Computational Technology Resources - CCP

, "A Time-Space-Parameters Proper Generalised Decomposition Approach for Nonlinear Computational Mechanics", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 171, 2014. doi:10.4203/ccp.106.171

Keywords: nonlinear problems, proper generalised decomposition, reduced order basis, parametric problems, LATIN method, reduced order modelling..

Summary

The cost associated with the resolution of parametric problems can be extremely prohibitive. Model reduction techniques are a good answer to circumvent this issue. This paper provides the first developments of an algorithm for solving nonlinear parametric problems, based on the LATIN method for the treatment of the nonlinear aspects and the proper generalised decomposition for the parameter dependency. A full time-space- parameter decomposition of the solution is introduced into the LATIN algorithm, and numerical examples of academic problems are given so as to point out the advantages and the limits of this extension. This paper concludes by giving directions for possible improvements to the strategy.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £65 +P&P)

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 106 PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: Paper 171 A Time-Space-Parameters Proper Generalised Decomposition Approach for Nonlinear Computational Mechanics M. Vitse, D. Néron and P.-A. Boucard LMT-Cachan, ENS Cachan, CNRS, PRES UniverSud Paris, France doi:10.4203/ccp.106.171 purchase the full-text of this paper Full Bibliographic Reference for this paper , "A Time-Space-Parameters Proper Generalised Decomposition Approach for Nonlinear Computational Mechanics", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 171, 2014. doi:10.4203/ccp.106.171 Keywords: nonlinear problems, proper generalised decomposition, reduced order basis, parametric problems, LATIN method, reduced order modelling.. Summary The cost associated with the resolution of parametric problems can be extremely prohibitive. Model reduction techniques are a good answer to circumvent this issue. This paper provides the first developments of an algorithm for solving nonlinear parametric problems, based on the LATIN method for the treatment of the nonlinear aspects and the proper generalised decomposition for the parameter dependency. A full time-space- parameter decomposition of the solution is introduced into the LATIN algorithm, and numerical examples of academic problems are given so as to point out the advantages and the limits of this extension. This paper concludes by giving directions for possible improvements to the strategy. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
Back to top	©Civil-Comp Limited 2023 - terms & conditions