Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning最新文献_第2页

Exploration on 3D Geological Modeling Technology Based on BIM Secondary Development—Taking Liangshuijing Tunnel as an Example 基于BIM二次开发的三维地质建模技术探索——以两水井隧道为例

Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning Pub Date : 2022-06-18 DOI: 10.1145/3546632.3546877

Yan jun Wang, Rui Li, Zhu Yang, Zhuoyue Tan, Zhongzhong Xu

{"title":"Exploration on 3D Geological Modeling Technology Based on BIM Secondary Development—Taking Liangshuijing Tunnel as an Example","authors":"Yan jun Wang, Rui Li, Zhu Yang, Zhuoyue Tan, Zhongzhong Xu","doi":"10.1145/3546632.3546877","DOIUrl":"https://doi.org/10.1145/3546632.3546877","url":null,"abstract":"Although the existing 3D geological software has great advantages in spatial geographical analysis, it still has some weaknesses such as complex modeling program. On this basis, 3D geological modeling technology was explored herein. Firstly, the representation method of 3D geological model and the data processing method of geological modeling are discussed; secondly, aiming at the problems of low modeling accuracy and little information data, Delaunay Triangulation Algorithm is applied to establish the correlation between 3D geological model and data; the theoretical basis and application skills for supplementing the measurement data by Kriging Interpolation Method are explored; finally, by using Dynamo visual programming plug-in, the topographic curved surface, unstratified 3D geological entity and the stratified 3D geological entity have been generated successively, the 3D geological modeling platform based on Revit has been improved, and the 3D geological model of the stratified structure has been quickly created and has been applied to Liangshuijing Tunnel Engineering Project.","PeriodicalId":355388,"journal":{"name":"Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131907742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Experimental Research on Tensile Performance of Chemical Anchor Bolt Groups under Repeated Loading after Freeze-Thaw Cycles 冻融循环反复加载下化学锚杆组拉伸性能试验研究

Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning Pub Date : 2022-06-18 DOI: 10.1145/3546632.3546888

Chengxiang Xu, Te Qi, Jialin Shu

{"title":"Experimental Research on Tensile Performance of Chemical Anchor Bolt Groups under Repeated Loading after Freeze-Thaw Cycles","authors":"Chengxiang Xu, Te Qi, Jialin Shu","doi":"10.1145/3546632.3546888","DOIUrl":"https://doi.org/10.1145/3546632.3546888","url":null,"abstract":"In order to analyse the tensile performance of chemical anchor bolt groups under repeated loading after freeze-thaw cycles, 4 groups of 12 chemical anchor bolt groups specimens were designed and fabricated, and the chemical anchor bolt groups specimens subjected to different freeze-thaw cycles tensile test under repeated load,we analyze its failure form, load-displacement curve, skeleton curve and stiffness degradation curve. The test results show that freeze-thaw cycles will cause damage to the concrete of the test block, and repeated loading will damage the bonding surface of the chemical glue and concrete; due to the repeated load, the load-displacement curve of the test piece will appear dense first and then sparse; the number of freeze-thaw cycles increases from 50 to 100, chemical anchoring The peak load of the bolt group anchor specimens decreased by 9.36%; the number of repetitive loads increased from 10 to 20 times, and the peak load of the chemical anchor bolt group specimens decreased by 10.78%; compared with the chemical anchor groups test without freeze-thaw cycles Compared with the test pieces, the initial stiffness of the chemical anchor groups after 50 freeze-thaw cycles decreased by 7.79%, and the initial stiffness of the chemical anchor groups after 100 freeze-thaw cycles decreased by 14.71%; the initial stiffness of the effect of melting cycle on the tensile performance of chemical anchor bolt groups is greater than repeated loading.","PeriodicalId":355388,"journal":{"name":"Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133103529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GA-BP Neural Network Prediction Model for Tunneling Speed of Shield Machine with Composite Formation Dual Mode (TBM-EPB) 复合成形双模盾构机掘进速度GA-BP神经网络预测模型

Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning Pub Date : 2022-06-18 DOI: 10.1145/3546632.3546633

Qimeng Shi, Pengfei Song, Z. Tan, Q. Qiu, Hao Liu, Bin Peng, A. P. Kerzhaev, G. Yu, Ze Chen, M. D. Kovalenko, Gang Li, Binghong Shi, I. V. Menshova

{"title":"GA-BP Neural Network Prediction Model for Tunneling Speed of Shield Machine with Composite Formation Dual Mode (TBM-EPB)","authors":"Qimeng Shi, Pengfei Song, Z. Tan, Q. Qiu, Hao Liu, Bin Peng, A. P. Kerzhaev, G. Yu, Ze Chen, M. D. Kovalenko, Gang Li, Binghong Shi, I. V. Menshova","doi":"10.1145/3546632.3546633","DOIUrl":"https://doi.org/10.1145/3546632.3546633","url":null,"abstract":"Relying on the construction site data of Shenzhen Metro Line 13 tunnel project, in this paper, the genetic algorithm (GA) was used to optimize the BP neural network (BP NN) to establish a new GA-BP NN prediction model to predict the tunneling speed of the shield machine. In order to obtain more reasonable and reliable tunneling parameters during the shield tunnel construction .Firstly, the influencing factors of the tunneling speed of the shield machine in the two modes were analyzed, and the sample data of relevant factors was established for this project; secondly, BP NN was trained with 740 sets data to build a prediction model, which was tested with 120 sets of data; then used genetic algorithm to optimize the BP NN, a mature trained GA-BP NN prediction model was obtained through network training; finally, the predicted and measured values of the two prediction models were compared and the errors are analyzed. The results show that the optimized BP NN model has higher accuracy prediction ability than the standard BP NN model.","PeriodicalId":355388,"journal":{"name":"Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126166545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Bayesian Matrix Completion for Planning Diabetes Treatment Based on Urban Cases 基于城市病例的糖尿病治疗计划的贝叶斯矩阵补全

Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning Pub Date : 2022-06-18 DOI: 10.1145/3546632.3546886

Jianlong Chen, Haijie Xu, Mandi Liu, Lei Zhang

引用次数: 1

Adaptability Assessment of CO2 Emission Reduction Technologies for School Buildings: A Case Study of Hot-Summer and Cold-Winter Areas in China 学校建筑CO2减排技术适应性评价——以夏热冬冷地区为例

Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning Pub Date : 2022-06-18 DOI: 10.1145/3546632.3546883

Jiqi Wang, Jintao Chen, Yuhang Fang, Connie Ma, Xiaoyu Luo

{"title":"Adaptability Assessment of CO2 Emission Reduction Technologies for School Buildings: A Case Study of Hot-Summer and Cold-Winter Areas in China","authors":"Jiqi Wang, Jintao Chen, Yuhang Fang, Connie Ma, Xiaoyu Luo","doi":"10.1145/3546632.3546883","DOIUrl":"https://doi.org/10.1145/3546632.3546883","url":null,"abstract":"The carbon dioxide (CO2) emission during the operation period of a building accounts for about 80% of the building's total CO2 emission in its whole life cycle, which is an important matter when attempting to reduce the CO2 emission of a building. In recent years, the number of primary and secondary schools in China has grown rapidly. As the energy use of school buildings is different from the energy use of other building types, it is important to explore the adaptability of different CO2 emission reduction technologies to primary and secondary school buildings. This study investigated the basic information of 31 primary and secondary school buildings in a hot-summer and cold-winter area in China and obtained energy consumption data from 21 of them. The 21 schools were then divided into two typical school building types through cluster analysis, and typical models of the two typical building types were built using the Designbuilder software. A total of 22 CO2 emission reduction technologies were selected from practical building cases and from local regulations on the three dimensions of such technologies (i.e., improving the thermal performance of the building envelope, renewable-energy utilization, and use of high-performance equipment) and were applied to the simulation to obtain their corresponding CO2 emission reduction rates. Finally, the 22 CO2 emission reduction technologies were divided into three different grades according to their CO2 emission reduction rates to provide architects with a theoretical basis and practical reference for selecting the appropriate and optimal CO2 emission reduction technologies in the architectural design stage, and to promote the construction of green and low-CO2 campuses.","PeriodicalId":355388,"journal":{"name":"Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132005708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Transmission Line Foreign Object Detection Based on Edge Calculation 基于边缘计算的传输线异物检测研究

Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning Pub Date : 2022-06-18 DOI: 10.1145/3546632.3546876

Yongbo Zhang, Xiangfeng Gong, Jian Sun, Youshui Tao, W. Su

引用次数: 1

Research on Security Mechanism of Hadoop Big Data Platform Hadoop大数据平台安全机制研究

Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning Pub Date : 2022-06-18 DOI: 10.1145/3546632.3546889

Wenjie Gu, Shuang-cheng Jia

引用次数: 0

Experimental Research on Tensile Properties of Chemical Anchor Bolt Groups after High Temperature 化学锚杆组高温拉伸性能试验研究

Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning Pub Date : 2022-06-18 DOI: 10.1145/3546632.3546881

Chengxiang Xu, Jialin Shu, Te Qi

{"title":"Experimental Research on Tensile Properties of Chemical Anchor Bolt Groups after High Temperature","authors":"Chengxiang Xu, Jialin Shu, Te Qi","doi":"10.1145/3546632.3546881","DOIUrl":"https://doi.org/10.1145/3546632.3546881","url":null,"abstract":"In order to research the tensile properties of chemical anchor bolt groups after high temperature, five groups of 15 chemical anchor bolt groups specimens were designed and manufactured. The pull-out test of specimens subjected to different temperatures and constant temperature time is carried out to explore their damage mode and high temperature damage mechanism, analyze the effects of different temperatures and constant temperature time on their tensile load capacity, and establish the calculation formula of tensile properties of chemical anchor bolt groups. The research results showed that the specimens were not subjected to high temperature had concrete cone failure, and the specimens were subjected to high temperature had concrete mixed failure or splitting failure. High temperature damage is the result of the combined action of the chemical anchor bolt and the substrate concrete. The discounting effect of temperature on the tensile properties of chemical anchor bolt groups specimens is obvious, while the effect of constant temperature time on the tensile properties of chemical anchor bolt groups specimens is small. The calculation results of the established tensile properties formula basically match with the test results.","PeriodicalId":355388,"journal":{"name":"Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133852873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of a Visualization System for Infectious Disease Transmission and Control Based on Multi-source Spatio-Temporal Data 基于多源时空数据的传染病传播与控制可视化系统设计

Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning Pub Date : 2022-06-18 DOI: 10.1145/3546632.3546890

Zhen Zhen, Zhanwu Ma, Yuhui Wang

引用次数: 0

Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning 2022年计算基础设施与城市规划国际会议论文集

Proceedings of the 2022 International Conference on Computational Infrastructure and Urban Planning Pub Date : 1900-01-01 DOI: 10.1145/3546632

引用次数: 0