Dr. WU Mengmeng (武猛猛)
Research Output
- 2025
- Published
Computed tomography-driven analysis of particle breakage using a coupled FDM–DEM approach
Wu, M., Sun, Y., Situ, X., Wang, J. & Yin, Z.-Y., 2025, In: Canadian Geotechnical Journal. 62Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1 - 2024
- Published
DEM modeling of granular soils reinforced by disposable face-mask chips
Wu, M., Yin, Z.-Y., Sun, Y., Li, Y. & Wang, J., Dec 2024, In: Computers and Geotechnics. 176, 106804.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
- Published
Effects of morphological gene decay and mutation on the micro-macro mechanical behaviors of granular soils
XIONG, W., WANG, J. & WU, M., Oct 2024, In: Geotechnique. 74, 11, p. 1076–1094 19 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 14 - Published
Modeling a Flexible Membrane for Triaxial Tests with Coupled FDM–DEM: Considering Realistic Particle Shape Effects
Wu, M., Fan, Y., Wang, J. & Yin, Z.-Y., Aug 2024, In: International Journal of Geomechanics. 24, 8, 04024155.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
- Online published
Particle tracking‑aided digital volume correlation for clay-sand soil mixtures
Wu, M., Wang, J., Pan, B. & Yin, Z.-Y., 11 Jul 2024, (Online published) In: Géotechnique. 32 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1 - 2023
- Presented
Data-driven constitutive modelling of granular soils considering multiscale particle morphology
Xiong, W., Wang, J. & Wu, M., 2 Dec 2023, (Presented).Research output: Conference Papers › RGC 33 - Other conference paper
- Presented
Investigating particle breakage in sand under triaxial shearing: a novel approach combining x-ray tomography and particle tracking
WU, M. & WANG, J. J., 2 Dec 2023, (Presented).Research output: Conference Papers › RGC 33 - Other conference paper
- Presented
TCN and LSTM neural network for predicting path-dependent constitutive behaviours of idealized granular soils
LI, X., WU, M. & WANG, J., 30 Nov 2023.Research output: Conference Papers › RGC 33 - Other conference paper
- Published
On the Tracking of Shelly Carbonate Sands Using Deep Learning
WU, M., ZHOU, B. & WANG, J., Nov 2023, In: Geotechnique. 73, 11, p. 974-985Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9 - Published
Quantifying the morphology of crushed sand particles using X-ray micro-tomography
Wu, M., Lu, J., Li, X., Pan, S., Wang, J. & Yin, Z., Nov 2023, In: Granular Matter. 25, 4, 80.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 6 - Published
Data-driven constitutive modelling of granular soils considering multiscale particle morphology
Xiong, W., Wang, J. & Wu, M., Oct 2023, In: Computers and Geotechnics. 162, 105699.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 13 - Online published
Exploring particle breakage in sand under triaxial shearing using combined X-ray tomography and particle tracking method
Wu, M. & Wang, J., 19 Jun 2023, (Online published) In: Geotechnique.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 35 - Published
Constitutive modelling of idealised granular materials using machine learning method
Wu, M., Xia, Z. & Wang, J., Apr 2023, In: Journal of Rock Mechanics and Geotechnical Engineering. 15, 4, p. 1038-1051Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 17 - Published
DEM modeling of mini-triaxial test on soil-rock mixture considering particle shape effect
Wu, M., Zhou, F. & Wang, J., Jan 2023, In: Computers and Geotechnics. 153, 105110.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 51 - Published
Pattern recognition of quartz sand particles with PointConv network
Zhu, Z., Wang, J. & Wu, M., Jan 2023, In: Computers and Geotechnics. 153, 105061.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9 - 2022
- Published
DEM simulation of particle crushing in a triaxial test considering the influence of particle morphology and coordination number
Zhu, Z., Wang, J. & Wu, M., Aug 2022, In: Computers and Geotechnics. 148, 104769.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 30 - Published
DEM investigations of failure mode of sands under oedometric loading
Wu, M., Wang, J. & Wu, F., Jun 2022, In: Advanced Powder Technology. 33, 6, 103599.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 17 - Published
Constitutive modelling of natural sands using a deep learning approach accounting for particle shape effects
Wu, M. & Wang, J., May 2022, In: Powder Technology. 404, 117439.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 27 - Published
Particle shape effect on the shear banding in DEM-simulated sands
Wu, M., Wu, F. & Wang, J., May 2022, In: Granular Matter. 24, 2, 48.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 26 - Published
DEM modeling of the one-dimensional compression of sands incorporating a statistical particle fragmentation scheme
Wu, M., Wang, J. & Zhao, B., Jan 2022, In: Canadian Geotechnical Journal. 59, 1, p. 144-157Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 32
