A stochastic CSM-based displacement-oriented design strategy for the novel precast SRC-UHPC composite braced-frame in the externally attached seismic retrofitting

XY Cao, DC Feng, CL Wang, D Shen, G Wu - Composite Structures, 2023 - Elsevier
With the development of performance based earthquake engineering, the recognition of
performance based seismic design (PBSD) is continuously growing in academia and …

Optimized seismic hazard and structural vulnerability model considering macroseismic intensity measures

SQ Li, P Gardoni - Reliability Engineering & System Safety, 2024 - Elsevier
Macroseismic intensity measures are fundamental quantitative indicators for evaluating the
vulnerability and resilience of regional building clusters. The vulnerability model of building …

A KDE-based non-parametric cloud approach for efficient seismic fragility estimation of structures under non-stationary excitation

XY Cao, DC Feng, M Beer - Mechanical Systems and Signal Processing, 2023 - Elsevier
With the development of performance-based earthquake engineering, the risk-informed
assessment framework has received broad recognition over the world, of which the …

Slope displacement reliability analysis considering rock parameters spatial variability subjected to stochastic mainshock-aftershock earthquake

R Pang, H Yao, M Xu, Y Zhou - Reliability Engineering & System Safety, 2024 - Elsevier
A new and efficient framework for analyzing the stochastic dynamic response and reliability
of the rock slope was constructed based on the generalized probability density evolution …

Recovery resilience framework of replaceable AB-BRB for seismic strengthening during the aftershock stage

XY Cao, D Shen, K Ji, Z Qu, CL Wang - Thin-Walled Structures, 2024 - Elsevier
Earthquakes cause serious damage to structures, and seismic strengthening is an effective
solution to improving structural capacity. With the development of prefabricated technology …

Measuring resilience in smart infrastructures: A comprehensive review of metrics and methods

A Almaleh - Applied Sciences, 2023 - mdpi.com
In today's world, the safety, economic prosperity, and social well-being of nations depend
heavily on highly interconnected critical infrastructures. These infrastructures encompass …

Efficient seismic fragility analysis method utilizing ground motion clustering and probabilistic machine learning

JY Ding, DC Feng, E Brunesi, F Parisi, G Wu - Engineering Structures, 2023 - Elsevier
Abstract Machine learning (ML) techniques have been recently adopted in engineering
practice to define the relationship between seismic intensity measure (IM) and structural …

Probabilistic resilience assessment framework of structures considering the combined functionality-recovery-duration uncertainty

XY Cao, DC Feng - Mechanical Systems and Signal Processing, 2025 - Elsevier
In the current stage, the risk-guided performance-based earthquake engineering (PBEE)
has become the main direction in the earthquake community. As an important part of risk …

Development of a seismic vulnerability and risk model for typical bridges considering innovative intensity measures

SQ Li, J Zhong - Engineering Structures, 2024 - Elsevier
Seismic intensity measures are one of the core parameters for estimating regional bridges'
seismic risk and vulnerability. Using macroscopic seismic intensity indicators to predict and …

The combined influence of bond–slip and joint-shear in the seismic upgrading via externally-attached BFRP-bar reinforced precast sub-frames

XY Cao, J Shi, JG Xu, E Ji, Y She, Z Wang - Journal of Building …, 2023 - Elsevier
Earthquake causes severe damage to building structures, and seismic upgrading is an
important solution to enhance the capacity of existing buildings. In recent years, the …