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International RTG 2657: Computational Mechanics Techniques in High Dimensions

Organisational unit: DFG Research Trainig Group (RTG)

Type of address: Visitor address.
Appelstraße 11/11a
30167
Hannover
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Publications

  1. 2022
  2. Published

    An efficient reduced-order method for stochastic eigenvalue analysis

    Zheng, Z., Beer, M. & Nackenhorst, U., 9 Nov 2022, In: International Journal for Numerical Methods in Engineering. 123, 23, p. 5884-5906 23 p.

    Research output: Contribution to journalArticleResearchpeer review

  3. Published

    Anisotropic multi-element polynomial chaos expansion for high-dimensional non-linear structural problems

    Basmaji, A. A., Fau, A., Urrea-Quintero, J. H., Dannert, M. M., Voelsen, E. & Nackenhorst, U., Oct 2022, In: Probabilistic Engineering Mechanics. 70, 103366.

    Research output: Contribution to journalArticleResearchpeer review

  4. Published

    The Log-Rayleigh Distribution for Local Maxima of spectrally Represented Log-normal Processes

    Grashorn, J., Bittner, M., Wang, C. & Beer, M., Sept 2022, The 8th International Symposium On Reliability Engineering and Management (ISRERM 2022). p. 793-799

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  5. Published

    A weak-intrusive stochastic finite element method for stochastic structural dynamics analysis

    Zheng, Z., Beer, M., Dai, H. & Nackenhorst, U., 16 Jul 2022, In: Computer Methods in Applied Mechanics and Engineering. 399, 115360.

    Research output: Contribution to journalArticleResearchpeer review

  6. Published

    Investigations on the restrictions of stochastic collocation methods for high dimensional and nonlinear engineering applications

    Dannert, M. M., Bensel, F., Fau, A., Fleury, R. M. N. & Nackenhorst, U., Jul 2022, In: Probabilistic Engineering Mechanics. 69, 103299.

    Research output: Contribution to journalArticleResearchpeer review

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