Support vector machine in structural reliability analysis: A review
Support vector machine (SVM) is a powerful machine learning technique relying on the
structural risk minimization principle. The applications of SVM in structural reliability analysis …
structural risk minimization principle. The applications of SVM in structural reliability analysis …
[HTML][HTML] Adaptive approaches in metamodel-based reliability analysis: A review
The present work reviews the implementation of adaptive metamodeling for reliability
analysis with emphasis in four main types of metamodels: response surfaces, polynomial …
analysis with emphasis in four main types of metamodels: response surfaces, polynomial …
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 new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis
NC ** criterion for structural reliability analysis
The reliability analysis of complex structures usually involves implicit performance function
and expensive-to-evaluate computational models, which pose a great challenge for the …
and expensive-to-evaluate computational models, which pose a great challenge for the …
A unified analysis framework of static and dynamic structural reliabilities based on direct probability integral method
G Chen, D Yang - Mechanical Systems and Signal Processing, 2021 - Elsevier
Generally, the static and dynamic reliabilities of structures are addressed separately in the
existing methods except the computationally expensive stochastic sampling-based …
existing methods except the computationally expensive stochastic sampling-based …
Moving extremum surrogate modeling strategy for dynamic reliability estimation of turbine blisk with multi-physics fields
C Lu, CW Fei, HT Liu, H Li, LQ An - Aerospace Science and Technology, 2020 - Elsevier
To improve the dynamic reliability analysis of complex structures like turbine blisk, moving
extremum surrogate modeling strategy (MESMS) is proposed in respect of multi-physics …
extremum surrogate modeling strategy (MESMS) is proposed in respect of multi-physics …
Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model
D Meng, S Yang, Y Zhang… - Fatigue & Fracture of …, 2019 - Wiley Online Library
In power and energy systems, both the aerodynamic performance and the structure
reliability of turbine equipment are affected by utilized blades. In general, the design process …
reliability of turbine equipment are affected by utilized blades. In general, the design process …
Multi-extremum-modified response basis model for nonlinear response prediction of dynamic turbine blisk
For the nonlinear dynamic analyses of complex mechanical components, it is necessary to
apply efficient modeling framework to reduce computational burden. The accurate surrogate …
apply efficient modeling framework to reduce computational burden. The accurate surrogate …
Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures
Support vector regression (SVR) based metamodel is a powerful mean to alleviate
computational challenge of Monte Carlo simulation (MCS) based reliability analysis of …
computational challenge of Monte Carlo simulation (MCS) based reliability analysis of …