首页 > 最新文献

Journal of Computing in Civil Engineering最新文献

英文 中文
A Parameter-Driven Method for Modeling Bridge Defects through IFC 基于IFC的桥梁缺陷参数驱动建模方法
IF 6.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-07-01 DOI: 10.1061/(asce)cp.1943-5487.0001026
Shuyuan Xu, J. Wang, Xiangyu Wang, Peng Wu, W. Shou, Chao Liu
{"title":"A Parameter-Driven Method for Modeling Bridge Defects through IFC","authors":"Shuyuan Xu, J. Wang, Xiangyu Wang, Peng Wu, W. Shou, Chao Liu","doi":"10.1061/(asce)cp.1943-5487.0001026","DOIUrl":"https://doi.org/10.1061/(asce)cp.1943-5487.0001026","url":null,"abstract":"","PeriodicalId":50221,"journal":{"name":"Journal of Computing in Civil Engineering","volume":"33 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72586752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Demographics as Determinants of Building Occupants' Indoor Environmental Perceptions: Insights from a Machine Learning Incremental Modeling and Analysis Approach 人口统计数据是建筑居住者室内环境感知的决定因素:来自机器学习增量建模和分析方法的见解
IF 6.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-07-01 DOI: 10.1061/(asce)cp.1943-5487.0001028
Abdulrahim Ali, Min-Der Lin, Maedot S. Andargie, Elie Azar
{"title":"Demographics as Determinants of Building Occupants' Indoor Environmental Perceptions: Insights from a Machine Learning Incremental Modeling and Analysis Approach","authors":"Abdulrahim Ali, Min-Der Lin, Maedot S. Andargie, Elie Azar","doi":"10.1061/(asce)cp.1943-5487.0001028","DOIUrl":"https://doi.org/10.1061/(asce)cp.1943-5487.0001028","url":null,"abstract":"","PeriodicalId":50221,"journal":{"name":"Journal of Computing in Civil Engineering","volume":"1 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83168557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Point Cloud-Based Concrete Surface Defect Semantic Segmentation 基于点云的混凝土表面缺陷语义分割
IF 6.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-06-20 DOI: 10.7146/aul.455.c227
Neshat Bolourian, M. Nasrollahi, Fardin Bahreini, A. Hammad
Structural inspection is essential to improve the safety and sustainability of infrastructure systems, such as bridges. Therefore, several technologies have been developed to detect defects automatically and accurately. For example, instead of using naked eye for bridge surface defect detection, which is subjective and risky, Light Detection and Ranging can collect high-quality 3D point clouds.This paperpresents the Surface Normal Enhanced PointNet++ (SNEPointNet++),which is a modified version of thewell-knownPointNet++methodapplied to thetask of concrete surface defectdetection. To this end, a point clouddatasetfrom three bridges in Montreal was collected, annotated,and classified into the three classesofcracks, spalls, and no-defects. Based on the comparison between the results(IoU)from the proposed method and similar researchdoneon the same dataset, there areat least 54% and 13% performance improvementsin detecting cracks and spalls,respectively.
结构检查对于提高桥梁等基础设施系统的安全性和可持续性至关重要。因此,为了自动准确地检测缺陷,人们开发了多种技术。例如,用肉眼检测桥梁表面缺陷具有主观性和风险性,光检测与测距可以采集到高质量的三维点云。本文提出了表面法线增强PointNet++ (SNEPointNet++),它是对著名的npointnet ++方法的改进版本,用于混凝土表面缺陷检测任务。为此,我们收集了蒙特利尔三座桥梁的点云数据集,对其进行了注释,并将其分为裂缝、碎片和无缺陷三类。基于该方法与相同数据集上的类似研究结果(IoU)的比较,在检测裂纹和碎屑方面,该方法的性能分别提高了54%和13%。
{"title":"Point Cloud-Based Concrete Surface Defect Semantic Segmentation","authors":"Neshat Bolourian, M. Nasrollahi, Fardin Bahreini, A. Hammad","doi":"10.7146/aul.455.c227","DOIUrl":"https://doi.org/10.7146/aul.455.c227","url":null,"abstract":"Structural inspection is essential to improve the safety and sustainability of infrastructure systems, such as bridges. Therefore, several technologies have been developed to detect defects automatically and accurately. For example, instead of using naked eye for bridge surface defect detection, which is subjective and risky, Light Detection and Ranging can collect high-quality 3D point clouds.This paperpresents the Surface Normal Enhanced PointNet++ (SNEPointNet++),which is a modified version of thewell-knownPointNet++methodapplied to thetask of concrete surface defectdetection. To this end, a point clouddatasetfrom three bridges in Montreal was collected, annotated,and classified into the three classesofcracks, spalls, and no-defects. Based on the comparison between the results(IoU)from the proposed method and similar researchdoneon the same dataset, there areat least 54% and 13% performance improvementsin detecting cracks and spalls,respectively.","PeriodicalId":50221,"journal":{"name":"Journal of Computing in Civil Engineering","volume":"51 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90547380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Digital Twin for Monitoring In-Service Performance of Post-Tensioned Self-Centering Cross-Laminated Timber Shear Walls 后张自定心交叉层合木剪力墙在役性能监测的数字孪生
IF 6.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-05-24 DOI: 10.1061/9780784483893.069
Ryan P. Longman, Yiye Xu, Qi Sun, Y. Turkan, Maria A Riggio
A digital twin (DT) can be defined as a multi-physics, multiscale model in which a digital model, such as a building information model (BIM), is updated based on data obtained from a physical system as well as results from probabilistic simulations and models. This study describes the critical steps towards the implementation of DTs to support structural health monitoring (SHM) of mass timber buildings. In particular, the study defines a methodological approach used to integrate as-built geometry of existing buildings, as well as their material properties and sensors, to link SHM parameters into a digital model to assist in assessing a building’s structural performance. A coupled pair of post-tensioned cross-laminated timber (CLT) self-centering shear walls at the George W. Peavy Forest Science Center (“Peavy Hall”) at Oregon State University were used as a case study to test the proposed approach. The BIM of the shear walls was developed using a Scan-to-BIM approach by converting LiDAR point clouds into a BIM. Sensors in the building recorded environmental and structural parameters influencing the long-term performance of the
数字孪生(DT)可以定义为多物理场、多尺度模型,其中数字模型(如建筑信息模型(BIM))基于从物理系统获得的数据以及概率模拟和模型的结果进行更新。本研究描述了实施DTs以支持大型木结构建筑结构健康监测(SHM)的关键步骤。特别是,该研究定义了一种方法方法,用于整合现有建筑物的建成几何形状,以及它们的材料特性和传感器,将SHM参数链接到数字模型中,以协助评估建筑物的结构性能。俄勒冈州立大学George W. Peavy森林科学中心(“Peavy大厅”)的一对后张交叉层压木材(CLT)自定心剪力墙作为案例研究来测试所提出的方法。剪力墙的BIM采用扫描到BIM的方法,将激光雷达点云转换为BIM。建筑物内的传感器记录影响建筑物长期性能的环境和结构参数
{"title":"Digital Twin for Monitoring In-Service Performance of Post-Tensioned Self-Centering Cross-Laminated Timber Shear Walls","authors":"Ryan P. Longman, Yiye Xu, Qi Sun, Y. Turkan, Maria A Riggio","doi":"10.1061/9780784483893.069","DOIUrl":"https://doi.org/10.1061/9780784483893.069","url":null,"abstract":"A digital twin (DT) can be defined as a multi-physics, multiscale model in which a digital model, such as a building information model (BIM), is updated based on data obtained from a physical system as well as results from probabilistic simulations and models. This study describes the critical steps towards the implementation of DTs to support structural health monitoring (SHM) of mass timber buildings. In particular, the study defines a methodological approach used to integrate as-built geometry of existing buildings, as well as their material properties and sensors, to link SHM parameters into a digital model to assist in assessing a building’s structural performance. A coupled pair of post-tensioned cross-laminated timber (CLT) self-centering shear walls at the George W. Peavy Forest Science Center (“Peavy Hall”) at Oregon State University were used as a case study to test the proposed approach. The BIM of the shear walls was developed using a Scan-to-BIM approach by converting LiDAR point clouds into a BIM. Sensors in the building recorded environmental and structural parameters influencing the long-term performance of the","PeriodicalId":50221,"journal":{"name":"Journal of Computing in Civil Engineering","volume":"262 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76970461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Conditional Generative Adversarial Networks with Adversarial Attack and Defense for Generative Data Augmentation 基于条件生成对抗网络的生成数据增强对抗攻击与防御
IF 6.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-05-01 DOI: 10.1061/(asce)cp.1943-5487.0001015
Francis Baek, Daeho Kim, Somin Park, Hyoungkwan Kim, Sanghyun Lee
{"title":"Conditional Generative Adversarial Networks with Adversarial Attack and Defense for Generative Data Augmentation","authors":"Francis Baek, Daeho Kim, Somin Park, Hyoungkwan Kim, Sanghyun Lee","doi":"10.1061/(asce)cp.1943-5487.0001015","DOIUrl":"https://doi.org/10.1061/(asce)cp.1943-5487.0001015","url":null,"abstract":"","PeriodicalId":50221,"journal":{"name":"Journal of Computing in Civil Engineering","volume":"29 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79371858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Impact of VR-Based Training on Human-Robot Interaction for Remote Operating Construction Robots 基于vr的训练对远程施工机器人人机交互的影响
IF 6.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-05-01 DOI: 10.1061/(asce)cp.1943-5487.0001016
Pooya Adami, Patrick B. Rodrigues, P. Woods, B. Becerik-Gerber, L. Soibelman, Yasemin Copur-Gencturk, Gale M. Lucas
{"title":"Impact of VR-Based Training on Human-Robot Interaction for Remote Operating Construction Robots","authors":"Pooya Adami, Patrick B. Rodrigues, P. Woods, B. Becerik-Gerber, L. Soibelman, Yasemin Copur-Gencturk, Gale M. Lucas","doi":"10.1061/(asce)cp.1943-5487.0001016","DOIUrl":"https://doi.org/10.1061/(asce)cp.1943-5487.0001016","url":null,"abstract":"","PeriodicalId":50221,"journal":{"name":"Journal of Computing in Civil Engineering","volume":"25 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83688772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Model Validation Using Invariant Signatures and Logic-Based Inference for Automated Building Code Compliance Checking 基于不变签名和逻辑推理的自动建筑规范符合性检查模型验证
IF 6.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-05-01 DOI: 10.1061/(asce)cp.1943-5487.0001002
Jin Wu, Jiansong Zhang
{"title":"Model Validation Using Invariant Signatures and Logic-Based Inference for Automated Building Code Compliance Checking","authors":"Jin Wu, Jiansong Zhang","doi":"10.1061/(asce)cp.1943-5487.0001002","DOIUrl":"https://doi.org/10.1061/(asce)cp.1943-5487.0001002","url":null,"abstract":"","PeriodicalId":50221,"journal":{"name":"Journal of Computing in Civil Engineering","volume":"112 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89623292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
NLP-Based Query-Answering System for Information Extraction from Building Information Models 基于nlp的建筑信息模型信息提取查询应答系统
IF 6.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-05-01 DOI: 10.1061/(asce)cp.1943-5487.0001019
Ning Wang, R. Issa, C. Anumba
{"title":"NLP-Based Query-Answering System for Information Extraction from Building Information Models","authors":"Ning Wang, R. Issa, C. Anumba","doi":"10.1061/(asce)cp.1943-5487.0001019","DOIUrl":"https://doi.org/10.1061/(asce)cp.1943-5487.0001019","url":null,"abstract":"","PeriodicalId":50221,"journal":{"name":"Journal of Computing in Civil Engineering","volume":"69 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77000047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
A Case Study on Multilane Roundabout Capacity Evaluation Using Computer Vision and Deep Learning 基于计算机视觉和深度学习的多车道环岛容量评估案例研究
IF 6.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-05-01 DOI: 10.1061/(asce)cp.1943-5487.0001007
Pranav Khekare, S. Bonthu, V. Hunt, A. Helmicki, Kevin Lee
{"title":"A Case Study on Multilane Roundabout Capacity Evaluation Using Computer Vision and Deep Learning","authors":"Pranav Khekare, S. Bonthu, V. Hunt, A. Helmicki, Kevin Lee","doi":"10.1061/(asce)cp.1943-5487.0001007","DOIUrl":"https://doi.org/10.1061/(asce)cp.1943-5487.0001007","url":null,"abstract":"","PeriodicalId":50221,"journal":{"name":"Journal of Computing in Civil Engineering","volume":"28 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86532295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Development of a Car-Free Street Mapping Model Using an Integrated System with Unmanned Aerial Vehicles, Aerial Mapping Cameras, and a Deep Learning Algorithm 使用无人机、航空测绘相机和深度学习算法的集成系统开发无车街道测绘模型
IF 6.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2022-05-01 DOI: 10.1061/(asce)cp.1943-5487.0001013
Seungho Lee, Seokhyeon Kim, Sungkon Moon
{"title":"Development of a Car-Free Street Mapping Model Using an Integrated System with Unmanned Aerial Vehicles, Aerial Mapping Cameras, and a Deep Learning Algorithm","authors":"Seungho Lee, Seokhyeon Kim, Sungkon Moon","doi":"10.1061/(asce)cp.1943-5487.0001013","DOIUrl":"https://doi.org/10.1061/(asce)cp.1943-5487.0001013","url":null,"abstract":"","PeriodicalId":50221,"journal":{"name":"Journal of Computing in Civil Engineering","volume":"41 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74544090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
期刊
Journal of Computing in Civil Engineering
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1