1-Norm-based regularization scheme for system identification of structures with discontinuous system parameters

This paper presents a new class of regularization functions and the associated regularization scheme for structural system identification. In particular, 1‐norm regularization functions are investigated to overcome the smearing effect of 2‐norm regularization functions for the identification of disc...

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Veröffentlicht in:International journal for numerical methods in engineering 2007-01, Vol.69 (3), p.504-523
Hauptverfasser: Park, Hyun Woo, Park, Man Woo, Ahn, Byeong Kyu, Lee, Hae Sung
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container_issue 3
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container_title International journal for numerical methods in engineering
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creator Park, Hyun Woo
Park, Man Woo
Ahn, Byeong Kyu
Lee, Hae Sung
description This paper presents a new class of regularization functions and the associated regularization scheme for structural system identification. In particular, 1‐norm regularization functions are investigated to overcome the smearing effect of 2‐norm regularization functions for the identification of discontinuous system parameters of structures. The truncated singular value decomposition is employed to filter out noise‐polluted solution components and to impose the 1‐norm regularization function on SI. The bilinear fitting method is proposed for selecting an optimal truncation number of the truncated singular value decomposition. The validity of the proposed method is demonstrated through the identification of an inclusion in a square plate and damaged members in a two‐span truss. Copyright © 2006 John Wiley & Sons, Ltd.
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J. Numer. Meth. Engng</addtitle><date>2007-01-15</date><risdate>2007</risdate><volume>69</volume><issue>3</issue><spage>504</spage><epage>523</epage><pages>504-523</pages><issn>0029-5981</issn><eissn>1097-0207</eissn><coden>IJNMBH</coden><abstract>This paper presents a new class of regularization functions and the associated regularization scheme for structural system identification. In particular, 1‐norm regularization functions are investigated to overcome the smearing effect of 2‐norm regularization functions for the identification of discontinuous system parameters of structures. The truncated singular value decomposition is employed to filter out noise‐polluted solution components and to impose the 1‐norm regularization function on SI. The bilinear fitting method is proposed for selecting an optimal truncation number of the truncated singular value decomposition. 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subjects 1-norm regularization function
2-norm regularization function
bilinear fitting method
Computational techniques
Decomposition
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Mathematical analysis
Mathematical methods in physics
Mathematical models
Measurement and testing methods
optimal truncation number
Optimization
Physics
Regularization
regularization scheme
Solid mechanics
Square plates
Static elasticity (thermoelasticity...)
Structural and continuum mechanics
System identification
Trusses
title 1-Norm-based regularization scheme for system identification of structures with discontinuous system parameters
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