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

  1. Do, Bach / Ohsaki, Makoto (2023): Bayesian optimization-assisted approximate Bayesian computation and its application to identifying cyclic constitutive law of structural steels. In: Computers & Structures, v. 286 (Oktober 2023).

    https://doi.org/10.1016/j.compstruc.2023.107111

  2. Ohsaki, Makoto / Do, Bach / Fujiwara, Jun / Kimura, Toshiaki / Yamashita, Takuzo (2022): Two-step parameter identification of multi-axial cyclic constitutive law of structural steels from cyclic structural responses. In: Structures, v. 46 (Dezember 2022).

    https://doi.org/10.1016/j.istruc.2022.11.007

  3. Do, Bach / Ohsaki, Makoto (2022): Bayesian optimization for inverse identification of cyclic constitutive law of structural steels from cyclic structural tests. In: Structures, v. 38 (April 2022).

    https://doi.org/10.1016/j.istruc.2022.02.054

  4. Do, Bach / Ohsaki, Makoto (2022): Sequential sampling approach to energy‐based multi‐objective design optimization of steel frames with correlated random parameters. In: Earthquake Engineering and Structural Dynamics, v. 51, n. 3 (März 2022).

    https://doi.org/10.1002/eqe.3581

  5. Do, Bach / Ohsaki, Makoto / Yamakawa, Makoto (2021): Bayesian optimization for robust design of steel frames with joint and individual probabilistic constraints. In: Engineering Structures, v. 245 (Oktober 2021).

    https://doi.org/10.1016/j.engstruct.2021.112859

  6. Do, Bach / Ohsaki, Makoto (2021): A random search for discrete robust design optimization of linear-elastic steel frames under interval parametric uncertainty. In: Computers & Structures, v. 249 (Juni 2021).

    https://doi.org/10.1016/j.compstruc.2021.106506

  7. Do, Bach / Lenwari, Akhrawat (2020): Optimization of Fiber-Reinforced Polymer Patches for Repairing Fatigue Cracks in Steel Plates Using a Genetic Algorithm. In: Journal of Composites for Construction, v. 24, n. 2 (April 2020).

    https://doi.org/10.1061/(asce)cc.1943-5614.0001005

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