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dc.contributor.author Herath, S
dc.contributor.author Cirak, H
dc.date.accessioned 2021-08-22T05:54:12Z
dc.date.available 2021-08-22T05:54:12Z
dc.date.issued 2021-08-22
dc.identifier.uri http://dl.lib.uom.lk/handle/123/16653
dc.description.abstract A method for computational homogenisation of thin membranes is proposed to assist in the mechanical analysis of technical textiles. Conventional computational homogenisation schemes have a limited scope in analysing the complex nonlinear behaviour of textiles where the interlooped or interlaced fibres undergo large deformations. Also, the higher computational cost of the existing homogenisation schemes inspires the inception of a data-driven multiscale computational homogenisation scheme. In this paper, the efficient integration of statistical learning in computational homogenisation is proved not only to result in the efficient mechanical analysis but also to open avenues in material design of knitted and woven technical textiles. en_US
dc.language.iso en_US en_US
dc.source.uri https://www.ictam2020.org/ en_US
dc.subject Gaussian Process en_US
dc.subject Design of technical textiles
dc.title Gaussian process homogenisation and design of technical textiles en_US
dc.type Conference-Extended-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Civil Engineering en_US
dc.identifier.year 2021 en_US
dc.identifier.conference International Congress of Theoretical and Applied Mechanics en_US
dc.identifier.place Milan, Italy en_US
dc.identifier.pgnos 1970-1971 en_US
dc.identifier.proceeding Italian Association of Theoretical and Applied Mechanics en_US
dc.identifier.email sumuduh@uom.lk en_US


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