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[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 …
Recent advances in reliability analysis of aeroengine rotor system: a review
Purpose To provide valuable information for scholars to grasp the current situations,
hotspots and future development trends of reliability analysis area. Design/methodology …
hotspots and future development trends of reliability analysis area. Design/methodology …
LIF: A new Kriging based learning function and its application to structural reliability analysis
Z Sun, J Wang, R Li, C Tong - Reliability Engineering & System Safety, 2017 - Elsevier
The main task of structural reliability analysis is to estimate failure probability of a studied
structure taking randomness of input variables into account. To consider structural behavior …
structure taking randomness of input variables into account. To consider structural behavior …
A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis
NC **ao, MJ Zuo, C Zhou - Reliability Engineering & System Safety, 2018 - Elsevier
Surrogate models are often used to alleviate the computational burden for structural systems
with expensively time-consuming simulations. In this paper, a new adaptive surrogate model …
with expensively time-consuming simulations. In this paper, a new adaptive surrogate model …
Modeling, analysis, and optimization under uncertainties: a review
Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …
has been an active area of research due to its evident advantages over deterministic design …
[HTML][HTML] A new learning function for Kriging and its applications to solve reliability problems in engineering
Z Lv, Z Lu, P Wang - Computers & Mathematics with Applications, 2015 - Elsevier
In structural reliability, an important challenge is to reduce the number of calling the
performance function, especially a finite element model in engineering problem which …
performance function, especially a finite element model in engineering problem which …
Structural dynamic reliability analysis: review and prospects
D Teng, YW Feng, JY Chen, C Lu - International Journal of Structural …, 2022 - emerald.com
Purpose The purpose of this paper is to briefly summarize and review the theories and
methods of complex structures' dynamic reliability. Complex structures are usually …
methods of complex structures' dynamic reliability. Complex structures are usually …
Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis
This study presents a new method to determine multi-objective optimal cutting conditions
and mathematic models for surface roughness (Ra and Rz) on a CNC turning. Firstly, cutting …
and mathematic models for surface roughness (Ra and Rz) on a CNC turning. Firstly, cutting …
Prediction of IC engine performance and emission parameters using machine learning: A review
The human kind is facing various natural calamities such as Elnino, forest fires, climate
change, etc., due to environmental degradation and pollution. The United Nations has come …
change, etc., due to environmental degradation and pollution. The United Nations has come …
Hyperparameter-optimized multi-fidelity deep neural network model associated with subset simulation for structural reliability analysis
The present study proposes a two-stage Bi-Fidelity Deep Neural Network surrogate model to
quantify the uncertainty of structural analysis using low-fidelity data samples added to the …
quantify the uncertainty of structural analysis using low-fidelity data samples added to the …