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A fully separated space-time decomposition for the simulation of viscoelastic structures
Geisler, H., Néron, D. & Junker, P., Oct 2025, In: Computers and Structures. 317, 107912.Research output: Contribution to journal › Article › Research › peer review
Open Access -
A new paradigm for the efficient inclusion of stochasticity in engineering simulations: Time-separated stochastic mechanics
Geisler, H., Erdogan, C., Nagel, J. & Junker, P., Jan 2025, In: Computational Mechanics. 75, 1, p. 211–235 25 p., 103366.Research output: Contribution to journal › Article › Research › peer review
Open Access -
Efficient damage simulations under material uncertainties in a weakly intrusive implementation
Geisler, H., Baranger, E. & Junker, P., 29 Jan 2025, In: Journal of Mechanics of Materials and Structures. 20, 1, p. 15-31 17 p.Research output: Contribution to journal › Article › Research › peer review
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Uncertainty quantification for inelastic materials and structures: Time-separated stochastic mechanics
Geisler, H., 2025, Garbsen: Institut für Kontinuumsmechanik, Leibniz Universität Hannover. 160 p.Research output: Thesis › Doctoral thesis
Open Access -
Efficient and accurate uncertainty quantification in engineering simulations using time-separated stochastic mechanics
Geisler, H. & Junker, P., Sept 2024, In: Archive of applied mechanics. 94, 9, p. 2603-2617 15 p.Research output: Contribution to journal › Article › Research › peer review
Open Access
Datasets
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Boundary value problems of the paper "Simulation of the dynamic behavior of viscoelastic structures with random material parameters using time-separated stochastic mechanics"
Geisler, H. (Creator), Nagel, J. (Creator) & Junker, P. (Creator), Forschungsdaten-Repositorium der LUH, 2022
DOI: 10.25835/s9r0w83z, https://data.uni-hannover.de/dataset/ceb7bae4-fab0-4636-b83d-61e03d1ef176
Dataset