{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:26:36Z","timestamp":1753885596385,"version":"3.41.2"},"reference-count":19,"publisher":"World Scientific Pub Co Pte Ltd","issue":"02","funder":[{"name":"National Key Research and Development Program of China","award":["2018YFB1701600"],"award-info":[{"award-number":["2018YFB1701600"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61773068"],"award-info":[{"award-number":["61773068"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Model. Simul. Sci. Comput."],"published-print":{"date-parts":[[2022,4]]},"abstract":"<jats:p> Online prediction as well as online simulation of surface temperature will play a significant role in flight safety of future near space hypersonic vehicles (HVs). But it still remains a classical scientific problem both in thermodynamics and aerospace science. In view of the complex HV structure and complex heat conduction procedure, three-dimensional numerical simulation is too inefficient for online prediction, while current rapid computation methods cannot meet the requirement of accuracy. Therefore, a hybrid intelligent dynamic modeling approach is proposed to estimate the surface temperature of HV with the combination of mechanism equations, test data and intelligent modeling technology. A simplified model based on a mechanism equation and experimental formulas is presented for predicting or simulating transient heat conduction procedure efficiently, while a case-based reasoning (CBR) algorithm is developed to estimate two uncertain coefficients in the simplified model. Furthermore, a support vector regression (SVR)-based model is developed to compensate the modeling error. With the data both from high-precision finite element computation and from real-world HV thermal protection experiments, a number of comparative simulations demonstrate the effectiveness of the proposed hybrid intelligent modeling approach. <\/jats:p>","DOI":"10.1142\/s1793962322410070","type":"journal-article","created":{"date-parts":[[2022,3,21]],"date-time":"2022-03-21T04:27:46Z","timestamp":1647836866000},"source":"Crossref","is-referenced-by-count":0,"title":["Hybrid intelligent modeling approach for online predicting and simulating surface temperature of HVs"],"prefix":"10.1142","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4210-0088","authenticated-orcid":false,"given":"Ming","family":"Tie","sequence":"first","affiliation":[{"name":"Science and Technology on Space Physics Laboratory, Beijing, 100076, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Fang","sequence":"additional","affiliation":[{"name":"Science and Technology on Space Physics Laboratory, Beijing, 100076, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianlin","family":"Wang","sequence":"additional","affiliation":[{"name":"Science and Technology on Space Physics Laboratory, Beijing, 100076, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weihua","family":"Chen","sequence":"additional","affiliation":[{"name":"Science and Technology on Space Physics Laboratory, Beijing, 100076, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2022,3,18]]},"reference":[{"key":"S1793962322410070BIB001","first-page":"3458","volume-title":"American Control Conf.","author":"Fiorentini L.","year":"2008"},{"key":"S1793962322410070BIB002","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.ins.2015.08.033","volume":"328","author":"Tao X.","year":"2016","journal-title":"Inf. Sci."},{"doi-asserted-by":"publisher","key":"S1793962322410070BIB003","DOI":"10.1155\/2014\/412718"},{"doi-asserted-by":"publisher","key":"S1793962322410070BIB005","DOI":"10.1002\/nme.2633"},{"key":"S1793962322410070BIB006","first-page":"1","volume":"53","author":"Xie G.","year":"2013","journal-title":"Comput. Mech."},{"doi-asserted-by":"publisher","key":"S1793962322410070BIB007","DOI":"10.1007\/s00466-005-0720-3"},{"doi-asserted-by":"publisher","key":"S1793962322410070BIB008","DOI":"10.1016\/j.ijheatmasstransfer.2012.06.091"},{"doi-asserted-by":"publisher","key":"S1793962322410070BIB009","DOI":"10.4208\/aamm.10-m1170"},{"doi-asserted-by":"publisher","key":"S1793962322410070BIB010","DOI":"10.1016\/S0898-1221(01)00293-0"},{"doi-asserted-by":"publisher","key":"S1793962322410070BIB011","DOI":"10.1016\/j.enganabound.2010.04.009"},{"doi-asserted-by":"publisher","key":"S1793962322410070BIB012","DOI":"10.1016\/j.apm.2011.12.044"},{"key":"S1793962322410070BIB013","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1080\/10407799508928835","volume":"28","author":"Raudensk\u00fd M.","year":"2012","journal-title":"Numer. Heat Transf. Fundam."},{"key":"S1793962322410070BIB014","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.icheatmasstransfer.2007.08.010","volume":"35","author":"Stota D.","year":"2008","journal-title":"Int. Commun. Heat Mass Transf."},{"key":"S1793962322410070BIB015","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1109\/TSMCC.2010.2071862","volume":"41","author":"Begum S.","year":"2011","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"S1793962322410070BIB016","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1016\/j.ymssp.2018.03.022","volume":"110","author":"Su H.","year":"2018","journal-title":"Mech. Syst. Signal Process."},{"doi-asserted-by":"publisher","key":"S1793962322410070BIB017","DOI":"10.1016\/j.gsf.2020.10.009"},{"key":"S1793962322410070BIB018","doi-asserted-by":"crossref","first-page":"1420","DOI":"10.1049\/iet-cta.2015.0842","volume":"10","author":"Tie M.","year":"2016","journal-title":"IET Control Theory Appl."},{"key":"S1793962322410070BIB019","doi-asserted-by":"crossref","first-page":"4356","DOI":"10.1109\/TPWRS.2013.2269803","volume":"28","author":"Ervin C.","year":"2013","journal-title":"IEEE Trans. Power Syst."},{"key":"S1793962322410070BIB020","doi-asserted-by":"crossref","first-page":"1690","DOI":"10.1109\/TNNLS.2012.2212456","volume":"23","author":"Huang G.","year":"2012","journal-title":"IEEE Trans. Neural Netw."}],"container-title":["International Journal of Modeling, Simulation, and Scientific Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1793962322410070","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,18]],"date-time":"2022-05-18T11:39:06Z","timestamp":1652873946000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S1793962322410070"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,18]]},"references-count":19,"journal-issue":{"issue":"02","published-print":{"date-parts":[[2022,4]]}},"alternative-id":["10.1142\/S1793962322410070"],"URL":"https:\/\/doi.org\/10.1142\/s1793962322410070","relation":{},"ISSN":["1793-9623","1793-9615"],"issn-type":[{"type":"print","value":"1793-9623"},{"type":"electronic","value":"1793-9615"}],"subject":[],"published":{"date-parts":[[2022,3,18]]},"article-number":"2241007"}}