Solving fully-coupled non-linear hygro-thermo-mechanical problems relative to the behavior of concrete at high temperatures is nowadays a very interesting and challenging computational problem. These models require an extensive use of computational resources, such as main memory and computational time, due to the great number of variables and the numerical characteristics of the coefficients of the linear systems involved. In this paper a number of different variants of a frontal solver used within HITECOSP, an application developed within the BRITE Euram III “HITECO” EU project, to solve multiphase porous media problems, are presented, evaluated and compared with respect to their numerical accuracy and performance. The final result of this activity is a new solver which is both much faster and more accurate than the original one. Specifically, the code runs over 5 times faster and numerical errors are reduced of up to three order of magnitude.

An accurate and efficient frontal solver for fully-coupled hygro-thermo-mechanical problems

BIANCO, MAURO;BILARDI, GIANFRANCO;PESAVENTO, FRANCESCO;PUCCI, GEPPINO;
2002

Abstract

Solving fully-coupled non-linear hygro-thermo-mechanical problems relative to the behavior of concrete at high temperatures is nowadays a very interesting and challenging computational problem. These models require an extensive use of computational resources, such as main memory and computational time, due to the great number of variables and the numerical characteristics of the coefficients of the linear systems involved. In this paper a number of different variants of a frontal solver used within HITECOSP, an application developed within the BRITE Euram III “HITECO” EU project, to solve multiphase porous media problems, are presented, evaluated and compared with respect to their numerical accuracy and performance. The final result of this activity is a new solver which is both much faster and more accurate than the original one. Specifically, the code runs over 5 times faster and numerical errors are reduced of up to three order of magnitude.
2002
Proceedings of the International Conference on Computational Science 2002
9783540435914
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/1481520
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