Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansion
The computational efficiency of random field representations with the Karhunen–Loève (KL)
expansion relies on the solution of a Fredholm integral eigenvalue problem. This …
expansion relies on the solution of a Fredholm integral eigenvalue problem. This …
An examination of methods for approximating implicit limit state functions from the viewpoint of statistical learning theory
JE Hurtado - Structural Safety, 2004 - Elsevier
The reliability analysis of complex structures is hindered by the implicit nature of the limit-
state function. For their approximation use has been made of the Response Surface Method …
state function. For their approximation use has been made of the Response Surface Method …
A novel machine learning-based framework for predicting impact force in ship-bridge pier collisions
The escalating occurrence of ship-pier collisions poses a substantial threat to coastal bridge
infrastructures. To avert such accidents, various specifications have introduced several …
infrastructures. To avert such accidents, various specifications have introduced several …
Reliability analysis using radial basis function networks and support vector machines
X Tan, W Bi, X Hou, W Wang - Computers and Geotechnics, 2011 - Elsevier
To reduce computational costs in structural reliability analysis, utilising approximate
response surface functions for reliability assessment has been suggested. Based on the …
response surface functions for reliability assessment has been suggested. Based on the …
[HTML][HTML] Structural reliability analysis for implicit performance function using radial basis function network
J Deng - International journal of solids and structures, 2006 - Elsevier
This is the second paper of our work on structural reliability analysis for implicit performance
function. The first paper proposed structural reliability analysis methods using multilayer …
function. The first paper proposed structural reliability analysis methods using multilayer …
[图书][B] Uncertainty assessment of large finite element systems
CA Schenk, GI Schuëller - 2005 - books.google.com
The treatment of uncertainties in the analysis of engineering structures remains one of the
premium challenges in modern structural mechanics. It is only in recent years that the …
premium challenges in modern structural mechanics. It is only in recent years that the …
[图书][B] Structural reliability: statistical learning perspectives
JE Hurtado - 2004 - books.google.com
The last decades have witnessed the development of methods for solving struc tural
reliability problems, which emerged from the efforts of numerous re searchers all over the …
reliability problems, which emerged from the efforts of numerous re searchers all over the …
Filtered importance sampling with support vector margin: a powerful method for structural reliability analysis
JE Hurtado - Structural Safety, 2007 - Elsevier
In structural reliability, simulation methods are oriented to the estimation of the probability
integral over the failure domain, while solver-surrogate methods are intended to …
integral over the failure domain, while solver-surrogate methods are intended to …
Classification approach for reliability analysis with stochastic finite-element modeling
JE Hurtado, DA Alvarez - Journal of Structural Engineering, 2003 - ascelibrary.org
The assessment of the reliability of structural systems is increasingly being estimated with
regard to the spatial fluctuation of the mechanical properties as well as loads. This leads to a …
regard to the spatial fluctuation of the mechanical properties as well as loads. This leads to a …
A multiwavelet neural network‐based response surface method for structural reliability analysis
A new multiwavelet neural network‐based response surface method is proposed for efficient
structural reliability assessment. Although multiwavelet network can be used for …
structural reliability assessment. Although multiwavelet network can be used for …