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Shaoheng Guan
Observed name:
Shao-heng Guan
Institution:
Jingchu University of Technology
Observed institutions:
Wuhan University,
Swansea University,
Graz University of Technology,
Jingchu University of Technology,
State Key Laboratory of Water Resources and Hydropower Engineering Science
ORCID:
0000-0003-1630-5493
Observed ORCID:
0000-0003-1630-5493
OpenAlex ID:
A5028930919
A predictive deep learning framework for path-dependent mechanical behavior of granular materials
2022
·
Gang Ma
, Shaoheng Guan
, et al.
·
Acta Geotechnica
·
46
Data-driven strain–stress modelling of granular materials via temporal convolution neural network
2022
·
Mengqi Wang
, Tongming Qu
, et al.
·
Computers and Geotechnics
·
44
A machine learning-based multi-scale computational framework for granular materials
2022
·
Shaoheng Guan
, Tongming Qu
, et al.
·
Acta Geotechnica
·
40
PDF
Long-term deformation analysis of Shuibuya concrete face rockfill dam based on response surface method and improved genetic algorithm
2019
·
Fu-hai Yao
, Shao-heng Guan
, et al.
·
Water Science and Engineering
·
38
PDF
Multi-layer perceptron-based data-driven multiscale modelling of granular materials with a novel Frobenius norm-based internal variable
2024
·
Mengqi Wang
, Y.T. Feng
, et al.
·
Journal of Rock Mechanics and Geotechnical Engineering
·
15
GPM-PeNN: A generalized plasticity model-based data-driven constitutive modeling framework using physics-encoded neural network
2024
·
Jingzhou Wang
, Gang Ma
, et al.
·
Computer Methods in Applied Mechanics and Engineering
·
12
An explicit FEM-NN framework and the analysis of error caused by NN-predicted stress
2023
·
Shaoheng Guan
, Y. T. Feng
, et al.
·
Acta Geotechnica
·
12
Experimental and numerical investigation of the collapse of binary mixture of particles with different densities
2022
·
Miao Wang
, Lun-xun Liang
, et al.
·
Powder Technology
·
12
Interfacial Shearing Behavior Analysis of Rockfill Using FDEM Simulation with Irregularly Shaped Particles
2019
·
Fuhai Yao
, Gang Ma
, et al.
·
International Journal of Geomechanics
·
10
PE-MPINN: A Parameters-Enhanced Multiphysics-Informed Neural Network for Data Assimilation of Seepage-Consolidation Coupling Problems in Spatially Variable Soils
2025
·
Mingyue Sun
, Gang Ma
, et al.
·
SSRN Electronic Journal
·
1
PE-MPINN: A Parameters-Enhanced Multiphysics-Informed Neural Network for Data Assimilation of Seepage-Consolidation Coupling Problems in Spatially Variable Soils
2025
·
Mingyue Sun
, Gang Ma
, et al.
·
SSRN Electronic Journal
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Works count:
11
Citation count:
230
H-index:
9
I10-index:
9
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