LEAST SQUARE MOVING PARTICLE SEMI-IMPLICIT (LSMPS) METHOD FOR STEADY STATE LINEAR ELASTICITY
Least Square Moving Particle Semi-Implicit (LSMPS) Method is a particle based spatial differential operator designed to solve various continuum me- chanics problems by using particle-based method computation. LSMPS is able to solve the spatial derivative of a particle at any given...
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id-itb.:616352021-09-27T10:10:56ZLEAST SQUARE MOVING PARTICLE SEMI-IMPLICIT (LSMPS) METHOD FOR STEADY STATE LINEAR ELASTICITY Alfarisy, Dewangga Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/61635 Least Square Moving Particle Semi-Implicit (LSMPS) Method is a particle based spatial differential operator designed to solve various continuum me- chanics problems by using particle-based method computation. LSMPS is able to solve the spatial derivative of a particle at any given locations when it has sufficient number of neighbouring particles even if the neighbouring particles is randomly distributed in contrast to standard finite difference method where the particle must be distributed in a typical cartesian grid. In this study, the LSMPS operator will be used to solve steady linear elasticity problems in both two-dimensional and three-dimensional domain. The result obtained from LSMPS numerical simulation is compared to the respective analytical so- lution, empirical solution, or conventional commercial Finite Element Method (FEM) software. In this study, the simulation time required for each problem using the LSMPS discretization is also the research interest and is tabulated as a reference for the reader. text |
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Least Square Moving Particle Semi-Implicit (LSMPS) Method is a particle based spatial differential operator designed to solve various continuum me- chanics problems by using particle-based method computation. LSMPS is able to solve the spatial derivative of a particle at any given locations when it has sufficient number of neighbouring particles even if the neighbouring particles is randomly distributed in contrast to standard finite difference method where the particle must be distributed in a typical cartesian grid. In this study, the LSMPS operator will be used to solve steady linear elasticity problems in both two-dimensional and three-dimensional domain. The result obtained from LSMPS numerical simulation is compared to the respective analytical so- lution, empirical solution, or conventional commercial Finite Element Method (FEM) software. In this study, the simulation time required for each problem using the LSMPS discretization is also the research interest and is tabulated as a reference for the reader. |
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Final Project |
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Alfarisy, Dewangga |
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Alfarisy, Dewangga LEAST SQUARE MOVING PARTICLE SEMI-IMPLICIT (LSMPS) METHOD FOR STEADY STATE LINEAR ELASTICITY |
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Alfarisy, Dewangga |
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Alfarisy, Dewangga |
title |
LEAST SQUARE MOVING PARTICLE SEMI-IMPLICIT (LSMPS) METHOD FOR STEADY STATE LINEAR ELASTICITY |
title_short |
LEAST SQUARE MOVING PARTICLE SEMI-IMPLICIT (LSMPS) METHOD FOR STEADY STATE LINEAR ELASTICITY |
title_full |
LEAST SQUARE MOVING PARTICLE SEMI-IMPLICIT (LSMPS) METHOD FOR STEADY STATE LINEAR ELASTICITY |
title_fullStr |
LEAST SQUARE MOVING PARTICLE SEMI-IMPLICIT (LSMPS) METHOD FOR STEADY STATE LINEAR ELASTICITY |
title_full_unstemmed |
LEAST SQUARE MOVING PARTICLE SEMI-IMPLICIT (LSMPS) METHOD FOR STEADY STATE LINEAR ELASTICITY |
title_sort |
least square moving particle semi-implicit (lsmps) method for steady state linear elasticity |
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https://digilib.itb.ac.id/gdl/view/61635 |
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