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Keywords: uncertainty
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2023, 145(9): 091709.
Paper No: MD-23-1071
Published Online: July 19, 2023
...Saeed Azad; Daniel R. Herber This article explores various uncertain control co-design (UCCD) problem formulations. While previous work offers formulations that are method-dependent and limited to only a handful of uncertainties (often from one discipline), effective application of UCCD to real...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2023, 145(2): 022001.
Paper No: MD-22-1495
Published Online: November 1, 2022
... an optimization framework for disassembly sequence planning under uncertainty considering human–robot collaboration. The proposed framework combines three attributes: disassembly cost, safety, and complexity of disassembly, namely disassembleability, to identify the optimal disassembly path and allocate...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2022, 144(11): 111702.
Paper No: MD-22-1115
Published Online: July 22, 2022
... with EMD, an angle metric is developed as an alternative of the area metric to reduce the misjudgment rate of model validation. In order to quantify the uncertainty due to insufficient experimental and simulation data, the angle metric is further extended to a new interval angle metric, namely the interval...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2022, 144(4): 041701.
Paper No: MD-21-1346
Published Online: November 9, 2021
.... There are no conflicts of interest. References [1] Bae , S. , Kim , N. H. , and Jang , S. G. , 2019 , “ System Reliability-Based Design Optimization Under Tradeoff Between Reduction of Sampling Uncertainty and Design Shift ,” ASME J. Mech. Des. , 141 ( 4 ), p. 041403 . 10.1115/1.4041859...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031712.
Paper No: MD-20-1401
Published Online: January 27, 2021
... a system’s total lifetime value by reducing sensitivity to requirement changes and truncating change propagation. Quantitatively studying excess margin beyond what is required for known uncertainties has been particularly challenging as information is needed about how requirements change, how system...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031701.
Paper No: MD-20-1154
Published Online: October 9, 2020
...Yixuan Liu; Chen Jiang; Zissimos P. Mourelatos; David Gorsich; Paramsothy Jayakumar; Yan Fu; Monica Majcher; Zhen Hu This paper develops a simulation-based mission mobility reliability (MMR) analysis framework to account for uncertainty in mobility prediction of off-road ground vehicles in mission...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2020, 142(5): 051402.
Paper No: MD-19-1049
Published Online: November 20, 2019
... and experiments). New samples are often selected based on the estimated uncertainty in the design space. While some surrogates such as kriging have readily available uncertainty models for their predictions, other surrogates do not. Consequently, there have been studies of using the process of leaving-samples-out...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. June 2019, 141(6): 061401.
Paper No: MD-18-1341
Published Online: January 31, 2019
... want to supplement point forecasts with prediction intervals to assess future uncertainty and make contingency plans accordingly. However, prediction intervals generation for technology evolution has received scant attention in the literature. In this paper, we develop a generic method that uses...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. March 2017, 139(3): 031402.
Paper No: MD-16-1340
Published Online: January 12, 2017
...Young Kap Son; Gordon J. Savage This paper presents a novel approach to determine the stability space of nonlinear, uncertain dynamic systems that obviates the traditional eigenvalue approach and the accompanying linearizing approximations. In the new method, any long-term dynamic uncertainty...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des. March 2014, 136(3): 034501.
Paper No: MD-12-1012
Published Online: January 10, 2014
... model uncertainty, by using the nonprobabilistic reliability index, the reliability of the structure is then only related to the bounds of the limit-state function over the uncertainty domain. In the system reliability analysis, as the reliability domain varies, the limit-state bounds can generally...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. March 2014, 136(3): 031004.
Paper No: MD-12-1608
Published Online: January 10, 2014
.... References [1] Haldar , A. , and Mahadevan , S. , 2000 , Probability, Reliability, and Statistical Methods in Engineering Design , Wiley , New York . [2] Picheny , V. , 2009 , “ Improving Accuracy and Compensating for Uncertainty in Surrogate Modeling ,” Ph.D. thesis, Aerospace...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2010, 132(9): 091007.
Published Online: September 16, 2010
.... The resulting uncertainty must be accounted for in the decision-making process. This paper proposes a method for estimating the environmental impact of a product’s life cycle and the associated degree of uncertainty of that impact using information generated during the design process. Total impact is estimated...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2010, 132(2): 021010.
Published Online: February 9, 2010
... in the Presence of Uncertainties ,” Struct. Multidiscip. Optim. 1615-147X , 34 ( 6 ), pp. 463 – 472 . 10.1007/s00158-007-0100-z Basudhar , A. , Missoum , S. , and Harrison Sanchez , A. , 2008 , “ Limit State Function Identification Using Support Vector Machines for Discontinuous Responses...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2006, 128(4): 909–918.
Published Online: January 25, 2006
...Subroto Gunawan; Panos Y. Papalambros In engineering design, information regarding the uncertain variables or parameters is usually in the form of finite samples. Existing methods in optimal design under uncertainty cannot handle this form of incomplete information; they have to either discard some...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2006, 128(4): 991–1000.
Published Online: October 26, 2005
... is proposed that matches the first two moments of interrelated responses and linking variables. Several implementation issues are addressed, including representation of probabilistic design targets, matching responses and linking variables under uncertainty, and coordination strategies. Analytical...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2006, 128(5): 1038–1049.
Published Online: August 10, 2005
...Raphael T. Haftka; Raluca I. Rosca; Efstratios Nikolaidis To address the need for efficient and unbiased experimental testing of methods for modeling uncertainty that are used for decision making, we devise an approach for probing weaknesses of these methods by running numerical experiments...
Journal Articles
Publisher: ASME
Article Type: Article
J. Mech. Des. March 2005, 127(2): 315–325.
Published Online: March 25, 2005
... uncertainty is presented. First, Bayes’ formula is used in conjunction with information extracted from the Failure Modes and Effects Analysis (FMEA), Fault Tree Analysis (FTA), component reliability, and prior system knowledge to construct the Component-Indication Joint Probability Matrix (CIJPM). The CIJPM...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Mech. Des. March 2002, 124(1): 1–13.
Published Online: August 1, 2000
... lottery. In non-deterministic optimization where uncertainty and risk cannot be neglected, the decision maker’s risk preference towards money must be taken into consideration. In general, the risk preference of the decision maker towards money leads to a utility of money that has diminishing marginal...