Raimund Rolfes

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 9

Top Topics

Nonlinear Optimization

Mathematical Model

Top Venues

Adv. Model. Simul. Eng. Sci.

Publications

Betim Bahtiri, Behrouz Arash, Sven Scheffler, Maximilian Jux, Raimund Rolfes
A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites. CoRR (2024)
Behrouz Arash, Shadab Zakavati, Betim Bahtiri, Maximilian Jux, Raimund Rolfes
Cyclic viscoelastic-viscoplastic behavior of epoxy nanocomposites under hygrothermal conditions: A phase-field fracture model. CoRR (2024)
Betim Bahtiri, Behrouz Arash, Sven Scheffler, Maximilian Jux, Raimund Rolfes
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content. CoRR (2023)
Behrouz Arash, Wibke Exner, Raimund Rolfes
Effect of moisture on the nonlinear viscoelastic fracture behavior of polymer nanocompsites: a finite deformation phase-field model. Eng. Comput. 39 (1) (2023)
Ricarda Berger, Marlene Bruns, Andreas Ehrmann, Ayan Haldar, Jan Häfele, Benedikt Hofmeister, Clemens Hübler, Raimund Rolfes
EngiO - Object-oriented framework for engineering optimization. Adv. Eng. Softw. 153 (2021)
Cristian Guillermo Gebhardt, Marc Christian Steinbach, Dominik Schillinger, Raimund Rolfes
A Framework for Data-Driven Computational Dynamics Based on Nonlinear Optimization. CoRR (2019)
Cristian Guillermo Gebhardt, Dominik Schillinger, Marc Christian Steinbach, Raimund Rolfes
A Framework for Data-Driven Computational Mechanics Based on Nonlinear Optimization. CoRR (2019)
Hannes Koerber, Peter Kuhn, Marina Ploeckl, Fermin Otero, Paul-William Gerbaud, Raimund Rolfes, Pedro P. Camanho
Experimental characterization and constitutive modeling of the non-linear stress-strain behavior of unidirectional carbon-epoxy under high strain rate loading. Adv. Model. Simul. Eng. Sci. 5 (1) (2018)
Moritz W. Häckell, Raimund Rolfes, Michael B. Kane, Jerome P. Lynch
Three-Tier Modular Structural Health Monitoring Framework Using Environmental and Operational Condition Clustering for Data Normalization: Validation on an Operational Wind Turbine System. Proc. IEEE 104 (8) (2016)