Please use this identifier to cite or link to this item:
Title: Inverse identification of thermal parameters using reduced-basis method
Authors: Liu, G.R. 
Lee, J.H.
Patera, A.T.
Yang, Z.L.
Lam, K.Y. 
Keywords: Genetic algorithm
Inverse analysis
Inverse problems
Microelectronic package
Online analysis
Parameter identification
Reduced-basis method
Issue Date: 22-Jul-2005
Citation: Liu, G.R., Lee, J.H., Patera, A.T., Yang, Z.L., Lam, K.Y. (2005-07-22). Inverse identification of thermal parameters using reduced-basis method. Computer Methods in Applied Mechanics and Engineering 194 (27-29) : 3090-3107. ScholarBank@NUS Repository.
Abstract: A novel computational method is presented to inversely identify heat convection constants for complex engineering systems. A reduced-basis approach is developed as a forward solver for heat transfer analysis in order to significantly reduce the computational complexity in each forward analysis, which is crucial for the inverse analysis of complex systems. An intergeneration-projection genetic-algorithm (IP-GA) is introduced as the inverse procedure to speed up the process of finding the desired global minimum of the fitness function of error that leads to the parameters to be identified. As an example, identification of the heat convection constants of a typical microelectronic package are performed using the present method and the performance is examined comparing with other inverse identification methods. It is found that the reduced-basis method combined with the IP-GA significantly outperforms the conventional methods. The proposed inverse identification method is efficient enough even for online analysis of inverse problems due to both the use of the reduced-basis approach and the present inverse procedure. © 2004 Elsevier B.V. All rights reserved.
Source Title: Computer Methods in Applied Mechanics and Engineering
ISSN: 00457825
DOI: 10.1016/j.cma.2004.08.003
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Jun 8, 2021


checked on Jun 8, 2021

Page view(s)

checked on Jun 10, 2021

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.