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研究生:辜炳寰
研究生(外文):Bing-Huang Ku
論文名稱:類神經網路於土壤液化評估之應用
論文名稱(外文):Application of Artificial Neural Network in Soil Liquefaction Potential Evaluation
指導教授:陳景文陳景文引用關係
指導教授(外文):Jing-wen Chen
學位類別:碩士
校院名稱:國立成功大學
系所名稱:土木工程學系碩博士班
學門:工程學門
學類:土木工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:117
中文關鍵詞:類神經網路液化
外文關鍵詞:artifical neural networkliquefaction
相關次數:
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摘要
1999年9月21日於台灣發生的集集大地震,芮氏地震規模高達7.3,員林地區由於靠近主要斷層斷裂帶,土壤液化造成嚴重的災害。為分析靠近斷層區域的液化潛能,於集集大地震後,在員林地區立即展開大規模的土壤鑽探調查。這項珍貴的土壤資料提供獨一無二的機會來發展本土之土壤液化評估模式。
不同於之前分析過員林地區土層鑽探資料的文獻,本研究採用了類神經網路作為分析工具來發展簡易經驗評估法來評估土壤液化問題。在論文中,首先提出一套合乎邏輯的程序來篩選土壤鑽探資料,而用來發展類神經網路系統整體結構和分析流程將於文中詳細探討。文中共使用279筆鑽探資料來加以分析,其中223筆資料用來作為類神經網路之訓練資料,而另外56筆則用來測試。最後經由類神經網路學習和分析的結果,顯示類神經網路液化評估模式成效不錯,但侷限於研究資料集中於員林地區,故本研究主旨為提出一套新的簡易經驗法研究模式。希望能對研究本土靠近斷層區域的土壤液化問題有所幫助。
During the magnitude 7.3 Chi-Chi earthquake that occurred in Taiwan on September 21st, 1999, soil liquefaction has caused serious damages in the Yuanlin township, which locates next to the major fault rupture. In an effort to characterize liquefaction potential of near-fault area, extensive soil explorations had been performed in Yuanlin soon after the Chi-Chi earthquake. This valuable soil information has provided a unique opportunity for developing localized soil liquefaction evaluation methodology.

Different from previous works that has been done in analyzing Yuanlin soil exploration data, this study has adopted artificial neural networks as the analysis tool to develop a probabilistic soil liquefaction evaluation methodology. In this paper, the authors first present the logics and procedures of soil exploration data reduction and filtering. Structures and analysis logics of the developed artificial neural network system are then presented in details. Total 279 sets of boring log data were reduced for this study, 223 sets of data were used for training, and 56 were for testing. Finally, learning and analysis results of the artificial neural network system are presented as a soil liquefaction potential map of Yuanlin area. Result of this study has shown that the developed neural network method is capable of predicting liquefaction potential of near fault area in a reasonable range. Progress of this study is hoped to be of help understanding near-fault area soil liquefaction potential prediction as well as soil liquefaction hazard zonation.
目 錄
摘要 Ⅰ
誌謝 Ⅱ
目錄 Ⅲ
圖目錄 Ⅵ
表目錄 Ⅷ
符號說明 Ⅹ
第一章 緒論 1
1-1研究動機 1
1-2研究目的及方法 2
1-3論文內容 3
第二章 文獻回顧 5
2-1液化機制 5
2-2影響土壤液化之因素 6
2-2-1土壤本身因素 6
2-2-2外力作用特性 10
2-2-3 SPT鑽探修正因素 10
2-3土層液化潛能評估法 13
2-3-1液化潛能評估方法分類 13
第三章 簡易經驗評估法 17
3-1 NCEER修正之Seed簡易經驗分析法(1997) 19
3-2 Tokimatsu和Yoshimi(1983)簡易經驗分析法 21
3-3 Iwasaki(1986)簡易經驗分析法 24
3-4 新日本道路橋(1996)建議分析法 26
3-5 SPT簡易經驗法之比較 31
3-6 Juang 氏(2000)簡易經驗分析法 37
3-6-1 Juang氏分析法之發展 37
3-6-2臨界狀態定義 38
3-6-3 CSR model 39
3-6-4由臨界狀態曲線求解CRR model 40
3-6-5液化阻抗安全係數(FS)及液化機率(PL) 45
第四章 員林地區鑽孔資料 47
4-1員林地區現地之鑽探調查 47
4-2鑽孔資料簡介 52
4-3地震特性參數 55
第五章 類神經網路 59
5-1類神經網路基本架構 60
5-2倒傳遞類神經網路基本架構 62
5-3程式倒傳遞類神經網路建構 63
5-3-1網路系統參數之決定 64
第六章 研究方法 71
6-1 SPT鑽探資料之整理分類 76
6-1-1 土層篩選 76
6-1-2 初步土層分類—選取液化與非液化土層 77
6-1-3 初步土層判定之結果討論 79
6-2類神經網路研究流程 80
6-2-1液化指示函數(ANN-1 model) 80
6-2-2臨界狀態(Critical State) 82
6-2-3 SPT臨界狀態函數(ANN-2 model) 88
6-2-4液化阻抗安全係數 89
6-2-5類神經網路評估法之測試 89
6-3類神經網路評估法之分析結果 90
第七章 結論與建議 96
7-1結論 96
7-2建議 97
參考文獻 100
附錄一 員林地區鑽孔土層基本資料 106
附錄二 土層判定結果 112
參考文獻

1.古志生,「CPT土壤分類及液化評估之研究」,國立成功大學土木工程研究所博士論文 (2001)。
2.李咸亨、劉家男、吳志明、郭政彥,「適用於國內之液化潛能評估方法之研究」國科會工程處,九十學年度期中研究成果研討會論文集,第65-72頁 (2002)
3.林佳賢,「員林地區土壤受震勁度折減之探討」,國立台灣大學土木工程研究所碩士論文 (2000)。
4.亞新工程顧問股份有限公司,民國89年4月,土壤液化評估與處理對策研擬第一期計畫(彰化縣員林鎮、大村鄉及社頭鄉)土壤液化現狀調查報告,行政院國家科學委員會。(2000)
5.邱建銘,「以剪力波速評估員林地區液化及其地層動態反應研究」,國立台灣大學土木工程研究所碩士論文 (2000)。
6.陳昶華,「現場地層下陷量及地下水位預估方法之探討」,國立成功大學土木工程研究所碩士論文(1999)。
7.陳柏仁,「高雄市地表加速度受局部地質影響之探討與土層液化潛能評估」,國立成功大學土木工程研究所碩士論文(2001)。
8.許乃文,「灰色理論及類神經網路應用於雲林地區地層下陷之研究」,國立成功大學土木工程研究所碩士論文(1999)。
9.張朝盛,「土壤液化潛能之類神經網路分析」,國立交通大學土木工程研究所碩士論文 (2000)。
10.唐瑋廷,「砂性土層液化潛能評估─模糊類神經網路」,國立台灣大學土木工程研究所碩士論文(2000)。
11.黃一正,「全機率土壤液化分析法」,國立中央大學土木工程研究所碩士論文(2000)。
12.黃凱達,「砂性土層液化潛能之模糊集合評估研究」,國立台灣大學土木工程研究所碩士論文(2000)。
13.黃麗兒,「水泥混合處理砂質土壤液化特性之改良研究」,國立中央大學土木工程研究所碩士論文(2000)。
14.萬明憲,「台南地區地層液化潛能分析」,國立成功大學土木工程研究所碩士論文(2001)。
15.Chen, C. J. and Juang, C.H., “Calibration of SPT- and CPT-based liquefaction evaluation methods, ” Innovations and Applications in Geotechnical Site Characterization, Geotechnical Special Publication No. 97, P.W. Mayne and R. Hryciw eds., ASCE, Reston, VA, pp. 49-64, (2000).
16.Ghaboussi, J. and Lin, C-C. J. “A New Method of Generating Earthquake Accelerograms Using Neural Networks” International Journal for Earthquake Engineering and Structural Dynamics, Vol.27, Issue 4,377-396 ,(1998).
17.Iwasaki, T., Arakawa, T., and Tokida, k., “Simplified Procedures for Assessing Soil Liquefaction During Earthquakes, ” Soil Dynamics and Earthquake Engineering Conference, Southampton, pp. 925-939, (1982).
18.Iwasaki, T., “Soil Liquefaction Study in Japan: State-of-the-Art,” Soil Dynamics and Earthquake Engineering, Vol.5, No. 1, (1986).
19.Juang, C.H. , Chen, C. J., “CPT-Based Liquefaction Evaluation Using Artificial Neural Networks, ” Journal of Computer-Aided Civil and Infrastructure Engineering, Vol. 14, pp. 221-229, (1999).
20.Juang, C.H., Chen, C.J., and Tien, Y.M., “Appraising CPT-Based Liquefaction Resistance Evaluation Methods – Artificial Neural Network Approach, ” Canadian Geotechnical Journal, Vol. 36, No. 3, pp. 443-454, (1999).
21.Juang, C.H., Rosowsky, D.V., and Tang, W.H., “Reliability-based method for assessing liquefaction potential of sandy soils, ” Journal of Geotechnical and Geoenvironmental Engineering, ASCE, Vol. 125, No. 8, pp. 684-689, (1999).
22.Juang, C.H., Chen, C.J., Tang, W.H., and Rosowsky, D.V., “CPT-based liquefaction analysis, Part 1: Determination of limit state function,” Geotechnique, Geotechnique, Vol. 50, No. 5, pp. 583-592, (2000).
23.Juang, C.H., Chen, C.J., Rosowsky, D.V., and Tang, W.H., “CPT-based liquefaction analysis, Part 2: Reliability for design, ” Geotechnique, Vol. 50, No. 5, pp. 593-599, (2000).
24.Juang, C.H. and Chen, C.J., “A rational method for development of limit state for liquefaction evaluation based on shear wave velocity data, ” Int. Journal for Numerical and Analytical Methods in Geomechanics, Vol. 24, pp. 1-27, (2000).
25.Juang, C.H., Chen, C.J., and Jiang, T., “A probabilistic framework for liquefaction potential by shear wave velocity, ” Journal of Geotechnical and Geoenvironmental Engineering, ASCE, Vol. 127, No. 8, pp. 670-678, (2001).
26.Juang, C.H., Chen, C.J., Jiang, T., and Andrus, R.D., “Risk-based liquefaction potential evaluation using standard penetration tests,” Canadian Geotechnical Journal, Vol. 37, No. 6, pp. 1195-1208, (2000).
27.Juang, C.H. and Jiang, T., “Assessing probabilistic methods for liquefaction potential evaluation, ” Soil Dynamics and Liquefaction 2000, Geotechnical Special Publication No. 107, R.Y.S. Pak and J. Yamamura, eds., ASCE, Reston, VA, pp. 148-162, (2000).
28.Juang, C.H., Jiang, T. and Andrus, R.D., “Assessing probability-based methods for liquefaction evaluation,” Journal of Geotechnical and Geoenvironmental Engineering, ASCE, (2001).
29.Kramer, S. L. , “ Geotechnical Earthquakes Engineering, ”Prentice-Hall International Series in Civil Engineering and Engineering Mechanics,New Jersey, (1996).
30.Lin, C-C. J., and Ghaboussi, J. “Generating Multiple Spectrum Compatible Accelerograms Using Stochastic Neural Networks”, International Journal for Earthquake Engineering and Structural Dynamics, Vol.30, Issue 7, 1021-1042 ,(2001).
31.Lin, C-C. J. “A Neural Network Based Methodology for Generating Spectrum Compatible Earthquake Accelerograms”, Ph.D. thesis, Department of Civil Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, Dec. (1999).
32.Liquefaction Resistance of Soils:Summary Report from the 1996 NCEER and 1998 NCEER/NSF Workshops of Evaluation of Liquefaction Resistance of Soils .
33.Liao, S., and Whitman, R.V., “Overburden Correction Factors for SPT in Sand,” Journal of the Geotechnical Engineering Division, ASCE, Vol. 112, No. 3, pp. 373-377, (1986).
34.Robertson, P.K., and Wride, C.E., “Cyclic Liquefaction and It’s Evaluation Based on the SPT and CPT,” Proc. of NCEER Workshop on the Evaluation of Liquefaction Resistance of Soils, Technical Report NCEER-97-0022, pp. 41-88, (1997).
35.Rumelhart, D.E., G.E. Hinton,and R.J.Williams. “Learning internal representations by error propagation,” IN . E.Rumelhart, J.L. McClelland, et al., eds., Parallel Distributed Processing, vol.1,chap.8.Cambridge,MA:MIT Press.(1986a)
36.Rumelhart, D.E., G.E. Hinton,and R.J.Williams. “Learning representations by backpropagation errors,” Nature 523:533-536.(1986b)
37.Rumelhart, D.E., and D.Zipser. “Feature discovery by competitive learning,”IN D.E..Rumelhart,J.L.McClelland, et al.,eds.,Parallel Distributed Processing, vol.1,chap.5.Cambridge,MA:MIT Press.(1986)
38.Seed, H. B. and Idriss, I.M., “Simplified Procedure for Evaluating Soil Liquefaction Potential”, Journal of Soil Mechanics and Foundations Division, ASCE, Vol. 97, No. SM9, pp. 1249-1274. (1971).
39.Seed, H.B., Mori, K., and Chan, C.K., “Influence of Seismic History on the Liquefaction Characteristics of Sands, ”Report No. EERC 75-25, Earthquake Research Center, University of California, Berkeley, California, (1975a).
40.Seed, H.B., Martin, P.P., and Lysmer, J., “The Generation and Dissipation of Pore Water Pressure During Soil Liquefaction.” Report No. EERC 75-26, Earthquake Research Center, University of California, Berkeley, California, (1975b).
41.Seed, H.B., Idriss, I.M., and Arango, I., “Evaluation of Liquefaction Potential Using Field Performance Data,” Journal of the Geotechnical Engineering Division, ASCE, Vol. 109, No. GT3, pp. 458-482, (1983).
42.Seed, H.B., Tokimatsu, K., Harder, L.F., and Chung, R.M., “The Influence of SPT Procedure in Soil Liquefaction Resistance Evaluation,” Report No. EERC 84-15, Earthquake Research Center, University of California, Berkeley, California, (1984).
43.Seed, H.B., Tokimatsu, K., Harder, L.F., and Chung, R.M., “Influence of SPT Procedures in Soil Liquefaction Resistance Evaluations,” Journal of the Geotechnical Engineering Division, ASCE, Vol. 111, No. 12, pp. 1425-1445, (1985).
44.Silver, M.L., and Seed, H.B., “Deformation Characteristic of Sands Under Cyclic Loading,” Journal of the Soil Mechanics and Foundations Division, ASCE, Vol. 97, No. SM8, (1971).
45.Tokimatsu, K., and Yoshimi, Y., “Empirical Correlation of Soil Liquefaction Based on SPT N-Value and Fines Content,” Soils and Foundations, JSSMFE, Vol. 23, No. 4, pp. 56-74, (1983).
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