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The stochastic finite element method: past, present and future
G Stefanou - Computer methods in applied mechanics and …, 2009 - Elsevier
A powerful tool in computational stochastic mechanics is the stochastic finite element
method (SFEM). SFEM is an extension of the classical deterministic FE approach to the …
method (SFEM). SFEM is an extension of the classical deterministic FE approach to the …
Reliability analysis—a review and some perspectives
R Rackwitz - Structural safety, 2001 - Elsevier
Theory and methods of structural reliability are briefly summarized and reviewed, both in
original and standard space. Some extreme examples demonstrate where and why these …
original and standard space. Some extreme examples demonstrate where and why these …
[BOEK][B] Structural reliability analysis and prediction
RE Melchers, AT Beck - 2018 - books.google.com
Structural Reliability Analysis and Prediction, Third Edition is a textbook which addresses
the important issue of predicting the safety of structures at the design stage and also the …
the important issue of predicting the safety of structures at the design stage and also the …
Optimal discretization of random fields
CC Li, A Der Kiureghian - Journal of engineering mechanics, 1993 - ascelibrary.org
A new method for efficient discretization of random fields (ie, their representation in terms of
random variables) is introduced. The efficiency of the discretization is measured by the …
random variables) is introduced. The efficiency of the discretization is measured by the …
Random vibration of mechanical and structural systems
TT Soong, M Grigoriu - Nasa Sti/recon Technical Report A, 1993 - ui.adsabs.harvard.edu
This book addresses random vibration of mechanical and structural systems commonly
encountered in aerospace, mechanical, and civil engineering. Techniques are examined for …
encountered in aerospace, mechanical, and civil engineering. Techniques are examined for …
Nonlinear vibration models for extremes and fatigue
SR Win t´ erstein - Journal of Engineering Mechanics, 1988 - ascelibrary.org
Hermite moment models of nonlinear random vibration are formulated. These models use
response moments (skewness, kurtosis, etc.) to form non-Gaussian contributions, made …
response moments (skewness, kurtosis, etc.) to form non-Gaussian contributions, made …
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 …
Digital generation of non-Gaussian stochastic fields
A method by which sample fields of a multidimensional non-Gaussian homogeneous
stochastic field can be generated is developed. The method first generates Gaussian …
stochastic field can be generated is developed. The method first generates Gaussian …
The extreme value distribution and dynamic reliability analysis of nonlinear structures with uncertain parameters
A new approach for evaluation of the extreme value distribution and dynamic reliability
assessment of nonlinear structures with uncertain parameters is proposed. The approach is …
assessment of nonlinear structures with uncertain parameters is proposed. The approach is …
Random fields and stochastic finite elements
E Vanmarcke, M Shinozuka, S Nakagiri, GI Schueller… - Structural safety, 1986 - Elsevier
This state of the art paper identifies as the distinguishing feature of stochastic finite element
analysis that it involves the discretization of the parameter space of a random field of …
analysis that it involves the discretization of the parameter space of a random field of …