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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 卿建業 | |
dc.contributor.author | Szu-Wei Lee | en |
dc.contributor.author | 李思緯 | zh_TW |
dc.date.accessioned | 2021-05-19T17:40:05Z | - |
dc.date.available | 2029-08-13 | |
dc.date.available | 2021-05-19T17:40:05Z | - |
dc.date.copyright | 2019-08-19 | |
dc.date.issued | 2019 | |
dc.date.submitted | 2019-08-13 | |
dc.identifier.citation | Au, S.K. and Beck, J.L. (2001). Estimation of small failure probabilities in high dimensions by subset simulation. Probabilistic Engineering Mechanics, 16(4), 263-277.
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Quarterly Journal of Engineering Geology and Hydrogeology, 35(1), 41-49. Hicks, M.A. and Samy, K. (2004). Stochastic evaluation of heterogeneous slope stability. Italian Geotechnical Journal, 38(2), 54-66. Hicks, M.A. and Spencer, W.A. (2010). Influence of heterogeneity on the reliability and failure of a long 3D slope. Computers and Geotechnics, 37(7-8), 948-955. Hicks, M.A., Chen, J., and Spencer, W.A. (2008). Influence of spatial variability on 3D slope failures. WIT Transactions on Information and Communication Technologies, 39, 335-342. Hicks, M.A., Nuttall, J.D., and Chen, J. (2014). Influence of heterogeneity on 3D slope reliability and failure consequence. Computers and Geotechnics, 61, 198-208. Hu, Y.G. (2014). Impact of Spatial Variability in Clay on Active Lateral Force. Ph.D. Dissertation, National Taiwan University. Huang, C.C., Tsai, C.C., and Chen, Y.H. (2002). Generalized method for three-dimensional slope stability analysis. ASCE Journal of Geotechnical and Geoenvironmental Engineering, 128(10), 836-848. Jha, S.K. and Ching, J. (2013). Simulating spatial averages of stationary random field using the Fourier series method. ASCE Journal of Engineering Mechanics, 139(5), 594-605. Ji, J. and Chan, C.L. (2014). Long embankment failure accounting for longitudinal spatial variation–A probabilistic study. Computers and Geotechnics, 61, 50-56. Lacasse, S.M., Ladd, C.C., and Barsvary, A.K. (1977). Undrained behavior of embankments on New Liskeard varved clay. Canadian Geotechnical Journal, 14(3), 367-388. Lam, L. and Fredlund, D.G. (1993). A general limit equilibrium model for three-dimensional slope stability analysis. Canadian Geotechnical Journal, 30(6), 905-919. Leshchinsky, D. and Huang, C.C. (1992). Generalized three-dimensional slope-stability analysis. ASCE Journal of Geotechnical Engineering, 118(11), 1748-1764. Li, H. S. (2011). Subset simulation for unconstrained global optimization. Applied Mathematical Modelling, 35(10), 5108-5120. Li, Y.J., Hicks, M.A., and Nuttall, J.D. (2015). Comparative analyses of slope reliability in 3D. Engineering Geology, 196, 12-23. Liu, H.L., Ng, C.W., and Fei, K. (2007). Performance of a geogrid-reinforced and pile-supported highway embankment over soft clay: Case study. ASCE Journal of Geotechnical and Geoenvironmental Engineering, 133(12), 1483-1493. Mason, D., Brabhaharan, P. & Saul, G. (2017). Performance of road networks in the 2016 Kaikōura earthquake: Observations on ground damage and outage effects. Proc. 20th NZGS Geotechnical Symposium. Eds. GJ Alexander & CY Chin, Napier Paice, G.M. and Griffiths, D.V. (1997). Reliability of an undrained clay slope formed from spatially random soil. Proc. IACMAG 97 (ed. Yuan J.-X.), 543-548. Phoon, K.K. (1995). Reliability-Based Design of Foundations for Transmission Line Structures, Ph.D. Dissertation, Cornell University. Rogers, J. D. (2016). Mississippi river levee. Missouri S&T weblink. http://web.mst.edu/~rogersda/levees/. Accessed: 2016-02-18. Shinozuka, M. and Yamazaki, F. (1995). Stochastic finite element analysis: An introduction. In Stochastic Structural Dynamics (eds. Ariaratnam, S.T. et al.), Elsevier Applied Science Publishers Ltd. Schwarz, G.E. (1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461-464. Schweckendiek, T. (2014). “On reducing piping uncertainties: A Bayesian decision approach.” Ph.D. thesis, Delft University of Technology, Delft, the Netherlands. Tabarroki, M. and Ching, J. (2019). Discretization error in random finite element method for spatially variable undrained shear strength. Computers and Geotechnics, 105, 183-194. Vanmarcke, E.H. (1977a). Reliability of earth slopes. ASCE Journal of Geotechnical Engineering Division, 103(11), 1247-1265. Vanmarcke, E.H. (1977b). Probabilistic modeling of soil profiles. ASCE Journal of Geotechnical Engineering Division, 103(11), 1227-1246. Xiao, T., Li, D.Q., Cao, Z.J., Au, S.K., and Phoon, K.K. (2016). Three-dimensional slope reliability and risk assessment using auxiliary random finite element method. Computers and Geotechnics, 79, 146-158 Yücemen, M.S. and Al-Homoud, A.S. (1990). Probabilistic three-dimensional stability analysis of slopes. Structural Safety, 9(1), 1-20. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/7187 | - |
dc.description.abstract | 長邊坡的穩定性是大地工程中重要的問題,例如公路堤防、土堤、河堤及海堤等通常都具有均勻的橫切面特性,且在第三個維度中延伸一段很長的距離,而這些長土壤結構物一般都具有隨著空間變化的土壤性質。這些結構物如果產生破壞,將可能帶來重大的經濟損失及付出大量的社會成本。因此,土壤的空間變異性對於這類長『線性』結構物的穩定性問題及破壞機制的影響,是非常值得深入研究及探討的課題。
由於全球性極端氣候的影響,在一些具有特殊地形的國家或地區,堤防工程系統對他們來說是重要的國家建設工程。例如荷蘭,整個國家有四分之一以上的土地低於海平面,是世界上地勢最為低窪的國家之一,在極端氣候的影響之下,當地的國土危機將會是個非常嚴重的問題。因此,土堤的防洪系統為荷蘭的重大建設之一,而此系統被視為一個串聯系統,如破壞發生於任一區域,將可能引發災難性的後果。 為了確保這些長邊坡系統的性能合乎國家標準,使用隨機分析的結果來進行設計是必要的,例如:Vanmarcke的分析方法。然而,這個方法雖然使用上『快速』,卻存在一些確切的簡化假設,例如:有限長度的圓柱形破壞面。而這些確切簡化假設對於破壞機率估算的影響,為本論文的研究重點之一。 本論文發展一個新的簡化方法可以用來預測具有空間變異性之不排水長邊坡的破壞機率,也同時可以預測不排水長邊坡滑動塊體的長度及體積。研究發現,利用Vanmarcke的分析方法估算出來的破壞機率、滑動塊體長度及體積與一個更為嚴謹的分析方法得到的『參考解』有明顯偏差。這個新簡化方法採用一個已被修正的Vanmarcke分析方法來得到『初步解』,再使用回歸方程式校正這些『初步解』的偏差,使得最終的估算結果接近於『參考解』。 最終,本論文提出的分析方法,在不偏離Vanmarcke最初的分析方法太多的情況下,能用簡單的方式將這些估算值校正至相對『準確』的結果,這個分析流程能讓使用者作到『快速』且『準確』的簡化風險評估。 | zh_TW |
dc.description.abstract | The stability of a long slope is a significant issue in geotechnical engineering. For instance, highway embankments, earth embankments, river dykes and sea dykes usually have a uniform cross-section and extend for a long distance in the third dimension. These long soil structures are generally characterised by spatially varying soil properties. The failures for theses structures may have significant economic and societal consequences. Hence, the influence of soil spatial variability on the stability and failure mechanisms of these ‘linear’ structures is worthy to investigate for engineers.
The dyke engineering system is a considerable national construction project for some countries with unique topography due to the global extreme climate. For instance, more than a quarter of the country’s land is below sea level in the Netherlands. The Netherlands is one of the most low-lying countries in the world. The land crisis for this country will be a very serious problem due to the influence of extreme weather. Therefore, the earthen levee flood protection system is one of the major constructions in the Netherlands, and it can be viewed as series systems, where failure at one location can result catastrophic consequences. In order to ensure the performance of these long-slope systems, standards explicitly require probabilistic designs. For instance, this may include Vanmarcke’s method. However, although it is ‘fast’ to evaluate, there exists some certain simplifying assumptions, e.g., the cylindrical failure surface with a finite length. The impact of these assumptions is one of the focuses in this thesis. This thesis develops a novel method for predicting the failure probability (pf) of a spatially variable undrained long slope. The method can also predict the length (bc) and volume (Vc) of the sliding mass of the undrained long slope. It is found that the (pf, bc, Vc) solutions computed by Vanmarcke’s method deviate significantly from the reference solutions computed by a more rigorous method. The proposed novel method adopts a revised Vanmarcke’s method to obtain preliminary solutions, and regression equations are applied to correct the biases of the preliminary solutions such that the corrected solutions are close to the reference solutions. The effectiveness of the proposed novel method is demonstrated through a case study. Finally, the proposed novel method can adopt a simple way to correct these estimations to the relatively ‘accurate’ solutuons without deviating from the original Vanmarcke’s method. The process can make users obtain ‘fast’ and ‘accurate’ simplified risk assessments. | en |
dc.description.provenance | Made available in DSpace on 2021-05-19T17:40:05Z (GMT). No. of bitstreams: 1 ntu-108-D01521002-1.pdf: 4865516 bytes, checksum: 1d019a6269eece0c4522b5a597d42a06 (MD5) Previous issue date: 2019 | en |
dc.description.tableofcontents | 口試委員會審定書 I
摘要 II Abstract III 目錄 V 圖目錄 VIII 表目錄 XI 符號及縮寫說明 XII 第一章 導論 1 1.1 研究背景與動機 1 1.2 研究目的與範圍 2 第二章 文獻回顧 6 2.1 空間變異性 9 2.1.1 固有變異性 11 2.1.2 自相關函數 13 2.1.3 關聯性長度 15 2.2 穩態隨機場模型 17 2.2.1 單點穩態隨機場模擬 17 2.2.2 穩態隨機場的局部平均 22 2.2.3 穩態隨機場的中點法 24 2.2.4 穩態隨機場的曲面積分 26 2.3 空間平均效應 28 2.3.1 一維變異數折減因子 28 2.3.2 二維變異數折減因子 30 2.4 三維極限平衡法 31 2.4.1 碗狀表面潛在滑動塊體 31 2.4.2 安全係數估算公式 32 2.5 三維有限元素法 33 2.5.1 二維均質邊坡模型的強度折減法 33 2.5.2 三維均質邊坡模型的強度折減法 37 2.6 蒙地卡羅模擬法 40 2.7 子集合模擬法 41 2.8 三維邊坡的隨機分析 43 2.8.1 Vanmarcke的簡化三維邊坡模型 44 2.8.2 三維隨機有限元素法 44 2.9 貝葉斯信息準則 51 第三章 研究方法 52 3.1 Vanmarcke簡化三維模型的分析方法 52 3.1.1 簡化三維邊坡模型 52 3.1.2 分析方法及結果的詳細步驟 53 3.1.3 最小化可靠度指標與最小化安全係數期望值的差異 64 3.1.4 採用三維隨機極限平衡法的原因 65 3.2 三維隨機極限平衡法 66 3.2.1 三維隨機極限平衡法的分析模型 66 3.2.2 三維隨機極限平衡法的表現成果 70 3.3 三維邊坡可靠度分析比較結果 72 3.3.1 模擬邊坡案例樣本的準則 72 3.3.2 不同可靠度方法的分析過程 72 3.3.3 不同可靠度方法的比較結果 73 第四章 分析模型 76 4.1 Vanmarcke分析方法的假設及影響 76 4.1.1 Vanmarcke分析方法的假設 76 4.1.2 Vanmarcke假設帶來的影響 78 4.2 簡化風險評估預測方法 81 4.2.1 預測方法的分析流程 81 4.2.2 趨於保守端的風險估算方法 82 4.3 案例分析 84 4.3.1 土堤案例介紹及未紀錄參數的估算過程 84 4.3.2 簡化風險評估預測方法的估算值與其他分析結果的比較 87 4.4 不同自相關函數隨機場模型的適用性 88 4.4.1 平方指數模型隨機場模型的適用性 89 4.4.2 二階馬爾科夫模型隨機場模型的適用性 91 第五章 結論與建議 93 5.1 結論 94 5.2 建議 95 參考文獻 97 附錄 101 附錄A 利用傅立葉級數法模擬零期望值穩態高斯隨機場 101 附錄B 穩態隨機場的局部平均 106 附錄C 子集合模擬法的樣本數量驗證 108 附錄D 三維隨機有限元素法最小元素尺寸的驗證 121 附錄E 阻抗能力曲面積分的詳細證明過程 125 附錄F M0及M123法於不同自相關函數模型下的分析結果 128 附錄G 博士學位考試口試委員提問與回覆對照表 146 | |
dc.language.iso | zh-TW | |
dc.title | 具有空間變異性之不排水長邊坡的簡化風險評估 | zh_TW |
dc.title | Simplified Risk Assessment for a Spatially Variable Undrained Long Slope | en |
dc.type | Thesis | |
dc.date.schoolyear | 107-2 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | 黃燦輝,葛宇甯,林志平,王瑞斌 | |
dc.subject.keyword | 不排水長邊坡,空間變異性,可靠度,風險,土堤, | zh_TW |
dc.subject.keyword | undrained long slope,spatial variability,reliability,risk,embankment, | en |
dc.relation.page | 150 | |
dc.identifier.doi | 10.6342/NTU201903042 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2019-08-14 | |
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-lift | 2029-08-13 | - |
顯示於系所單位: | 土木工程學系 |
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