.../501100000266 EP/R006768/1 design process uncertainty analysis uncertainty modeling 27 09 2024 27 01 2025 30 01 2025 26 02 2025 Contributed by Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . Email: jiannan.yang...

... characteristic of uncertain parameters in the dynamic uncertainty analysis of the model is considered in this article, effectively enhancing the accuracy of the dynamic response. The mechanical design and kinematic modeling are conducted, and the dynamic model is established based on the Lagrangian method. Thus...

... equivalent component reliability method uncertainty analysis 16 02 2024 21 10 2024 24 10 2024 18 11 2024 Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . Email: zhang_junfu@126.com The three examples...

... Uncertainty Analysis of a Cable-Driven Parallel Robot Based on an Error Transfer Model ,” ASME J. Mech. Rob. , 14 ( 5 ), p. 051008 . 10.1115/1.4053219 cable-driven parallel robot mechanical design kinematic error modeling multiobjective optimization uncertainty analysis Cable-driven...

... statistical moment function mixed-degree cubature formula Box–Cox transformation moment method reliability in design uncertainty analysis National Natural Science Foundation of China 10.13039/501100001809 12272300 12302154 In view of the widespread uncertainty in the engineering...

... design systems design uncertainty analysis Design formulations for dynamic systems must account for the synergistic interactions of the plant and control parts. This is necessary for these formulations in order to yield system-level optimal solutions. In traditional design formulations...

... symmetric rank 1 algorithm adaptive kriging model reliability in design uncertainty analysis Graphical Abstract Figure 15 05 2023 11 01 2024 11 01 2024 05 03 2024 Contributed by the Design Automation Committee of ASME for publication in the J ournal of M...

..., including simulation-based design optimization and uncertainty analysis. The application of GP-based surrogate models in these areas enable engineers and researchers to efficiently assess and account for uncertainties in diverse engineering processes, providing valuable insights for decision-making and risk...

... spatial variations high-dimensionality knowledge reasoning reliability in design simulation-based design uncertainty analysis uncertainty modeling 11 07 2023 17 11 2023 21 11 2023 12 01 2024 Contributed by the Design Automation Committee of ASME for publication...

... ournal of M echanical D esign . 07 08 2023 29 11 2023 30 11 2023 18 12 2023 fractional moment maximum entropy method reliability analysis polynomial modification reliability in design uncertainty analysis uncertainty modeling Structural reliability analysis...

... learning design automation metamodeling simulation-based design uncertainty analysis Table 4 Comparison of different number of GPR models for scenario 1 Test no. Time period ISO score (0, 20) ms (0, 40) ms (0, 60) ms 3 CAE 0.774 0.768 0.822 Single GPR 0.863...

... multi-objective optimization reliability in design uncertainty analysis uncertainty modeling Office of Naval Research 10.13039/100000006 N000142212459 Many systems are now integrated with advanced sensors and computing technology, resulting in a continuous flow of abundant...

... problem design automation reliability in design uncertainty analysis uncertainty modeling This section briefly reviews the Monte Carlo simulation method for probability estimation with confidence intervals. Section 2.1 briefly reviews the MCS method and analyzes the challenges in rare event...

... . 10.1115/1.4052624 [4] Ouyang , H. , Liu , J. , Han , X. , Liu , G. , Ni , B. , and Zhang , D. , 2020 , “ Correlation Propagation for Uncertainty Analysis of Structures Based on Non-Probabilistic Ellipsoidal Model ,” Appl. Math. Model. , 88 , pp. 190 – 207 . 10.1016...

... [7] Zhang , Z. , Ruan , X. X. , Duan , M. F. , and Jiang , C. , 2018 , “ An Efficient Epistemic Uncertainty Analysis Method Using Evidence Theory ,” Comput. Methods Appl. Mech. Eng. , 339 , pp. 443 – 466 . 10.1016/j.cma.2018.04.033 [8] Jiang , C. , Han , X...

... for publication in the J ournal of M echanical D esign . 13 06 2022 21 12 2022 31 12 2022 24 01 2023 design optimization time- and space-dependent reliability analysis uncertainty analysis Engineers always encounter uncertainty in material properties, part dimensions...

... uncertainty industrial robot kinematics reliability in design robot kinematics uncertainty analysis Through the marginal focal elements and the corresponding BPAs of each evidence variable, the joint focal elements can be defined by Cartesian product as follows: (24) { Y I ( k 1...

... metamodeling multiobjective optimization uncertainty analysis Multiscale models are increasingly employed to quantify the effects of manufacturing-induced microscopic defects on the performance of macroscopic components. In such models, a microstructure or a representative volume element (RVE...

... mapping design methodology metamodeling reliability in design uncertainty analysis National Research Foundation of Korea 10.13039/501100003725 2021K2A9A2A06044278 FY2021 Over the past decades, reliability-based design optimization (RBDO) has been widely used for engineering...