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  1. NTU Theses and Dissertations Repository
  2. 理學院
  3. 地質科學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/740
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor胡植慶(Jyr-Ching Hu)
dc.contributor.authorBo-Han Tsaoen
dc.contributor.author曹博涵zh_TW
dc.date.accessioned2021-05-11T05:00:21Z-
dc.date.available2020-08-07
dc.date.available2021-05-11T05:00:21Z-
dc.date.copyright2019-08-07
dc.date.issued2019
dc.date.submitted2019-07-25
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/handle/123456789/740-
dc.description.abstract在西元2009年8月6日,莫拉克颱風襲擊台灣並引發許多山崩災害,其中包括位於嘉義縣梅山鄉油車寮聚落的油車寮地滑。根據災前與災後的相關研究,油車寮聚落附近的邊坡沿坡面發生數十公尺的位移,被認為是大規模崩塌發生的潛在區域。在本研究中,為釐清油車寮地滑的山崩機制,將應用質點影像測速(PIV)分析於兩對影像對中,並針對油車寮地滑的二維剖面模型進行有限元素法之數值模擬。
PIV結果顯示,油車寮地滑被觸發後主要向南滑動。崩塌塊體平均水平移動距離為40 公尺,最大滑移量為60公尺。然而,因地表覆蓋發生劇烈變化,以及PIV分析時搜尋窗格範圍過大,致使結果仍較不精確。
數值模擬結果中,由均質岩石或多層岩層組成的坡體均較滑動面已發育的坡體穩定。並且,以地表速度搭配數值模擬對潛在滑動面進行判釋的結果,雖能粗略推得滑動面形貌與深度,但與真實情形仍有出入。考量到地表下變形的機制,以此方法推估潛在滑動面可再搭配其他方法以精進。
zh_TW
dc.description.abstractIn August, 2009, the Typhoon Morakot hit Taiwan and induced many landslide hazards. An induced landslide event happened near the Yucheliao settlement, Meishan town, Chiayi county, Taiwan. According to data and research after Typhoon Morakot, slopes near Yucheliao are considered as potential region for deep-seated landslide. In this study, the characteristics of the Yucheliao Landslide event is examined with the particle image velocimetry (PIV) analysis and numerical simulation.
The PIV results show that the landslide block slipped southwardly after triggered. The block slip is 40 m averagely in horizontal distance, and the maximum slip is 60 m. However, the inaccuracy of the results occurs in the PIV analysis due to severe change in land cover and large interrogation window size.
From the numerical simulation, it is estimated that both the slope with homogeneous rock and slope with layered rock are more stable than the slope with pre-existing slip surface. The slip surface could be roughly interpreted by surface displacement with numerical modeling, but the depth and geometry have obvious differences from real situation. By considering the underground deformation of the landslide, the accuracy of interpreting potential slip surface could be improved when other approaches are applied.
en
dc.description.provenanceMade available in DSpace on 2021-05-11T05:00:21Z (GMT). No. of bitstreams: 1
ntu-108-R06224210-1.pdf: 9778098 bytes, checksum: 21b7ccdfe85a883402a26673360bc2f0 (MD5)
Previous issue date: 2019
en
dc.description.tableofcontents致謝 i
摘要 ii
Abstract iii
Content v
Figure Index vii
Table Index xii
1. Introduction 1
2. Study Area 11
3. Methodology 19
3.1 Particle Image Velocimetry (PIV) 19
3.1.1 Image preprocessing 29
3.1.2 Cross-correlation 32
3.1.3 Sub-pixel peak interpolation 35
3.1.4 Patch size 36
3.1.5 Multi-pass and multi-grid interrogation 38
3.2 Finite Element Method (FEM) 39
3.2.1 Basic of FEM 40
3.2.2 Mohr-Coulomb yield criterion and Extended Drucker-Prager yield criterion in Abaqus 44
3.2.1 Shear Strength Reduction Analysis 50
3.2.3 Interpretation of landslide sliding surface 52
3.2.4 Models in Numerical Simulation 53
4. Results 56
4.1 PIV analysis 56
4.1.1 Pre-event: Before Typhoon Morakot 56
4.1.2 Post-event: Through Typhoon Morakot 63
4.2 Numerical modeling 70
4.2.1 Model (1): Slope with homogeneous rock 70
4.2.2 Model (2): Slope with pre-existing slip surface 73
4.2.3 Model (3): Slope with sandstone-shale interbedding 76
4.2.4 Interpreting landslide sliding surface from PIV displacement data 78
5. Discussion 81
5.1 Feasibility assessment on PIV analysis 81
5.2 Result from PIV analysis 86
5.3 Numerical modeling 86
6. Conclusion 89
Reference 92
Appendix A. Parametric test on PIV 107
dc.language.isoen
dc.subject邊坡穩定分析zh_TW
dc.subject大規模崩塌zh_TW
dc.subject油車寮地滑zh_TW
dc.subject質點影像測速zh_TW
dc.subject有限元素法zh_TW
dc.subject強度折減法zh_TW
dc.subjectslope stability analysisen
dc.subjectdeep-seated landslideen
dc.subjectYucheliao landslideen
dc.subjectPIVen
dc.subjectFEMen
dc.subjectshear strength reductionen
dc.title以遙測影像與數值模擬分析油車寮地滑之特性zh_TW
dc.titleOn the Characteristics of Yucheliao Landslide in
Taiwan by Remote Sensing and Numerical Simulation
en
dc.date.schoolyear107-2
dc.description.degree碩士
dc.contributor.oralexamcommittee王泰典(Tai-Tien Wang),詹瑜璋(Yu-Chang Chan),董家鈞(Jia-Jyun Dong),曾佳漢(Chia-Han Tseng)
dc.subject.keyword大規模崩塌,油車寮地滑,質點影像測速,有限元素法,強度折減法,邊坡穩定分析,zh_TW
dc.subject.keyworddeep-seated landslide,Yucheliao landslide,PIV,FEM,shear strength reduction,slope stability analysis,en
dc.relation.page107
dc.identifier.doi10.6342/NTU201901977
dc.rights.note同意授權(全球公開)
dc.date.accepted2019-07-25
dc.contributor.author-college理學院zh_TW
dc.contributor.author-dept地質科學研究所zh_TW
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