Machine learning for risk and resilience assessment in structural engineering: Progress and future trends
Population growth, economic development, and rapid urbanization in many areas have led
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
Regional seismic risk and resilience assessment: Methodological development, applicability, and future research needs–An earthquake engineering perspective
Given the devastating losses incurred by past major earthquake events together with the
ever-increasing global seismic exposures due to population growth and urbanization …
ever-increasing global seismic exposures due to population growth and urbanization …
Cloud-IDA-MSA conversion of fragility curves for efficient and high-fidelity resilience assessment
In performance-based earthquake engineering framework, seismic fragility functions play a
fundamental role for quantifying the seismic resilience. There are three main approaches for …
fundamental role for quantifying the seismic resilience. There are three main approaches for …
Rapid seismic damage evaluation of bridge portfolios using machine learning techniques
The damage state of a bridge has significant implications on the post-earthquake
emergency traffic and recovery operations and is critical to identify the post-earthquake …
emergency traffic and recovery operations and is critical to identify the post-earthquake …
Uniform design–based Gaussian process regression for data-driven rapid fragility assessment of bridges
This paper proposes a uniform design (UD)-based Gaussian process regression (GPR)
method for rapid damage assessment and fragility estimates of bridges. The core idea of the …
method for rapid damage assessment and fragility estimates of bridges. The core idea of the …
Effect of near-fault vertical ground motions on failure mode of long-span sea-crossing cable-stayed bridges
Existing investigations have proved that the near-fault vertical ground motion (VGM) would
have a significant effect on the seismic performance of bridge structures. This study mainly …
have a significant effect on the seismic performance of bridge structures. This study mainly …
A holistic framework for seismic analysis of extended pile-shaft-supported bridges against different extents of liquefaction and lateral spreading
X Wang, F Luo, A Ye - Soil Dynamics and Earthquake Engineering, 2023 - Elsevier
This paper proposes a holistic framework for seismic analysis of extended pile-shaft-
supported bridges experiencing different extents of liquefaction and lateral spreading. To …
supported bridges experiencing different extents of liquefaction and lateral spreading. To …
Probabilistic seismic fragility and loss analysis of concrete bridge piers with superelastic shape memory alloy-steel coupled reinforcing bars
Concrete bridge piers with conventional steel reinforcing bars are vulnerable to strong
earthquakes by inducing significant residual deformations, which substantially weakens the …
earthquakes by inducing significant residual deformations, which substantially weakens the …
Influence of ground motion duration on seismic behavior of RC bridge piers: The role of low-cycle fatigue damage of reinforcing bars
This paper assesses the influence of ground motion duration on seismic behavior of
reinforced concrete (RC) bridge piers using spectrally equivalent short-and long-duration …
reinforced concrete (RC) bridge piers using spectrally equivalent short-and long-duration …
Fragility-based sensitivity analysis on the seismic performance of pile-group-supported bridges in liquefiable ground undergoing scour potentials
X Wang, A Ye, B Ji - Engineering Structures, 2019 - Elsevier
Characterizing the effect of varying model parameters on the seismic performance of bridges
is a desirable assistance to retrofits of existing bridges and designs of new bridges …
is a desirable assistance to retrofits of existing bridges and designs of new bridges …