Diagnosis, Prognosis, and Maintenance Decision Making for Civil Infrastructure: Bayesian Data Analytics and Machine Learning
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-81716-9_3
Reference56 articles.
1. Vega MA (2020) Diagnosis, prognosis, and maintenance decision making for civil infrastructure. UC San Diego
2. Moaveni B, Conte JP, Hemez FM (2009) Uncertainty and sensitivity analysis of damage identification results obtained using finite element model updating. Comput Civ Infrastruct Eng 24:320–334. https://doi.org/10.1111/j.1467-8667.2008.00589.x
3. Jang S, Li J, Spencer BF (2013) Corrosion estimation of a historic truss bridge using model updating. J Bridge Eng 18:678–689. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000403
4. Vega MA, Ramancha MR, Conte JP, Todd MD (2020) Efficient Bayesian inference of miter gates using high-fidelity models. In: Model validation and uncertainty quantification, volume 3: proceedings of the 38th IMAC, a conference and exposition on structural dynamics 2020, Houston, TX. Springer
5. Kim N-H, An D, Choi J-H (2017) Prognostics and health management of engineering systems. Springer International Publishing, Cham. https://doi.org/10.1007/978-3-319-44742-1
Cited by 6 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. Fusing infrastructure health monitoring data in point cloud;Automation in Construction;2024-09
2. An optimal sensor design framework accounting for sensor reliability over the structural life cycle;Mechanical Systems and Signal Processing;2023-11
3. Physics-based corrosion reliability analysis of miter gates using multi-scale simulations and adaptive surrogate modeling;Mechanical Systems and Signal Processing;2023-10
4. Improved undamaged-to-damaged acceleration response translation for Structural Health Monitoring;Engineering Applications of Artificial Intelligence;2023-06
5. The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions;Reliability Engineering & System Safety;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