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Michael D. Shields ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Thaler, Denny / Dhulipala, Somayajulu L. N. / Bamer, Franz / Markert, Bernd / Shields, Michael D. (2024): Reliability analysis of complex systems using subset simulations with Hamiltonian Neural Networks. In: Structural Safety, v. 109 (Juli 2024).

    https://doi.org/10.1016/j.strusafe.2024.102475

  2. Chakroborty, Promit / Dhulipala, Somayajulu L. N. / Che, Yifeng / Jiang, Wen / Spencer, Benjamin W. / Hales, Jason D. / Shields, Michael D. (2023): General Multifidelity Surrogate Models: Framework and Active-Learning Strategies for Efficient Rare Event Simulation. In: Journal of Engineering Mechanics (ASCE), v. 149, n. 12 (Dezember 2023).

    https://doi.org/10.1061/jenmdt.emeng-7111

  3. Fang, Pei-Pei / Liu, Yong / Shields, Michael D. (2022): Direct Simulation Methods for a Class of Normal and Lognormal Random Fields with Applications in Modeling Material Properties. In: Journal of Engineering Mechanics (ASCE), v. 148, n. 2 (Februar 2022).

    https://doi.org/10.1061/(asce)em.1943-7889.0002076

  4. Bhaduri, Anindya / Meyer, Christopher S. / Gillespie, John W. / Haque, Bazle Z. "Gama" / Shields, Michael D. / Graham-Brady, Lori (2021): Probabilistic Modeling of Discrete Structural Response with Application to Composite Plate Penetration Models. In: Journal of Engineering Mechanics (ASCE), v. 147, n. 11 (November 2021).

    https://doi.org/10.1061/(asce)em.1943-7889.0001996

  5. Shields, Michael D. / Giovanis, Dimitris G. / Sundar, V. S. (2021): Subset simulation for problems with strongly non-Gaussian, highly anisotropic, and degenerate distributions. In: Computers & Structures, v. 245 (März 2021).

    https://doi.org/10.1016/j.compstruc.2020.106431

  6. Shields, Michael D. / Au, Siu-Kui / Sudret, Bruno (2019): Advances in Simulation-Based Uncertainty Quantification and Reliability Analysis. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 5, n. 4 (Dezember 2019).

    https://doi.org/10.1061/ajrua6.0001025

  7. Sundar, V. S. / Shields, Michael D. (2019): Reliability Analysis Using Adaptive Kriging Surrogates with Multimodel Inference. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 5, n. 2 (Juni 2019).

    https://doi.org/10.1061/ajrua6.0001005

  8. Kim, Hwanpyo / Shields, Michael D. (2015): Modeling strongly non-Gaussian non-stationary stochastic processes using the Iterative Translation Approximation Method and Karhunen–Loève expansion. In: Computers & Structures, v. 161 (Dezember 2015).

    https://doi.org/10.1016/j.compstruc.2015.08.010

  9. Zhu, Mu / Yang, Yang / Guest, James K. / Shields, Michael D. (2017): Topology optimization for linear stationary stochastic dynamics: Applications to frame structures. In: Structural Safety, v. 67 (Juli 2017).

    https://doi.org/10.1016/j.strusafe.2017.04.004

  10. Sundar, V. S. / Shields, Michael D. (2016): Surrogate-enhanced stochastic search algorithms to identify implicitly defined functions for reliability analysis. In: Structural Safety, v. 62 (September 2016).

    https://doi.org/10.1016/j.strusafe.2016.05.001

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