Academic Journal
Numerical Simulation of Groundwater Inflow in Deep-Buried Underground Powerhouses Under Complex Geology and Construction Conditions.
| Title: | Numerical Simulation of Groundwater Inflow in Deep-Buried Underground Powerhouses Under Complex Geology and Construction Conditions. |
|---|---|
| Authors: | Shang, Jiaxing, Li, Liang, Zong, Chenyu, Chen, Zihao, Chen, Zhou |
| Source: | Water (20734441); May2026, Vol. 18 Issue 9, p1000, 19p |
| Subject Terms: | Groundwater flow, Computer simulation, Hydroelectric power plants, Geological formations, Excavation (Civil engineering), Power plants, Rainfall |
| Abstract: | During the excavation of tunnels in deeply buried underground hydropower stations, complex geological and construction conditions significantly increase the risk of sudden groundwater inflow, and the accuracy of groundwater inflow calculations remains low. This study takes the deeply buried underground powerhouse of a hydropower station as the engineering background and meticulously characterizes the underground powerhouse chamber group and its associated drainage facilities. On this basis, the study couples the geological model with the water flow model to systematically simulate the seepage field characteristics under complex conditions, including the pre-excavation, excavation, and operational phases. The water inflow at different parts of the powerhouse during the excavation phase is predicted. The results show that different rainfall conditions significantly affect the water inflow, with the inflow increasing as rainfall intensity rises. The maximum water inflow occurs in the storage reservoir area under heavy rainfall conditions, reaching 13,043.7 m3/d. During the operation phase, the external water pressure is greatly influenced by rainfall conditions, with the maximum pressure head of the water delivery pipeline from the underground powerhouse area to the reservoir section reaching 882.78 m under heavy rainfall. These findings provide a reference for future engineering construction. The results of this study offer theoretical and engineering references for groundwater inflow prediction and comprehensive control in deeply buried underground powerhouses under complex conditions. [ABSTRACT FROM AUTHOR] |
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| Database: | Biomedical Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edm&genre=article&issn=20734441&ISBN=&volume=18&issue=9&date=20260501&spage=1000&pages=1000-1018&title=Water (20734441)&atitle=Numerical%20Simulation%20of%20Groundwater%20Inflow%20in%20Deep-Buried%20Underground%20Powerhouses%20Under%20Complex%20Geology%20and%20Construction%20Conditions.&aulast=Shang%2C%20Jiaxing&id=DOI:10.3390/w18091000 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Header | DbId: edm DbLabel: Biomedical Index An: 193716291 RelevancyScore: 1061 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1060.76245117188 |
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| Items | – Name: Title Label: Title Group: Ti Data: Numerical Simulation of Groundwater Inflow in Deep-Buried Underground Powerhouses Under Complex Geology and Construction Conditions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shang%2C+Jiaxing%22">Shang, Jiaxing</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Liang%22">Li, Liang</searchLink><br /><searchLink fieldCode="AR" term="%22Zong%2C+Chenyu%22">Zong, Chenyu</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Zihao%22">Chen, Zihao</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Zhou%22">Chen, Zhou</searchLink> – Name: TitleSource Label: Source Group: Src Data: Water (20734441); May2026, Vol. 18 Issue 9, p1000, 19p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Groundwater+flow%22">Groundwater flow</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Hydroelectric+power+plants%22">Hydroelectric power plants</searchLink><br /><searchLink fieldCode="DE" term="%22Geological+formations%22">Geological formations</searchLink><br /><searchLink fieldCode="DE" term="%22Excavation+%28Civil+engineering%29%22">Excavation (Civil engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Power+plants%22">Power plants</searchLink><br /><searchLink fieldCode="DE" term="%22Rainfall%22">Rainfall</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: During the excavation of tunnels in deeply buried underground hydropower stations, complex geological and construction conditions significantly increase the risk of sudden groundwater inflow, and the accuracy of groundwater inflow calculations remains low. This study takes the deeply buried underground powerhouse of a hydropower station as the engineering background and meticulously characterizes the underground powerhouse chamber group and its associated drainage facilities. On this basis, the study couples the geological model with the water flow model to systematically simulate the seepage field characteristics under complex conditions, including the pre-excavation, excavation, and operational phases. The water inflow at different parts of the powerhouse during the excavation phase is predicted. The results show that different rainfall conditions significantly affect the water inflow, with the inflow increasing as rainfall intensity rises. The maximum water inflow occurs in the storage reservoir area under heavy rainfall conditions, reaching 13,043.7 m<superscript>3</superscript>/d. During the operation phase, the external water pressure is greatly influenced by rainfall conditions, with the maximum pressure head of the water delivery pipeline from the underground powerhouse area to the reservoir section reaching 882.78 m under heavy rainfall. These findings provide a reference for future engineering construction. The results of this study offer theoretical and engineering references for groundwater inflow prediction and comprehensive control in deeply buried underground powerhouses under complex conditions. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Water (20734441) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/w18091000 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 1000 Subjects: – SubjectFull: Groundwater flow Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Hydroelectric power plants Type: general – SubjectFull: Geological formations Type: general – SubjectFull: Excavation (Civil engineering) Type: general – SubjectFull: Power plants Type: general – SubjectFull: Rainfall Type: general Titles: – TitleFull: Numerical Simulation of Groundwater Inflow in Deep-Buried Underground Powerhouses Under Complex Geology and Construction Conditions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shang, Jiaxing – PersonEntity: Name: NameFull: Li, Liang – PersonEntity: Name: NameFull: Zong, Chenyu – PersonEntity: Name: NameFull: Chen, Zihao – PersonEntity: Name: NameFull: Chen, Zhou IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20734441 Numbering: – Type: volume Value: 18 – Type: issue Value: 9 Titles: – TitleFull: Water (20734441) Type: main |
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