bluuebunny/crossref_metadata_2025_split huggingface dataset:
Damage Identification of Simply-Supported Beam Bridge Based on Deflection Influence Line
Authors: Yunkai Zhang , Jianjun Guo , Guohua Li , Yuchen Fan 
Published: February 2021

Abstract
In order to extend the service life of the bridge and reduce the occurrence of catastrophic accidents, it is necessary to monitor and identify the damaged parts of the bridge in time. In this paper, the author firstly proposes a basic theory of deflection influence line, then analyzes the calculation basis and proposes a method of deflection influence line of simple supported structure. Finally, according to displacement-time curve of simply-supported beam structure under different load-moving speed can be obtained by using MIDAS, the mid span, damage degree and load-moving speed of structure model can be set to carry out the simulation calculation. The results show that: when the load moving speed is 10km/h, 30km/h, 60km/h and 100km/h, the influence line of deflection difference has no obvious change pattern, and there are different peak values, which cannot be used for damage identification. Under the static load condition, the influence lines of deflection difference at 1/2L position, 3/4L position and end part at 10% and 25% damage degree basically show linear change, while the deflection difference value at 1/2L position appears peak value, and the maximum deflection difference value at different damage positions shows nonlinear change. It indicates that the damage degree can be judged according to the deflection differences at the damage positions identified above.
Compaction Quality Fine Control of Fresh Concrete Based on Vibration Energy
Authors: Ce Bian , Ningbo Li , Zhenghong Tian , Feng Zhu , Xingshun Lei 
Published: February 2021

Abstract
To solve the problem of difficulty in controlling the construction quality of fresh concrete due to the low applicability and accuracy for the existed referencing vibration time when using internal vibrator, an innovative parameter of vibration energy density is created based on concept of energy and a hardened porosity prediction model is constructed considering the parameter and mix characteristics. The model is used to obtain the minimum porosity value of concrete and corresponding energy density threshold under certain ratio conditions. Finally, the accuracy and effectiveness of method are verified by field tests. The results show the method can realize precise quantitative quality control of concrete vibration and guide the construction work.
Analysis of point cloud data of tunnel cross-section using cubic B-spline curve
Authors: Li Zhiyuan , Wang Jian , Zhu Fengqi , Li Digui , Gu Wanqi 
Published: February 2021

Abstract
In order to overcome the problem of extraction and deformation information analysis of tunnel cross-section by 3D laser scanning technology in tunnel engineering application, a method of extraction and fitting of tunnel cross-section based on cubic B-spline curve was proposed. First, obtain the initial cross-sectional point cloud by using the cross-sectional intercept method based on the spatial point cloud subset;Then, the cross-section was fitted with a cubic B-spline curve, and the missing part of the point cloud was repaired automatically.In the end, specific points are extracted from the fitted cross-section point cloud to realize cross-section deformation analysis.And cross-section analysis of point cloud data of a section of subway tunnel shows that this method can quickly and accurately analyze the deformation information of the tunnel cross-section.
Study on mechanical properties of 3D printed rock mass samples with photosensitive resin material
Authors: Gao Yanhua , Bi Xiaochen , Liu Yang , Fang Zizhou , Liu Shenqiang 
Published: February 2021

Abstract
3D printing technology can provide an effective method for specimen preparation of rock mass, but the mechanical properties of 3D printed rock mass still need to be further studied. In this paper, uniaxial compression tests are carried out on the intact and jointed rock mass models which are printed by laser rapid prototyping printer with photosensitive resin materials, stress-strain curve and fracture propagation are obtained, and the mechanical properties of 3D printed rock mass are studied. The results show that the intact model of the photosensitive resin material has greater plasticity and stress hardening after the peak strength, while the jointed models have obvious brittle mechanical characteristics, but in general, plastic deformation occurs before brittle failure; that the joint dip angle has an important influence on the physical parameters such as the peak strength of the model, strain at brittle fracture, elastic modulus, and the crack propagation; and that photosensitive resin material can simulate rock fracture, but it is not as good as natural rock or rock-like material. The research results can be used for reference in the study of mechanical properties of photosensitive resin and its application in 3D printing for rock mass.
Discussion on the optimum configuration of section steel for the middle seismic tensile stress of the shear wall of an over-limit high-rise civil building
Authors: Wang Shuaiyu , Lei Honggang 
Published: February 2021

Abstract
A super high-rise civil building was originally designed with a relatively large area of shear wall section steel configuration, coupled with the configuration of steel bars, resulting in the construction of the project more difficult. To solve this problem, PKPM was used to build the model to extract and calculate the tensile stress of inflexible wall limbs under moderate earthquakes, and the configuration of the section steel in the original design was analyzed. An in-depth interpretation of the “Technical Points for Special Examination of Seismic Fortification of High-rise Buildings Exceeding Limits” (Jianzhi [2015] No. 67), Chapter 4, Article 12, Paragraph 4, on the provision of shear wall section steel configuration was conducted. Finally, based on the original design, an optimization criterion for the configuration of the section steel in the wall was proposed.
Hydrological changes along the Jing River and its causal analysis
Authors: Bing Jianping , Deng Pengxin 
Published: February 2021

Abstract
The hydrological response of rivers to upstream reservoir regulation is one of the increasingly important research issues of watershed management. In this study, a hydrodynamic coupling model was used to simulate water level and flow processes of the Jing river and diversion flow of three outlets before and after the operation of TGP (Three Gorges Projects). The results indicated that water level and flow of three diversion channels both decreased in flood and dry seasons: the compensation regulation of the TGP was significant to maintain the water level and flow of three diversion outlets in the Jing river, but it also increased zero-flow days in the diversion channels of the Yangtze River. The riverbed erosion of channels in the upper reaches as well as lower reaches caused hydraulic gradient varying so much that it can’t be ignored in the water exchange process between the Yangtze and Jing river. This mechanism cooperates with the operation of TGP to change the natural process of the Yangtze-Jing river’s hydrologic process. This work provides essential information for future water resources and environmental management of the river-lake system and facilitates the effective flow regulation of dams, which has significant implications not only for the Dongting river-lake system but also the similar lakes and rivers elsewhere.
Application of new pumping technology in dewatering in deep soft soil pit
Authors: Mao Xiyun 
Published: February 2021

Abstract
The soft soil stratum has low carrying capacity, poor permeability and is hard to be drained, which affects the excavation speed of foundation pit. This paper introduces the application of a new type of dewatering technology in deep soft soil foundation pit dewatering. This technology adopts air compressor and vacuum pump to improve the water collection efficiency and pumping efficiency effectively and gains good economic and environmental benefits.
Design of Lining Structure of Horizontal Swirl Spillway Tunnel
Authors: Zhou Heng , Xing Ruijiao , Di Shengjie , Huang Peng 
Published: February 2021

Abstract
In this paper, two methods of finite element and structural mechanics are used to study the design of the lining structure of the spillway tunnel, so that the design of each part of the spillway tunnel is economical, reasonable and safe. The finite element method is used to analyze the influence of the surrounding rock consolidation grouting, drainage holes, system bolts and the new and old concrete combination on the bearing capacity of the building. The results show that it is very necessary for the lining structure to be consolidated and grouted, to install system anchor rods and drainage holes. Inserting reinforcement for the old concrete lining is beneficial to improve the stability of the lining structure. Structural mechanics reinforcement can meet the safety and stability requirements of the lining structure.
Selection of jacking sequence and jacking parameter analysis of multi-row jacking pipes in water-rich sand
Authors: Deng Wenjie , Cao Guangyong , Lin Jian , Yang Junfeng , Yu Shixiang , Yang Zubing 
Published: February 2021

Abstract
For the purpose of safe and efficient construction of multi-row pipe jacking in water-rich sand layer, a case study was carried out, taking the three-row pipe jacking project of the water-rich sand layer in Haikou city as an example. Firstly, based on the analysis of the disturbance mechanism of surrounding rock in multi-row pipe jacking construction, the principle that multi-row pipe jacking construction should give priority to excavate two pipe jacking tunnels which are far apart in turn was established. Secondly, taking the maximum ground settlement at the center of pipe jacking as the judgment index, the optimal scheme of the construction sequence of multi-row pipe jacking was determined. Finally, based on the field measured data, the relationship between the jacking force, the pressure of the palm surface, the average frictional resistance and the jacking process during the jacking process was analyzed, and summarized the experience of the site construction. The results show that: (1)it is better to give priority to construct two pipe jacking tunnels which are far apart in the construction order multi-row pipe jacking; (2)Based on the empirical method of surface subsidence, the maximum surface subsidence at the center of pipe jacking group can be used as the judgment index to determine the optimal jacking sequence; (3)Under the condition of "from the two sides to the middle", the surrounding rock around the middle jacking pipe is greatly disturbed by the construction of the first jacking pipe, its jacking rate should be reduced on the basis of the first building jacking pipe, and the cutting rate of the cutter and the grouting pressure should be increased, so as to realize the continuous jacking construction. The results of this paper are of great reference value to the determination of the jacking parameters of multi-row pipes in the future.
Mechanism and Preventive Measures of External Fire Spread in Southwest Chinese Traditional Villages
Authors: Liu Yongjun , Liu Wenli , Tong Yu , Meng Tianchang , Su Yue 
Published: February 2021

Abstract
Rural building fires, especially catastrophic ones that destroy a large number of houses even total village in southern regions of China, are becoming a growing concern from common people to local governments. There is a few literature on research progress of large scale rural building fires in China. In this paper, several typical massively rural building fire cases are described firstly. Mechanism of external fire spread among rural wooden buildings is qualitatively analyzed secondly. Some important preventive measures, such as sandwich panels with inner galvanized sheet, are suggested thirdly. The authors hope this paper may provide valuable information and enlightenment for people who hope to learn about the current situation, research progresses and preventive measures of external fire spread in southwest Chinese traditional villages.
Evaluation of the effects of protective measures implemented in high-rockfill slope engineering based on the discrete element model
Authors: Li Zuozhou , Xue Fangfang , Liu Yang , Zheng Chengcheng , Cheng Lin , Ma Chunhui 
Published: February 2021

Abstract
There has to date been no quantitative analysis of the anti-sliding effects of protective measures implemented in high steep rockfill slope engineering under conditions of instability, despite the importance of this analysis for engineering design, improvement to engineering measures, and promotion of hazard warning and management. This study established a discrete element model (DEM) of a high steep rockfill slope based on an engineering project. Numerical simulation was used to investigate the anti-sliding effect of concrete retaining wall height on the high rockfill slope under conditions of instability, with a focus on the distributions of rock before and after slope instability, rock displacement, the quantity of rock crossing the concrete retaining wall, and the quantity of rock reaching the riverbed. The trajectory of rolling rock changes in velocity under different concrete retaining wall heights, and the resistance to rolling rock by the retaining wall were analyzed. Movement trajectories and velocity time-history curves of rolling rock suggested that a higher concrete retaining wall could enhance slope stability under long-term operation. Quantitative analyses determined the optimum height of the concrete retaining wall. The method proposed in this study could provide guidance for effective protective measures in high steep rockfill slope engineering.
Research on Road Slope Compound Monitoring System Based on Internet of Things Technology
Authors: Huang He , Liu Maodeng , Mao Youping , Du Mengqin , Zhang XiaoSong 
Published: February 2021

Abstract
Because the stability of the slope is affected by many factors, in order to be able to collect as much information as possible about the stability of the slope, a multi-parameter, multi-device composite system integration based on the Internet of Things technology is proposed. Monitoring systems and slope monitoring projects require low real-time data because most monitoring cycles are long. However, due to the particularity of the monitoring process environment, there are higher requirements for energy saving, scalability, and robustness of wireless transmission networks. RF433MHz technology can meet the problem of wireless transmission in slope monitoring in many aspects such as power consumption, network scalability, network networking capabilities, and operating costs, so it is very suitable for slope monitoring and early warning systems with multiple parameters and multiple measurement points. Through engineering tests, the system works stably and the validity and accuracy of the monitoring data. The researched road slope composite monitoring system based on the Internet of Things technology has certain engineering application value.
Analysis of existing problems and influencing factors of construction industrial engineering quality
Authors: Cheng Wenyi 
Published: February 2021

Abstract
Building industrialization, promote the industrialization of the world architecture development, promoted the pace of urbanization construction, in the aspect of building industrialization in China started late, so under the background of industrialization, in the course of the construction of construction engineering quality management experience a slight lack of current industrial construction project quality management of construction was still in the stage of research and practice, this article mainly through to the building industrialization construction quality has carried on the detailed analysis of existing problems, and combined with the traditional construction project quality management method, analyses the construction quality control factors of industrialization, It will provide some research data for future research on engineering quality control methods.
Research on the Health Detection of Spatial Grid Structures Based on Deep Learning
Authors: Kai SUN , Ping LIU , Ling WANG , Ning XU 
Published: February 2021

Abstract
With the popularization of space grid structure, the health detection of structure is an urgent problem to be solved. According to the distribution law of members and the characteristics of clear force transmission, a grid model with 29 nodes and 76 members is designed. For the model, the response time history curves of nodes are collected when the model is in good condition and some members are damaged, and the curve time history information is taken as the input vector to construct the damage information matrix. The deep learning network is established step by step by using the deep learning algorithm and trained. Through the establishment of a simplified network, the damage location and damage degree of single bar are identified. The results show that the established network can identify the health state of the structure well, and it has reference value for application.
An Application of Image Recognition Technology Based on Deep Learning in Safety Review of Reservoir Dam Metal Structure
Authors: Wang Kai 
Published: February 2021

Abstract
The safety review calculation of the gate is an important job in the safety evaluation of metal structures. In accordance with the requirements of the specification, this paper has developed an intelligent software for metal structures safety review calculation, which can automate the calculation process and generate a review evaluation report. In order to simplify the labor of the manual input of a large number of gate review calculation parameters, this paper used a deep-learning-based image recognition technology to partially realize the collection of the information relevant to the calculation from the drawings of metal structures, laying the foundation for later realization of the fully intelligent gate safety review.
Network distributed information assets detection method based on Artificial Intelligence
Authors: Chen Ze , Liu Weina , Xi Bo , Guo Yuling 
Published: February 2021

Abstract
Proposes a network distributed information assets detection method based on artificial intelligence. Through mining the characteristics of network distributed information assets, scanning information assets in depth, detecting assets, summarizing the characteristics of information assets, and optimizing the depth scanning mode of network information assets, the research goal of rapid and accurate detection of network distributed information assets is realized. The simulation results show that the proposed network distributed information assets detection method based on artificial intelligence has faster detection speed and higher detection accuracy, so as to meet the requirements of large-scale information detection and solve more complex problems.
Technology Research on Panoramic Situation Awareness of Operation State of Smart Distribution Network
Authors: Yang Li , Sheng Liu , Yuqiang Liang , Junwei Liu , Yuheng Cheng 
Published: February 2021

Abstract
With the increasing complexity of power grid structure, operation scheduling becomes more difficult, and the risk of blackout is also increasing. Therefore, it is particularly important to be able to timely and effectively perceive the security situation of smart power grid. The panoramic situation awareness technology of smart distribution network operation state mainly includes situation detection technology, situation perception technology and situation prediction technology. In the stage of situation detection, the collection and storage points of power big data are analysed from two aspects of internal and external factors, and the security situation evaluation system of power grid is constructed. In the phase of situation perception, HDFS, Hadoop, Hive and other technologies are used to obtain the security situation assessment value of smart grid to realize the comprehensive evaluation of the security situation of power grid. In the phase of situation prediction, a deep neural network model is constructed to complete the panoramic situation prediction of smart grid operation state.
Analysis of Demand Factor for High Speed Railway Power Transmission Line from Load Measurement Data
Authors: Xiong Wei , Yang Ruizhang 
Published: February 2021

Abstract
With the rapid construction of high-speed railway in China and other developing countries, as well as the continuous expansion of its distance and scale, the load of power transmission line along the railway is increased accordingly. However, the existing design standards for power transmission line of high speed railway cannot specify the demand factor for the electrical load supplied by power transmission line, and there is no unified calculation method for the demand factor, resulting in a large difference between the theoretical value and the actual value of transformer capacity and cable section selected for engineering project, which takes huge additional energy penalty from the utility companies. To address the problems and formulate a more accurate selection standard for the load demand factor of high-speed railway power transmission line (HSR-PTL), the demand factor is calculated from the data measured on several typical high-speed railway operating in China. Firstly, the load model of HSR-PTL is proposed. According to the function and characteristics of the several kinds of load in HSR-PTL, each load is classified for load demand modelling. By measuring the load of several typical operating HSR-PTL, based on the proposed model, the value of the required coefficient of each load type based on the measured data is proposed. The calculated demand factor can be applied as an applicable reference for the design of high-speed railway power system.
The Key technologies for the construction of resilient distribution networks under the background of smart grids
Authors: Wu Zhenghua , He Weiguo , Shen Haodong , Xu Tangyun , Liu Zhaojie , Su Yun , Chen Jie 
Published: February 2021

Abstract
When the power grid faces sudden extreme events, large-scale blackouts have caused huge economic losses. At the same time, under the development of smart grid, the research of resilient distribution network has received more extensive attention. This article introduces the connotations and concepts of resilient distribution networks in the context of smart grids, and expands the connotations of resilient grids. In addition to the resilience of physical strength under extreme disasters, it also proposes market resilience under the laws of market economy and normal operation mode. This article also introduces several key technologies for improving the resilience of power grids, including intelligent self-sensing power reserve system, adjustable flexible load, source-grid-load-storage coordinated control system, online intelligent diagnosis of power cables, and Operation and maintenance, describes the principles and functions of these technologies in building resilient power grids. The article describes from the perspectives of prevention before disasters and recovery when disasters occur.