... reliability in design uncertainty analysis uncertainty modeling Rare events are events that have low probabilities of occurring (e.g., p ≤ 10 − 4 ), but are significant enough to justify an accurate study. For example, in the engineering design process of structures, assessing the probability...

... are inevitable in both the physical and digital worlds. In the future work, the proposed method will be extended to TRA considering the correlations between variables. In addition, time-dependent reliability-based design optimization utilizing the methodologies proposed in this article merits investigation...

... for publication in the J ournal of M echanical D esign . 29 06 2022 05 05 2023 11 05 2023 15 06 2023 radial basis function neural network most probable point structural reliability analysis latin hypercube sampling particle swarm optimization reliability in design...

... . This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States. Approved for public release; distribution is unlimited. 14 06 2022 15 11 2022 19 11 2022 12 12 2022 resilience fault modeling simulation reliability...

... positioning accuracy evidence theory correlation epistemic uncertainty industrial robot kinematics reliability in design robot kinematics uncertainty analysis National Natural Science Foundation of China 10.13039/501100001809 51975199 As one of the effective means to improve...

...Jeong Woo Park; Ikjin Lee In engineering applications of sampling-based reliability-based design optimization (RBDO), the Monte Carlo simulation (MCS) using a surrogate model of the performance function is mainly used for the probability of failure calculation and sensitivity analysis. However...

... and 4.7 mm, respectively. Our previous work [ 42 ] developed a reliability-based design optimization method based on the FM-MEM for optimizing the weight of this stiffened panel. Herein, we adopt the optimal design of Ref. [ 42 ] as the parameters of the random input variables, as listed in Table 11...

...Xiang Peng; Yujie Shao; Weifei Hu; Jiquan Li; Zhenyu Liu; Shaofei Jiang The critical problem of reliability design is how to obtain a more accurate failure probability with a smaller number of evaluations of actual complex and nonlinear performance function. To achieve this objective, an adaptive...

... and/or their ability to be repeated linearly or radially. Air Force Office of Scientific Research 10.13039/100000181 FA9550-19- 1-0290 FA9550-19- 1-0290 kinematics linkages reliability in design 03 08 2021 17 03 2022 21 03 2022 30 06 2022 Contributed...

... of this work was published in ASME 2021 International Design Engineering Technical Conferences. 10 11 2021 16 05 2022 20 05 2022 13 06 2022 artificial intelligence data-driven design design automation design for X machine learning mobile robots reliability in design...

... , l (Ω) is the length of Ω, and d represents the coordinates of the path. To incorporate postdesign operation into design and guarantee the reliability of AGV during operation in early design stages, the following reliability-based design optimization model must be solved (9) min...

... lifecycle is critical to both design and operations of practical engineering systems. To take into account system performance degradation over time, time-dependent probabilistic constraints have been introduced to the design decision-making frameworks, e.g., reliability-based design optimization (RBDO) [ 1...

... 2022 22 04 2022 data-driven design design for the environment life cycle analysis and design reliability in design sustainable design Office of Energy Efficiency and Renewable Energy 10.13039/100006134 DE-EE0007897 The rapid industrial development and increasing...

... to stochastic dynamic systems. In their most rigorous approach, reliability-based design optimization (RBDO) principles have been used to ensure solution feasibility under uncertainty. However, since existing reliability-based CCD (RBCCD) algorithms use all-at-once formulations, only most-probable-point (MPP...

... rapidly exploring random tree uncertain environment mobile robots reliability in design simulation-based design uncertainty analysis uncertainty modeling Automotive Research Center 10.13039/100008192 W56HZV-04-2-0001 Identifying a reliable mission path is important for off-road...

... the proposed method when most of the input variables are important. We will also study the possibility of applying the proposed method to reliability-based design optimization. We would like to acknowledge the support from the National Science Foundation under Grant No. 1923799. The authors...

... reliability system Bayesian method uncertainty optimization reliability in design simulation-based design systems design uncertainty analysis For many system design problems, it is crucial to predict the reliability of the system under design. The reliability prediction can help not only...

.../j.cma.2020.113386 [4] Yang , M. , Zhang , D. , Jiang , C. , Han , X. , and Li , Q. , 2021 , “ A Hybrid Adaptive Kriging-Based Single Loop Approach for Complex Reliability-Based Design Optimization Problems ,” Reliab. Eng. Syst. Saf. , 215 , p. 107736 . 10.1016/j.ress...

... by the Design for Manufacturing Committee of ASME for publication in the J ournal of M echanical D esign . 28 08 2020 18 01 2021 22 01 2021 08 04 2021 gas turbine LCF compressor predictive maintenance data-driven design design automation reliability in design risk-based...

...Jianhua Yin; Xiaoping Du Reliability-based design (RBD) employs optimization to identify design variables that satisfy the reliability requirement. For many routine component design jobs that do not need optimization, however, RBD may not be applicable, especially for those design jobs which...