Uncertainty-based improved multidisciplinary design optimization methods

Yanru He; Baowei Song; Daiyu Zhang

doi:10.1109/IAEAC.2017.8054186

Uncertainty-based improved multidisciplinary design optimization methods

Yanru He, Baowei Song, Daiyu Zhang

School of Marine Science and Technology

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Uncertainty factors are extremely important in the design of complex systems optimization. Firstly, the optimum design model based on the robustness and reliability is built and uncertainty analysis methods are introduced. Then BLISS/RSI and BLISS/RS2, which are the widely-used multidisciplinary design optimization method, are improved, and a new uncertainty-based multidisciplinary optimization method - UBLISS/RSS, are proposed by embedding the process of uncertainty design optimization into the improved BLISS/RSI and BLISS/RS2. Finally, the example of speed reducer considering manufacturing processing errors are given to test UBLISS/RSS method and it is proved to be a feasible and effective method of uncertainty-based multidisciplinary design optimization.

Original language	English
Title of host publication	Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017
Editors	Bing Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1113-1117
Number of pages	5
ISBN (Electronic)	9781467389778
DOIs	https://doi.org/10.1109/IAEAC.2017.8054186
State	Published - 29 Sep 2017
Event	2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 - Chongqing, China Duration: 25 Mar 2017 → 26 Mar 2017

Publication series

Name	Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017

Conference

Conference	2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017
Country/Territory	China
City	Chongqing
Period	25/03/17 → 26/03/17

Keywords

Multidisciplinary design optimization
Response surface
Uncertainty analysis
Uncertainty modeling

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10.1109/IAEAC.2017.8054186

Cite this

He, Y., Song, B., & Zhang, D. (2017). Uncertainty-based improved multidisciplinary design optimization methods. In B. Xu (Ed.), Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 (pp. 1113-1117). Article 8054186 (Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAEAC.2017.8054186

He, Yanru ; Song, Baowei ; Zhang, Daiyu. / Uncertainty-based improved multidisciplinary design optimization methods. Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017. editor / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1113-1117 (Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017).

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title = "Uncertainty-based improved multidisciplinary design optimization methods",

abstract = "Uncertainty factors are extremely important in the design of complex systems optimization. Firstly, the optimum design model based on the robustness and reliability is built and uncertainty analysis methods are introduced. Then BLISS/RSI and BLISS/RS2, which are the widely-used multidisciplinary design optimization method, are improved, and a new uncertainty-based multidisciplinary optimization method - UBLISS/RSS, are proposed by embedding the process of uncertainty design optimization into the improved BLISS/RSI and BLISS/RS2. Finally, the example of speed reducer considering manufacturing processing errors are given to test UBLISS/RSS method and it is proved to be a feasible and effective method of uncertainty-based multidisciplinary design optimization.",

keywords = "Multidisciplinary design optimization, Response surface, Uncertainty analysis, Uncertainty modeling",

author = "Yanru He and Baowei Song and Daiyu Zhang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 ; Conference date: 25-03-2017 Through 26-03-2017",

year = "2017",

month = sep,

day = "29",

doi = "10.1109/IAEAC.2017.8054186",

language = "英语",

series = "Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1113--1117",

editor = "Bing Xu",

booktitle = "Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017",

}

He, Y, Song, B & Zhang, D 2017, Uncertainty-based improved multidisciplinary design optimization methods. in B Xu (ed.), Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017., 8054186, Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017, Institute of Electrical and Electronics Engineers Inc., pp. 1113-1117, 2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017, Chongqing, China, 25/03/17. https://doi.org/10.1109/IAEAC.2017.8054186

Uncertainty-based improved multidisciplinary design optimization methods. / He, Yanru; Song, Baowei; Zhang, Daiyu.
Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017. ed. / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1113-1117 8054186 (Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Uncertainty-based improved multidisciplinary design optimization methods

AU - He, Yanru

AU - Song, Baowei

AU - Zhang, Daiyu

PY - 2017/9/29

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N2 - Uncertainty factors are extremely important in the design of complex systems optimization. Firstly, the optimum design model based on the robustness and reliability is built and uncertainty analysis methods are introduced. Then BLISS/RSI and BLISS/RS2, which are the widely-used multidisciplinary design optimization method, are improved, and a new uncertainty-based multidisciplinary optimization method - UBLISS/RSS, are proposed by embedding the process of uncertainty design optimization into the improved BLISS/RSI and BLISS/RS2. Finally, the example of speed reducer considering manufacturing processing errors are given to test UBLISS/RSS method and it is proved to be a feasible and effective method of uncertainty-based multidisciplinary design optimization.

AB - Uncertainty factors are extremely important in the design of complex systems optimization. Firstly, the optimum design model based on the robustness and reliability is built and uncertainty analysis methods are introduced. Then BLISS/RSI and BLISS/RS2, which are the widely-used multidisciplinary design optimization method, are improved, and a new uncertainty-based multidisciplinary optimization method - UBLISS/RSS, are proposed by embedding the process of uncertainty design optimization into the improved BLISS/RSI and BLISS/RS2. Finally, the example of speed reducer considering manufacturing processing errors are given to test UBLISS/RSS method and it is proved to be a feasible and effective method of uncertainty-based multidisciplinary design optimization.

KW - Multidisciplinary design optimization

KW - Response surface

KW - Uncertainty analysis

KW - Uncertainty modeling

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 25 March 2017 through 26 March 2017

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He Y, Song B, Zhang D. Uncertainty-based improved multidisciplinary design optimization methods. In Xu B, editor, Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1113-1117. 8054186. (Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017). doi: 10.1109/IAEAC.2017.8054186

Uncertainty-based improved multidisciplinary design optimization methods

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