Implementing Dynamic Boundary Conditions with the Material Point Method

Conference Paper (2023)
Author(s)

Phuong Chinh Do (Student TU Delft)

PJ Vardon (TU Delft - Geo-engineering)

J. L. González Acosta (TU Delft - Geo-engineering)

Michael Hicks (TU Delft - Geo-engineering)

Geo-engineering
Copyright
© 2023 Phuong Chinh Do, P.J. Vardon, J.L. Gonzalez Acosta, M.A. Hicks
DOI related publication
https://doi.org/10.1007/978-3-031-12851-6_27
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Phuong Chinh Do, P.J. Vardon, J.L. Gonzalez Acosta, M.A. Hicks
Geo-engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
221-228
ISBN (print)
9783031128509
Reuse Rights

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Abstract

The material point method (MPM) is gaining an increasing amount of attention due to its capacity to solve geotechnical problems involving large deformations. Large deformations in geotechnics usually involve the failure process and therefore dynamic analyses are often carried out. However, simulating the (infinite) continuous domain using typical Dirichlet (fixed) boundary conditions induces spurious reflections, causing (1) unrealistic stress increments at the domain boundary and (2) the appearance of multiple unnatural stress waves in the domain. Aiming to eliminate this numerical artifact in MPM, two solutions for absorbing boundary conditions found in FEM are implemented and investigated; these are (1) a viscous boundary condition and (2) a viscoelastic boundary condition. The use of such dynamic boundary conditions in MPM is scarce and no validation of them has yet been presented in the literature. In this paper, these absorbing conditions are implemented alongside recent mapping and integration techniques, improving numerical stability and accuracy.

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