bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of pipeline fatigue performance under random vibration load
Authors: Jin Chuanling , Wan Yu , Yang Qingxu , Xu Jiaju
Published: September 2020

As one of the most important equipments in power plant, the mechanical properties of steam pipe were analysed in this paper. Random vibration theory and Miner linear cumulative damage theory as well as frequency-domain fatigue analysis method were adopted, modal analysis and fatigue performance analysis of the in-service steam pipe were carried out with ANSYS, calculated first ten natural frequencies and cumulative damage under random excitation use Steinberg three-interval method. Results show that no fatigue failure will occur under this excitation load, the random vibration frequency-domain fatigue analysis method can effectively evaluate the fatigue performance of steam pipe, and provide a reference for the pipeline random vibration fatigue analysis.
Hybrid energy storage system of storage battery / super capacitor for mine electric locomotive
Authors: Zhu Longji , Wang Xinrui
Published: September 2020

At present, mining electric locomotive with lead-acid battery energy storage, when accelerating or braking, the battery bank (BT bank) in a short period of time is difficult to discharge large power and absorb feedback power, which affects the running efficiency and cruise mileage of electric locomotive. In view of the above problems, the hybrid energy storage system of storage battery and super capacitor is applied to the motor of mine car, and the complementary power distribution scheme of static power output by storage battery and dynamic power output by super capacitor is proposed. In order to realize the power sharing of the two energy storage devices, a bi-directional three-level DC/DC converter is proposed to realize the current and power control of the SC bank. The analysis and experiment show that the HESS can not only output large current and improve the acceleration performance of electric locomotive, but also can save electric energy and improve the running efficiency and cruise mileage of electric locomotive.
Bypassing-contravariant mode switching method for UPS in economic mode based on DSP program
Authors: Li Dawei , Zhang Qiaochu , Liu Dan , Li Yue , Ren Yi , Zhuang Qiming
Published: September 2020

Uninterrupted power supply has the highest efficiency and reliability under economic mode. When the grid power quality is qualified, the economic model UPS uses the grid power supply to supply the load directly, which achieves the highest system efficiency. However, when the voltage is too high, too low or the frequency is not normal, the large circulation will cause device damage or UPS failure, which cannot meet the requirements of load on power quality. To solve this problem, this paper proposes a switching control method of UPS system from bypass power supply state to inverter power supply state in economic mode based on DSP program. The method analyses the theoretical basis and switching time sequence of over-high detection of mains power in detail, and proves the effectiveness of the proposed method through experiments.
State estimation of lithium-ion battery based on Gaussian process regression
Authors: Li Jiabo , Jiao Shengjie , Ye Min , Wei Meng
Published: September 2020

The state of charge (SOC) of lithium-ion battery is one of the important parameters of battery management system (BMS). Accurate estimation of SOC can improve the safety of battery. Therefore, in order to improve the accuracy of SOC estimation, a new method based on Gaussian process regression (GPR) is proposed. The SOC estimated value at the previous time is used as the feedback vector, together with the current and voltage measured at the current time are used as the input vectors of the model to estimate the SOC at the current time. The experimental results show that the error of the proposed method is controlled within 2%, which verifies the effectiveness of the proposed method.
Analysis of contact resistance between fitting terminals
Authors: Fu Jianghao , Zhao Chongyang , Wang Wenhao , Zhang Wei
Published: September 2020

In order to reduce the influence of the through-current heating between hardware terminal and the electrical equipment terminal on the performance of the hardware, this paper studies and analyzes the composition of the contact resistance of the hardware and the factors that affect the resistance value, and proposes a method to reduce the contact resistance. Under the condition that the current is constant, it can reduce the heat between the terminal blocks and provide a reference for the subsequent design of the metal terminal block.
The effect of data sampling time on the accuracy of maximum output power of a thermoelectric module
Authors: Gao Junling , Feng Bo , Xi’an Fan , Zhang Shimin
Published: September 2020

The instantaneous short-circuit current and open-circuit voltage of TEM (Thermoelectric Module) can be used to quickly estimate its maximum output power (P

omax). Because of their instantaneous samples, the sampling time has a great influence on the accuracy of the estimated result. In this paper, the influence mechanism of sampling time is analysed systematically and a module of TEG1-127-2.8-1.2-250 is taken as a sample for verification. By means of either steady open-circuit/instantaneous short-circuit at mode A or steady short-circuit/instantaneous open-circuit at mode B, P

omax can be estimated quickly. At single mode A or B, the shorter the sampling time is, the greater the relative error of the estimation of P

omax has. This error varies with different temperature of hot plate, but the variation trend with sampling time is consistent. The valuations at model A and B are larger and smaller than the accurate values, respectively. When the sampling time is 600 to 1000ms, the error is the smallest (less than 3%). The accuracy of P

omax is significantly improved by using the average results of mode A and B. In this way, the sampling time has little influence on the estimation error, and the shortest sampling time corresponds to the highest estimation accuracy.
Diagnosis of partial discharge defects of 35kV cable joint based on high frequency and oscillating wave detection technology
Authors: Li Xu , Yu Yang , Kan Yongming , Zhu Mingzheng , Fang Shengchen
Published: September 2020

Combining with a cable test case, this paper introduces the process of locating and diagnosing a partial discharge defect in the middle joint of 35kV cable by using high frequency and oscillating wave detection technology, and analyses the characteristics of partial discharge signal, and puts forward some suggestions for the later test.
A study on negative oxygen ions shunting based on direct current pulsating co-frequency coupled electric fields method
Authors: Ji Dafeng , Gong Jianhao
Published: September 2020

This paper aims to explore the feasibility and stability of negative oxygen ions (NOI) shunting based on direct current (DC) pulsating co-frequency coupled electric field method, and the safeness under a high anion concentration. Negative oxygen ions were obtained under corona electric discharge from high negative voltage, a shunting method which was employed to detach the negative ions and neutral gas was executed with an uncoupled and a coupled electric field. In coupled field, the negative ions were exported with the same electric field derived from the ion emission polar as a guiding polar, while neutral gas was exported from another outlet; In uncoupled electric field, the purity of NOI from guiding polar powered separately is employed as a control group. Safeness test was approached with 2 rats under a normal cage system. The purity(separate) ratio of NOI between the guide outlet and the neutral gas outlet is 8.5, while the separate ratio is 163636.4 in the coupled electric field respectively. The purity of NOI is 18 million per cm3 in coupled electric field and 9.8 million per cm3 in uncoupled electric field. The purity of NOI is 180 million/cm3 under a voltage of -26 kV. The purity and separate ratio of NOI could be improved significantly after using the coupled electric field compared to uncoupled electric field.
Design and implementation of smart flying ball target based on APP
Authors: Zhou Yuying , Sun Chuanxing , Fang Yuan , Wang Ding
Published: September 2020

Home entertainment smart products have gradually become a hot topic. At present, home entertainment smart products are relatively simple to implement. They mainly use hardware or software methods to control and transmit information through Bluetooth or Zigbee. In order to solve the shortcomings of home entertainment intelligent products that lack intelligence and a single design method in the current market, this article uses embedded technology and Wi-Fi communication technology to design an intelligent flying ball target control system based on Android APP. Based on the hardware platform, the filtering algorithm and scoring algorithm of the flying target are studied. The flying target software system based on μC / GUI and μC / OS-III is written. The Android operating system is designed to connect to the flying ball target APP.
Discrete optimization model for permutation flow shop under time-of-use electricity tariffs
Authors: Wang Fang , Qin Pan , You Jing
Published: September 2020

The time-of-use electricity tariffs (TOU) which is widely used at home and abroad make the timeline for scheduling to have the attribute of different electricity tariffs. In order to solve the difficulty of coordination between electricity price segmentation and product processing time, this paper proposes a discrete optimization model, which uses central moment method modelling to ensure the continuity of job-processing and the uniqueness of processing time points. A discrete optimization model with maximum completion time and total electricity cost is constructed. According to the instance of the processing workshop and the characteristics of GAMS software, a virtual small-scale case of detection is constructed. By setting 11 groups of experiments with different weights, the total electricity cost is reduced by 30% compared with the traditional scheduling scheme after the electricity cost optimization is considered to avoid the peak arrangement of the electricity price. Although the maximum completion time is increased by nearly 30% on the surface, the downtime of staggering the peak is removed, the actual processing time is 42 minutes, and the total completion time is only increased by 5%.
Automatic grinding particle size control technology and equipment
Authors: Li Zhijing , Wang Yuxuan , Jin Zhongwu , Zhou Yinjun
Published: September 2020

The article provides an automatic particle size control technology, which uses advanced particle analysis research technology and modern motor variable frequency control and computer software technology. It can quantify and control the particle size of all products within the grinding capacity of the high-pressure micro-mill. This technology can be widely applied to model sand processing in river engineering model tests, which can greatly improve the processing accuracy, work efficiency, environmental protection performance and reduce energy consumption of ordinary micro-powder mills.
Research and application of the conveyor self-advancing tail without repeated support
Authors: Ma Lianwei
Published: September 2020

Aiming at the current situation of conveyor self-advancing tail process of the traditional heading face in the coal mine, such as “retreating machine-manually pulling--manually adjusting the deviation-ground anchoring”, in order to realize efficient and rapid excavation, a new type of conveyor self-advancing tail used in mining face suitable for crushing roof was developed. The design of the endless force, the stepping distance, the conveying capacity, the adapting belt speed and the idler type of the designed conveyor self-advancing tail were carried out. Based on the virtual prototype technology the intermediate frame of the tail and the dynamic frame were established and the model’s structural strength were checked. The correctness of the design of the whole machine was verified by the actual application of the tail in the coal mine. The successful development of conveyor self-advancing tail without repeated struts effectively solves the problem that the tail of the coal mining face can not be self-moving or needs to be support self-moving, which greatly improves the efficiency of the tail movement of the driving face. At the same time, it also provides the possibility to upgrade the automation of the face.
Fashion Color Verification System Based on Similarity Search Algorithm
Authors: Xu Chengrui , Tian Yujing , Zheng Zeyu , Li Ge , Shang Wenxiang
Published: September 2020

As the times progresses and the technology rapidly develops, it has become a trend to make use of artificial intelligence to accurately predict the trend of fashion color. In facing up with the demand of enterprises and design developers’ verification on the accuracy of color decision-making, a set of fashion color verification system based on similarity search algorithm is proposed on basis of the technical feasibility of ‘searching image by color’ and the prediction method of the fashion color in this paper. Through the reasonable construction of database and analysis framework, the known color is introduced into the system. Not only can the masonry layout of color image under the selected labels be gained, but also the visual report on the analysis of the color trend can be gained, in which the verification and correction of the color can be achieved. By comparing this set of system with the analysis process of the traditional artificial color trend, it’s concluded that the system can effectively improve the accuracy of predication and the efficiency of the verification.
New Approaches and Tools for Ship Detection in Optical Satellite Imagery
Authors: Walter Avila Cordova Aaron , Condori Quispe William , Jorge Cuba Inca Remy , Nina Choquehuayta Wilder , Castro Gutierrez Eveling
Published: September 2020

Ship detection using optical satellite images is a very important task for the field of maritime security, either in search of lost ships or in maritime control of a commercial or military type. Added to this are the advances in the field of Computer Vision, especially in the use of models based on Artificial Intelligence, which allow the construction of robust and more precise detection systems. However, geographic scenarios, typical of a satellite image, limit the development of this type of system since they require the availability of a large number of images in different scenarios. In this paper, a new approach to Ship Detection is proposed using two new data sets labeled with horizontal bounding boxes (HBB). Likewise, a new labeling tool (DATATOOL) is presented that allows better organization and distribution of data. The new data sets, Peruvian Ship Dataset (PSDS) and Mini Ship Dataset (MSDS), have been generated from optical satellite images obtained from different sources. PSDS is created from 22 satellite images of PERUSAT-1 with 0.7m spatial resolution, giving a total of 1310 images. MSDS has been generated using Google Earth satellite images, generating 2993 images of 900x900 pixels. Ships are found both at sea or inshore. Finally, results of the tests using Deep Learning Algorithms such as YOLT and YOLOv4 are presented, following the approach and the proposed tools. Resource and source code available at https://gitlab.com/williamccondori/datatool
CRWMS: Bipartite Network Embedding based on Constrained Random Walk and Mixed-Skipgram
Authors: Ye Yaling , Ma Lina , Zhang Xia , Ni Qixuan , Wang Yuyao , Bu Zhan
Published: September 2020

A bipartite network is a basic representation model in recommendation systems, in which the explicit links (e.g., representing user-item rating information) only exist between heterogeneous nodes (e.g., users and items). Most traditional bipartite network embedding methods only consider the explicit network structure, but ignore semantic relations and rating information therein. To solve this deficiency, we designed a new bipartite network embedding approach based on the Constrained Random Walk and Mixed-Skipgram (CRWMS). Specifically, we propose a constrained random walk strategy that produces the mixed local sampling sequences, and further adopt the splitting operation to preserve both explicit and implicit structural information. Furthermore, we propose a novel and effective mixed-skipgram model to discern node representation vectors through joint training of explicit and implicit structural sequences. We compare CRWMS with five state-of-the-art network embedding methods on three real-world bipartite networks. Experiments show that our approach improves performance in edge classification, edge clustering, recommendation and link reconstruction tasks.
Bayesian Network Model Test Configuration Method based on Genetic and Binary Discrete Particle Swarm Combination Algorithm
Authors: Han Lu , Shi Xianjun , Wang Taoyu
Published: September 2020

Test configuration is an important part in the process of testability design. Most of the existing test configuration methods are based on multi-signal flow diagram model and adopt genetic algorithm or particle swarm optimization (pso). However, there are many problems in this solution. First of all, the multi-signal flow diagram model has poor ability to express uncertain information, low model accuracy, large deviation in the calculation of testability indicators, and the model does not have the ability to learn and update. Secondly, the efficiency of genetic algorithm is low and the computation time is long, while the binary discrete particle swarm optimization algorithm is easy to fall into the local optimal. To solve the above two problems, a test configuration method based on the hybrid algorithm of genetic -binary discrete particle swarm optimization is proposed. This method can combine the global search ability of genetic algorithm with the optimal speed of binary particle swarm optimization, and use the bayesian network model to calculate more accurate testability indexes. It is proved that the algorithm can make full use of the high-precision information provided by the model, and the calculation speed is fast.And it is not easy to fall into the local optimal solution.
Deep Pyramid Convolutional Neural Network Integrated with Self-attention Mechanism and Highway Network for Text Classification
Authors: Li Xuewei , Ning Hongyun
Published: September 2020

Text classification is one of the basic tasks of natural language processing. In recent years, deep learning has been widely used in text classification tasks. The representative one is the convolutional neural network. DPCNN is a deep convolutional neural network text classification model that can obtain long-distance text information, but it focuses on the extraction of global features and ignores the extraction of local features of the text. Some local feature information is very important and plays an important role in text classification tasks. Therefore, in this paper, a self-attention mechanism is introduced to extract local features of text based on the lack of extracting local features of DPCNN. In addition, although the deep convolutional neural network can extract deeper features, it is easy to cause the problem of gradient disappearance during training. Therefore, the highway network is introduced to prevent the problem of gradient disappearance caused by network training and improve the performance of the model. Experimental results show that the proposed model is better than a single DPCNN model, which further improves the accuracy of text classification tasks.
Trainable Kalman Filter Based on Recurrent Neural Network and its Application in Aviation Surveillance
Authors: Jiang Yanjun , Nong Xiangyu
Published: September 2020

The most commonly used algorithm for aviation surveillance is Kalman filter. The accuracy of Kalman filter is affected by the accuracy of its parameters. When the parameters may change with environment change, the accuracy of traditional linear Kalman filter will be affected, in severe cases, filtering divergence will occur. This paper proposes an aviation surveillance filtering model that treats Kalman filter as the kernel of Recurrent Neural Network, uses Back Propagation Neural Network to predict parameters of Kalman filter. Which let Kalman filter be trainable and have ability to estimate parameters dynamically. Moreover, actual radar measurement data is used for radar filtering experiment, and the experiment results show the feasibility of this model, and show that this model has better accuracy and adaptability than traditional Kalman filter.
Research on the Technology of Searching for Fashion Trend Image Based on ResNet50 Model
Authors: Tian Yujing , Zheng ZeYu , Li Ge , Xu Chengrui , Shang WenXiang , Liu Xiaogang
Published: September 2020

With the further development of technology, providing technical support for the forecast and development of fashion design trends through artificial intelligence has gradually become a reality. In order to enable users to obtain more accurate design trend materials in a shorter time, this paper presents a ‘searching by image’ model of clothing trends based on the ResNet50 model. Through the targeted collection of data and the rational construction of algorithms, the system can retrieve and output more image materials with relevant design features for the existing image materials for the development of design trends as well as the development and design of styles. By comparing the system with Google’s and Taobao’s ‘searching by image’ system, it is concluded that this system has high efficiency, high accuracy and high correlation.
License Plate Location and Recognition on Neural Network
Authors: He Zhilong , Xiao Zhongjun , Yan Zhiguo
Published: September 2020

This paper takes autonomous driving technology as the research background, and aims to improve the efficiency of the traffic system in real life, and proposes a neural network recognition method for license plates. The method realizes accurate location and recognition of LP (license plate) by constructing two neural recognition networks. For the LP location, a 11-layer convolution recognition network (CNN) is constructed. The basic step is to roughly locate the LP after preprocessing the image, and use the neural network to accurately locate the LP. For LP recognition, the 10-layer convolutional neural network constructed by inputting the segmented LP is used to realize character recognition, and the output result is obtained. The method is efficient and accurate, and can be applied to handheld devices in transportation systems.
News-based Machine Learning and Deep Learning Methods for Stock Prediction
Authors: Guo Junjie , Tuckfield Bradford
Published: September 2020

Stocks occupy a vital position in the financial market. Over the years, scholars have made unremitting efforts in forecasting the stock market. Because the more accurate the prediction, the more people will profit from the stock market. Machine learning has achieved excellent results in stock prediction. Nowadays, with the rise of deep learning, the stock prediction methods used by people are beginning to lean towards deep learning, and many results have been achieved. This paper will use news rather than traditional stock structured data for stock prediction, and we will use machine learning and deep learning methods in contrast. Moreover, we use natural language processing to process the news. The objects of prediction are stock indexes (DJIA, S & P500) and individual stocks (IBM, JPM). We find that deep learning performs at least 4.5% better than machine learning on prediction tasks related to stock indexes, and at least 3% better in the prediction of individual stocks. We discuss the implications of this result.
Head Posture Recognition Method Based on POSIT Algorithm
Authors: Wenzhu Sun , Jianping Cao , Zhongyun Sun , Guotao Zhu , Shisheng Yu
Published: September 2020

Helmet Mounted Sight (HMS) is an optical aiming and display device installed on the fighter, which plays an important role in modern air combat, but it cost a lot to install a real HMS on ground fighter simulator, so it is a wise choice to design a low-cost simulation HMS instead. In this process, the head posture recognition method is the key point in simulation HMS design. In this paper, a head posture recognition method is proposed for Flight Training Simulation. Firstly, the development process and working principle of Helmet Mounted Sight (HMS) are deeply studied, then the principle of POSIT algorithm is introduced, after that the head posture recognition method based on POSIT is proposed. Finally, the hardware design and software workflow of head posture recognition system are given.
Semantic Query Expansion based on Entity Association in Medical Question Answering
Authors: Cui Xue , Zhai Pengjun , Fang Yu
Published: September 2020

Query expansion technology is a common method to solve the semantic deviation problem between questions and answers in the question answering system. In medical question answering field, the current semantic-based query expansion method has the following two shortcomings. (1) In the stage of obtaining candidate extended terms, only the medical entity’s concept in the query is used, but the medical entity’s association between questions and answers is ignored (2) During the extended terms filtering stage, the interference of negative medical entities to the mutual information is ignored. Given the above-mentioned deficiencies, this paper proposes a semantic query expansion method based on entity association in medical question answering. This method first combines the query intent with the inference association between medical entities to obtain candidate extended terms from the medical knowledge graph. Then filter candidate extended terms using the selection method based on negative medical entity recognition and mutual information and thus get the final extended terms according to the co-occurrence association between medical entities. Experimental results show that our proposed method outperforms the query expansion method based on the thesaurus which commonly used in the current medical question and answering system.
A Study on the Change of Farm Using Artificial Intelligence Focused on Smart Farm in Korea
Authors: Hyunjin Chun
Published: September 2020

With the recent climate change, the agricultural environment is rapidly changing. Also, most of the labor population in rural areas moves into cities, which causes a serious labor shortage in rural areas. To solve this problem, governments around the world try to use cutting-edge technologies such as smart farms in agriculture. In Korea, for example, where labor problems are serious, huge research funds are invested in smart farms. And, in this study, I analyzed the technology status of smart farms in Korea. In addition, this research analyzed the operational status of smart farms and predicted future changes in agriculture. The results of the study are as follows. Agriculture has been considered the primary industry of each nation until now, but in the future it will be transformed into a high-value industry combined with artificial intelligence. Also, in agriculture, artificial intelligence will not only be used in crop production, but also in packaging and transporting agricultural products based on big data and clouding technology. As a result, there will also be many changes in the distribution structure of agricultural products. As such, the latest technologies such as artificial intelligence will not only improve the productivity of crops, but also enhance the efficiency of the overall agricultural industry. This results can be used as theoretical basic data when making smart farms using artificial intelligence.
A Study on the Development of Robot Education in the Fourth Industrial Revolution
Authors: Hyunjin Chun , Tongjin Kim
Published: September 2020

With the development of the Fourth Industrial Revolution, traditional education is evolving into a new education adapted for future society. In particular, with the emergence of artificial intelligence, education targeted at enhancing creativity gets increasingly important. In the future, robots will be used in almost all areas of social life. For this reason, many creative education programs that use robots will surely be developed. In this study, the development trend of robots education programs for children was centrally analyzed. Based on these results, the study further analyzed the current status of robot education. It also suggested the actual practical curriculum of robot education. The results of this study can not only suggest an educational direction for robot education, but also provide with theoretical basis to some extent for future education related to robots.
Experimental Study on Zhaoyuan Gold Tailings-Based Aerated Concrete
Authors: Li Qian , Li Keqing , Ni Wen , Zhang Siqi , Li Dezhong , Chen Wei
Published: September 2020

This paper discusses the preparation of aerated concrete using the massive gold tailings stockpiled in Zhaoyuan as the main raw material with a mixture of cement, lime, gypsum, and Al powder. Contents of gold tailings, gypsum, lime, Al powder, and water-material ratio are used as impact factors for orthogonal array test to determine the most optimized formulation. The formula optimized through orthogonal experiments is: gold tailings, 58%; lime, 26%; cement, 11%; gypsum, 5%; Al powder 0.048%; water-material ratio, 0.59. Based on this formula, the specimens have the highest strength and specific strength, being 6.15 MPa and 9.96 MPam3• kg−1, respectively. Dry apparent density is 617.5 kg/m3, which is in compliance with the requirements of the national standard on dry apparent density to be smaller than or equal to 625 kg/m3.
Formula Study on High Temperature Corrosion Inhibitor for CO2/O2 in Oil Recovery during Fire Flood
Authors: Yan Xuanqi , Jiang Weiqi , Wang Yingrui , Zhang Lili , Su Na , Shang Fang , Du Qingzhen , Yao Shangsheng , Chen Xi , Liu Zhigang
Published: September 2020

The purpose of this paper is to develop a kind of high temperature corrosion inhibitor and to resolve the problem of CO2/O2 corrosion in high temperature oil well. The experimental methods include CO2/O2 corrosion simulation experiment, screening experiment, formula compounding and orthogonal experiment which are used to test the corrosion inhibition rate at different temperature and concentration. HZ-9 high temperature corrosion inhibitor for CO2/O2 is developed in high temperature oil well during fire flood. The main component of HZ-9 is imidazoline quaternary ammonium salt, sodium isoascorbate assisting with high temperature resistant fluorocarbon imidazoline which has good corrosion inhibition effect with the corrosion inhibition rate is above 80%. The conclusion is HZ-9 can resolve CO2/O2 corrosion in high temperature oil well during fire flood.
Stress analysis of anchor chain on the floating breakwater structure with cage culture function
Authors: WangNa  , xing Li , gang Wang , guoqiang Chen , Yifeng Ji , nianfei Liu
Published: September 2020

The physical model test of floating breakwater and cage structure is carried out. Under the action of irregular waves, the structure is obtained. Different depth of immersion, Cage depth and wave period work on its Stress analysis of anchor chain. The results show that, when the period is short, the stress on the anchor chain increases exponentially with the increase of wave height. However, under the condition of long period, the variation of anchor chain force with net depth is not obvious, so it is not recommended to hang net cage for breeding.
Finite Element Analysis of the Hollow Spherical Shells plus Bolts Joints Used for Grid Structures under Uniaxial Compression
Authors: Du Bin , Yan Yajie , Yan Bo
Published: September 2020

Spatial grid structures are the preferred choice in long-span civil and industrial buildings. As the intersections of multiple bars, only when they possess the characteristics of high load-carrying capacity, lightweight and convenient alignment, can the development needs of modern architecture be satisfied. Concentrating on single- and double-layer grid structures, this paper presents a novel joint—the hollow spherical shell plus bolt joint, whose finite element model is established to analyze its failure mechanism under uniaxial compression. It is concluded that the failure such joint undergoes under uniaxial compression is an annular elasto-plastic buckling failure of plastic hinges along the thickness of spherical shells.
Trend and Cause Analysis of Seawater Quality in Jinzhou Bay
Authors: Zhao Da-Di , Tan Zhe-Ya
Published: September 2020

According to the water quality monitoring data of Jinzhou Bay in July 2018, September 2018 and September 2019, the change trend of seawater quality in Jinzhou Bay is analysed. The results showed that the degree of eutrophication increased with time. The excessive emission of active phosphate is the main reason for this phenomenon. In recent years, large-scale dredging and land reclamation have been carried out in Jinzhou Bay, which has effectively removed the polluted sediment and effectively controlled and improved the heavy metal pollution in Jinzhou Bay. Therefore, it is necessary to strictly control the discharge of polluted oil into the sea.
Experimental Study on River Sand Replacement in Concrete
Authors: Song Hongling , Gu Guangjuan , Cheng Yuan
Published: September 2020

With the basic continuous improvement of China’s infrastructure, the demand for concrete is increasing day by day. Sand is an important component of concrete, its characteristics have an important influence on various properties of concrete. In recent years, with the policy guidance of energy conservation and environmental protection, there is a serious shortage of river sand resources all over the country. So, it is urgent to replace river sand with energy saving materials, machine-made sand and superfine Yangtze River sand. Based on the determination of two kinds of sand, an experimental research scheme is proposed to compare the workability and strength of C30 concrete under different proportions. It needs to find out the best proportion relationship to replace river sand. It provides a feasible research scheme to solve the problem of river sand shortage.
Prediction Method of Monitoring Data Based on Data Correlation in Civil Engineering
Authors: Qiao Shengfang , Zhu Yi , Tang Mengxiong , Hu Hesong , Chen Hang , Hu Han
Published: September 2020

Wireless intelligent health monitoring has been widely used in civil engineering. However, ill-conditioned data could be generated due to the vulnerability to external interference sometimes. The ill-conditioned data have great influence on damage identification and condition assessment. Hence, the prediction method of monitoring data based on data correlation was presented in this paper. The correlation degree between multi-channels data was established by BP neural network. Then the ill-conditioned data was predicted and corrected by the correlation degree between the data, and verified by the measured data. The results indicated that high accuracy and engineering requirement could be achieved using BP neural network prediction method considering the correlation degree between multi-channels data.
Design contents and methods of bridge blasting demolition scheme
Authors: Mao Dejun , Yu Wenzheng , Chen Xu , Chunhua Wang
Published: September 2020

When the service life of bridge structure ends, it must be removed. Blasting demolition method is a common method in bridge demolition engineering, and a reasonable blasting plan is essential to safely achieve the goal of bridge blasting demolition. By summarizing and analyzing related research results and engineering practice experience, the design content and method of bridge blasting demolition scheme were studied. The design content of bridge blasting demolition scheme mainly includes blasting position design, network design, parameter design and safety protection design. In practical operation, some design work can be carried out by referring to simple theory, while some design work needs to be carried out by referring to relevant engineering experience.
Development and application of rebar information table module based on Revit platform
Authors: Zuo Weilong , Huan Guosheng , Zhu Jingde , Chen Leilei , Hong Xianghua
Published: September 2020

The era of three-dimensional collaborative design and digital design is coming, which boosts the confidence and expectations of the design industry. Autodesk Revit is a three-dimensional design software developed by Autodesk Company. At present, Autodesk Revit has a very perfect parametric design function in the field of industrial and civil architecture, but it still needs to be studied in the parametric design of other industries. Taking parametric modeling process of buttress retaining wall commonly used in water-related projects as an example, this paper studies the method and application of establishing parametric family model on Revit platform, and provides reference for building component parametric family model in basic design industry, in order to help the progress of three-dimensional collaborative design and engineering practice.
The Analytical Investigation of Residential Areas Thermal Environment Under the Process of Urbanization
Authors: Wu Shanglin , Liao Erdong
Published: September 2020

The rapid development of the modern city has posed many challenges for the outdoor thermal environment, and maintaining the comfort and safety of the city is a staple for achieving sustainable development. In this article, the relevant data of 7 residential areas in the city of Foshan were collected, and the outdoor thermal environment was simulated. The simulation results show that the average wind speed ratio of the 7 residential areas is small in difference, but the outdoor average daily heat island intensity (8:00-18:00) has a huge discrepancy, and the average outdoor heat island intensity of some residential areas can reach above 2°C per day. The analysis finds that the layout of the buildings’ group affects the site’s shadow rate, thus ulteriorly affecting the thermal environment of the residential areas during the summer. Therefore, increasing Guangdong’s shadow rate during the summer is necessary to reduce the direct radiant heat of the ground, further improving the outdoor thermal environment.
The Research of Green Reuse on Old Industrial Building A Case Study of Changchun FAW
Authors: Guo Weihong , Li Bin , Zhang Yuqing , Schnabel Marc Aurel
Published: September 2020

With the development of a large number of old industrial buildings, such as the relocation, transformation, demolition and other issues, how to reuse the building resources has become an urgent problem need to solve. This paper about architectural resources reuse, based on old industrial buildings in Changchun FAW, proposed using green technology to revive the vitality of old industrial buildings, at the same time, starting from the point of view of green energy-saving, proposed design principles, and recommendations about old industrial buildings green resources reuse in Changchun FAW.
“Design-Led Space” Series Show Flat Design - Taking Dongjin Century City in Xiangyang as An Example
Authors: Huang Wenjuan , Liu Yang
Published: September 2020

With the acceleration of our country’s urbanization process and the rapid development of the social economy, the urban living thought, the sense of high quality in everyday life and the upgrade of the entire social environment have contributed to the rapid rise of the real estate market, and different types of residential communities and commercial housing continue to emerge. As show flat design is the most important marketing method and marketing hot spot in the real estate market, a show flat design case with great design sense and artistry can often attract consumers’ attention at the first time, effectively transfer spatial information of the real estate, show the functional advantages of the house, and give future residents a sense of identity and confidence in the project. This article took three types of show flats in different design styles in the Dongjin Century City project in Xiangyang as an example to deeply analyze the spatial function analysis, color, soft decoration, light source and other factors that should be paid attention to during the design of the show flat, summarized the design-led and people-oriented principles, and created a show flat design in line with practical and functional factors of residence, to achieve the ultimate artistry, exhibition and marketing of show flats.
Analysis of Seismic Performance of Damaged Wooden Structure Column Foot
Authors: Zhou Xin , Li Tieying , Wang Yifan , Wang Jianliang
Published: September 2020

In order to study the dynamic response of the damaged timber frame column foot, a four-grade single-span timber frame model with damaged column foot was established to study the frequency change of the timber frame, and the acceleration trend of column top and foot under different frequencies and different peak harmonics were analyzed. The results show that the frequency range of the damaged wooden frame of the column foot is 0.8HZ-2.5HZ. With the increase of the input peak value, the shock absorption effect of the wooden frame under 100gal is obviously better than 50gal. As the elastic modulus of the damaged column foot increases, the shock absorption effect of the wooden frame gradually weakens.
The applications of parametric design in green building
Authors: Zhang Muen
Published: September 2020

High energy-efficiency has become an essential goal in many industrial branches. This paper introduces three approaches in which parametric design plays a connecting role between technical demands and building aesthetics. The first two methods focus on the scheme phase in architectural design. The findings indicate that the parametric approaches improve the efficiency and support decision-making in early-stage design. The third application is bio-inspired, which is based on the interaction between building systems and environmental influences. The study may serve as a brief review of technical achievement in the field of green building in the context of Parametricism.
Study on Cooling Saving Effect and Mechanism of Increasing Set Point
Authors: Wang Min , Long Enshen , Chen Linlin , Mao Ning
Published: September 2020

Increasing the setting temperature of the cooling system is one of the widely-known building cooling saving methods, but there have been few systematic studies on the differences in cooling saving effect of this method in a particular building, when considering different functions under the same climate conditions. This paper compares the yearly absolute cooling saving amount and relative cooling saving ratio of the same building with different functions in Chengdu when the setting temperature is increased from 26°C to 27°C. Moreover, it reveals the mechanism of the variation of cooling saving effects from the monthly and hourly dimensions.
Investigation of drying shrinkage of alkali-activated cement paste
Authors: Kong Yukun
Published: September 2020

This project studied the drying shrinkage of alkali-activated cement paste exposed to 75%RH environment, considering the effects of types (i.e. NaOH, Na2SO4, and CaSO4) and dosages (i.e. 1M, 2M, and 5M) of alkali activators. In this work, the length and weight changes of ‘mini-bar’ samples were measured to evaluate the degree of drying shrinkage for each group. Through comparing the results of the pastes mixed with different alkali salts, it has been found that drying shrinkage was usually exaggerated due to the addition of alkali salts. However, when mixed with 5M NaOH, OPC paste showed fewer shrinkage strains (even volume expansion) and weight increase, which was caused by water absorption from the ambient environment.
Vulnerability analysis of aqueduct structure based on boundary method
Authors: Cheng Gege , Zhang Yina , Huang Jinlin , Liu Jiabing , Zhang Jianwei , Zhang shuai
Published: September 2020

The damage forms of aqueduct under earthquake are mainly reflected in column of bent and rubber bearing. Taking a typical aqueduct as an example, the uncertainty of structural materials of aqueduct is considered by Latin hypercube sampling method; the uncertainty of ground motion is considered by stratified sampling method; the aqueduct sample and seismic wave are randomly combined to carry out time history analysis to obtain structural response; the limit damage states of column of bent and rubber bearing are defined respectively; the vulnerability curves of components are established by classical vulnerability analysis method. The system vulnerability curve of aqueduct structure is obtained by boundary method. The results show that the rubber bearing of aqueduct is more vulnerable to damage than bent frame. The failure probability interval obtained by the second-order limit method is smaller than that obtained by the first-order limit method, and the second-order limit method is more reasonable to evaluate the seismic performance of aqueduct structure.
Urban bridgescape Space Construction Strategy
Authors: Yingjuan YE
Published: September 2020

The strategy of urban bridgescape space construction, starting from two levels, the first layer is to divide urban bridgelscape space construction into three strategies: aesthetic strategy, environmental strategy and economic strategy; the second layer is to sum up and extract six strategies from aesthetic, environmental and economic strategies that have universal guiding significance for urban bridgescape space construction.
Overview of I International Conference on Advances in Material Science and Technology - CAMSTech-2020
Authors: Kovalev I V , Testoyedov N A , Voroshilova A A
Published: September 2020

The overview describes the main directions and results of the I International Conference “CAMSTech-2020” held in Krasnoyarsk in July 31, 2020. It gives the details about the participants and the proceedings.
The identification of internal defects in integrated circuits with the use of acoustic microscopy
Authors: Bolebruh O N , Arslanov V A , Ekimova T A , Belyaev M A
Published: September 2020

The paper presents a methodology for identifying internal defects in integrated circuits and determining their type using scanning acoustic microscopy. Examples of images of the most common defects in various projections are given. The presence of defect was confirmed by optical inspection of samples’ cross-section. The presented data will be useful to specialists in ultrasonic testing to identify inconsistencies in the process of packaging integrated circuits.
Comparison of parameters of heteroepitaxial structures
Authors: Tashatov A K , Beytullayeva R X , Ungbayevich T T , Pardayevich U A , Yunus O
Published: September 2020

In this work, the structure and properties of heteroepitaxial and multilayer thin film systems obtained by thermal diffusion, MBE, and ion implantation have been comprehensively studied created.
CdAs2 – MnAs system investigation
Authors: Ril A , Marenkin S
Published: September 2020

CdAs2 semiconductor and the MnAs ferromagnet interreacting was analyzed with MnAs X = 0- 60 mol%. The phase diagram and eutectic curve were created (coordinates - 6 mol% MnAs and Tm
eut. = 614 °C). System CdAs2 - MnAs is ferromagnetic with TCurie = 353K. A negative magnetoresistance effect was detected with ΔR / R = 2-3 % in a saturation magnetic field - 0.7 T. The negative magnetoresistance effect detection shows the perspective of the CdAs2 with MnAs alloys as spintronics materials.