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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 卿建業(Jianye Ching) | |
| dc.contributor.author | Zhi-Yu Chen | en |
| dc.contributor.author | 陳致宇 | zh_TW |
| dc.date.accessioned | 2022-11-23T09:19:50Z | - |
| dc.date.available | 2021-08-06 | |
| dc.date.available | 2022-11-23T09:19:50Z | - |
| dc.date.copyright | 2021-08-06 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-07-21 | |
| dc.identifier.citation | Bevan, M. J., Endres, A. L., Rudolph, D. L., Parkin, G. (2003). The non-invasive characterization of pumping-induced dewatering using ground penetrating radar. Journal of Hydrology, 281(1-2), 55-69. Bevan, M. J., Endres, A. L., Rudolph, D. L., Parkin, G. (2005). A field scale study of pumping-induced drainage and recovery in an unconfined aquifer. Journal of Hydrology, 315(1-4), 52-70. Cami, B., Javankhoshdel, S., Phoon, K.-K., Ching, J. (2020). Scale of fluctuation for spatially varying soils: Estimation methods and values. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6(4), 03120002. Ching, J., Chen, Y.-C. (2007). Transitional Markov chain Monte Carlo method for Bayesian model updating, model class selection, and model averaging. Journal of Engineering Mechanics, 133(7), 816-832. Ching, J., Hu, Y.-G. (2016). Effect of element size in random finite element analysis for effective Young’s modulus. Mathematical Problems in Engineering, 2016. Ching, J., Hu, Y.-G., Phoon, K.-K. (2018). Effective Young’s modulus of a spatially variable soil mass under a footing. Structural Safety, 73, 99-113. Ching, J., Huang, W.-H., Phoon, K.-K. (2020). 3D Probabilistic Site Characterization by Sparse Bayesian Learning. Journal of Engineering Mechanics, 146(12), 04020134. Ching, J., Phoon, K.-K. (2019). Impact of autocorrelation function model on the probability of failure. Journal of Engineering Mechanics, 145(1), 04018123. Ching, J., Phoon, K.-K., Pan, Y.-K. (2017). On characterizing spatially variable soil Young’s modulus using spatial average. Structural Safety, 66, 106-117. Fenton, G. A., Griffiths, D. (2002). Probabilistic foundation settlement on spatially random soil. Journal of Geotechnical and Geoenvironmental Engineering, 128(5), 381-390. Fenton, G. A., Griffiths, D. (2005). Three-dimensional probabilistic foundation settlement. Journal of Geotechnical and Geoenvironmental Engineering, 131(2), 232-239. Golub, G. H., Heath, M., Wahba, G. (1979). Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics, 21(2), 215-223. Jha, S. K., Ching, J. (2013). Simulating spatial averages of stationary random field using the fourier series method. Journal of Engineering Mechanics, 139(5), 594-605. Kootahi, K., 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. MacFarlane, D., Cherry, J., Gillham, R., Sudicky, E. (1983). Migration of contaminants in groundwater at a landfill: A case study: 1. Groundwater flow and plume delineation. Journal of Hydrology, 63(1-2), 1-29. Mackay, D., Freyberg, D., Roberts, P., Cherry, J. (1986). A natural gradient experiment on solute transport in a sand aquifer: 1. Approach and overview of plume movement. Water Resources Research, 22(13), 2017-2029. Moench, A. F. (2008). Analytical and numerical analyses of an unconfined aquifer test considering unsaturated zone characteristics. Water Resources Research, 44(6). Nwankwor, G., Cherry, J., Gillham, R. (1984). A comparative study of specific yield determinations for a shallow sand aquifer. Groundwater, 22(6), 764-772. Phoon, K.-K., Kulhawy, F. H. (1999). Characterization of geotechnical variability. Canadian geotechnical journal, 36(4), 612-624. Sudicky, E. A. (1986). A natural gradient experiment on solute transport in a sand aquifer: Spatial variability of hydraulic conductivity and its role in the dispersion process. Water Resources Research, 22(13), 2069-2082. Turcke, M., Kueper, B. (1996). Geostatistical analysis of the Borden aquifer hydraulic conductivity field. Journal of Hydrology, 178(1-4), 223-240. Vanmarcke, E. H. (1977). Probabilistic modeling of soil profiles. Journal of the geotechnical engineering division, 103(11), 1227-1246. Woodbury, A. D., Sudicky, E. A. (1991). The geostatistical characteristics of the Borden aquifer. Water Resources Research, 27(4), 533-546. 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]. 台北市. https://hdl.handle.net/11296/67vmy8 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]. 台北市. https://hdl.handle.net/11296/g2m7m4 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79987 | - |
| dc.description.abstract | 土壤的空間變異性為常見造成大地工程設計時產生不確定性的因素之一,然而工程師往往因為某些實際考量將土壤視為均質以便分析。為了選擇較具代表性的土壤材料性質作為設計參數,本研究針對土壤的滲透係數參數,提出一均質化模型,有效地代表具空間變異性土體之滲流行為。 本研究透過模擬穩態隨機場,並藉由有限元素軟體Abaqus 進行隨機有限元素分析獲得等值滲流行為的有效滲透係數。同時,以空間平均模型計算滲透係數隨機場的均質化滲透係數進行比較。初步結果顯示,土壤受到非均勻驅動情形會影響空間平均的權重分布。本研究藉由適當的方法獲得權重分布後,發現與均質有限元素模型輸出的水力坡降增量與滲流量增量有關,進而提出了適用於計算土壤元素權重的新pseudo incremental energy (PIE) 模型,搭配權重幾何平均模型便能獲得均質化滲透係數。 透過新PIE模型針對常見滲流案例,進行單層土及多層土在不同空間變異程度下進行分析。研究結果顯示,大部分案例採用新PIE模型的均質化模型所獲得之均質化滲透係數皆與隨機有限元素分析獲得之有效滲透係數呈現高度的相關性。值得注意的是,此方法僅需進行一次的均質有限元素分析即可得到合適、具代表性且同時考慮土壤空間變異性的均質化滲透係數。此外,本研究也透過現地抽水井案例驗證該方法的可行性與正確性。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-23T09:19:50Z (GMT). No. of bitstreams: 1 U0001-2107202114263400.pdf: 21880000 bytes, checksum: 0b16f8ed6ff976d6f8115bc84f6b1752 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 目錄 iv 圖目錄 vii 表目錄 xii 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 土壤空間變異性 4 2.2 隨機場 5 2.3 穩態隨機場 5 2.3.1 自相關函數與關聯性長度 6 2.3.2 空間平均過程與變異數折減因子 7 2.4 穩態高斯隨機場 8 2.4.1 傅立葉級數法模擬穩態高斯隨機場點過程 8 2.4.2 傅立葉級數法模擬穩態高斯隨機場空間平均過程 10 2.5 以空間平均模型描述土壤性質空間變異性 11 2.5.1 傳統空間平均模型 12 2.5.2 權重幾何平均模型 12 2.6 Pseudo incremental energy (PIE) 模型 13 第三章 研究方法 15 3.1 研究方法 15 3.1.1 研究流程 15 3.2穩態對數隨機場 16 3.3 滲透係數的均質化 17 3.4 正規化最小平方法 (RLS法) 17 3.5 分析方法 19 3.5.1 穩態土壤特性模擬 19 3.5.2 多層土案例分析方法 20 3.5.3 飽和滲流分析 22 3.5.4 非飽和滲流分析 30 第四章 結果分析與比較 36 4.1 分析結果 36 4.1.1初步分析結果 (二維土壤柱與開挖含擋土牆案例) 36 4.1.2 新PIE模型 40 4.1.3 單層土案例分析結果 42 4.1.4 多層土案例分析方法之選定 81 4.1.5 多層土案例分析結果 86 第五章 現地案例驗證 119 5.1 現地案例介紹 119 5.1.1 抽水井案例介紹 120 5.1.2 現地滲透係數資料 121 5.2 現地案例分析方法 122 5.2.1 SBL分析方法 122 5.2.2 新PIE模型分析方法 126 5.3 現地案例分析結果 128 5.3.1 條件式隨機場分析結果 128 5.3.2 新PIE模型分析結果 131 第六章 結論與未來建議 134 6.1 結論 134 6.2 未來建議 135 第七章 參考資料 136 附錄I 口試問答紀錄 138 | |
| dc.language.iso | zh-TW | |
| dc.subject | 均質化模型 | zh_TW |
| dc.subject | 空間變異性 | zh_TW |
| dc.subject | 隨機場 | zh_TW |
| dc.subject | 有限元素分析 | zh_TW |
| dc.subject | 有效滲透係數 | zh_TW |
| dc.subject | 新PIE模型 | zh_TW |
| dc.subject | Spatial variability | en |
| dc.subject | Finite element analysis | en |
| dc.subject | Random field | en |
| dc.subject | Spatial average model | en |
| dc.subject | New pseudo incremental energy model | en |
| dc.subject | Effective hydraulic conductivity | en |
| dc.title | 均質化具空間變異性土體之有效滲透係數 | zh_TW |
| dc.title | Homogenization of Effective Soil Hydraulic Conductivity with Spatial Variability | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 劉家男(Hsin-Tsai Liu),王瑞斌(Chih-Yang Tseng) | |
| dc.subject.keyword | 空間變異性,隨機場,有限元素分析,有效滲透係數,新PIE模型,均質化模型, | zh_TW |
| dc.subject.keyword | Spatial variability,Random field,Finite element analysis,Effective hydraulic conductivity,New pseudo incremental energy model,Spatial average model, | en |
| dc.relation.page | 140 | |
| dc.identifier.doi | 10.6342/NTU202101628 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2021-07-22 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| Appears in Collections: | 土木工程學系 | |
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| File | Size | Format | |
|---|---|---|---|
| U0001-2107202114263400.pdf | 21.37 MB | Adobe PDF | View/Open |
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