Arash Moaven , Thierry J. Massart , Sergio Zlotnik
{"title":"基于适当广义分解的热-水-力耦合问题实时参数解","authors":"Arash Moaven , Thierry J. Massart , Sergio Zlotnik","doi":"10.1016/j.finel.2025.104352","DOIUrl":null,"url":null,"abstract":"<div><div>Proper Generalized Decomposition (PGD) is a Model Order Reduction (MOR) technique used in this study to solve parametric transient Thermo-Hydro-Mechanical (THM) problems in porous media, with focus on deep geological repositories. PGD enables computing real-time solutions for THM parametric problems, which are critical in applications like enhanced oil recovery, geothermal energy, and nuclear waste disposal. This study offers two key contributions. First, it describes the separated discrete operators required by PGD to account for material and geometrical parameters in transient THM problems. Second, it explores the effectiveness of PGD through three repository model problems: (1) parametrized by rock material properties (elastic modulus, thermal and hydraulic conductivity), (2) geometrically parametrized by canister spacing, and (3) a combined four-parameter model demonstrating PGD’s ability to handle multiparameter problems. The results show that PGD applied for THM processes in porous media provides efficient, real-time solutions for complex problems, significantly enhancing computational performance to allow its incorporation in multiquery and real-time scenarios.</div></div>","PeriodicalId":56133,"journal":{"name":"Finite Elements in Analysis and Design","volume":"247 ","pages":"Article 104352"},"PeriodicalIF":3.5000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parametric solutions of coupled Thermo-Hydro-Mechanical problems in real time with Proper Generalized Decomposition\",\"authors\":\"Arash Moaven , Thierry J. Massart , Sergio Zlotnik\",\"doi\":\"10.1016/j.finel.2025.104352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Proper Generalized Decomposition (PGD) is a Model Order Reduction (MOR) technique used in this study to solve parametric transient Thermo-Hydro-Mechanical (THM) problems in porous media, with focus on deep geological repositories. PGD enables computing real-time solutions for THM parametric problems, which are critical in applications like enhanced oil recovery, geothermal energy, and nuclear waste disposal. This study offers two key contributions. First, it describes the separated discrete operators required by PGD to account for material and geometrical parameters in transient THM problems. Second, it explores the effectiveness of PGD through three repository model problems: (1) parametrized by rock material properties (elastic modulus, thermal and hydraulic conductivity), (2) geometrically parametrized by canister spacing, and (3) a combined four-parameter model demonstrating PGD’s ability to handle multiparameter problems. The results show that PGD applied for THM processes in porous media provides efficient, real-time solutions for complex problems, significantly enhancing computational performance to allow its incorporation in multiquery and real-time scenarios.</div></div>\",\"PeriodicalId\":56133,\"journal\":{\"name\":\"Finite Elements in Analysis and Design\",\"volume\":\"247 \",\"pages\":\"Article 104352\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Finite Elements in Analysis and Design\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168874X25000411\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finite Elements in Analysis and Design","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168874X25000411","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Parametric solutions of coupled Thermo-Hydro-Mechanical problems in real time with Proper Generalized Decomposition
Proper Generalized Decomposition (PGD) is a Model Order Reduction (MOR) technique used in this study to solve parametric transient Thermo-Hydro-Mechanical (THM) problems in porous media, with focus on deep geological repositories. PGD enables computing real-time solutions for THM parametric problems, which are critical in applications like enhanced oil recovery, geothermal energy, and nuclear waste disposal. This study offers two key contributions. First, it describes the separated discrete operators required by PGD to account for material and geometrical parameters in transient THM problems. Second, it explores the effectiveness of PGD through three repository model problems: (1) parametrized by rock material properties (elastic modulus, thermal and hydraulic conductivity), (2) geometrically parametrized by canister spacing, and (3) a combined four-parameter model demonstrating PGD’s ability to handle multiparameter problems. The results show that PGD applied for THM processes in porous media provides efficient, real-time solutions for complex problems, significantly enhancing computational performance to allow its incorporation in multiquery and real-time scenarios.
期刊介绍:
The aim of this journal is to provide ideas and information involving the use of the finite element method and its variants, both in scientific inquiry and in professional practice. The scope is intentionally broad, encompassing use of the finite element method in engineering as well as the pure and applied sciences. The emphasis of the journal will be the development and use of numerical procedures to solve practical problems, although contributions relating to the mathematical and theoretical foundations and computer implementation of numerical methods are likewise welcomed. Review articles presenting unbiased and comprehensive reviews of state-of-the-art topics will also be accommodated.