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Open AccessArticle

SHM-Based Probabilistic Fatigue Life Prediction for Bridges Based on FE Model Updating

by 1 and 2,*
1
School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Korea
2
Department of Civil Engineering, University of Seoul, Seoul 02504, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Hong-Nan Li
Sensors 2016, 16(3), 317; https://doi.org/10.3390/s16030317
Received: 11 November 2015 / Revised: 17 February 2016 / Accepted: 22 February 2016 / Published: 2 March 2016
(This article belongs to the Section Physical Sensors)
Fatigue life prediction for a bridge should be based on the current condition of the bridge, and various sources of uncertainty, such as material properties, anticipated vehicle loads and environmental conditions, make the prediction very challenging. This paper presents a new approach for probabilistic fatigue life prediction for bridges using finite element (FE) model updating based on structural health monitoring (SHM) data. Recently, various types of SHM systems have been used to monitor and evaluate the long-term structural performance of bridges. For example, SHM data can be used to estimate the degradation of an in-service bridge, which makes it possible to update the initial FE model. The proposed method consists of three steps: (1) identifying the modal properties of a bridge, such as mode shapes and natural frequencies, based on the ambient vibration under passing vehicles; (2) updating the structural parameters of an initial FE model using the identified modal properties; and (3) predicting the probabilistic fatigue life using the updated FE model. The proposed method is demonstrated by application to a numerical model of a bridge, and the impact of FE model updating on the bridge fatigue life is discussed. View Full-Text
Keywords: probabilistic fatigue life; fatigue life prediction; bridge fatigue; structural health monitoring; finite element model updating probabilistic fatigue life; fatigue life prediction; bridge fatigue; structural health monitoring; finite element model updating
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MDPI and ACS Style

Lee, Y.-J.; Cho, S. SHM-Based Probabilistic Fatigue Life Prediction for Bridges Based on FE Model Updating. Sensors 2016, 16, 317. https://doi.org/10.3390/s16030317

AMA Style

Lee Y-J, Cho S. SHM-Based Probabilistic Fatigue Life Prediction for Bridges Based on FE Model Updating. Sensors. 2016; 16(3):317. https://doi.org/10.3390/s16030317

Chicago/Turabian Style

Lee, Young-Joo; Cho, Soojin. 2016. "SHM-Based Probabilistic Fatigue Life Prediction for Bridges Based on FE Model Updating" Sensors 16, no. 3: 317. https://doi.org/10.3390/s16030317

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