Abstract
In this paper, a fiber Bragg grating (FBG)-based stress monitoring system instrumented on an orthotropic steel deck arch bridge is demonstrated. The FBG sensors are installed at two types of critical fatigue-prone welded joints to measure the strain and temperature signals. A total of 64 FBG sensors are deployed around the rib-to-deck and rib-to-diagram areas at the mid-span and quarter-span of the investigated orthotropic steel bridge. The local stress behaviors caused by the highway loading and temperature effect during the construction and operation periods are presented with the aid of a wavelet multi-resolution analysis approach. In addition, the multi-modal characteristic of the rainflow counted stress spectrum is modeled by the method of finite mixture distribution together with a genetic algorithm (GA)-based parameter estimation approach. The optimal probability distribution of the stress spectrum is determined by use of Bayesian information criterion (BIC). Furthermore, the hot spot stress of the welded joint is calculated by an extrapolation method recommended in the specification of International Institute of Welding (IIW). The stochastic characteristic of stress concentration factor (SCF) of the concerned welded joint is addressed. The proposed FBG-based stress monitoring system and probabilistic stress evaluation methods can provide an effective tool for structural monitoring and condition assessment of orthotropic steel bridges.
Highlights
During the past three decades, increasing attentions within the engineering and academic communities have been paid to the technology of structural health monitoring (SHM) for the sake of tracking the environmental loadings and structural behaviors in a continuous and real-time manner [1]
An fiber Bragg grating (FBG)-based field stress monitoring approach was proposed and instrumented on the welded joints of an orthotropic steel bridge crossing the Beijing-Hangzhou Grand Canal located in Hangzhou, China
A total of 64 FBG sensors were deployed on the positions of rib-to-deck and rib-to-diagram welded joints at the mid-span and quarter span sections
Summary
During the past three decades, increasing attentions within the engineering and academic communities have been paid to the technology of structural health monitoring (SHM) for the sake of tracking the environmental loadings and structural behaviors in a continuous and real-time manner [1]. The advances of large-scale SHM systems provide effective measures for engineering structures to operate in the safety range [2,3,4]. Instrumentation of bridges using diversified optical fiber sensors are widely reported in the fiber sensors are widely reported in the literatures [14,15,16,17,18,19,20]. With the aid of the FBG sensing technology, a growing number of investigators a growing number of investigators have paid attentions to structural safety assessment of in-service have paid attentions to structural safety assessment of in-service bridges [21,22,23,24,25,26]. FBG sensors are deployed on the fatigue-prone rib-to-deck and bridge is first introduced. Stochastic property of stress concentration factor (SCF) is addressed
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