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Journal of Inverse and Ill-posed Problems

Editor-in-Chief: Kabanikhin, Sergey I.


IMPACT FACTOR 2017: 0.941
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Source Normalized Impact per Paper (SNIP) 2017: 1.022

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Online
ISSN
1569-3945
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Volume 23, Issue 1

Issues

Identification of an unknown spatial load distribution in a vibrating cantilevered beam from final overdetermination

Alemdar Hasanov / Onur Baysal
Published Online: 2014-04-18 | DOI: https://doi.org/10.1515/jiip-2014-0010

Abstract

The inverse problem of determining the unknown spatial load distribution F(x) in the cantilever beam equation m(x)utt = -(EI(x)uxx)xx + F(x)H(t), with arbitrary but separable source term, from the measured data uT(x) := u(x,T), x ∈ (0,l), at the final time T > 0 is considered. Some a priori estimates of the weak solution uH°2,1T) of the forward problem are obtained. Introducing the input-output map, it is proved that this map is a compact operator. The adjoint problem approach is then used to derive an explicit gradient formula for the Fréchet derivative of the cost functional J(F) = ∥ u(·,T;F) - uT(·) ∥L2(0,l)2. The Lipschitz continuity of the gradient is proved. The collocation algorithm combined with the truncated singular value decomposition (TSVD) is used to estimate the degree of ill-posedness of the considered inverse source problem. The conjugate gradient algorithm (CGA), based on the explicit gradient formula, is proposed for numerical solution of the inverse problem. The algorithm is examined through numerical examples related to reconstruction of various spatial loading distributions F(x). The numerical results illustrate bounds of applicability of proposed algorithm, also its efficiency and accuracy.

Keywords: Inverse source problem; unknown spatial load distribution; final-time measured data; gradient formula; conjugate gradient method

MSC: 35R30; 73D50

About the article

Received: 2014-02-03

Accepted: 2014-04-07

Published Online: 2014-04-18

Published in Print: 2015-02-01


Citation Information: Journal of Inverse and Ill-posed Problems, Volume 23, Issue 1, Pages 85–102, ISSN (Online) 1569-3945, ISSN (Print) 0928-0219, DOI: https://doi.org/10.1515/jiip-2014-0010.

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