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dc.contributor.author Ahangamage, PN
dc.contributor.author Herath, HMST
dc.contributor.editor Mallikarachchi, C
dc.contributor.editor Hettiarachchi, P
dc.contributor.editor Herath, S
dc.contributor.editor Fernando, L
dc.date.accessioned 2023-10-10T04:18:55Z
dc.date.available 2023-10-10T04:18:55Z
dc.date.issued 2023-09-27
dc.identifier.citation ** en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/21525
dc.description.abstract The rapid advancement of additive manufacturing (AM) enables the fabrication of strong, lightweight structures with a topology that is unreachable using conventional manufacturing processes, such as complex lattice structures. Among these lattice structures, soft lattice structures can undergo large elastic deformations, absorb energy and dampen vibrations in a reversible manner, exploit mechanical instabilities and buckling, exhibit auxetic behaviour, possess negative thermal expansion, and have shape-memory and shape-morphing capabilities. These unique characteristics of soft lattices open up new pathways to a wide range of multifunctional applications, including soft robotics, biomedical devices, energy harvesting, and storage. Hence, the modelling of soft lattice structures has become very important thing. This research study introduces a computational modelling framework for characterising the effective nonlinear micromechanical behaviour of soft lattice structures under uniaxial loading conditions with large deformations. It also explores the impact and necessity of joint stiffening in modelling soft lattices. Furthermore, it investigates the effects of parameter variations on the overall micromechanical behaviour of unit cells. Under uniaxial loading, certain soft lattice structures present buckling-dominated behaviour, while others present bending-dominated characteristics. In developing and validating the computational modelling framework, Body Centred Cubic (BCC) structures were used to represent buckling behaviour, and Body Centred (BC) structures were used to represent bending behaviour. Numerical simulations were performed using Abaqus FEA software. For micromechanical analysis, Periodic boundary conditions were applied to simulate unit cell behaviour, facilitating the extraction of effective homogenised responses. To achieve the required joint stiffness in soft lattices, it is necessary to increase the joint thickness by 100% of the strut diameter for a length equal to the diameter. During uniaxial testing, lattice structures dominated by bending and stretching can be modelled using the ABAQUS/Standard Static General solver, avoiding the introduction of buckling mode shapes. Conversely, lattice structures exhibiting buckling behaviour can be modelled employing the ABAQUS/Standard Dynamic Implicit solver, incorporating proper scaling factors to simulate buckling mode shapes within ideal lattice structures. The developed effective stress-strain responses of unit cells under uniaxial loading can be used to develop a material model for soft lattice structures. Curve fitting techniques and artificial neural networks are recommended methods for material model development in further studies. en_US
dc.language.iso en en_US
dc.publisher Department of Civil Engineering en_US
dc.subject Multiscale modelling en_US
dc.subject Soft Lattice structures en_US
dc.subject Nonlinear buckling analysis en_US
dc.subject Computational framework en_US
dc.title Multiscale modeling of lattice structures under large deformations en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Civil Engineering en_US
dc.identifier.year 2023 en_US
dc.identifier.conference Civil Engineering Research Symposium 2023 en_US
dc.identifier.place University of Moratuwa, Katubedda, Moratuwa. en_US
dc.identifier.pgnos pp. 29-30 en_US
dc.identifier.proceeding Proceedings of Civil Engineering Research Symposium 2023 en_US
dc.identifier.email sumuduh@uom.lk en_US


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  • CERS - 2023 [55]
    Civil Engineering Research Symposium 2023

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