Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117318
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorLiang, W-
dc.creatorChandra, B-
dc.creatorYu, J-
dc.creatorYin, ZY-
dc.creatorZhao, J-
dc.date.accessioned2026-02-11T03:49:57Z-
dc.date.available2026-02-11T03:49:57Z-
dc.identifier.issn0029-5981-
dc.identifier.urihttp://hdl.handle.net/10397/117318-
dc.language.isoenen_US
dc.publisherJohn Wiley & Sonsen_US
dc.subjectFractional step methoden_US
dc.subjectIncompressible fluid flowen_US
dc.subjectMaterial point method (MPM)en_US
dc.subjectPorous mediaen_US
dc.subjectTotal Lagrangianen_US
dc.titleA Total-Lagrangian material point method for fast and stable hydromechanical modeling of porous mediaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume126-
dc.identifier.issue19-
dc.identifier.doi10.1002/nme.70135-
dcterms.abstractModeling the incompressible fluid flow in porous media has long been a challenging task in the Material Point Method (MPM). Although widely used, conventional Updated Lagrangian MPM (ULMPM) often suffers from numerical stability and computational efficiency issues in the hydromechanical analysis of saturated porous media. To address these issues, we herein present a novel semi-implicit Total Lagrangian MPM (TLMPM). The proposed TLMPM leverages the fractional step method to decouple pore pressure from kinematic fields and employs the semi-implicit scheme to bypass the small time step constraint imposed by permeability and fluid compressibility. Unlike its UL counterpart, the TLMPM evaluates weighting functions and their gradients only once in the reference configuration, eliminating material point tracking and inherently resolving cell-crossing instabilities. Given the consistent set of active degrees of freedom throughout simulations, the proposed method greatly reduces computational costs associated with system matrix assembly for both kinematics and pore pressure and with free-surface node detection. Furthermore, this feature also facilitates the efficient Cholesky factorization, resulting in a substantial acceleration of the solver performance. The proposed approach has been validated against various benchmark tests, and our results have highlighted the remarkable performance of TLMPM, which can achieve up to 63 times speedup over conventional methods, scaling favorably with problem size, and retaining numerical stability even with low-order basis functions. These advancements position the TLMPM as a transformative tool for poroelastic analysis, with broader applicability to large-deformation problems in geomechanics, energy systems, and environmental engineering.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationInternational journal for numerical methods in engineering, 15 Oct. 2025, v. 126, no. 19, e70135-
dcterms.isPartOfInternational journal for numerical methods in engineering-
dcterms.issued2025-10-15-
dc.identifier.scopus2-s2.0-105018470052-
dc.identifier.eissn1097-0207-
dc.identifier.artne70135-
dc.description.validate202602 bcjz-
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000967/2025-11en_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research is financially supported by the Research Grants Council (RGC) of Hong Kong (by GRF Project Grant No. 15229223, 15232224 and TRS Project Grant No. T22-607/24N) and National Science Foundation of China (by Grant No. 52508394).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-10-15en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status embargoed access
Embargo End Date 2026-10-15
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.