DCRSM-based aeroengine cycle selection approach for multi-operating conditions performance reliability

Dalu Cao; Chao Zhao; Guangchen Bai

doi:10.1016/j.egypro.2019.01.363

DCRSM-based aeroengine cycle selection approach for multi-operating conditions performance reliability

Dalu Cao
, Chao Zhao
, Guangchen Bai^*

^*此作品的通讯作者

能源与动力工程学院

Beihang University

科研成果: 期刊稿件 › 会议文章 › 同行评审

3 引用（Scopus）

摘要

The aim of the present research is to purpose a new aeroengine cycle design approach for multiple operating conditions performance reliability based on Distributed Cooperative Response Surface Method (DCRSM). A steady-state component level engine model is developed to simulate the overall performance with impact of uncertainty. After solving the distributed response surface model, The cooperative performance reliability response surface model is established for cycle optimization design. The effectiveness of this approach is validated by the randomized trial, which show that cycle parameters from the Pareto-optimal set generated by NSGA II can make the engine performance meet high reliability simultaneously under all expected conditions.

源语言	英语
页（从-至）	1537-1546
页数	10
期刊	Energy Procedia
卷	158
DOI	https://doi.org/10.1016/j.egypro.2019.01.363
出版状态	已出版 - 2019
活动	10th International Conference on Applied Energy, ICAE 2018 - Hong Kong, 中国期限: 22 8月 2018 → 25 8月 2018

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10.1016/j.egypro.2019.01.363

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引用此

@article{23a72494af654706bdc68b495df8a5d4,

title = "DCRSM-based aeroengine cycle selection approach for multi-operating conditions performance reliability",

abstract = "The aim of the present research is to purpose a new aeroengine cycle design approach for multiple operating conditions performance reliability based on Distributed Cooperative Response Surface Method (DCRSM). A steady-state component level engine model is developed to simulate the overall performance with impact of uncertainty. After solving the distributed response surface model, The cooperative performance reliability response surface model is established for cycle optimization design. The effectiveness of this approach is validated by the randomized trial, which show that cycle parameters from the Pareto-optimal set generated by NSGA II can make the engine performance meet high reliability simultaneously under all expected conditions.",

keywords = "Aeroengine, Cycle selection, Distributed cooperative response surface method, Performance reliability, Uncertainty",

author = "Dalu Cao and Chao Zhao and Guangchen Bai",

note = "Publisher Copyright: {\textcopyright} 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of ICAE2018 - The 10th International Conference on Applied Energy.; 10th International Conference on Applied Energy, ICAE 2018 ; Conference date: 22-08-2018 Through 25-08-2018",

year = "2019",

doi = "10.1016/j.egypro.2019.01.363",

language = "英语",

volume = "158",

pages = "1537--1546",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - DCRSM-based aeroengine cycle selection approach for multi-operating conditions performance reliability

AU - Cao, Dalu

AU - Zhao, Chao

AU - Bai, Guangchen

N1 - Publisher Copyright: © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of ICAE2018 - The 10th International Conference on Applied Energy.

PY - 2019

Y1 - 2019

N2 - The aim of the present research is to purpose a new aeroengine cycle design approach for multiple operating conditions performance reliability based on Distributed Cooperative Response Surface Method (DCRSM). A steady-state component level engine model is developed to simulate the overall performance with impact of uncertainty. After solving the distributed response surface model, The cooperative performance reliability response surface model is established for cycle optimization design. The effectiveness of this approach is validated by the randomized trial, which show that cycle parameters from the Pareto-optimal set generated by NSGA II can make the engine performance meet high reliability simultaneously under all expected conditions.

AB - The aim of the present research is to purpose a new aeroengine cycle design approach for multiple operating conditions performance reliability based on Distributed Cooperative Response Surface Method (DCRSM). A steady-state component level engine model is developed to simulate the overall performance with impact of uncertainty. After solving the distributed response surface model, The cooperative performance reliability response surface model is established for cycle optimization design. The effectiveness of this approach is validated by the randomized trial, which show that cycle parameters from the Pareto-optimal set generated by NSGA II can make the engine performance meet high reliability simultaneously under all expected conditions.

KW - Aeroengine

KW - Cycle selection

KW - Distributed cooperative response surface method

KW - Performance reliability

KW - Uncertainty

UR - https://www.scopus.com/pages/publications/85063906059

U2 - 10.1016/j.egypro.2019.01.363

DO - 10.1016/j.egypro.2019.01.363

M3 - 会议文章

AN - SCOPUS:85063906059

SN - 1876-6102

VL - 158

SP - 1537

EP - 1546

JO - Energy Procedia

JF - Energy Procedia

T2 - 10th International Conference on Applied Energy, ICAE 2018

Y2 - 22 August 2018 through 25 August 2018

ER -

DCRSM-based aeroengine cycle selection approach for multi-operating conditions performance reliability

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