Computational stochastic structural analysis (COSSAN) – a software tool-Reference-Cited by-同舟云学术

Computational stochastic structural analysis (COSSAN) – a software tool

Published:2006-01 Issue:1-2 Volume:28 Page:68-82
ISSN:0167-4730
Container-title:Structural Safety
language:en
Short-container-title:Structural Safety

Author:

Schuëller G.I.,Pradlwarter H.J.

Funder

Austrian Science Fund

Australian Research Council

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Reference9 articles.

1. Institute of Engineering Mechanics, Leopold-Franzens University, Innsbruck, Austria, EU. COSSAN. Computational stochastic structural analysis, Part B, User’s Manual; 2001.

2. Institute of Engineering Mechanics, Leopold-Franzens University, Innsbruck, Austria, EU. COSSAN. Computational stochastic structural analysis, Part A, User’s Manual; 1996.

3. Institute of Engineering Mechanics, Leopold-Franzens University, Innsbruck, Austria, EU. ISPUD. Importance sampling procedure using desing points, User’s Manual; 1997.

4. Beyond optimization in CAE;Marczyk,2003

5. SDRC Mark Lawry. I-Deas student guide (New Version for I-Deas 10). Mc-Graw Hill Higher Education; 2000.

Cited by 36 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. Resilience-Based Design of Infrastructure: Review of Models, Methodologies, and Computational Tools;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering;2022-03

2. Three Methods in Reliability Assessment of Engineering Structure;International Journal of Engineering and Advanced Technology;2022-02-28

3. Probabilistic Approach to Limit States of a Steel Dome;Materials;2021-09-24

4. Gaussian Process Regression-Based Material Model for Stochastic Structural Analysis;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering;2021-09

5. UQpy: A general purpose Python package and development environment for uncertainty quantification;Journal of Computational Science;2020-11