SHM deformation monitoring for high-speed rail track slabs and Bayesian change point detection for the measurements-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

SHM deformation monitoring for high-speed rail track slabs and Bayesian change point detection for the measurements

Published:2021-09 Issue: Volume:300 Page:124337
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Wang Qi-Ang,Zhang Cheng,Ma Zhan-Guo,Huang Jiandong,Ni Yi-Qing,Zhang Chao

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference37 articles.

1. A review on deep learning-based structural health monitoring of civil infrastructures;Ye;Smart Struct. Syst.,2019

2. Bayesian multi-task learning methodology for reconstruction of structural health monitoring data;Wan;Struct. Health Monitor.,2019

3. A survey of time series forecasting from stochastic method to soft computing;Hendikawati;J. Phys. Conf. Ser.,2020

4. State of the art machine learning techniques for time series forecasting: a survey;Nyein Naing;Adv. Sci. Lett.,2015

5. Reduction of computational error by optimizing svr kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm;Huang;Eng. Comp.,2021

Cited by 19 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. Revamping structural health monitoring of advanced rail transit systems: A paradigmatic shift from digital shadows to digital twins;Advanced Engineering Informatics;2024-08

2. Enhanced operational modal analysis and change point detection for vibration-based structural health monitoring of bridges;Journal of Infrastructure Intelligence and Resilience;2024-08

3. Data interpretation and forecasting of SHM heteroscedastic measurements under typhoon conditions enabled by an enhanced Hierarchical sparse Bayesian Learning model with high robustness;Measurement;2024-05

4. Concise Historic Overview of Rail Corrugation Studies: From Formation Mechanisms to Detection Methods;Buildings;2024-04-01

5. Supplementary cementitious materials-based concrete porosity estimation using modeling approaches: A comparative study of GEP and MEP;REVIEWS ON ADVANCED MATERIALS SCIENCE;2024-01-01

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