Article – Institute of Continuum Mechanics – Leibniz University Hannover

A gradient-enhanced bone remodelling approach to avoid the checkerboard phenomenon. / Bensel, Fynn; Reiber, Marlis; Foulatier, Elise et al.
In: Computational mechanics, Vol. 73, No. 6, 06.2024, p. 1335-1349.

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One-point quadrature of higher-order finite and virtual elements in nonlinear analysis. / Bode, Tobias.
In: Computational mechanics, Vol. 73, No. 5, 05.2024, p. 1187-1202.

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A numerical framework for modelling tire mechanics accounting for composite materials, large strains and frictional contact. / Cornejo, A.; Mataix, V.; Wriggers, P. et al.
In: Computational mechanics, Vol. 73, No. 1, 01.2024, p. 1-25.

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DEM simulations using convex NURBS particles. / Craveiro, Marina Vendl; Gay Neto, Alfredo; Wriggers, Peter.
In: Computational Particle Mechanics, Vol. 11, No. 3, 06.2024, p. 1087-1118.

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An energy-based material model for the simulation of shape memory alloys under complex boundary value problems. / Erdogan, Cem; Bode, Tobias; Junker, Philipp.
In: Computer Methods in Applied Mechanics and Engineering, Vol. 429, 117134, 01.09.2024.

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Element differential method for contact problems with non-conforming contact discretization. / Fan, Wei Long; Gao, Xiao Wei; Zheng, Yong Tong et al.
In: Engineering with computers, 09.04.2024.

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A new paradigm for the efficient inclusion of stochasticity in engineering simulations: Time-separated stochastic mechanics. / Geisler, Hendrik; Erdogan, Cem; Nagel, Jan et al.
In: Computational mechanics, 02.07.2024.

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Efficient and accurate uncertainty quantification in engineering simulations using time-separated stochastic mechanics. / Geisler, Hendrik; Junker, Philipp.
In: Archive of applied mechanics, 29.05.2024.

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Uncertainty quantification for viscoelastic composite materials using time-separated stochastic mechanics. / Geisler, Hendrik; Junker, Philipp.
In: Probabilistic Engineering Mechanics, Vol. 76, 103618, 04.2024.

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The J-Integral Method Compared to the API 579-1/ASME FFS-1 Standard to Calculate Stress Intensity Factor (SIF): Leak-Before-Break (LBB) Application with Uncertainty Quantification. / Ghasemi, Hamid; Hamdia, Khader M.
In: Arabian Journal for Science and Engineering, Vol. 49, No. 4, 04.2024, p. 4643-4654.

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