PINN-FORM: a new physics-informed neural network for reliability analysis with partial differential equation
The first-order reliability method (FORM) is commonly used in the field of structural reliability
analysis, which transforms the reliability analysis problem into the solution of an optimization …
analysis, which transforms the reliability analysis problem into the solution of an optimization …
Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis
The accurate estimations of the failure probability with low-computational burden play a vital
role in structural reliability analyses. Due to high-calculation cost and time-consuming Monte …
role in structural reliability analyses. Due to high-calculation cost and time-consuming Monte …
Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches
Computing the sensitivity vector in the traditional first order reliability method may provide
inaccurate reliability outcomes for discrete performance functions and inefficient …
inaccurate reliability outcomes for discrete performance functions and inefficient …
A systematic review of structural reliability methods for deformation and fatigue analysis of offshore jacket structures
This paper presents the state of the art in Structural Reliability Analysis (SRA) methods with
a view of identifying key applications of each method and its proposed variations, qualifying …
a view of identifying key applications of each method and its proposed variations, qualifying …
A comparative study of metaheuristic algorithms for reliability-based design optimization problems
The ever-increasing demands for resource-saving, engineering technology progress, and
environmental protection stimulate the progress of the progressive design method. As an …
environmental protection stimulate the progress of the progressive design method. As an …
[HTML][HTML] Multidisciplinary design for structural integrity using a collaborative optimization method based on adaptive surrogate modelling
As one of the multidisciplinary design optimization methods, the collaborative optimization
(CO) can enjoy a high degree of discipline autonomy. It has received extensive attention and …
(CO) can enjoy a high degree of discipline autonomy. It has received extensive attention and …
New efficient and robust method for structural reliability analysis and its application in reliability-based design optimization
Due to its advantages of simplicity and high efficiency, Hasofer–Lind and Rackwitz–Fiessler
(HL–RF) method is widely used in structural reliability analysis. However, it may encounter …
(HL–RF) method is widely used in structural reliability analysis. However, it may encounter …
A general failure-pursuing sampling framework for surrogate-based reliability analysis
Abstract Design of experiment and active learning strategy are vital for the surrogate-based
reliability analysis. However, the existing sampling and modeling methods usually ignore …
reliability analysis. However, the existing sampling and modeling methods usually ignore …
Novel probabilistic model for searching most probable point in structural reliability analysis
Abstract The Most Probable Point (MPP) is typically searched by transforming the basic
random variables from original to standard normal space in the traditional first order …
random variables from original to standard normal space in the traditional first order …
A novel surrogate-model based active learning method for structural reliability analysis
L Hong, H Li, J Fu - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
The surrogate-model based active learning method has a satisfactory trade-off between
efficiency and accuracy, which has been widely used in reliability analysis. In this paper, an …
efficiency and accuracy, which has been widely used in reliability analysis. In this paper, an …