Implementation of a Probabilistic Structural Health Monitoring Method on a Highway Bridge

Author:

Scianna Adam1,Jiang Zhaoshuo1,Christenson Richard1,DeWolf John1

Affiliation:

1. Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269-2037, USA

Abstract

This paper describes the application of a probabilistic structural health monitoring (SHM) method to detect global damage in a highway bridge in Connecticut. The proposed method accounts for the variability associated with environmental and operational conditions. The bridge is a curved three-span steel dual-box girder bridge located in Hartford, Connecticut. The bridge, monitored since Fall 2001, experienced a period of settling in the Winter of 2002-2003. While this change was not associated with structural damage, it was observed in a permanent rotation of the bridge superstructure. Three damage measures are identified in this study: the value of fundamental natural frequency determined from peak picking of autospectral density functions of the bridge acceleration measurements; the magnitude of the peak acceleration measured during a truck crossing; the magnitude of the tilt measured at 10-minute intervals. These damage measures, including thermal effects, are shown to be random variables and associatedPvalues are calculated to determine if the current probability distributions are the same as the distributions of the baseline bridge data from 2001. Historical data measured during the settling of the bridge is used to verify the performance of the bridge, and the field implementation of the proposed method is described.

Funder

State of Connecticut Department of Transportation

Publisher

Hindawi Limited

Subject

Civil and Structural Engineering

Cited by 2 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. Low-Cost, Efficient Output-Only Infrastructure Damage Detection With Wireless Sensor Networks;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2020-03

2. Damage Detection and Evaluation in Wireless Sensor Network for Structural Health Monitoring;Intelligent Communication Technologies and Virtual Mobile Networks;2019-08-13

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