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L. Mujica



Recent publications
1.  Kołakowski P., Mujica L.E., Vehi J., Two approaches to structural damage identification: model updating vs. soft computing, JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, ISSN: 1045-389X, DOI: 10.1177/1045389X06056073, Vol.17, No.1, pp.63-79, 2006

Abstract:
This article presents two approaches for structural damage identification, each based on a different philosophy. The virtual distortion method (VDM) is a model-updating method of damage assessment, utilizing gradient-based optimization techniques to solve the resulting inverse dynamic problem in the time domain. Case-based reasoning (CBR) is a softcomputing method utilizing wavelet transformation for signal processing and neural networks for training a base of damage cases to use for retrieving a similar relevant case. Advantages and drawbacks of each approach are discussed. Successful calibration of a numerical model from experiments has been shown as a sin equa non for the VDM approach. A numerical example of a beam is presented including a demonstration of the complexity of the inverse problem. Qualitative and quantitative comparisons between the two approaches are made.

Keywords:
damage identification, inverse problem, model updating, soft computing, software tools

Affiliations:
Kołakowski P. - IPPT PAN
Mujica L.E. - other affiliation
Vehi J. - other affiliation
2.  Mujica L.E., Vehi J., Rodellar J., Kołakowski P., A hybrid approach of knowledge-based reasoning for structural assessment, SMART MATERIALS AND STRUCTURES, ISSN: 0964-1726, Vol.14, No.6, pp.1554-1562, 2005
3.  Kołakowski P., Mujica L., Vehi J., Comparison of two software tools for damage identification: gradient-based vs. case-based approach, KEY ENGINEERING MATERIALS, ISSN: 1662-9795, DOI: 10.4028/www.scientific.net/KEM.293-294.103, Vol.293-294, pp.103-110, 2005

Abstract:
Two alternative software tools for damage identification are presented. The first tool, developed on the basis of the Virtual Distortion Method (VDM), takes advantage of an analytical formulation of the damage identification problem. Consequently, gradient-based optimization method is applied to solve the resulting dynamic inverse problem in time domain. Finite element model of the structure is necessary for the VDM approach. The second tool utilizes the Case-Based Reasoning (CBR) for damage identification. This method consists in i) extracting principal features of the response signal by wavelet transform, ii) creating a base of representative damage cases, iii) organizing and training the base by neural networks, and finally iv) retrieving and adapting a new case (possible damage) by similarity criteria. Basic description of both approaches is given. A comparison of numerical effectiveness, in terms of accuracy and computational time, is provided for a simple beam structure. Advantages and weaknesses of each approach are highlighted.

Keywords:
Damage Identification, Inverse Dynamic Problem, Software Tools

Affiliations:
Kołakowski P. - IPPT PAN
Mujica L. - other affiliation
Vehi J. - other affiliation

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