Cited by 168Structural Health Monitoring TechniquesStructural Engineering and Vibration AnalysisInfrastructure Maintenance and Monitoring

Modal identification of bridges under varying environmental conditions: Temperature and wind effects

Li, Hui, Li, Shunlong, Ou, Jinping, Li, Hongwei·2009·Structural Control and Health Monitoring

Abstract

Numerous investigations have indicated that structural modal parameters are significantly impacted by varying environmental and operational conditions. This phenomenon will cause confusion when conducting modal-based damage detection and model updating. This paper investigates the dependency of modal frequencies, modal shapes and the associated damping ratios on temperature and wind velocity. The nonlinear principal component analysis (NLPCA) is first employed as a signal pre-processing tool to distinguish temperature and wind effects on structural modal parameters from other environmental factors. The pre-processed dataset by NLPCA implies the relationship between modal parameters and temperature as well as wind velocity. Consequently, the artificial neural network (ANN) technique is employed to model the relationship between the pre-processed modal parameters and environmental factors. Numerical results indicate that pre-processed modal parameters by NLPCA can retain the most features of original signals. Furthermore, the pre-processed modal frequency and damping ratios are dramatically affected by temperature and wind velocity. The ANN regression models have good capacities for mapping relationship of environmental factors and modal frequency, damping ratios. However, environmental effects on the entire modal shapes are insignificant. Copyright © 2009 John Wiley & Sons, Ltd.

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Crossref · 10.1002/stc.319

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Authors
Li, H., Li, S., Ou, J., & Li, H.
Affiliations
Harbin Institute of Technology (CN)
Corresponding author
Li, Hui
Venue
Structural Control and Health Monitoring
Published
2009
Pages
n/a-n/a
ISSN
  • 1545-2255 (ISSN-L)
  • 1545-2263
OpenAlex
W1988699504
Cited by
168
References
18
Citations by year
2026: 3 · 2025: 14 · 2024: 13 · 2023: 19 · 2022: 13 · 2021: 17 · 2020: 16 · 2019: 10 · 2018: 19 · 2017: 8 · 2016: 11 · 2015: 6 · 2014: 5 · 2013: 3 · 2012: 4
FWCI
11.09
Type
journal article
Language
en
Open access
closed
Locations
Structural Control and Health Monitoring (publishedVersion)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Vibration Analysis
  • Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
Keywords
temperature effects, wind speed effects, modal frequencies, damping ratio, mode shapes, nonlinear principal component analysis, signal preprocessing, neural network regression, damage detection, model updating

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