Machine learning-based methods in structural reliability analysis: A review

SS Afshari, F Enayatollahi, X Xu, X Liang - Reliability Engineering & System …, 2022 - Elsevier
Structural Reliability analysis (SRA) is one of the prominent fields in civil and mechanical
engineering. However, an accurate SRA in most cases deals with complex and costly …

Recent advances and applications of surrogate models for finite element method computations: a review

J Kudela, R Matousek - Soft Computing, 2022 - Springer
The utilization of surrogate models to approximate complex systems has recently gained
increased popularity. Because of their capability to deal with black-box problems and lower …

Machine learning regression approaches for predicting the ultimate buckling load of variable-stiffness composite cylinders

A Kaveh, A Dadras Eslamlou, SM Javadi… - Acta Mechanica, 2021 - Springer
Due to the high computational cost of finite element analyses, particularly in optimization
tasks, establishing a high-fidelity surrogate model is of immense importance to engineers …

Enhanced Kriging leave-one-out cross-validation in improving model estimation and optimization

Y Pang, Y Wang, X Lai, S Zhang, P Liang… - Computer Methods in …, 2023 - Elsevier
Leave-one-out cross-validation (LOOCV) is a widely used technique in model estimation
and selection of the Kriging surrogate model for engineering problems, such as structural …

A review on stochastic multiscale analysis for FRP composite structures

XY Zhou, SY Qian, NW Wang, W Xiong, WQ Wu - Composite Structures, 2022 - Elsevier
Fibre reinforced polymer (FRP) composites have been increasingly applied in engineering
structures especially for achieving high demands on structural performance, but they are …

Two accuracy measures of the Kriging model for structural reliability analysis

W Jian, S Zhili, Y Qiang, L Rui - Reliability Engineering & System Safety, 2017 - Elsevier
The Kriging model for structural reliability analysis applications has attracted much attention
within recent years. Several Kriging-based strategies of design of experiments are …

Reliability and sensitivity analysis of composite structures by an adaptive Kriging based approach

C Zhou, C Li, H Zhang, H Zhao, C Zhou - Composite Structures, 2021 - Elsevier
Uncertainties widely existing in composite structures make the reliability and sensitivity
analysis highly necessary. In this work, the approach based on adaptive Kriging is …

Uncertainty quantization and reliability analysis for rotor/stator rub-impact using advanced Kriging surrogate model

X Ma, Z Zhang, H Hua - Journal of Sound and Vibration, 2022 - Elsevier
This study provides new insights into the uncertainty quantification and reliability analysis of
a flexible rotor system undergoing rub-impact. A probabilistic nonlinear formulation is …

Reliability-based design optimization of crane bridges using Kriging-based surrogate models

X Fan, P Wang, FF Hao - Structural and Multidisciplinary Optimization, 2019 - Springer
Cranes as indispensable and important hoisting machines of modern manufacturing and
logistics systems have been wildly used in factories, mines, and custom ports. For crane …

A novel active learning method for profust reliability analysis based on the Kriging model

X Yang, X Cheng, Z Liu, T Wang - Engineering with Computers, 2022 - Springer
Profust reliability analysis, in which the failure state of a load-bearing structure is assumed to
be fuzzy, is investigated in this paper. A novel active learning method based on the Kriging …