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Elastodynamic problem on tensor random fields with fractal and Hurst effects
University of Illinois at Urbana-Champaign Urbana, Champaign, IL, 61801, USA.
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics. (MAM)ORCID iD: 0000-0002-0139-0747
Khalifa University at Abu Dhabi, United Arab Emirates.ORCID iD: 0000-0001-9934-4409
University of Illinois at Urbana-Champaign, USA.ORCID iD: 0000-0002-3493-363X
2022 (English)In: Meccanica (Milano. Print), ISSN 0025-6455, E-ISSN 1572-9648, Vol. 57, no 4, p. 957-970Article in journal (Refereed) Published
Abstract [en]

This paper reports a cellular automata (CA) study of the transient dynamic responses of anti-plane shear Lamb’s problems on random fields (RFs) with fractal and Hurst effects. Both Cauchy and Dagum random field models are employed to capture the combined effects of spatial randomness in both mass density and stiffness tensor fields. First, with a dyadic representation, we formulate a second-rank anti-plane stiffness tensor random field (TRF) model with full anisotropy. Its statistical, fractal, and Hurst properties are investigated, leading to introduction of a so-called MOSP model of TRF. Then, we generalize the CA approach to incorporate the inhomogeneity in mass density as well as stiffness fields. Through parametric studies for both Cauchy and Dagum TRFs, the sensitivity of wave propagation on random fields is assessed for a wide range of fractal and Hurst parameters. In general, the mean response amplitude is lowered by the presence of randomness, and the Hurst parameter (especially, for $$\beta < 0.5$$) is found to have a stronger influence than the fractal dimension on the response. The results are compared with two simpler random fields: (1) randomness is present only in the mass density field; (2) randomness is present in the mass density field and in a locally isotropic stiffness tensor field. Overall, the results show that a second-rank anti-plane stiffness TRF with full anisotropy leads to the strongest fluctuation in displacement responses followed by a locally isotropic RF model.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2022. Vol. 57, no 4, p. 957-970
National Category
Probability Theory and Statistics
Research subject
Mathematics/Applied Mathematics
Identifiers
URN: urn:nbn:se:mdh:diva-55885DOI: 10.1007/s11012-021-01424-1ISI: 000695192700001Scopus ID: 2-s2.0-85114785796OAI: oai:DiVA.org:mdh-55885DiVA, id: diva2:1594358
Available from: 2021-09-15 Created: 2021-09-15 Last updated: 2022-08-29Bibliographically approved

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Malyarenko, Anatoliy

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Malyarenko, AnatoliyPorcu, EmilioOstoja-Starzewski, Martin
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