Bridge Digital Twinning Using an Output-Only Bayesian Model Updating Method and Recorded Seismic Measurements

Rapid post-earthquake damage diagnosis of bridges can guide decision-making for emergency response management and recovery. This can be facilitated using digital technologies to remove the barriers of manual post-event inspections. Prior mechanics-based Finite Element (FE) models can be used for pos...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 22; číslo 3; s. 1278
Hlavní autoři: Ghahari, Farid, Malekghaini, Niloofar, Ebrahimian, Hamed, Taciroglu, Ertugrul
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 08.02.2022
MDPI
Témata:
Analysis
Bayesian inference
Bridges
California
Case studies
damage diagnosis
Decision-making
digital twin
Earthquake damage
Earthquakes
finite element model updating
Mechanics
Methods
Simulation
soil-structure interaction
Sparsity
structural health monitoring
Television broadcasting industry
United Kingdom
United Kingdom
California
United States > US
foundation input motion
rapid post-earthquake assessment
soil-structure interaction
finite element model updating
digital twin
structural health monitoring
Bayesian inference
damage diagnosis
ISSN:1424-8220, 1424-8220
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Shrnutí:Rapid post-earthquake damage diagnosis of bridges can guide decision-making for emergency response management and recovery. This can be facilitated using digital technologies to remove the barriers of manual post-event inspections. Prior mechanics-based Finite Element (FE) models can be used for post-event response simulation using the measured ground motions at nearby stations; however, the damage assessment outcomes would suffer from uncertainties in structural and soil material properties, input excitations, etc. For instrumented bridges, these uncertainties can be reduced by integrating sensory data with prior models through a model updating approach. This study presents a sequential Bayesian model updating technique, through which a linear/nonlinear FE model, including soil-structure interaction effects, and the foundation input motions are jointly identified from measured acceleration responses. The efficacy of the presented model updating technique is first examined through a numerical verification study. Then, seismic data recorded from the San Rogue Canyon Bridge in California are used for a real-world case study. Comparison between the free-field and the foundation input motions reveals valuable information regarding the soil-structure interaction effects at the bridge site. Moreover, the reasonable agreement between the recorded and estimated bridge responses shows the potentials of the presented model updating technique for real-world applications. The described process is a practice of digital twinning and the updated FE model is considered as the digital twin of the bridge and can be used to analyze the bridge and monitor the structural response at element, section, and fiber levels to diagnose the location and severity of any potential damage mechanism.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s22031278