On the dynamic assessment of the Local-Maximum Entropy Material Point Method through an Explicit Predictor-Corrector Scheme

Molinos Pérez, Miguel ORCID: https://orcid.org/0000-0002-5073-4796, Navas Almodovar, Pedro ORCID: https://orcid.org/0000-0002-0482-378X, Pastor Pérez, Manuel Tomás ORCID: https://orcid.org/0000-0001-8080-0013 and Martín Stickle, Miguel ORCID: https://orcid.org/0000-0001-7591-418X (2021). On the dynamic assessment of the Local-Maximum Entropy Material Point Method through an Explicit Predictor-Corrector Scheme. "Computer Methods in Applied Mechanics and Engineering", v. 374 ; p. 113512. https://doi.org/10.1016/j.cma.2020.113512.

Descripción

Título: On the dynamic assessment of the Local-Maximum Entropy Material Point Method through an Explicit Predictor-Corrector Scheme
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Computer Methods in Applied Mechanics and Engineering
Fecha: 2021
Volumen: 374
Materias:
Escuela: E.T.S.I. Caminos, Canales y Puertos (UPM)
Departamento: Mecánica de Medios Continuos y Teoría de Estructuras
Grupo Investigación UPM: Mecánica Computacional GMC
Licencias Creative Commons: Ninguna

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Resumen

Material Point Method (MPM) has arisen in the recent years as an alternative to Finite Element Method (FEM) under large deformations. However, the simulation of shock waves propagation in the large deformation regime is still challenging under this approach due to the incapability of the standard MPM time integration scheme to filter spurious noises. To overcome it, we propose in this paper an explicit Predictor-Corrector time integration scheme. Its powerful performance mitigates the presence of spurious oscillations with minimal dissipation in high frequency problems. Other source of numerical noise in MPM occurs when the material points cross computational grid boundaries, being caused by the lack of smoothness of the interpolation functions. This noise results in spurious local variations at the material points, where strain-stress fields are computed. This could lead to inaccurate solutions as well as aborted simulations in the worst cases. To surmount it, we propose in this work the Local Maximum-Entropy (LME) approximation schemes as a robust substitute of the traditional shape function in MPM. The performance of both improvements is validated by the high quality results of the numerical examples.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
BIA-2016-76253
Sin especificar
Sin especificar
Sin especificar
Gobierno de España
FJCI-2017–31544
Sin especificar
Sin especificar
Sin especificar

Más información

ID de Registro: 85809
Identificador DC: https://oa.upm.es/85809/
Identificador OAI: oai:oa.upm.es:85809
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/9862957
Identificador DOI: 10.1016/j.cma.2020.113512
URL Oficial: hhttps://www.sciencedirect.com/science/article/abs...
Depositado por: Dr. Pedro Navas Almodóvar
Depositado el: 09 Ene 2025 14:41
Ultima Modificación: 12 Nov 2025 00:00