Long-term missing wind data recovery using free access databases and deep learning for bridge health monitoring-Reference-Cited by-同舟云学术

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Long-term missing wind data recovery using free access databases and deep learning for bridge health monitoring

Published:2022-11 Issue: Volume:230 Page:105201
ISSN:0167-6105
Container-title:Journal of Wind Engineering and Industrial Aerodynamics
language:en
Short-container-title:Journal of Wind Engineering and Industrial Aerodynamics

Author:

Wang Zhi-wei,Li An-dong,Zhang Wen-ming,Zhang Yu-feng

Publisher

Elsevier BV

Subject

Mechanical Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Reference56 articles.

1. Effect of uncertainties in wind speed and direction on the fatigue damage of long-span bridges;Alduse;Eng. Struct.,2015

2. Compressive sensing of wireless sensors based on sparse group optimization for structural health monitoring;Bao;Struct. Health Monit.,2018

3. Eurocode 1: Actions on Structures - Part 1-4: General Actions - Wind Actions;CEN,2005

4. Time domain flutter and buffeting response analysis of bridges;Chen;J. Eng. Mech.,2000

5. Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach;Chen;Struct. Health Monit.,2019

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