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Material point method: Algorithm development and application to landslide modelling

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School of Engineering | Doctoral thesis (article-based) | Defence date: 2019-11-29
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Date

2019

Department

Rakennustekniikan laitos
Department of Civil Engineering

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Mcode

Degree programme

Language

en

Pages

110 + app. 120

Series

Aalto University publication series DOCTORAL DISSERTATIONS, 202/2019

Abstract

Landslides are a serious natural hazard which causes loss of lives and damages the infrastructure all around the world. Therefore, to protect the infrastructure and reduce the fatalities, one needs to have a proper numerical tool that can predict a completed process of landslides from the triggering phases, the onset of the failure and post-failure to the final deposition. This research investigates the landslides from the geotechnical engineering point of view and by means of recent advanced numerical method, so-call Material Point Method (MPM). Indeed, the MPM has been recently used for back-analyses of many landslides in the past ten years. However, there is very little research to access the reliability of the MPM for the landslide modelling even when there are some concerns on the numerical stability and accuracy of the MPM which reported in literature. This poses a challenge to improve the algorithmic performance of the MPM to make this method more attractive and reliable for landslide modelling. Motivated by this challenge, this work aims to validate the capability of the MPM with various benchmarks and replicate a spread failure of a sensitive clay landslide in Sainte-Monique, Quebec in 1994. The extensive validations can reveal the advantages and limitations of the MPM in order to improve the MPM formulation. The contribution of this research is to enhance the stability and the accuracy of the MPM. The former is done by mitigating non-physical velocity/pressure oscillations using a temporal and a null-space filter for the MPM. The latter is to improve the spatial convergence rate of the MPM by using an improved moving least squares method and gradient velocity enhancement. Overall, these proposed developments improve the MPM algorithm and potentially apply to the multi-phase MPM in the future.

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Supervising professor

Sołowski, Wojciech, Asst. Prof., Aalto University, Department of Civil Engineering, Finland

Thesis advisor

Korkiala-Tanttu, Leena Katariina, Assoc. Prof., Aalto University, Department of Civil Engineering, Finland

Keywords

material point method, landslides, fallcone test, strain rate effects, progressive failure, large deformation modelling

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  • [Publication 1]: Tran, Quoc Anh; Sołowski, Wojciech; Karstunen, Minna; Korkiala-Tanttu, Leena. Modelling of Fall-cone tests with Strain-rate Effects. Procedia Engineering, 2017, volume 175, pages 293-301.
    Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201705113961
    DOI: 10.1016/j.proeng.2017.01.029 View at publisher
  • [Publication 2]: Tran, Quoc Anh; Berzins, Martin; Sołowski, Wojciech. An improved moving leas squares method for the Material Point Method. In: Liang, D., Kumar, K. and Rohe, A. (eds.). Proceedings of the 2nd International Conference on the Material Point Method for Modelling Soil-Water-Structure Interaction (MPM 2019), Cambridge, UK. http://urn.fi/URN:NBN:fi:aalto-201901301420.
  • [Publication 3]: Tran, Quoc Anh; Wobbes, Elizaveta; Sołowski, Wojciech; Möller, Matthias; Vuik, Cornelis. Moving least squares reconstruction for B-spline Material Point Method. In: Liang, D., Kumar, K. and Rohe, A. (eds.). Proceedings of the 2nd International Conference on the Material Point Method for Modelling Soil-Water-Structure Interaction (MPM 2019), Cambridge, UK. http://urn.fi/URN:NBN:fi:aalto-201901301464.
  • [Publication 4]: Tran, Quoc Anh; Sołowski, Wojciech. Generalized Interpolation Material Point Method modelling of large deformation problems including strainrate effects – Application to penetration and progressive failure problems. Computers and Geotechnics, 2019, volume 106, pages 249-265.
    Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201812105987
    DOI: 10.1016/j.compgeo.2018.10.020 View at publisher
  • [Publication 5]: Tran, Quoc Anh; Sołowski, Wojciech. Temporal and Null-space filter for the Material Point Method. International Journal for Numerical Methods in Engineering, 2019, volume 120, issue 3, pages 328-360.
    Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201910045613
    DOI: 10.1002/nme.6138 View at publisher
  • [Publication 6]: Tran, Quoc Anh; Sołowski, Wojciech; Berzins, Martin; Guilkey, James. Convected Particle Least Square Interpolation Material Point Method (CPLS), 2019. Submitted to International Journal for Numerical Methods in Engineering, accepted

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https://urn.fi/URN:ISBN:978-952-60-8797-9

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[diss] Insinööritieteiden korkeakoulu / ENG

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