J044043 A Method of Structural Reliability Analysis Based on a Directional Importance Sampling Simulation : A Determination Method of Pseudo Directional Importance Sampling Probability Densities Weighted in the Direction of the Design Points

Probability Densities ◽

Sampling Probability

An Efficient Method of Structural Reliability Analysis Based on a Directional Importance Sampling Simulation (A Determination of Equivalent Directional Importance Sampling Probability Densities Weighted in the Direction of the Design Points)

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A ◽

10.1299/kikaia.79.609 ◽

2013 ◽

Vol 79 (801) ◽

pp. 609-619 ◽

Cited By ~ 1

Author(s):

Shoya OKUDA ◽

Hiroaki KOBAYASI ◽

Masaaki YONEZAWA

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Efficient Method ◽

Structural Reliability ◽

Probability Densities ◽

Sampling Probability

Approximate Importance Sampling Approach Based on DSmT in Structural Reliability Analysis

Design, Construction, Rehabilitation, and Maintenance of Bridges ◽

10.1061/47630(409)6 ◽

2011 ◽

Author(s):

Donghua Chen ◽

Bohai Ji

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Structural Reliability ◽

Sampling Approach

An adaptive directional importance sampling method for structural reliability analysis

Structural Safety ◽

10.1016/j.strusafe.2017.07.006 ◽

2018 ◽

Vol 70 ◽

pp. 14-20 ◽

Cited By ~ 15

Author(s):

Mohsen Ali Shayanfar ◽

Mohammad Ali Barkhordari ◽

Moien Barkhori ◽

Mohammad Barkhori

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Structural Reliability ◽

Sampling Method ◽

Importance Sampling Method

A study of all quadrants initial points setting method for design points search using RF algorithm (An efficient method of structural reliability analysis based on a multiple importance sampling simulation)

Transactions of the JSME (in Japanese) ◽

10.1299/transjsme.17-00172 ◽

2018 ◽

Vol 84 (857) ◽

pp. 17-00172-17-00172

Author(s):

Shoya OKUDA ◽

Masaaki YONEZAWA

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Efficient Method ◽

Structural Reliability ◽

Multiple Importance Sampling ◽

Observations on applications of importance sampling in structural reliability analysis

Structural Safety ◽

10.1016/0167-4730(91)90049-f ◽

1991 ◽

Vol 9 (4) ◽

pp. 269-281 ◽

Cited By ~ 52

Author(s):

Yaacob Ibrahim

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Structural Reliability ◽

Efficient structural reliability analysis by using a PGD model in an adaptive importance sampling schema

Advanced Modeling and Simulation in Engineering Sciences ◽

10.1186/s40323-020-00168-z ◽

2020 ◽

Vol 7 (1) ◽

Author(s):

Annika Robens-Radermacher ◽

Jörg F. Unger

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Structural Reliability ◽

Adaptive Importance Sampling ◽

Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018) ◽

A Hybrid Algorithm Combining Kriging Model and Importance Sampling for Structural Reliability Analysis

10.2991/acaai-18.2018.48 ◽

2018 ◽

Cited By ~ 1

Author(s):

Juan Wang ◽

Yizhong Ma

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Hybrid Algorithm ◽

Structural Reliability ◽

Kriging Model ◽

Structural Reliability Analysis with Conditional Importance Sampling Method Based on the Law of Total Expectation and Variance in Subintervals

Journal of Engineering Mechanics ◽

10.1061/(asce)em.1943-7889.0001695 ◽

2020 ◽

Vol 146 (1) ◽

pp. 04019111 ◽

Cited By ~ 1

Author(s):

Sinan Xiao ◽

Zhenzhou Lu

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Structural Reliability ◽

Sampling Method ◽

Importance Sampling Method ◽

The Law

Metamodel-based importance sampling for structural reliability analysis

Probabilistic Engineering Mechanics ◽

10.1016/j.probengmech.2013.02.002 ◽

2013 ◽

Vol 33 ◽

pp. 47-57 ◽

Cited By ~ 229

Author(s):

V. Dubourg ◽

B. Sudret ◽

F. Deheeger

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Structural Reliability ◽

Filtered importance sampling with support vector margin: A powerful method for structural reliability analysis

Structural Safety ◽

10.1016/j.strusafe.2005.12.002 ◽

2007 ◽

Vol 29 (1) ◽

pp. 2-15 ◽

Cited By ~ 72

Author(s):

Jorge E. Hurtado

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Structural Reliability ◽

Support Vector ◽

Powerful Method ◽