Nonprobabilistic uncertain model updating and optimization design of thermal protection system | |
Jiang WT1; Wang XJ2; Wang RX(王睿星)3,4; Shi QH5; Zhu JJ2 | |
Corresponding Author | Wang, Xiaojun([email protected]) ; Wang, Ruixing([email protected]) |
Source Publication | APPLIED THERMAL ENGINEERING
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2020-11-05 | |
Volume | 180Pages:14 |
ISSN | 1359-4311 |
Abstract | Reusable launch vehicles are subjected to intense aerodynamic heating during the hypersonic re-entry stage. Thus, thermal protection system (TPS) design methods that consider uncertainty have become increasingly important in recent years. In this study, a nonprobabilistic TPS optimization design that takes into account deviations in temperature-dependent thermophysical property parameters is carried out with corresponding experimental verification. An improved Latin hypercube design (ILHD) is first proposed to solve the sampling problem in the case where the distribution domains of correlated uncertainty parameters interfere with each other. Based on the ILHD, uncertainty and sensitivity analyses of the TPS heat transfer are performed, in which the importance and effect trends of uncertainty parameters to responses are clearly identified. In terms of both computational costs and accuracy, the ILHD method has a significant advantage because of the excellent abilities of random sampling to satisfy certain constraints, space-filling, and nonlinear response-fitting. The ILHD's superiority in uncertainty and sensitivity analyses is also proved compared with response bounds by sampling. During experimental verification, an uncertainty-based model updating method is proposed to modify the heat transfer numerical model of test pieces. Finally, a lighter design is obtained and the correctness and validity of applied methods are verified. |
Keyword | Thermal protection system Nonprobabilistic optimization Sensitivity analysis Uncertainty analysis Model updating |
DOI | 10.1016/j.applthermaleng.2020.115822 |
Indexed By | SCI ; EI |
Language | 英语 |
WOS ID | WOS:000569818200063 |
WOS Keyword | PERFORMANCE |
WOS Research Area | Thermodynamics ; Energy & Fuels ; Engineering ; Mechanics |
WOS Subject | Thermodynamics ; Energy & Fuels ; Engineering, Mechanical ; Mechanics |
Funding Project | National Nature Science Foundation of China[11872089] ; National Nature Science Foundation of China[11902322] ; Defense Industrial Technology Development Program[JCKY2017601B001] ; Defense Industrial Technology Development Program[JCKY2017208B001] ; Defense Industrial Technology Development Program[JCKY2019203A003] ; National Science and Technology Major Project[2017-IV-0010-0047] |
Funding Organization | National Nature Science Foundation of China ; Defense Industrial Technology Development Program ; National Science and Technology Major Project |
Classification | 一类 |
Ranking | 1 |
Contributor | Wang, Xiaojun ; Wang, Ruixing |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://dspace.imech.ac.cn/handle/311007/85244 |
Collection | 流固耦合系统力学重点实验室 |
Affiliation | 1.Chinese Acad Sci, Inst Engn Thermophys, Key Lab Light Duty Gas Turbine, Beijing 100190, Peoples R China; 2.Beihang Univ, Inst Solid Mech, Beijing 100191, Peoples R China; 3.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, 15 Beisihuanxi Rd, Beijing 100190, Peoples R China; 4.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China; 5.Jiangsu Univ Technol, Sch Mat & Engn, Changzhou 213001, Jiangsu, Peoples R China |
Recommended Citation GB/T 7714 | Jiang WT,Wang XJ,Wang RX,et al. Nonprobabilistic uncertain model updating and optimization design of thermal protection system[J]. APPLIED THERMAL ENGINEERING,2020,180:14.Rp_Au:Wang, Xiaojun, Wang, Ruixing |
APA | Jiang WT,Wang XJ,王睿星,Shi QH,&Zhu JJ.(2020).Nonprobabilistic uncertain model updating and optimization design of thermal protection system.APPLIED THERMAL ENGINEERING,180,14. |
MLA | Jiang WT,et al."Nonprobabilistic uncertain model updating and optimization design of thermal protection system".APPLIED THERMAL ENGINEERING 180(2020):14. |
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