A Visual Management System for Structural Health Monitoring Based on Web-BIM and Dynamic Multi-source Monitoring Data-driven
Author:
Funder
Program of Major Achievements Transformation and Industrialization of Beijing Education Commission
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-06268-1.pdf
Reference49 articles.
1. Humar, J.L.; Amin, M.S.: Structural health monitoring. Struct. Eng. Mech. Comput. 6531(8), 1185–1193 (2001). https://doi.org/10.1016/B978-0-12-088760-6.X5001-6
2. Farrar, C.R.; Worden, K.: An introduction to structural health monitoring. Philos. Trans. A Math. Phys. Eng. Sci. 365(1851), 303–315 (2007). https://doi.org/10.1098/rsta.2006.1928
3. Annamdas, V.G.M.; Bhalla, S.; Soh, C.K.: Applications of structural health monitoring technology in Asia. Struct. Health Monit. 16(3), 324–346 (2017). https://doi.org/10.12783/SHM2015/1
4. Volk, R.; Stengel, J.; Schultmann, F.: Building information modeling (BIM) for existing buildings: literature review and future needs. Autom. Const. 38, 109–127 (2014). https://doi.org/10.1016/j.autcon.2013.10.023
5. Liu, Z.; Lu, Y.; Peh, L.C.: A review and scientometric analysis of global building information modeling (BIM) research in the architecture, engineering and construction (AEC) industry. Buildings 9(10), 210 (2019). https://doi.org/10.3390/buildings9100210
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Pixel‐Level Crack Identification for Bridge Concrete Structures Using Unmanned Aerial Vehicle Photography and Deep Learning;Structural Control and Health Monitoring;2024-01
2. Unsupervised Learning Techniques for Vibration-Based Structural Health Monitoring Systems Driven by Data;Handbook of Research on AI and ML for Intelligent Machines and Systems;2023-11-27
3. A Deep Sensing System for Monitoring the Health Status of Transmission Line Equipment Based on Self-Powered Sensors;IEEE Sensors Journal;2023-09-15
4. A Review of Theory and Application Development of Intelligent Operation Methods for Large Public Buildings;Sustainability;2023-06-16
5. BIM and ontology-based knowledge management for dam safety monitoring;Automation in Construction;2023-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3