| 2024 | Zhibao Zheng, David Néron, Udo Nackenhorst: A stochastic LATIN method for stochastic and parameterized elastoplastic analysis. In: Computer Methods in Applied Mechanics and Engineering, 2024, |
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| 2023 | Zhibao Zheng, Udo Nackenhorst: A nonlinear stochastic finite element method for solving elastoplastic problems with uncertainties. In: International Journal for Numerical Methods in Engineering, 2023, |
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| 2023 | Zhibao Zheng, Marcos Valdebenito, Michael Beer, Udo Nackenhorst: A stochastic finite element scheme for solving partial differential equations defined on random domains. In: Computer Methods in Applied Mechanics and Engineering, 2023, |
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| 2023 | Zhibao Zheng, Michael Beer, Udo Nackenhorst: An iterative multi-fidelity scheme for simulating multi-dimensional non-Gaussian random fields. In: Probabilistic Engineering Mechanics, 2023, |
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| 2023 | Zhibao Zheng, Udo Nackenhorst: Semi-reduced order stochastic finite element methods for solving contact problems with uncertainties. In: Computational Mechanics, 2023, |
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| 2023 | Zhibao Zheng, Marcos Valdebenito, Michael Beer, Udo Nackenhorst: Simulation of random fields on random domains. In: Probabilistic Engineering Mechanics, 2023, |
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| 2023 | Zhibao Zheng, Udo Nackenhorst: Stochastic virtual element methods for uncertainty propagation of stochastic linear elasticity. In: Computational Mechanics, 2023, |
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| 2022 | Zhibao Zheng, Michael Beer, Hongzhe Dai, Udo Nackenhorst: A weak-intrusive stochastic finite element method for stochastic structural dynamics analysis. In: Computer Methods in Applied Mechanics and Engineering, 2022, |
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| 2022 | Zhibao Zheng, Michael Beer, Udo Nackenhorst: An efficient reduced-order method for stochastic eigenvalue analysis. In: International Journal for Numerical Methods in Engineering, 2022, |
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