Hierarchical sparse Bayesian learning for structural damage detection: Theory, computation and application-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Hierarchical sparse Bayesian learning for structural damage detection: Theory, computation and application

Published:2017-01 Issue: Volume:64 Page:37-53
ISSN:0167-4730
Container-title:Structural Safety
language:en
Short-container-title:Structural Safety

Author:

Huang Yong,Beck James L.,Li Hui

Funder

National Natural Science Foundation of China

China Postdoctoral Council

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Reference44 articles.

1. A summary review of vibration-based damage identification methods;Doebling;Shock Vib Digest,1998

2. Bayesian probabilistic approach to structural health monitoring;Vanik;J Eng Mech,2000

3. Monitoring structural health using a probabilistic measure;Beck;Comput-Aid Civ Infrastruct Eng,2001

4. Structural health monitoring in mainland China: review and future trends;Ou;Struct Health Monitoring,2010

5. Structural health monitoring: A machine learning perspective;Farrar,2013

Cited by 73 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. Element-wise parallel deep learning for structural distributed damage diagnosis by leveraging physical properties of long-gauge static strain transmissibility under moving loads;Mechanical Systems and Signal Processing;2024-11

2. Unsupervised quantitative structural damage identification method based on BiLSTM networks and probability distribution model;Journal of Sound and Vibration;2024-11

3. Sparse Bayesian learning using TMB (Template Model Builder);Statistics and Computing;2024-08-28

4. Parameter estimation and uncertainty quantification of a fiber-reinforced concrete model by means of a multi-level Bayesian approach;Construction and Building Materials;2024-08

5. A comprehensive review on health monitoring of joints in steel structures;Smart Materials and Structures;2024-06-19

同舟云学术

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