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RISRegional Seismic Risk Assessment of Infrastructure Systems through Machine Learning: Active Learning Approach
Publisher: ASCE
Abstract: Regional seismic risk assessment involves many infrastructure systems, and it is computationally intensive to conduct an individual simulation of each system. This paper suggests an approach using active learning to select ...
Ground Motion-Dependent Rapid Damage Assessment of Structures Based on Wavelet Transform and Image Analysis Techniques
Publisher: ASCE
Abstract: Rapid and accurate evaluation of the damage state of structures after a seismic event is critical for postevent emergency response and recovery. The existing rapid damage evaluation methodology is typically based on fragility ...
Skew Adjustment Factors for Fragilities of California Box-Girder Bridges Subjected to near-Fault and Far-Field Ground Motions
Publisher: American Society of Civil Engineers
Abstract: Past reconnaissance studies revealed that bridges close to active faults are more susceptible to damage, and more than 60% of the bridges in California are skewed. To assess the combined effect of near-fault (NF) ground ...
Machine Learning–Based Seismic Reliability Assessment of Bridge Networks
Publisher: ASCE
Abstract: Transportation networks are critical components of lifeline systems. They can experience disruptions due to seismic hazards that could lead to severe emergency response and recovery problems. Finding an efficient and ...
Focal Mechanism Influence with Azimuth Using Near-Field Simulated Ground Motion: Application to a Multispan Continuous Concrete Single-Frame Box-Girder Bridge
Publisher: ASCE
Abstract: Bridges in earthquake-prone states like California have been studied for near-field and far-field loadings. However, there is a research gap in terms of how an earthquake of a certain strike, dip, and rake is going to ...
High-Dimensional Model Approach for Stochastic Response of Multispan Box Girder Bridges
Publisher: ASCE
Abstract: Seismic safety assessment of reinforced concrete box girder bridges has received considerable attention as they are increasingly popular in modern highway systems. However, the detailed seismic assessment of box girder ...
Interpretable XGBoost-SHAP Machine-Learning Model for Shear Strength Prediction of Squat RC Walls
Publisher: ASCE
Abstract: RC shear walls are commonly used as lateral load-resisting elements in seismic regions, and the estimation of their shear strengths can become simultaneously design-critical and complex when they have so-called squat ...
Explainable XGBoost–SHAP Machine-Learning Model for Prediction of Ground Motion Duration in New Zealand
Publisher: ASCE
Abstract: Although ground motion duration significantly influences structural response, there is a lack of accurate prediction models for ground motion duration. Ground motion duration plays a vital role in structural response during ...
Effectiveness Assessment of TMDs in Bridges under Strong Winds Incorporating Machine-Learning Techniques
Publisher: ASCE
Abstract: Tuned mass dampers (TMDs) are widely used to control excessive wind-induced vibration in the box girders of long-span bridges. Although the optimal design of TMDs has been investigated abundantly in the last few years, the ...