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A spatiotemporal deep learning framework for prediction of crack
  dynamics in heterogeneous solids: efficient mapping of concrete
  microstructures to its fracture properties

A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties

22 July 2024
Rasoul Najafi Koopas
Shahed Rezaei
N. Rauter
Richard Ostwald
R. Lammering
    AI4CE
ArXivPDFHTML

Papers citing "A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties"

2 / 2 papers shown
Title
Stress field prediction in fiber-reinforced composite materials using a
  deep learning approach
Stress field prediction in fiber-reinforced composite materials using a deep learning approach
Anindya Bhaduri
Ashwini Gupta
L. Graham‐Brady
AI4CE
19
115
0
01 Nov 2021
Predicting Mechanically Driven Full-Field Quantities of Interest with
  Deep Learning-Based Metamodels
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels
S. Mohammadzadeh
Emma Lejeune
AI4CE
23
28
0
24 Jul 2021
1