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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 土木工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86670
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dc.contributor.advisor卿建業(Jian-Ye Ching)
dc.contributor.authorPin-Chun Huangen
dc.contributor.author黃品淳zh_TW
dc.date.accessioned2023-03-20T00:10:12Z-
dc.date.copyright2022-08-10
dc.date.issued2022
dc.date.submitted2022-08-02
dc.identifier.citation1. 劉覲嘉 (2018),「探討具空間變異性土體的有效楊氏模數—以大地結構物為例」,國立臺灣大學碩士論文。 2. 林佳霈 (2020),「具空間變異性土體的楊氏模數的均質化」,國立臺灣大學碩士論文。 3. 陳致宇 (2021),「均質化具空間變異性土體之有效滲透係數」,國立臺灣大學碩士論文。 4. Abaqus, V. (2014). “6.14-1. Abaqus/standard user’s manual and Abaqus CAE manual.” Providence, RI, USA: Dassault Systemes Simulia Corp. 5. Atkinson, J. H., and Bransby, P. L. (1977). “The mechanics of soils, an introduction to critical state soil mechanics.” (No. Monograph). 6. Ching, J., and Hu, Y. G. (2016). “Effect of element size in random finite element analysis for effective Young’s modulus.” Mathematical Problems in Engineering, 1-10. 7. Ching, J., Tong, X. W. and Hu, Y. G. (2016). “Effective Young's modulus for a spatially variable soil mass subjected to a simple stress state.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 10(1), 11-26. 8. Ching, J., Phoon, K. K., and Pan, Y. K. (2017). “On characterizing spatially variable soil Young’s modulus using spatial average.” Structural Safety, 66, 106¬-117. 9. Ching, J., Hu, Y. G., and Phoon, K. K. (2018). “Effective Young’s modulus of a spatially variable soil mass under a footing.” Structural Safety, 73, 99-113. 10. Ching, J., Phoon, K. K., & Wu, C. T. (2022). “Data-centric quasi-site-specific prediction for compressibility of clays.” Canadian Geotechnical Journal, (ja). 11. Fenton, G. A., and Griffiths, D. V. (2002). “Probabilistic Foundation Settlement on Spatially Random Soil.” Journal of Geotechnical and Geoenvironmental Engineering, 128(5), 381-390. 12. Fenton, G. A., and Griffiths, D. V. (2005). “Three-dimensional probabilistic foundation settlement.” Journal of Geotechnical and Geoenvironmental Engineering, 131(2), 232-239. 13. Golub, G. H., Heath, M., and Wahba, G. (1979). “Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter.” Technometrics, 21(2), 215-223. 14. Jha, S. K., and Ching, J. (2013). “Simulating Spatial Averages of Stationary Random Field Using the Fourier Series Method.” Journal of Engineering Mechanics, 139(5), 594-605. 15. Kootahi, K., and Mayne, P. W. (2016). “Index Test Method for Estimating the Effective Preconsolidation Stress in Clay Deposits.” Journal of Geotechnical and Geoenvironmental Engineering, 142(10), 04016049. 16. Phoon, K. K., and Kulhawy, F. H. (1999). “Characterization of geotechnical variability.” Canadian Geotechnical Journal, 36(4), 612-624. 17. Roscoe, K. H., Schofield, A., and Wroth, A. P. (1958). “On The Yielding of Soils.” Geotechnique, 8(1), 22-53. 18. Schofield, A. N., & Wroth, P. (1968). “Critical state soil mechanics (Vol. 310).” London: McGraw-hill. 19. Tabarroki, M., Ching, J., Lin, C. P., Liou, J. J., & Phoon, K. K. (2022). “Homogenizing spatially variable Young modulus using pseudo incremental energy method.” Structural Safety, 97, 102226. 20. Vanmarcke, E. H. (1977). “Probabilistic modeling of soil profiles.” Journal of the geotechnical engineering division, 103 (11), 1227-1246.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86670-
dc.description.abstract在現實生活中,土壤因環境影響使其呈現非均質的狀態,土壤性質也有著空間變異性,然而為了方便大地工程的設計及分析,工程師常將土壤視為均質。因此如何選擇具有代表性的材料性質以代表整體土壤便為本研究之課題,本研究將針對土壤之壓縮指數,提出一簡易的均質化模型,透過此模型可以有效地代表土壤受壓後之壓密行為。 本研究將透過穩態隨機場模擬具空間變異性之壓縮指數,並運用MATLAB以及有限元素軟體ABAQUS進行隨機有限元素分析,將分析後之壓密沉陷量與均質模型擬合獲得有效壓縮指數 ,同時利用空間平均模型計算此壓縮指數隨機場下之均質化壓縮指數,並比較有效壓縮指數與均質化壓縮指數之結果。在初步的結果中發現,土壤元素受到壓密行為後各處之權重皆不同,這種非均勻驅動之現象也影響空間平均模型之結果。因此本研究便找出與壓密行為有關之影響因子,提出符合壓密行為之新pseudo incremental energy (PIE) 模型,並配合權重幾何平均計算出均質化壓縮指數。 針對大地工程中常見之壓密案例,以ABAQUS進行不同關聯性長度之分析,並藉由新PIE模型進行後續分析,研究結果表明,在大多數案例中新PIE模型所獲得之均質化壓縮指數與隨機有限元素分析獲得之有效壓縮指數皆具有相當高的關聯性。zh_TW
dc.description.abstractSoil is non-homogeneous due to environmental influence, and the soil properties also have spatial variability. However, in order to make geotechnical engineering design and analysis easy, engineers often regard soil as homogeneous. Therefore, how to choose representative soil properties to represent the in-situ soil is the subject of this research. This research focuses on soil compression index and proposes a homogeneous model which can represent the soil consolidation behavior. In this study, we simulate the compression index with spatial variability through the stationary random field and conduct random finite element analysis (RFEA) by ABAQUS software, then fitting the consolidation settlement to obtain the effective compression index . Meanwhile, we compute spatial averages of compression index random field to obtain homogenized compression index and compare to . In the preliminary results, we found that the soil elements are different everywhere after soil consolidation, and non-uniform mobilization of soil also affects the results of spatial average model. Therefore, we figure out the influence factors related to consolidation behavior, and propose a new pseudo incremental energy (PIE) model, and adopt weighting geometric average model to obtain the homogenized compression index. We use ABAQUS to analyze different scale of fluctuations for different cases, and use the new PIE model for subsequent analysis. The research results shows that the homogenized compression index and have a high correlation in most geotechnical cases.en
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Previous issue date: 2022
en
dc.description.tableofcontents目錄 iv 圖目錄 vii 表目錄 xiii 第一章 緒論 1 1.1 研究背景 1 1.2 研究目的及方法 1 1.3 本文內容 2 第二章 文獻回顧 4 2.1 空間變異性 4 2.2 關聯性長度 5 2.3 自相關函數 6 2.4 隨機場 7 2.5 穩態隨機場 7 2.5.1 穩態隨機場之空間平均過程 8 2.6 穩態高斯隨機場 10 2.6.1 傅立葉級數穩態高斯隨機場點過程 10 2.6.2 傅立葉級數穩態高斯隨機場空間平均過程 13 2.7 傳統空間平均模型 14 2.8 權重幾何平均模型 15 2.9 Pseudo incremental energy model (PIE模型) 16 第三章 研究方法 18 3.1 研究方法 18 3.1.1 研究流程 19 3.2 穩態對數隨機場 19 3.3 壓縮指數之均質化 20 3.4 正規化最小平方法 21 3.5 分析方法 22 3.5.1 土壤材料參數設置 23 3.5.2 穩態土壤特性模擬 26 3.5.3 土壤壓密沉陷分析 27 3.5.3.1 二維單向度壓密 28 3.5.3.2 淺基礎案例 29 3.5.3.3 二維堤防 30 3.5.3.4 二維地下水位下降 30 3.5.3.5 樁基礎案例 31 3.6 壓密沉陷案例模型設置與介紹 32 3.6.1 二維單向度壓密 32 3.6.2 二維淺基礎 33 3.6.3 三維淺基礎 35 3.6.4 二維堤防 37 3.6.5 二維地下水位下降 38 3.6.6 二維承載樁 40 3.6.7 二維側推樁 42 第四章 結果分析與比較 45 4.1 分析結果 45 4.1.1 初步分析結果 (二維單向度壓密與淺基礎案例) 45 4.1.2 符合壓密行為之新PIE模型 49 4.1.3 壓密案例之分析結果 51 4.1.3.1 二維單向度壓密 52 4.1.3.2 二維淺基礎 55 4.1.3.3 三維淺基礎 61 4.1.3.4 二維堤防 66 4.1.3.5 二維地下水位下降 72 4.1.3.6 二維承載樁 80 4.1.3.7 二維側推樁 90 4.1.4 不同參數之分析結果 101 4.1.4.1 改變壓縮指數之期望值 101 4.1.4.2 改變壓縮指數之變異係數 101 4.1.4.3 改變土壤滲透係數 102 4.1.4.4 結論 102 4.1.5 各案例彈性應變之比例 103 第五章 結論與未來建議 110 5.1 結論 110 5.2 未來建議 111 第六章 參考資料 112 附錄I 口試問答紀錄 114
dc.language.isozh-TW
dc.subject隨機場zh_TW
dc.subject有限元素分析zh_TW
dc.subjectnew pseudo incremental energy modelzh_TW
dc.subject均質化模型zh_TW
dc.subject隨機場zh_TW
dc.subject有效壓縮指數zh_TW
dc.subject空間變異性zh_TW
dc.subjectnew pseudo incremental energy modelzh_TW
dc.subject有限元素分析zh_TW
dc.subject均質化模型zh_TW
dc.subject有效壓縮指數zh_TW
dc.subject空間變異性zh_TW
dc.subjectspatial average modelen
dc.subjectspatial average modelen
dc.subjecteffective compression indexen
dc.subjectnew pseudo incremental energy modelen
dc.subjectfinite element analysisen
dc.subjectrandom fielden
dc.subjectSpatial variabilityen
dc.subjectnew pseudo incremental energy modelen
dc.subjecteffective compression indexen
dc.subjectSpatial variabilityen
dc.subjectrandom fielden
dc.subjectfinite element analysisen
dc.title具空間變異性土體壓縮指數之均質化zh_TW
dc.titleHomogenization of Soil Compression Index with Spatial Variabilityen
dc.typeThesis
dc.date.schoolyear110-2
dc.description.degree碩士
dc.contributor.oralexamcommittee劉家男(Chia-Nan Liu),王瑞斌(Jui-Pin Wang)
dc.subject.keyword空間變異性,隨機場,有限元素分析,有效壓縮指數,均質化模型,new pseudo incremental energy model,zh_TW
dc.subject.keywordSpatial variability,random field,finite element analysis,new pseudo incremental energy model,effective compression index,spatial average model,en
dc.relation.page116
dc.identifier.doi10.6342/NTU202201986
dc.rights.note同意授權(全球公開)
dc.date.accepted2022-08-03
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept土木工程學研究所zh_TW
dc.date.embargo-lift2022-08-10-
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