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

Engineering Fracture Mechanics, vol. 314, pp. 110675

Authors 5

1. Rasoul Najafi Koopas corresponding
2. Shahed Rezaei Aachen Access e.V

   Access

   Affiliation as printed

   Access e.V., Aachen, Germany

3. Natalie Rauter

   Helmut Schmidt University

   Affiliation as printed

   Chair of Solid Mechanics, Helmut-Schmidt University/University of the Federal Armed Forces, Holstenhofweg 85, Hamburg, 22043, Germany

4. Richard Ostwald

   Paderborn University

   Affiliation as printed

   Chair of Structural and Material Mechanics, Institute for Lightweight Design with Hybrid Systems, University of Paderborn, Pohlweg 47-49, Paderborn, 33098, Germany

5. Rolf Lammering

   Helmut Schmidt University

   Affiliation as printed

   Chair of Solid Mechanics, Helmut-Schmidt University/University of the Federal Armed Forces, Holstenhofweg 85, Hamburg, 22043, Germany