Deep transfer learning-aided constitutive modelling of granular soils considering out-of-range particle morphology

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Keyphrases

100
Granular Soil Keyphrases
100
Particle Morphology Keyphrases
100
Out of Range Keyphrases
100
Constitutive Modeli... Keyphrases
100
Deep Transfer Learn... Keyphrases
83
Long Short-term Mem... Keyphrases
33
Extrapolation Abili... Keyphrases
16
Biaxial Strain Keyphrases
16
Computational Cost Keyphrases
16
Performance Predict... Keyphrases
16
Training Model Keyphrases
16
Under Loading Keyphrases
16
Volumetric Strain Keyphrases
16
Discrete Element Si... Keyphrases
16
Range Data Keyphrases
16
Long Short-term Mem... Keyphrases
16
Long Short-term Mem... Keyphrases
16
Model Extrapolation Keyphrases
16
Data-driven Constit... Keyphrases
16
Simulation Database Keyphrases
16
Memory-based Model Keyphrases

INIS

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learning INIS
100
particles INIS
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range INIS
100
modeling INIS
100
morphology INIS
100
soils INIS
33
testing INIS
33
data INIS
33
strains INIS
33
extrapolation INIS
16
comparative evaluat... INIS
16
performance INIS
16
cost INIS
16
simulation INIS
16
loading INIS
16
neural networks INIS

Engineering

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Granular Soil Engineering
100
Constitutive Modeli... Engineering
100
Transfer Learning Engineering
100
Long Short-Term Mem... Engineering
57
Models Engineering
42
Database Engineering
28
Testing Engineering
14
Performance Engineering
14
Good Agreement Engineering
14
Axial Strain Engineering
14
Input Parameter Engineering
14
Computational Cost Engineering
14
Element Method Engineering
14
Constitutive Model Engineering
14
Discrete Element Engineering
14
Volumetric Strain Engineering

Chemical Engineering

100
Long Short-Term Mem... Chemical Engineering
14
Neural Network Chemical Engineering
Research OutputsResearch Output authored by Deep transfer learning-aided constitutive modelling of granular soils considering out-of-range particle morphology is tagged with the concept