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September  2011, 1(3): 391-411. doi: 10.3934/mcrf.2011.1.391

Coefficient identification and fault detection in linear elastic systems; one dimensional problems

David L. Russell 1,

1. 

Department of Mathematics, 460 McBryde Hall, Virginia Tech, Blacksburg, VA 24060, United States

Received  November 2010 Revised  January 2011 Published  September 2011

The determination of parameter distributions, including fault detection, in elastic structures is a subject of great importance in structural engineering and related areas of applied mathematics. In this article we explore, in both continuous and discrete settings, some methods for approximate solution of such identification problems in a one dimensional linear elasticity framework. Methods for related optimization problems based on the matrix trace norm are described. The main objective of the paper is to introduce a method, believed new with this article, for which we suggest the names adjoint null space method or complementary projection method. Computational results for sample problems based on this technique are presented.
Keywords: linear elastic systems., Parameter identification, inverse problems.
Mathematics Subject Classification: Primary: 65L09; Secondary: 74B05, 74G7.
Citation: David L. Russell. Coefficient identification and fault detection in linear elastic systems; one dimensional problems. Mathematical Control & Related Fields, 2011, 1 (3) : 391-411. doi: 10.3934/mcrf.2011.1.391
References:
[1]

A. I. Artjukh and N. V. Banichuk, Application of optimization methods to identification problems,, in, (1993), 5.   Google Scholar

[2]

N. V. Banichuk, Optimization formulation and decomposition of the problem of the identification of the distributed parameters of elastic constructions,, (Russian) Dokl. Akad. Nauk, 367 (1999), 48.   Google Scholar

[3]

H. T. Banks and K. Kunisch, "Estimation Techniques for Distributed Parameter Systems,", Syst. & Contr: Found. and Appl., 1 (1989).   Google Scholar

[4]

H. T. Banks, R. H. Fabiano and K. Ito, eds., "Identification and Control in Systems Governed by Partial Differential Equations,", Proc. AMS-IMS-SIAM Joint Sumr. Res. Conf. on Control and Identification of Partial Differential Equations, (1992).   Google Scholar

[5]

T. Feng, N. Yan and W. Liu, Adaptive finite element methods for the identification of distributed parameters in elliptic equation,, Adv. Comput. Math., 29 (2008), 27.  doi: 10.1007/s10444-007-9035-6.  Google Scholar

[6]

P. R. Gill, W. Murray and M. H. Wright, The Levenberg-Marquardt Method,, S 4.7.3, (1981), 136.   Google Scholar

[7]

T. T. Marinov, R. S. Marinova and C. I. Christov, Coefficient identification in elliptic partial differential equation,, in, 3743 (2006), 372.   Google Scholar

[8]

Z. Mróz and G. E. Stavroulakis, "Parameter Identification of Materials and Structures,", Springer Verlag, (2005).   Google Scholar

[9]

D. L. Russell, Structural parameter optimization in linear elastic systems,, Commun. Pure & Appl. Anal., 10 (2011), 1517.   Google Scholar

[10]

D. L. Russell, Gauss-Newton and inverse Gauss-Newton methods for coefficient identification in linear elastic systems,, to appear in Acta Applicandae Mathematicae., ().   Google Scholar

[11]

D. L. Russell, Some methods for parameter identification in Elliptic Systems,, to appear., ().   Google Scholar

[12]

J. Schoukens and R. Pintelon, "Identification of Linear Systems. A Practical Guideline to Accurate Modeling,", Pergamon Press, (1991).   Google Scholar

[13]

U. Tautenhahn, A fast iterative method for solving regularized parameter identification problems in elliptic boundary value problem,, Computing, 43 (1989), 47.  doi: 10.1007/BF02243805.  Google Scholar

show all references

References:
[1]

A. I. Artjukh and N. V. Banichuk, Application of optimization methods to identification problems,, in, (1993), 5.   Google Scholar

[2]

N. V. Banichuk, Optimization formulation and decomposition of the problem of the identification of the distributed parameters of elastic constructions,, (Russian) Dokl. Akad. Nauk, 367 (1999), 48.   Google Scholar

[3]

H. T. Banks and K. Kunisch, "Estimation Techniques for Distributed Parameter Systems,", Syst. & Contr: Found. and Appl., 1 (1989).   Google Scholar

[4]

H. T. Banks, R. H. Fabiano and K. Ito, eds., "Identification and Control in Systems Governed by Partial Differential Equations,", Proc. AMS-IMS-SIAM Joint Sumr. Res. Conf. on Control and Identification of Partial Differential Equations, (1992).   Google Scholar

[5]

T. Feng, N. Yan and W. Liu, Adaptive finite element methods for the identification of distributed parameters in elliptic equation,, Adv. Comput. Math., 29 (2008), 27.  doi: 10.1007/s10444-007-9035-6.  Google Scholar

[6]

P. R. Gill, W. Murray and M. H. Wright, The Levenberg-Marquardt Method,, S 4.7.3, (1981), 136.   Google Scholar

[7]

T. T. Marinov, R. S. Marinova and C. I. Christov, Coefficient identification in elliptic partial differential equation,, in, 3743 (2006), 372.   Google Scholar

[8]

Z. Mróz and G. E. Stavroulakis, "Parameter Identification of Materials and Structures,", Springer Verlag, (2005).   Google Scholar

[9]

D. L. Russell, Structural parameter optimization in linear elastic systems,, Commun. Pure & Appl. Anal., 10 (2011), 1517.   Google Scholar

[10]

D. L. Russell, Gauss-Newton and inverse Gauss-Newton methods for coefficient identification in linear elastic systems,, to appear in Acta Applicandae Mathematicae., ().   Google Scholar

[11]

D. L. Russell, Some methods for parameter identification in Elliptic Systems,, to appear., ().   Google Scholar

[12]

J. Schoukens and R. Pintelon, "Identification of Linear Systems. A Practical Guideline to Accurate Modeling,", Pergamon Press, (1991).   Google Scholar

[13]

U. Tautenhahn, A fast iterative method for solving regularized parameter identification problems in elliptic boundary value problem,, Computing, 43 (1989), 47.  doi: 10.1007/BF02243805.  Google Scholar

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