Mass-gravity-scaling technique to enhance computational efficiency of explicit numerical methods for quasi-static problems

[Display omitted] Large deformation numerical analysis adopting explicit integration scheme is commonly employed in geotechnical analysis to simulate quasi-static problems involving large soil deformations. The computational time for the conduct of such analysis is often very time consuming particul...

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Bibliographic Details
Published in:Computers and geotechnics 2021-05, Vol.133, p.103999, Article 103999
Main Authors: Kencana, E.Y., Haryono, I.S., Leung, C.F., Chow, Y.K.
Format: Article
Language:English
Subjects:
Accuracy
Computational efficiency
Computer applications
Computing time
Deformation
Deformation analysis
Efficiency
Finite difference method
Gravity
Initial stresses
Large deformation finite element method
Mass
Mass-gravity-scaling
Mathematical analysis
Mathematical models
Numerical analysis
Numerical methods
Pile-reinforced slope
Piles
Scaling
Scaling factors
Soil
Soil stresses
Soil-structure interaction
Soils
Spudcan foundation
T-bar
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Summary:[Display omitted] Large deformation numerical analysis adopting explicit integration scheme is commonly employed in geotechnical analysis to simulate quasi-static problems involving large soil deformations. The computational time for the conduct of such analysis is often very time consuming particularly for complex 3-dimensional soil-structure interaction problems. As an extension to the mass-scaling technique, a mass-gravity-scaling (MGS) technique is proposed in this study to improve the computational efficiency substantially. By scaling the material density and model gravity correspondingly, the soil initial stress state that is essential for realistic soil response can be maintained. This enables the increase in the critical time step resulting in a significant reduction in computational time. Three quasi-static large soil deformation geotechnical problems involving T-bar penetration, spudcan-pile interaction, and pile-reinforced slope are presented to illustrate the application of the MGS technique simulated in finite element (Coupled Eulerian-Lagrangian and Updated Lagrangian) and finite difference methods. It is established that an appropriate scaling factor should be chosen by considering a trade-off between computational time and accuracy of analysis. For selected problems, a hybrid-MGS technique can be employed by selectively applying different scaling factors over specific domains to improve the accuracy and efficiency of the solution technique.
ISSN:0266-352X
1873-7633
DOI:10.1016/j.compgeo.2021.103999