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^*

^*Corresponding author for this work

School of Energy and Power Engineering

Beihang University

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

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.

Original language	English
Pages (from-to)	1537-1546
Number of pages	10
Journal	Energy Procedia
Volume	158
DOIs	https://doi.org/10.1016/j.egypro.2019.01.363
State	Published - 2019
Event	10th International Conference on Applied Energy, ICAE 2018 - Hong Kong, China Duration: 22 Aug 2018 → 25 Aug 2018

Keywords

Aeroengine
Cycle selection
Distributed cooperative response surface method
Performance reliability
Uncertainty

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10.1016/j.egypro.2019.01.363

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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

Abstract

Keywords

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