Johannes Reiner

TL;DR: A novel approach for damage characterization through machine learning is presented where theoretical knowledge of failure and strain-softening is linked to the macroscopic response of quasi-isotropic composite laminates in over-height compact tension tests, demonstrating the effectiveness of machine learning to reduce experimental efforts forDamage characterization in composites.

TL;DR: In this article, a three-dimensional thermo-mechanical finite element (FE) model is presented for the orthogonal cutting simulation of unidirectional carbon fiber reinforced polymer (UD-CFRP) materials.

TL;DR: In this article, the authors developed a numerical framework for the simulation of damage in composite structures using explicit time integration, where Lagrange polynomials are used to represent the displacement field through the thickness of each ply, resulting in a layer-wise element model.

TL;DR: In this paper, an experimental and numerical study on low-velocity impact responses on [Ti/0/90]s hybrid titanium composite laminates (HTCLs) is presented.

TL;DR: In this article, two continuum damage models with different underlying assumptions are investigated to assess their predictive capabilities and limitations with respect to progressive intra-laminar damage in notched IM7/8552 CFRP composite laminates under tension.