Consistent seismic hazard and fragility analysis considering combined capacity-demand uncertainties via probability density evolution method

XY Cao, DC Feng, M Beer - Structural Safety, 2023 - Elsevier
A consistent seismic hazard and fragility framework considering combined capacity-demand
uncertainties is proposed, in light of the probability density evolution method (PDEM). The …

Seismic time-history response and system reliability analysis of slopes considering uncertainty of multi-parameters and earthquake excitations

R Pang, B Xu, Y Zhou, L Song - Computers and Geotechnics, 2021 - Elsevier
In practical geotechnical engineering of slopes, it is well-known that the uncertainty of soil
properties and ground motions need to be considered for the safety of the project. The effect …

Direct probability integral method for stochastic response analysis of static and dynamic structural systems

G Chen, D Yang - Computer Methods in Applied Mechanics and …, 2019 - Elsevier
This paper proposes a unified and efficient direct probability integral method (DPIM) to
calculate the probability density function (PDF) of responses for linear and nonlinear …

A decoupled approach for determination of the joint probability density function of a high-dimensional nonlinear stochastic dynamical system via the probability density …

MZ Lyu, DC Feng, JB Chen, J Li - Computer Methods in Applied Mechanics …, 2024 - Elsevier
The joint probability density function (PDF) of multiple response processes of a system is a
crucial topic in the fields of science and engineering. It is adopted to describe the dependent …

An enhanced PDEM-based framework for reliability analysis of structures considering multiple failure modes and limit states

DC Feng, XY Cao, M Beer - Probabilistic Engineering Mechanics, 2022 - Elsevier
In this paper, an enhanced probability density evolution method (PDEM) framework
considering multiple failure modes and limit states is proposed for reliability analysis of …

Reliability assessment of stochastic dynamical systems using physics informed neural network based PDEM

S Das, S Tesfamariam - Reliability Engineering & System Safety, 2024 - Elsevier
In the recent decade, the reliability analysis of a stochastic system coupled with the
uncertainty related to the system's parameter has attracted much attention. Probability …

Neural network-aided simulation of non-Gaussian stochastic processes

Y Li, J Xu - Reliability Engineering & System Safety, 2024 - Elsevier
Simulation of non-Gaussian stochastic processes is of paramount importance to dynamic
reliability assessment of structures driven by non-Gaussian loads. In this paper, a novel …

Reliability analysis of RC slab-column joints under punching shear load using a machine learning-based surrogate model

L Shen, Y Shen, S Liang - Buildings, 2022 - mdpi.com
Reinforced concrete slab-column structures, despite their advantages such as architectural
flexibility and easy construction, are susceptible to punching shear failure. In addition …

A mixture distribution with fractional moments for efficient seismic reliability analysis of nonlinear structures

C Dang, J Xu - Engineering Structures, 2020 - Elsevier
In this paper, an efficient approach is proposed for seismic reliability analysis of nonlinear
structures with random parameters subjected to non-stationary stochastic ground motions …

Dynamic response and reliability analyses of non-linear structures driven by non-stationary non-Gaussian stochastic ground motions

J Xu, Y Li, J Mao, Z Yu, S Tan - Engineering Structures, 2022 - Elsevier
In this paper, stochastic dynamic response and reliability assessment of non-linear
structures driven by non-stationary non-Gaussian ground motions are investigated. First, the …