Stochastic finite element analysis of shells-Reference-Cited by-同舟云学术

Stochastic finite element analysis of shells

Published:2002-09 Issue:41-42 Volume:191 Page:4781-4804
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Argyris John,Papadrakakis Manolis,Stefanou George

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference16 articles.

1. The TRIC shell element: theoretical and numerical investigation;Argyris;Comput. Meth. Appl. Mech. Engrg.,2000

2. TRIC: a simple but sophisticated 3-node triangular element based on 6 rigid-body and 12 straining modes for fast computational simulations of arbitrary isotropic and laminated composite shells;Argyris;Comput. Meth. Appl. Mech. Engrg.,1997

3. Postbuckling performance of the TRIC natural mode triangular element for isotropic and laminated composite shells;Argyris;Comput. Meth. Appl. Mech. Engrg.,1998

4. A state-of-the-art report on computational stochastic mechanics

5. C.E. Brenner, Stochastic finite element methods, Internal Working Rep. No. 35-91, Institute of Engineering Mechanics, University of Innsbruck, Austria, 1991

Cited by 53 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Non-destructive strength prediction of composite laminates utilizing deep learning and the stochastic finite element methods;Composite Structures;2023-05

2. Reliability analysis and design of randomly imperfect thin cylindrical shells against post-critical drops;Thin-Walled Structures;2023-04

3. Probabilistic failure analysis of quasi-isotropic CFRP structures utilizing the stochastic finite element and the Karhunen–Loève expansion methods;Composites Part B: Engineering;2022-04

4. Efficient high-dimensional material reliability analysis with explicit voxel-level stochastic microstructure representation;Applied Mathematical Modelling;2021-03

5. An nth high order perturbation-based stochastic isogeometric method and implementation for quantifying geometric uncertainty in shell structures;Advances in Engineering Software;2020-10