143 citations · 166 across the 6 of their papers we have counts for
6 papers
Variational phase-field modeling of cohesive fracture with flexibly tunable strength surface
Francesco Vicentini, Jonas Heinzmann, Pietro Carrara +1
Variational phase-field models of brittle fracture are powerful tools for studying Griffith-type crack propagation in complex scenarios. However, as approximations of Griffith's th…
Fracture in concrete: X-ray tomography with in-situ testing, digital volume correlation and phase-field modeling
Akanksha Mishra, Pietro Carrara, Michele Griffa +1
We test and simulate the mesoscopic cracking behavior of specimens made of a standard concrete mixture. To this end, we combine stable wedge-splitting fracture experiments performe…
Predicting Crack Nucleation and Propagation in Brittle Materials Using Deep Operator Networks with Diverse Trunk Architectures
Elham Kiyani, Manav Manav, Nikhil Kadivar +2
Phase-field modeling reformulates fracture problems as energy minimization problems and enables a comprehensive characterization of the fracture process, including crack nucleation…
MeltpoolINR: Predicting temperature field, melt pool geometry, and their rate of change in laser powder bed fusion
Manav Manav, Nathanael Perraudin, Yunong Lin +4
We present a data-driven, differentiable neural network model designed to learn the temperature field, its gradient, and the cooling rate, while implicitly representing the melt po…
A review on data-driven constitutive laws for solids
Jan Niklas Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas +6
This review article highlights state-of-the-art data-driven techniques to discover, encode, surrogate, or emulate constitutive laws that describe the path-independent and path-depe…
Data-driven fracture mechanics
Pietro Carrara, Laura De Lorenzis, Laurent Stainier +1
We present a new data-driven paradigm for variational brittle fracture mechanics. The fracture-related material modeling assumptions are removed and the governing equations stemmin…