7 papers
Learning finite viscoelasticity with DAVIS: A supervised framework for generalized standard materials
Simon Wiesheier, Paul Steinmann, Miguel Angel Moreno-Mateos
This work revisits the recently proposed data-adaptive viscoelasticity (DAVIS) framework, a spline-based formulation of finite viscoelasticity within the generalized standard mater…
Learning ultra-compressible hyperelasticity with splines: Constitutive asymmetries and non-unique representations
Miguel Angel Moreno-Mateos, Simon Wiesheier, Paul Steinmann +1
Highly compressible solids, such as foams, exhibit complex responses, including pronounced tension-compression asymmetry. Capturing such behaviors within unified hyperelastic frame…
Data-adaptive spline surfaces for non-separable hyperelastic energy functions
Simon Wiesheier, Miguel Angel Moreno-Mateos, Paul Steinmann
Invariant-based models for incompressible isotropic hyperelasticity are typically formulated as functions of the first and second invariants, . A widel…
Unsupervised Material Fingerprinting: Ultra-fast hyperelastic model discovery from full-field experimental measurements
Moritz Flaschel, Miguel Angel Moreno-Mateos, Simon Wiesheier +2
Material Fingerprinting is a lookup table-based strategy to discover material models from experimental measurements, which completely avoids the need to solve an optimization probl…
Cutting soft materials: how material differences shape the response
Miguel Angel Moreno-Mateos, Paul Steinmann
Cutting soft materials is a complex process governed by the interplay of bulk large deformation, interfacial soft fracture, and contact forces with the cutting tool. Existing exper…
Configurational forces explain echelon cracks in soft materials
Angel Santarossa, Nydia Roxana Varela-Rosales, Paul Steinmann +1
Soft fracture in highly deformable solids involves both geometric and constitutive nonlinearities, necessitating advanced theoretical and computational frameworks for its accurate…