bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on PID Parameter Tuning Based on Improved Artificial Bee Colony Algorithm
Authors: Li Mingzhu , Feng Xi 
Published: November 2020

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Research on Urban and Rural Planning and Smart City Construction in Big Data Era
Authors: Xu Zhang 
Published: November 2020

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Integrated Monitoring and Control of Deformation of Metro under Construction effected by the Construction of Foundation Pit
Authors: Wei Zhifan , Hu Juan , Xu Tie 
Published: November 2020

Abstract
In view of the influence of Metro under construction on the foundation pit excavation of the new commercial service project in the city and in order to ensure the safety of subway in the process of foundation pit excavation, combined with the geographical location and geological conditions of the project in this paper, the corresponding monitoring points were set up to protect and monitor the Metro near the project, so as to ensure the minimum impact on the Metro under the premise of normal construction of the foundation pit. The monitoring results were in line with the requirements of the specification, providing guarantee for the subsequent construction.
The Efficiency Evaluation of the Joint Application of Stone Column and Soil Mixing Method for Liquefaction Prevention of a Caisson Wall
Authors: Tong Bin , Han Bing 
Published: November 2020

Abstract
Waterfront caisson wall is commonly seen port structure that could be heavily damaged by liquefaction. Although the mitigation measures were mostly proved efficient in theory, yet insufficient, particularly in providing an easily implemented remedial plan with design parameters for routine practices of liquefaction risk reduction. In this study, using the damaged caisson wall structure recorded from case history as the unimproved benchmark, the remediation effectiveness of a joint method - the stone column and deep mixing method for liquefaction risk reduction is examined based on the deformation comparison between the damaged and hypothetically improved seismic performance of the wall-soil system. Highlights on the establishment of liquefaction risk reduction process for caisson walls are generated as recommendations for practices.
Research on Location and Morphological Characteristics of Traditional Settlements along Xijing Ancient Road
Authors: Pan Ying , Huang Yue , Shi Ying 
Published: November 2020

Abstract
Ancient post road is the channel of material and information transmission in ancient China, which has the function of migration and cultural exchange. Xijing Ancient Road is one of the ancient post roads in Guangdong. It has a large span from north to south, and settlements along the road have different location and morphological characteristics. This paper analyzed the data of 113 traditional settlements along Xijing Ancient Road by using Google Earth and ArcGIS. It is found that the site of villages has the trend to distribute in the high elevation district, settled on the gentle slope and close to the foot of mountain. From the perspective of village morphology, most of the villages are massive. The street texture of the settlements in the north of the ancient road is grid-like, while the lanes in the south of the ancient road are mainly transverse. Different natural environment along the Xijing Ancient Road is the basic influencing factor, and the complex and diverse immigration backgrounds are the key influencing factors. Both of the two factors work together to lead to the diversity of traditional settlements along the Xijing Ancient Road.
Application of the Limit equilibrium method to the headcut migration of levee breaching
Authors: Liu Zhenzhen , Li Tian , Ding Yuxi , Zhang Xianlei 
Published: November 2020

Abstract
The headcut migration describes the physical process of the levee side slope retreat and the headcut length governs the breach widening. As a typical mode of slope stability due to soil tensile failure, the limit equilibrium method was used for the calculation of the headcut length. By considering the soil tensile stress state, the Hoek-Brown failure criterion provides a reasonable description of the levee material response. Then, the headcut length was calculated by using LEM in Slope/W. The comparisons with a large scale test show that the calculated headcut length by using LEM in Slope/W has good agreements with the measured data.
Study On Dynamic Simulation Of 1250mm2 Conductor Stringing System
Authors: Xue Chufan , Han Yongming , Bai Junfeng , Ju Yanzhong 
Published: November 2020

Abstract
In order to study the mechanical properties of 1250mm2 conductor in the process of stringing. The numerical simulation results show that the maximum axial tension of conductor and traction rope is 1.2 ∼ 1.4 times of the theoretical calculation value. The amplification coefficient of traction overload protection is improved.