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A novel probabilistic feasible region method for reliability-based design optimization with varying standard deviation.

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Titel: A novel probabilistic feasible region method for reliability-based design optimization with varying standard deviation.
Autoren: Wu, Zihao, Chen, Zhenzhong, Chen, Ge, Li, Xiaoke, Jiang, Chen, Gan, Xuehui, Qiu, Haobo, Gao, Liang
Quelle: Journal of Mechanical Science & Technology; Sep2023, Vol. 37 Issue 9, p4787-4800, 14p
Schlagwörter: STANDARD deviations, PROBLEM solving
Abstract: An effective method for reliability-based design optimization (RBDO) problems taking uncertainties into account is the probabilistic feasible region (PFR) approach. The PFR approach is built around the fixed nature of the standard deviation in general RBDO problems. Therefore, the accuracy of the PFR approach will be affected when dealing with RBDO problems with varying standard deviation. To improve the accuracy of PFR method in solving the RBDO problems with varying standard deviation, a novel probabilistic feasible region strategy considering varying standard deviations (PFR-vstd) approach is suggested in this paper. In place of the initial probabilistic feasible region in standard normal space, a new probabilistic feasible region is established in original design space in this novel approach. The results of four applications demonstrate the high accuracy and sufficient efficiency of PFR-vstd method. The findings demonstrate that PFR-vstd method is capable of accurately resolving RBDO problems with varying standard deviation. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Mechanical Science & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A novel probabilistic feasible region method for reliability-based design optimization with varying standard deviation.
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  Data: <searchLink fieldCode="AR" term="%22Wu%2C+Zihao%22">Wu, Zihao</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Zhenzhong%22">Chen, Zhenzhong</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Ge%22">Chen, Ge</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Xiaoke%22">Li, Xiaoke</searchLink><br /><searchLink fieldCode="AR" term="%22Jiang%2C+Chen%22">Jiang, Chen</searchLink><br /><searchLink fieldCode="AR" term="%22Gan%2C+Xuehui%22">Gan, Xuehui</searchLink><br /><searchLink fieldCode="AR" term="%22Qiu%2C+Haobo%22">Qiu, Haobo</searchLink><br /><searchLink fieldCode="AR" term="%22Gao%2C+Liang%22">Gao, Liang</searchLink>
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  Data: Journal of Mechanical Science & Technology; Sep2023, Vol. 37 Issue 9, p4787-4800, 14p
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  Data: <searchLink fieldCode="DE" term="%22STANDARD+deviations%22">STANDARD deviations</searchLink><br /><searchLink fieldCode="DE" term="%22PROBLEM+solving%22">PROBLEM solving</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: An effective method for reliability-based design optimization (RBDO) problems taking uncertainties into account is the probabilistic feasible region (PFR) approach. The PFR approach is built around the fixed nature of the standard deviation in general RBDO problems. Therefore, the accuracy of the PFR approach will be affected when dealing with RBDO problems with varying standard deviation. To improve the accuracy of PFR method in solving the RBDO problems with varying standard deviation, a novel probabilistic feasible region strategy considering varying standard deviations (PFR-vstd) approach is suggested in this paper. In place of the initial probabilistic feasible region in standard normal space, a new probabilistic feasible region is established in original design space in this novel approach. The results of four applications demonstrate the high accuracy and sufficient efficiency of PFR-vstd method. The findings demonstrate that PFR-vstd method is capable of accurately resolving RBDO problems with varying standard deviation. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Mechanical Science & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1007/s12206-023-0831-9
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 4787
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      – SubjectFull: PROBLEM solving
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            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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