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Experimental-numerical methods for inverse characterization of the anisotropic-anelastic properties of porous materials, based on dynamic Digital Image Correlation
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Marcus Wallenberg Laboratory MWL.ORCID iD: 0000-0003-2498-2558
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Marcus Wallenberg Laboratory MWL.
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Marcus Wallenberg Laboratory MWL. KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.ORCID iD: 0000-0003-1855-5437
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Marcus Wallenberg Laboratory MWL. Siemens Industry Software, Leuven Belgium.ORCID iD: 0000-0003-4503-4151
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2018 (English)In: Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics, 2018, p. 687-695Conference paper, Published paper (Refereed)
Abstract [en]

One of the major challenges in accurately modeling poroelastic materials is the choice of the parametersrequired for their modeling, immediately followed by the practical difficulty in obtaining them. The direc-tional dependencies of the physical properties further complicate the task of designing experimental setupscapable of providing the macroscopic properties. In the work presented here, the focus has been set on theacquisition of high quality displacement data by means of two high-speed cameras and 3D Digital ImageCorrelation. The obtained displacement field, is fed into a general inverse formulation which is guided by anoptimization tool that minimizes the difference between the predicted and the measured data. As a minimumis found, the corresponding parameters are interpreted as material properties for a certain physical model.The solutions for each iteration are calculated with numerical prediction tools, in the cases discussed herethe finite element method, where it must be ascertained that the numerical errors are kept to a minimal level

Place, publisher, year, edition, pages
2018. p. 687-695
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-240271Scopus ID: 2-s2.0-85060369851ISBN: 9789073802995 (print)OAI: oai:DiVA.org:kth-240271DiVA, id: diva2:1270633
Conference
28th International Conference on Noise and Vibration Engineering, ISMA 2018 and 7th International Conference on Uncertainty in Structural Dynamics, USD 2018; Leuven; Belgium; 17 September 2018 through 19 September 2018
Funder
Swedish Research Council
Note

QC 20181214

Available from: 2018-12-13 Created: 2018-12-13 Last updated: 2019-03-26Bibliographically approved

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Manzari, LucaMao, HuinaGöransson, PeterCuenca, JacquesLopez Arteaga, Ines

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Manzari, LucaMao, HuinaGöransson, PeterCuenca, JacquesLopez Arteaga, Ines
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CiteExportLink to record
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