... , M. , Azarm , S. , and Boyars , A. , 2006 , “ A New Deterministic Approach Using Sensitivity Region Measures for Multi-objective Robust and Feasibility Robust Design Optimization ,” ASME J. Mech. Des. , 128 ( 4 ), pp. 874 – 883 . 10.1115/1.2202884 [2] Ben-Tal , A. , El...

... of uncertainties for new nominal designs. We can combine the proposed deep generative model with robust design optimization or reliability-based design optimization for design under uncertainty. We demonstrated the framework on two real-world engineering design examples and showed its capability of finding...

... functionally graded materials (FGMs) graphene platelets (GPLs) critical load Gauss–Laguerre quadrature realization vector set design optimization design theory and methodology robust design uncertainty analysis uncertainty modeling Traditional deterministic topology optimization (DTO) aims...

... robust design uncertainty analysis Design of complex systems (such as aircrafts and automobiles, etc.) by the all-in-one method is generally difficult to realize due to the incompatibility caused by different simulation tools and software platforms in different disciplines, complicated links...

... 2021 30 01 2021 15 03 2021 design methodology product design robust design systems design The internet of things (IoT) and the devices in it promise immense business value across a wide range of industry sectors. Examples are rapid transformation of customer-product...

... ournal of M echanical D esign . 12 09 2020 18 01 2021 18 01 2021 29 01 2021 agent based systems robust design Stackelberg game agent-based design McComb et al. [ 1 ] introduced the Cognitively-Inspired Simulated Annealing Teams (CISAT) framework, an agent-based...

... or locally optimal solutions, and how this is affected by their tools. 03 03 2020 07 08 2020 22 08 2020 16 10 2020 design optimization multiobjective optimization robust design uncertainty modeling Engineering designers use complex computational models to represent...

... 2020 22 02 2020 compliant mechanisms joining sequence digital twin design optimization robust design simulation-based design tolerance analysis and design Securing geometry of the produced assemblies has grasped a lot of attention from the early 20th century [ 1 ]. Methods...

...Anand Balu Nellippallil; Pranav Mohan; Janet K. Allen; Farrokh Mistree In this paper, we extend our previous work on a goal-oriented inverse design method to carry out inverse robust design by managing the uncertainty involved. The extension embodies the introduction of specific robust design goals...

... quality loss is obtained directly during the regression model building process. Four examples are used to demonstrate the robustness analysis method. The proposed method can be used for robustness analysis during robust design optimization (RDO) under time- and space-dependent uncertainty. 08 06...

... ( 2 ), pp. 323 – 334 . 10.1007/s10898-009-9496-x [9] Li , M. , Azarm , S. , and Aute , V. , 2005 , “ A Multi-Objective Genetic Algorithm for Robust Design Optimization ,” Proceedings of the 7th Annual Conference on Genetic and Evolutionary Computation , Washington, DC , June...

... , F. , 1996 , “ A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors ,” ASME J. Mech. Des. , 118 ( 4 ), pp. 478 – 485 . 10.1115/1.2826915 [2] Arendt , P. D. , Apley , D. W. , and Chen , W. , 2013 , “ Objective-Oriented Sequential...

... by proposing and solving a novel problem formulation based on robust design optimization (RDO) principles. Specifically, a co-design method known as multidisciplinary dynamic system design optimization (MDSDO) is used as the basis for an RDO problem formulation and implementation. The robust objective...

... optimization Design automation Design optimization Multiobjective optimization Robust design Optimization This work is primarily motivated by theoretical and practical considerations related to engineering design automation processes. Concretely, the presented approach stems from the desire...

...Mengyu Wang; Hanumanthrao Kannan; Christina Bloebaum In probabilistic approaches to engineering design, including robust design, mean and variance are commonly used as the optimization objectives. This method, however, has significant limitations. For one, some mean–variance Pareto efficient...

... Arithmetic/Affine Arithmetic Approach for Robust Design Optimization With Interval Uncertainty ,” ASME J. Mech. Des. , 138 ( 4 ), p. 041403 . 10.1115/1.4032630 [14] Ayyub , B. , Akpan , U. , Koko , T. , and Dunbar , T. , 2015 , “ Reliability-Based Optimal Design of Steel Box...

... ,” ASME J. Mech. Des. , 130 ( 12 ), p. 121401 . 10.1115/1.2988476 [12] Arvidsson , M. , and Gremyr , I. , 2008 , “ Principles of Robust Design Methodology ,” Quality Reliab. Eng. Int. , 24 ( 1 ), pp. 23 – 35 . 10.1002/qre.864 [13] Park , G. , Lee , T. , Lee , D...

... technical briefs that are presented in this special issue highlight developments in uncertainty propagation and design using probabilistic and nonprobabilistic methods, uncertainty reduction and risk management in design, algorithms for robust design, model validation, design for resilience...

... specific subdefinitions of robustness, namely the “robust concept,” “robust design,” “robust function,” and “robust product.” 1 Corresponding author. Contributed by the Design Automation Committee of ASME for publication in the J OURNAL OF M ECHANICAL D ESIGN . Manuscript received February 29...

... * , f 2 * ) to the Pareto front set after dominance checking. In this section, the proposed RS-MDO method is introduced in detail. First, we solve the issues in the full autonomy optimization stage, and a robust design point is found for each subsystem. Then the strategy to handle the coupling...