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Machine learning-based methods in structural reliability analysis: A review
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 …
engineering. However, an accurate SRA in most cases deals with complex and costly …
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 …
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 …
REIF: a novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis
Structural reliability analysis is typically evaluated based on a multivariate function that
describes underlying failure mechanisms of a structural system. It is necessary for a …
describes underlying failure mechanisms of a structural system. It is necessary for a …
AK-MCS: an active learning reliability method combining Kriging and Monte Carlo simulation
B Echard, N Gayton, M Lemaire - Structural safety, 2011 - Elsevier
An important challenge in structural reliability is to keep to a minimum the number of calls to
the numerical models. Engineering problems involve more and more complex computer …
the numerical models. Engineering problems involve more and more complex computer …
Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation
X Huang, J Chen, H Zhu - Structural Safety, 2016 - Elsevier
With complex performance functions and time-demanding computation of structural
responses, the estimation of small failure probabilities is a challenging problem in …
responses, the estimation of small failure probabilities is a challenging problem in …
A combined importance sampling and kriging reliability method for small failure probabilities with time-demanding numerical models
B Echard, N Gayton, M Lemaire, N Relun - Reliability Engineering & …, 2013 - Elsevier
Applying reliability methods to a complex structure is often delicate for two main reasons.
First, such a structure is fortunately designed with codified rules leading to a large safety …
First, such a structure is fortunately designed with codified rules leading to a large safety …
Application of kriging method to structural reliability problems
I Kaymaz - Structural safety, 2005 - Elsevier
Approximation methods are widely used to alleviate the computational burden of
engineering analyses. For structural reliability analyses, the common approach is to use the …
engineering analyses. For structural reliability analyses, the common approach is to use the …
REAK: Reliability analysis through Error rate-based Adaptive Kriging
Z Wang, A Shafieezadeh - Reliability Engineering & System Safety, 2019 - Elsevier
As models in various fields are becoming more complex, associated computational
demands have been increasing significantly. Reliability analysis for these systems when …
demands have been increasing significantly. Reliability analysis for these systems when …
Finite element model updating in structural dynamics by using the response surface method
WX Ren, HB Chen - Engineering structures, 2010 - Elsevier
Fast-running response surface models that approximate multivariate input/output
relationships of time-consuming physical-based computer models enable effective finite …
relationships of time-consuming physical-based computer models enable effective finite …