Well-posedness of a random coefficient damage mechanics model

dc.contributor.authorPlecháč, Petr
dc.contributor.authorSimpson, Gideon
dc.contributor.authorTroy, Jerome R.
dc.date.accessioned2022-03-14T18:22:09Z
dc.date.available2022-03-14T18:22:09Z
dc.date.issued2022-01-07
dc.descriptionThis is an Accepted Manuscript of an article published by Taylor & Francis in Applicable Analysis on 01/07/2022, available online: http://www.tandfonline.com/10.1080/00036811.2021.2021192. This article will be embargoed until 01/07/2023.en_US
dc.description.abstractWe study a one-dimensional damage mechanics model in the presence of random materials properties. The model is formulated as a quasilinear partial differential equation of visco-elastic dynamics with a random field coefficient. We prove that in a transformed coordinate system the problem is well-posed as an abstract evolution equation in Banach spaces, and on the probability space it has a strongly measurable and Bochner integrable solution. We also establish the existence of weak solutions in the underlying physical coordinate system. We present numerical examples that demonstrate propagation of uncertainty in the stress–strain relation based on properties of the random damage field.en_US
dc.description.sponsorshipThis work was supported by the U.S. Army Research Office Award Army Research Laboratory W911NF-19-1-0243. G. S. completed his contribution to this work under the support of U.S. National Science Foundation Grant DMS-1818726.en_US
dc.identifier.citationPetr Plecháč, Gideon Simpson & Jerome R. Troy (2022) Well-posedness of a random coefficient damage mechanics model*, Applicable Analysis, DOI: 10.1080/00036811.2021.2021192en_US
dc.identifier.issn1563-504X
dc.identifier.urihttps://udspace.udel.edu/handle/19716/30646
dc.language.isoen_USen_US
dc.publisherApplicable Analysisen_US
dc.subjectViscoelasticityen_US
dc.subjectdamage mechanicsen_US
dc.subjectrandom coefficient differential equationen_US
dc.subjectmild solutionsen_US
dc.titleWell-posedness of a random coefficient damage mechanics modelen_US
dc.typeArticleen_US

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