bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Distributed Photovoltaic Power Station Builders Segmentation Based on Data Mining
Authors: Yang Ke , Wang Hejian , Wang Junsheng , Chen Shaozhen
Published: November 2020

Simply according to the investment scale of distributed photovoltaic power station builders, the subdivision of the builder fails to fully consider their potential value, thus underestimating the contribution of the builder to the e-commerce platform. This paper constructs the value index evaluation system of the distributed photovoltaic power station from the current value and potential value of the builders. Based on the objective data of the builders and the clustering algorithm, this paper establishes a two-dimensional subdivision model of the builders based on the current value and potential value of the builders. This paper proposes specific marketing strategies for the value characteristics of each type of builders, which provides a scientific basis for e-commerce platform marketing decisions.
Design of Distributed Intelligent Terminal System of Electric Distribution Network Based on Blockchain Technology
Authors: Zhen Zijing , Liu Zhu , Wang Limin , Li Wenjing , Song Zehua , Zhang Wei
Published: November 2020

With the construction of the energy internet and the maturity of the electric Internet of Things technology, intelligent terminal products in the distribution network are widely used in power system. Under the existing architecture of distribution IoT network, the access of large number of intelligent terminals will bring problems such as over-centralization and data security. In response to these problems, this paper proposed a distributed intelligent terminal system of distribution network based on blockchain technology, illustrated the overall architecture of the system, and analyzed the necessity of adopting the distributed intelligent terminal system. The system’s operating mechanism was showed combined with a specific case, and the technical solution was elaborated. Finally, the advantages and limitations of the system were discussed, and the integration of blockchain technology and power IoT technology was prospected.
Detection System of Switch Power Supply Based on DSP
Authors: Hou Yunhai , Gao Jiaze , Zhang Huawen
Published: November 2020

The power supply of electronic equipment is significant and have important function in electronic field. In this paper, a detection system of switch power supply based on DSP is introduced. The system can detect the duty-ratio of capacity value, inductance value, resistance value,output voltage value,diode voltage drop and current pulse-width modulation chip on PCB of switch power supply. Consequently, it finishes the real-time detection on PCB and it is significant to research the fault analysis of switch power supply. The schematic diagram and the outside circuit schematic diagram based on DSP is given in the paper. In the meanwhile, the system accomplishes the data selecting and setting of lower computer by using LabVIEW upper computer. The system has the universality to electrical industry.
Based on PowerMill and K2X8 Five Axis CNC Machine of Realization of Integral Impeller Machining
Authors: Ye Xuanlin , Zhang Wu , Zou Zou , Xu Lianjiang
Published: November 2020

Based on the powermill2019 software platform, taking the integral shunt impeller as an example, this paper analyzes the overall structure characteristics and machining difficulties of the integral shunt impeller, reasonably formulates the NC machining process plan, and uses the powermill2019 impeller machining module to plan the tool path, so as to generate the tool path file, and verifies the correctness of the tool path by simulation machining. Through the special post processor of powermill2019 five axis machining center, the NC program of integral shunt impeller is generated and uploaded to k2x8 five axis CNCmachining center to complete the actual processing of integral shunt impeller. Through the inspection of impeller, the results show that the impeller fully meets the design and use requirements.
Trips Analysis of Swimming Crab Gillnets Based on Vessel Monitoring System
Authors: Zhang Shengmao , Fan Wei , Wu Zuli , Zhu Wenbin , Pei Kaiyang
Published: November 2020

Gill net is an important traditional fishing net, which has the largest number in China. It is accounting for one third of the total vessel number. More than 60000 Chinese fishing vessels were equipped with Beidou terminals. They are similar to the VMS (Vessel monitoring system) system in the world. It can send information of time, speed, course and position of fishing boat. Its time and space resolution are high. The trajectories of fishing vessels are curved lines, and port area is plane. There is a spatial relationship between them. In this paper, the relationship between trajectories of fishing vessels and port surface is used to extract 15000 voyages of 56 fishing vessels. 16.91% of them had a voyage within one day. The fishing vessels with long trips come from Shengsi, Taizhou, Sanmen and Linhai. The trips of fishing vessel were concentrated in Shengsi, accounting for 84% of the total, and Taizhou accounted for 5.4%. The other port only had 10 to 40 vessel trips.
Design and Implementation of Ground Terminal for Aerial Radio Monitoring System Based on UAV
Authors: Zhou Chao , He Songru , Ye Jia , Jia Pingfa
Published: November 2020

The electromagnetic environment is becoming increasingly complex, and frequent radio interference to civil aviation has seriously affected the safe operation of civil aviation systems. In this article, the team designed a ground terminal system for an aerial radio monitoring system based on UAVs (Unmanned Aerial Vehicles), which was redeveloped based on the Mission-Planner open source ground station platform. The system used UAVs as flight platform, and used antennas, radio receivers and other hardware equipment for monitoring. The system could control UAVs and monitor radio signals. Tests such as frequency band scanning and two-point cross positioning show that the terminal system can implement the functions of controlling UAVs and radio monitoring, while effectively streamlining the number of workers and effectively improving the efficiency of detection.
Tracking Control for the Stochastic Distribution System
Authors: Qu Yi , Zhang Weiting
Published: November 2020

A novel controller for the SDS with time-delays is investigated in this work. The control aim is to control the system output PDFs to trace the trail of given target PDFs. Based on B-spline expansion, the PDFs control can be turned into the weight vector tracking problem, and it is to find the controller gains, in order that the system output weights can track the given target weights, and the closed-loop system is asymptotically stable.
Research on Combined Location Method of Dual Rail Inspection Vehicle Based on Adaptive Kalman Filter
Authors: Liu Changjun , Wang Daiyue , Lin Peng , Zhong Tianyi , Li Jin
Published: November 2020

Dual rail inspection vehicle has the function of inspecting rail defect points automatically and an odometer is required for its localization. Since real-time localization of rail defect points still needs manual calibration, it cannot meet the requirements of automatic vehicle operation. In this paper, the automatic localization methods are discussed. The Adaptive Kalman Filter (AKF) is employed for the multi-sensor data fusion of the odometer and the Global Navigation Satellite System (GNSS). Then the GNSS/odometer combined localization model has been built to improve the accuracy and reliability of the inspection vehicle localization. In addition, the hardware board is designed. Finally, the on-line test has been performed on the Shanghai-Hangzhou railway line. The experimental results show that our combined localization method can significantly improve the accuracy compared with that of the single GNSS method from 1.848m to 1.093m.
Calculation and Experimental Study on a Rotary Percussion Positive Displacement Motor
Authors: Zhang Haiping , Zang Yanbin , Wang Jiachang
Published: November 2020

A positive displacement motor (PDM) driven rotary percussion drilling tool, named rotary percussion PDM (RP PDM), is developed. Using conventional PDM as rotating power source, high-frequency axial impact and vibration or impact is generated to raise rate of penetration (ROP) through an impact mechanism consisting of a couple of mating cams. Strength is calculated and checked for dangerous cross-sections, and all of them meet the strength requirements. Stress distribution under different loads is analysed for the mating cam mechanism. Safety coefficients of upper and lower cams under maximum load are 3.69 and 2.36 respectively. Both are greater than the allowable safety coefficients, which prove tool’s design safety and reliability. Ground performance test shows that its overall power output parameters meet field compound drilling condition requirements. Field trials shows preferable ROP improving effect by over 30%. In Xu36A well especially, ROP is more than doubled. Therefore, the tool has positive significance to accelerate the pace of oil exploration and development and to reduce drilling costs.
Research Status and Application of Buckling Restrained Brace Technology
Authors: Liu Ping , Xu Yang , Wang Zhixin , Ma Hua
Published: November 2020

For the past four decades, researchers have worked upon and developed a bracing system. called the buckling restrained brace (BRB) for frame braced structures. This system counteracts compression from buckling during strong earthquakes. The system has the advantages of a common brace and damper, providing lateral stiffness to the structure under frequent earthquakes. Seismic energy can be dissipated by the steel core yield, under both rarely expected and moderate earthquakes. This paper is devoted to the concept of BRB, its components, characteristics, and its current deficiencies. It also discusses the current limitations and estimates the developing trend of this technique. It has a certain reference value for in-depth studies on BRB system.
Optimization of Die Parameters in Annular Channel Angular Extrusion Based on Strain Distribution Uniformity
Authors: Zhao Xi , Guo Lafeng , Gao Pengcheng , Wang Dengkui , Wang Zhen , Liu Jie , Zhang Zhimin
Published: November 2020

In this paper, a recently developed backward extrusion method enforcing severe plastic deformation is modified for processing cup-shaped part with homogeneity strain. Variation of channel angles (Φ) and corner angles (Ψ) have been employed to obtain a better strain distribution. The performance is analyzed using finite element modeling Deform 3D commercially available software. To verify the simulation results, the experiment was carried out for AZ80 magnesium alloy. The present work investigates effective strain distribution behavior, analyzed by several strain regions during the forming process. Furthermore, the influence of different channel and corner angles on the strain distribution uniformity of the wall in the formed part is especially evaluated. The best strain homogeneity is obtained with Φ=75° and Ψ=60°. Particularly worth mentioning is that the strain uniformity achieved by this novel method is better than that obtained in the conventional backward extrusion. While the smaller corner angle (Ψ) can develop gradient effective strain distribution, adversely affecting the strain homogeneity.
The Design of a Double X-axis Gantry Bayonet Tufted Carpet Weaving Machine
Authors: Xin Haiming , Xie Yonghui , Li Haiqing , Song Pengfei
Published: November 2020

In order to achieve high-quality and high-efficiency production of hand tufted carpets, a gun-punched tufted carpet weaving machine is designed in this paper. The carpet weaving machine is based on the development of Advantech industrial computer and Googoltech GTS-800-PG. The designed double X-axis gantry frame ensures continuous production speed of up to 1500 clusters per minute. The precise frame transmission mechanism realizes smooth curves, sharp Angle and small stitch angle movement under high density. This article mainly introduces composition of the control system and the design of overall mechanical structure of the carpet weaving machine, and looks forward to the development trend of the machine.
Simulation Analysis of Steering Wheel Angle Step Input Double-trailer Combination Handling Stability
Authors: Li Yue , Zhang Hongwei , Zhang Hao , Zong Chengqiang , Ou Chuanjin , Zhang Xueli
Published: November 2020

The simulation software TruckSim was applied to build a simulation model of a double-trailer combination and analyze the steering characteristics of a semi-trailer train at the steering wheel corner step input. Through simulation analysis under different speeds and structural parameters, the intrinsic relationship between the steering characteristics of double-trailer trains and the speed and structural parameters is revealed, and the performance characteristics of the steering characteristics of double-trailer trains under these conditions are given, which provides reference for the evaluation and analysis of the steering stability of double-trailer combination.
Precision Machining and Nondestructive Evaluation for Tiny Arc of a Valve Body
Authors: Wang Kun , Huang Zongbao , Meng Qingxin , Ran Jiangnan , Pen Hongmin , Gao Ben
Published: November 2020

The valve body is one of the key parts in the solenoid valve products, which mainly plays the role of seal. Due to the airtight index, the tiny arc structures of the valve port are complicated, which causes the high requirements of dimensional accuracy, geometric tolerance and the surface roughness of the product and difficulty of machining and inspection. Traditional processing method can not meet the demand of batch and rapid production. This paper presented a new method of precision machining and inspection for tiny arc, which realized the precision machining and nondestructive evaluation of Ra0.2 roughness and R0.2mm arc surfaces of valve bodies with GYJ130 soft magnetic alloys. The processing methods greatly reduced the requirements for the skill level of operators. The experimental results showed that the machining efficiency of valve body was increased at least three times, and the qualified rate was increased from 60-70% to more than 96%, while the cost of production and material were reduced proportionally.
Analysis of the Explosion of Dissimilar Steel Joints in the 1050MW USC Boiler
Authors: Yang Qingxu , Shi Xiaoming , Yang Chao , Yang Xianbiao , Peng Hongwei , Liu Xubi , Wan Yu , Zhang Xiaokang
Published: November 2020

The leakage of dissimilar steel welded joint near the third superheater occurred in a power plant boiler. Through the analysis of tube cutting sampling, it is considered that the welding quality of dissimilar steel joint is good, the dissimilar steel joint cannot bear the bending load, and the improper arrangement of weld joint position together cause the leakage. It is suggested that the welding joints of dissimilar steel should not be arranged in the position with complex structural stress in the design, and the inspection of anti-abrasion and anti-explosion blind area should be strengthened in the process of maintenance.
Design of Vision Guidance Transferring System for Automobile Hub Manufacturing
Authors: Zeng Zhi , Zhou Yongfu , Zhong Guosheng
Published: November 2020

In the era of industrial 4.0 intelligent manufacturing, improving product quality and reducing labor costs are important issues in the transformation and upgrading of manufacturing industry. For Automobile Hub manufacturing, first the whole design of software and hardware based on visual guidance is carried out; then, from the perspective of equipment communication and control, the communication between industrial robot and PC host computer is implemented by using Modbus RTU communication protocol, and PLC control frequency converter is selected to complete the control of transmission unit, and finally, the parameters of camera geometric model are obtained by software identification during the wheel hub to be transferred Now the camera is calibrated, so that the offset can be calculated further to adjust the robot’s attitude, and finally the whole process of visual guidance and load transfer can be completed through image recognition. The practice shows that the visual guidance design scheme has been successfully applied to the automatic production line of automobile hub, which improves the production efficiency of the factory and further reduces the cost.
Optimal Hermitian Wavelet Filtering and Envelope Spectrum Based Bearing Defect Diagnosis
Authors: Li Hui , Zhang Yuping
Published: November 2020

Local faults in rolling bearings often give rise to periodic impulses in vibration signal. The periodic impulses can be extracted by resonance demodulation technique. Therefore, the resonance demodulation technique is a popular technique of rolling bearing defect recognition and diagnosis. However, the selection of optimal band-pass filter parameter is usually more difficult. The proposed method is the union of the continuous Hermitian wavelet transform as time frequency tool and the spectral kurtosis as transient impulse indicator. Firstly, continuous Hermitian wavelet transform is utilized to process the vibration signal and the wavelet amplitude and phase diagram are obtained. Secondly, the spectral kurtosis is calculated to select the best band-pass filter parameters. The proposed procedure and spectral kurtosis are used to optimize the parameters of continuous Hermitian wavelet for bearing defect detection. The bearing failure test results show that the proposed method can effectively extract the transient features and diagnose the bearing fault.
Development of a Portable Intelligent Electric On-site Wrench Calibration Device
Authors: Zhao Yinming , Xu Jian , Chai Jixin , Hao Qun
Published: November 2020

In large assembly workshop, such as automobile assembly workshop, the number of the wrenches is large. Some wrenches that used in fields are scattered. It is not convenient to send all such wrenches to laboratory for calibration at the same time, so it is necessary to develop a torque wrench calibration device which is suitable for on-site calibration. An intelligent indicator with MCU was developed, which can display and record the torque value, which is convenient for operators to record the data without paper and can check the data later. The intelligent indicator can also calculate the error at the same time, which improves the work efficiency by replacing manual calculation. A DS2401 chip was hidden in the transducer. It is cheap and has an unique sequence code, which is easy to identified by MCU. The MCU seeks the codes already stored in the indicator and matches linear correction coefficient to the transducer. It is first to use DS2401 chip to realize plug and play, which can avoid the measurement error even device damage caused forgetting switch the channel. The device also has an chargeable motor, which can save time and labor especially when mechanical gap exists and load a large torque value. The main characters of the device are auto-identifying transducer, powerful data handling similar to a compute and chargeable motor. All of these guarantee the device being intelligent and efficiency for the on-site wrench calibration.
Investigation on Characteristics of Natural Fractures within Carbonate Formations and Mechanical Features of Related Tectonic Movement in a Block of Shunbei Oil Field
Authors: Chen Xiuping , Shen Xinpu , Zhang Jun , Sun Yunqiang , You Dongdong , Liu Wei
Published: November 2020

Investigation has been performed on natural fractures within carbonate formation in a block in Shunbei Oilfield. Classification has been done over natural fractures in the block. Patterns of distribution of natural fractures within the carbonate reservoir formation have been identified. Principal results include: 1) seismic data and sedimentation information along with history of tectonic movement have been used to analyze natural fractures. 2) It is found that natural fractures withinT74-T76 carbonate reservoir formation are generated by tectonic movement of middle Caledonian I and II periods, and are mainly through fractures/faults with strike-slip characteristics. 3) 3D finite element model was built for this block with seismic data. Numerical calculations of 3D Continuum Damage Mechanics were performed. Results of numerical forward modeling has given out the 3D distribution of natural fractures which are represented by the localization band of damage variables under loading of tectonic movement of middle Caledonian period.
Research of Physical and Mechanical Properties of Aluminum Alloys
Authors: Zhdanov A , Voznesenskaya A , Belyaev L , Novikova E
Published: November 2020

In this work, we studied the physicomechanical properties of aluminum alloys of various manufacturers obtained by selective laser melting. The groups of samples obtained under different melting conditions are considered. Data were obtained on the behavior of the growth of an object depending on the speed of scanning with a beam and the power of laser exposure.
Research on Articulated Connector Load Identification Based on Dynamics
Authors: Zhu Ning , He Maosheng , Zhang Qiang , Yin Yi , Ren Zunsong
Published: November 2020

At present, articulated vehicles are developing rapidly in China and articulated connectors are important parts of articulated vehicles. In March 2016, CRRC Qiqihar Rolling Stock co. LTD designed the GJ1 articulated connector. Due to the complexity of the articulated connector structure and stress distribution, it is necessary to study its loads in the application process. In this paper, the load identification of an articulated connector was mainly studied based on dynamic analysis. The dynamic model of the two coupling articulated vehicle was established. The relative motion relation of bump joints and the load conditions under some working conditions were analyzed. Finally, the finite element model was established and the static strength of the articulated connector was analyzed by means of the definition contact between the articulated connector parts. The results showed that the relative lateral displacement and relative side roll rotation angle of the concave and bump joints of the articulated connector were maximum in each working condition. More attention should be paid to the actual operation. The static strength of the main stressed parts of an articulated connector meet the design requirements. Since the material used for traction pin was not determined, high-strength tool steels T10 and T10A were recommended.
Influences of Construction of Balcony Structural Column on Internal Force of Frame Structure
Authors: Yang Zhihui , Lei Dong , He Jintao , Zhu Zhengguo
Published: November 2020

Balcony structural column is constructed as a secondary structure traditionally. Not only the construction process is complicated, but also the construction quality is erratic, which results in a large number of repairs and costs. On the other hand, the concurrent method that balcony structural column and main structure are constructed as a whole structure is more convenient for operation and benefit for the construction quality. Therefore, influences of construction technique of balcony structural column on the internal force of frame structure deserve investigation and analysis. Through comparative analysis of Construction Process and selection of a frame structure model calculation and analysis, balcony structural column and main structure are constructed as a whole structure of the useful results. Through analysis, find out synchronous construction is more conducive to improve project construction quality, more convenient construction operation.
Research on Mechanical Constitutive Model of Fuzz Button Connector
Authors: Huang Ran , Kong Zhigang , Wang Baoyou , Zhang Lei , Zhu Ming , Yang Fan , Li Xinhang
Published: November 2020

In this paper, the mechanical constitutive model of fuzz button connector was studied from a theoretical perspective. Based on the structure of the fuzz button, the spatial configuration and contact mode of the metallic protofilament were analyzed, and the meso structural unit of the single metallic broken-line segment based on the simply supported beam structure was proposed. From meso to the unit structure, the constitutive model of the fuzz button connector subjected to a certain compressive load was derived. Some basic parameters such as the diameter and the elastic modulus of the metallic protofilament, relative density of the fuzz button, the length and winding angle of broken-line segment, which were all included in the model. It fills the blank of the mechanical research of the fuzz button connector, and provides a theoretical basis for further research on the mechanical characteristics of the fuzz button connector and guiding the practical application.
Research on Cooperative Vehicle-Infrastructure System Use Case Based on Edge Computing Technology
Authors: Yang Yuehua , Lyu Chenyang , Wang Anna , Wang Xinke , Cai Lei
Published: November 2020

The ability of edge computing determines the effectiveness of the cooperative vehicle-infrastructure system to improve traffic safety, efficiency and capacity, enabling traditional information release method have backstage processing and distribution. It is converted to vehicle, road and backstage after being processed by edge computing algorithm. Vehicles are timely and effectively controlled and induced. Based on the full analysis of the development status at home and abroad and the analysis of actual engineering needs, this paper proposes the composition of the cooperative vehicle-infrastructure system and the main factors affecting edge computing, studies the existing edge computing methods, and finally combines the current smart highway demonstration projects. The actual needs put forward the cooperative vehicle-infrastructure use case research based on edge computing. The use case analysis has significant guiding role for the design, R&D and engineering implementation of the smart highway cooperative vehicle-infrastructure system in China.
Effect of Ni60-WC on Properties of NiCrAl Coating
Authors: He Binfeng , Ye Fangxia , Liu Mingxia
Published: November 2020

Ni60-WC reinforced NiCrAl coatings were prepared on the TC4 alloy by laser cladding technique with different mixed powders: 95%NiCrAl-5%Ni60-WC, 85%NiCrAl-15%Ni60-WC, 75%NiCrAl-25%Ni60-WC (wt.%). The microstructure, phases compositions, microhardness, wear properties were studied. The results showed that the mainly consists of dendrites and bulk like compounds crystal and some of flower-like microstructure formed. The XRD results indicated TiC, VC metalloceramics, Cr0.2Ti0.8C, NiTi2, Ni2W4C and AlFe3C intermetallic compounds generated. The microhardness of the coatings are 881HV0.3, 778HV0.3 and 788HV0.3, respectively. Compared with the substrate hardness about 200HV0.3, the hardness of coatings have been improved significant. The friction coefficient of coatings are 0.35, 0.42, and 0.42, respectively, and the wear rates of the coatings are 3.86×10-7mm3N-1m-1, 4.51×10-7mm3N-1m-1 and 4.34×10-7mm3N-1m-1, respectively.
Determination of Mixing and Conveying Parameters in a Phosphate Rock Filling System
Authors: Li Xin , Guo Lijie , Xu Wenyuan
Published: November 2020

A phosphorus mine in Hubei Province adopts the roof cutting room pillar method of non rail equipment layered mining. With the extension of exposure time, the stress in the goaf further changes and the pillar has begun to damage, and the failure rate has a trend of increasing. In order to avoid large-scale goaf caving, the mine decided to adopt concrete cemented filling method to mine unstable pillars. In filling material preparation and filling system, mixing technology, equipment and conveying system play an important role. In this paper, according to the actual situation of the mine, we have carried out investigation, analysis and calculation, finally, the slurry transportation and mixing process, the pipeline transportation model and main pipeline transportation parameters has been determined. It provides a theoretical basis for the application of filling method.
New Approaches in Simulation-driven Optimization
Authors: Tenne Y
Published: November 2020

This paper presents a work regarding the integration of discriminant functions (classifiers) with search algorithms to tackle the problem of failed simulation runs. The discriminant output is used to guide the search towards better solutions while minimizing adverse effects. The search is managed with a trust-region approach for convergence in the presence of prediction inaccuracies. Numerical evaluations based on engineering problem show that the approach yielded better final results in the mean and median statistics when compared to reference algorithms.
Research on PID Parameter Tuning Based on Improved Artificial Bee Colony Algorithm
Authors: Li Mingzhu , Feng Xi
Published: November 2020

Aiming at the difficulty of tuning industrial PID control parameters, an improved artificial bee colony PID tuning method is proposed. The improved artificial bee colony algorithm (IABC) uses Boltzmann selection mechanism to avoid premature convergence of roulette mechanism; at the same time, the global crossover mechanism is introduced in the domain search, which enhances the direction of the algorithm; and through chaotic avoiding search, the diversity of population is increased and the ability of global search is improved. Finally, the IABC algorithm is applied to PID parameter optimization of second order system. The simulation results show that the IABC algorithm obtains smaller ITAE and adjustment time than the basic artificial bee colony algorithm and Ziegler-Nichols engineering tuning method, and there is no overshoot. The performance of IABC algorithm is obviously improved.
Reconstruction of Target Fluctuation Characteristics Based on L_M Algorithm
Authors: Xu Jiahua , Zhang Xiaokuan , Zong Binfeng , Zheng Shuyu
Published: November 2020

High-precision are conducive to accurate analysis of radar detection performance. Therefore, building a highly accurate target RCS undulation characteristic library plays an important role in target detection and recognition field. Traditional RCS fluctuation models are not very accurate and can not describe target fluctuation characteristics at frequency zone. To solve this problem, a new method is proposed, which is based on the L_M (Levenberg-Marquardt) optimization algorithm to compress the target fluctuation characteristics. Firstly, RCS fluctuation characteristics of radar targets are obtained by calculating the full-angle RCS of the simple model. Then the L_M optimization algorithm is used to calculate the neuron parameters and perform experimental fitting. Finally, compared with traditional modeling and theoretical data, which can validate the superiority and effectiveness of the proposed method.
Forecast of Traffic Vehicle Demand Based on AHP Decision Model
Authors: Xia Jie , Tan Jintao , Li Li , Gu Musong
Published: November 2020

The development of high technology has driven the rapid growth of civil aviation passenger demand. However, most current studies ignore the impact of increased passenger traffic on ground vehicle demand. This paper studies the demand forecast of transportation vehicles in a specific environment. Taxis are under huge service pressure when faced with the characteristics of irregular time distribution and high dynamics. After the taxi driver escorts the passenger to the airport, it is a big problem whether to leave without a load or go to the car pool. This paper uses Analytic Hierarchy Process (AHP) to construct a judgment matrix, establishes an airport taxi demand forecast model based on the best interests. Taking the status of taxi operation in Kunming Changshui International Airport as an example, the results show that the model can predict taxi demand more accurately and has practical guidance significance. Compared with traditional schemes, it is more conducive to improving driver’s income.
Safety Analysis of Transmission Tower Subjected to Different Levels of Wind Loading
Authors: Yang Yunzheng
Published: November 2020

Wind loads are the primary environment during the usage of power transmission tower. If transmission tower cannot bear the wind loads, the collapsing of transmission tower can lead to the interruption of electric power supply. In this paper, some effects of wind loading on the mechanical response of transmission tower were analyzed by means of commercial finite element software ABAQUS. A narrow based steel lattice transmission tower model was used. A finite element model was established to analyze the truss system. Based on the simulated results, the maximum stress and displacement of transmission tower were achieved for different levels of wind loading. The research indicated the wind loading has an important effect on the mechanical responses of power transmission tower. Both the maximum stress and maximum displacement increase with the increasing level of wind. When the wind level is larger than 12, the power transmission tower could be collapsed.
Study on the Influence of Wall Spacing on Double Diaphragm Wall Supporting Structure for Ship Lock Expansion
Authors: Jaramillo Carlos E.
Published: November 2020

Given China’s economic growth, current river ship locks in the Beijiang channel are reaching saturation. Ship lock expansion at key navigation terminals is imminent. This paper took Qingyuan’s new second-line ship lock in Guangdong, China as the engineering case, were a double diaphragm wall was utilized as the support scheme. Currently, there are very few engineering examples of this type of support structure both in China and abroad. Through the geotechnical finite element analysis software MIDAS GTS NX, a 3D finite element model was constructed to study the deformation and internal stresses of the support structure and adjacent ship lock, during the new ship lock’s foundation pit excavation, under different wall spacing. Based on the engineering case simulation results under different double diaphragm wall spacing, conclusions are reached on the influence and behaviour of the wall spacing double diaphragm wall structural parameter.
Evaluation of Education Resources Allocation in Beijing Based on Entropy-TOPSIS Method
Authors: Kong Xiangming , Yan Linjing , Wang Donglin , Yu Mei , Liu Xiaoming
Published: November 2020

An entropy-TOPSIS method has been developed in order to evaluate the resources allocation in training education of higher vocational college in Beijing. In the developed method, the entropy method has been introduced into the TOPSIS framework to determine the weight of indexes of education resources allocation. The results indicate that the instruments for practical teaching from companies and the proportion of full-time teacher with bipolar teaching are the highest and least important indexes, respectively. The results of evaluation indicate a decrease in the total allocation of higher vocational colleges in Beijing from 2017 to 2019. And the highest and lowest values of closeness are 0.4247 in the year of 2017 and 0.3809 in the year of 2019, respectively. Moreover, the disparity of training education resources allocation between different higher vocational colleges in Beijing can be achieved, which could be used as a reference for improving the resources allocation and increasing the investment in training education.
A New Economic Order Quantity Model
Authors: Huang Qing , Wu Peng
Published: November 2020

Every enterprise will be faced with the problem of whether the products and parts are made by itself or purchased from outside, and how many goods should be ordered. This paper proposes an Economic Order Quantity model, which can solve this problem by balancing the purchase cost and inventory cost.
Research on Urban and Rural Planning and Smart City Construction in Big Data Era
Authors: Xu Zhang
Published: November 2020

Recent years have witnessed faster information development and the wide application of big data, Internet of Things (IoT) and other intelligent technologies, which has laid a solid foundation for the development of new technologies and new environment. [1] Countries and regions around the world are promoting the digital smart development strategy with the hope of building smart urban and rural areas. In big data era, the main task of smart city planning and construction is the integration of data resources and the open sharing of data information. Therefore, information technology is indispensable for the planning and construction. Proceeding from the big data era, the paper explores technical details related to smart city planning and construction, aiming to create a more comfortable and livable environment for people and promote the overall improvement of China’s urban construction. [2]
Barriers of 5D BIM Implementation in Prefabrication Construction of Buildings
Authors: Yao Yujuan , Qin Hua , Wang Junze
Published: November 2020

Building information modeling (BIM) has been proved a positive impact on architectural, engineering and construction industry recently. Especially 5D BIM which integrates 3D model, schedule, and cost information to allow automatic generation of quantities to be a quicker and more accurate data extraction procedure to facility a more efficient cost management in construction. However, there is limited research of analysing 5D BIM engaged in prefabricated buildings. This research aims at discovering significant barriers which would influence the 5D BIM implementation for prefabricated projects.
Research on landscape Spatial Structure Optimization of Garden sculpture based on improved Particle Swarm Optimization algorithm
Authors: Chen Mengxiao
Published: November 2020

Traditional methods in landscape sculpture landscape spatial structure optimization, did not consider the harmony between sculpture landscape and garden, there is a problem of long optimization processing time. Therefore, this paper designs a new optimization method of landscape sculpture spatial structure by improving particle swarm optimization algorithm. This paper analyzes the influence of garden sculpture on the whole space of the garden, and establishes the landscape space structure optimization model of garden sculpture. The spatial optimization index of garden sculpture landscape was established through analysis, and the spatial optimization constraints were set. The improved particle swarm optimization algorithm was used to solve the optimization model, and the optimization of the sculpture landscape spatial structure was completed. Compared with the optimization method based on genetic algorithm, the experiment shows that the optimization method based on improved particle algorithm has short processing time, and the optimized vegetation area, harmony between sculpture and garden are significantly improved, with better application effect.
Experimental Research on Mechanical Performance of Rebar Sleeve Grouting Connector
Authors: Chen Xudong , Shen Lu , Shi Guodong , Wei Yuhu , Wang Yiwen
Published: November 2020

The rebar sleeve grouting connector is an important vertical connection component in the fabricated structure. This paper focuses on the study of the mechanical performance of the reinforcement sleeve grouting connector under unidirectional loading and high-stress cyclic loading. Through experimental analysis, the researcher studied the mechanical properties and anchoring mechanism of a total of 54 rebar sleeve grouting connectors with 2 test methods, 9 sizes, and 3 defect types under unidirectional loading and high-stress cyclic loading. The test results show that there occurred two types of failure, namely, rebar fracture and bond-slip. To be more specific, the specimens with anchorage lengths of 8.0 d and 7.0 d both encountered the result of rebar fracture, which meets the relevant regulations on the strength and deformation of the joints of the level-I connection in Technical Specification for Mechanical Connection of Steel Bars (JGJ 107-2010); and the test pieces with the anchorage length of the steel bar of 6.0 d all had the steel bond-slip failure, which does not meet the requirements of the specification.
Study on the disaster mechanism of near-fault pulse-like ground motion of M8.0 Wenchuan earthquake
Authors: Li Chunfeng , Ren Fengwen , Yan Qingmin , She Tianshe
Published: November 2020

With the improvement of observation quality, more and more near-fault strong earthquake records have been obtained. Through the analysis of near-fault strong ground motion records of Wenchuan earthquake, the collection and field investigation of seismogenic structural data, as well as the collection and field investigation of near-fault structural damage data, the disaster mechanism of Wenchuan earthquake is studied. The impulsive ground motion (directional effect, permanent displacement effect, etc.) near the fault is determined. It is confirmed that the pulse-like ground motion (directivity effect, permanent displacement effect, etc.) near-fault is the main cause of earthquake damage. Pulse-like ground motion has the characteristics of high peak value, wide frequency band and long duration. Therefore, it is easy to resonate with the structures with different basic periods, thus causing serious direct disasters and indirect secondary disasters.
Intelligent Mining and Parallel Processing Technology of Tunnel Construction Data under Complex Geological Conditions
Authors: Si Wei , Men Yanqing , Ge Zhenzhen
Published: November 2020

In order to achieve the safe and rapid construction of tunnels under complex geological conditions, it is necessary to fully and timely grasp the key information to carry out effective safety control. Massive information and multi-source heterogeneous data have become the bottleneck for timely and accurate risk assessment. Thus, the utilization of advanced information technologies such as the Internet of Things and data fusion is one of the important ways to improve the safety risk control level of subway tunnel construction. Building risks have a prominent role. This paper builds a tunnel risk information database and uses data mining technology to realize the structured expression of tunnel multi-source structural safety information data and apply it to engineering practice with good results.
Application Study on Treatment Technology of Geological Disasters Caused by Water and Mud Inrush in Ningchan Tunnel
Authors: Zhang Danfeng , Xiao Shilai , Cheng Liang
Published: November 2020

In the process of tunnel construction, water and mud inrush are engineering disasters which are extremely difficult to deal with and have great harm. With Ningchan Tunnel as the background, and combined with the actual situation of the project site, the causes of water and mud inrush in tunnels with weak geological structure are analyzed. Through safety risk analysis, a comprehensive treatment scheme of “advance pipe-shed reinforcement and curtain grouting” is put forward. By selecting the accumulated vault settlement and accumulated peripheral convergence of 4 typical monitoring sections before and after treatment, the deformation laws of Ningchan Tunnel before and after treatment are summarized: The accumulated vault settlement and accumulated peripheral displacement convergence of the monitoring section after treatment is far less than those before treatment. It shows that reasonable grouting reinforcement, advance pipe-shed reinforcement and other methods are suitable for the treatment of sections with water and mud inrush, and the treatment effect is obvious. It has certain guiding significance for similar tunnel projects.
Transversal deformation mechanism of shield tunnels caused by micro-disturbance grouting
Authors: Wang Lujie , Wang Rulu , Yan Jingya
Published: November 2020

Micro-disturbance grouting has been widely used in the control of transversal deformation of shield tunnel. It is proved that the grouting not only effectively controls the further deformation in the future but also reduces the existing large deformations. However, the study on grouting mechanism is relatively limited. By using the analytical model with the soil expressed by the Mohr-Coulomb yield criterion, the nonlinear relationship between soil stress and displacement in elastic-plastic zone of the grouting area are derived based on cavity expansion theory. The grouting pressure and required volume for different grouting distance between grouting holes and tunnel linings, and the grouting depth are given. The analytical results are compared with the monitoring data to validate the proposed model. According to the comparison results, the construction sequence of grouting hole can be optimized which can avoid short-time stress superposition to squeeze the tunnel segments and produce structural diseases. Moreover, the optimal grouting volume can effectively keep the effect of the reduction of the tunnel deformation by micro-disturbance grouting technology. The proposed micro-disturbance grouting and its associated optimized construction scheme can be quite helpful to the practical control of the large deformation.
Efficient reliability assessment method for bridges based on Markov Chain Monte Carlo (MCMC) with Metropolis-Hasting Algorithm (MHA)
Authors: Zhang Liye , Dong Lijuan , Cheng Shoushan , Li Wanheng , Wang Bingjian , Liu Hanyong , Chen Ke
Published: November 2020

Reliability assessment plays a vital roles in bridge health monitoring (BHM) technique. The analysis results of inspection data and monitoring data, such as numerical data, image data and video data, are not well due to there is no efficient reliability assessment method. This paper analysed the applied effect of Markov Chain Monte Carlo (MCMC) simulation method. The subset simulation method is used to analyse small failure probability events. Furthermore, the reliability assessment process based on Markov Chain Monte Carlo (MCMC) simulation method with Metropolis-Hasting Algorithm (MHA) is proposed. The advantage of this method is to improve the application efficiency and accuracy of reliability assessment based on BHM data.
Research on protection monitoring of existing subway tunnel based on high precision automatic monitoring system
Authors: Hu Juan , Wei Zhifan
Published: November 2020

In order to ensure the safety of the subway in the process of excavation, combining with the geographical location and geological situation of the project, with the high-precision automatic monitoring system, it sets up the corresponding monitoring points to protect and monitor the subway near the project, so as to ensure the normal construction of the foundation pit Iron impact is minimized. The monitoring results were in line with the requirements of the specification, providing guarantee for the subsequent construction.
Deep learning model of concrete dam deformation prediction based on CNN
Authors: Xi Wen , Yang Jie , Song Jintao , Qu Xudong
Published: November 2020

The concrete dam deformation prediction model is a key measure to predict the evolution of structural behavior and evaluate the safe service status. This paper uses open-source deep learning framework TensorFlow as the platform and uses the mature convolutional neural network technology in deep learning theory to establish the concrete dam deformation safety prediction model based on a deep learning. The application of engineering examples shows that the residual map, mean square error, and average percentage error are used as the model fitting and prediction accuracy evaluation standards. Compared with the shallow neural network model and the traditional Statistical model, the concrete dam deformation prediction model based on deep learning has higher prediction accuracy and more stable performance, providing a new method for concrete dam deformation monitoring.