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研究生:施繼揚
研究生(外文):Ji-Yang Shih
論文名稱:遲滯圈能量原理應用於液化潛勢評估模式之建置
論文名稱(外文):Assessment of Earthquake-Induced Soil Liquefaction by Hysteresis Loop's Energy Principle
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:2009
畢業學年度:97
語文別:中文
論文頁數:101
中文關鍵詞:反覆三軸試驗遲滯圈能量類神經網路土壤液化
外文關鍵詞:Cyclic triaxial testHysteresis-loop energyArtificial Neural networkSoil liquefaction
相關次數:
  • 被引用被引用:4
  • 點閱點閱:166
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  • 下載下載:5
  • 收藏至我的研究室書目清單書目收藏:0
土壤液化一直是大地工程中很重要的課題,因此也發展出許多不同的液化評估法,其中簡易經驗評估法則為工程界所常用。自從Nemat-Nasser and Shokooh (1979)提出地震能量消散與孔隙水壓增量有關的概念後,根據能量觀點來探討液化之發生可能性便成為液化評估主要的研究方向之一。本研究利用室內反覆三軸試驗所得之土壤應力-應變關係之遲滯圈能量概念,針對土壤液化有關參數透過倒傳遞類神經網路訓練及模擬後,推求液化時之遲滯圈能量。研究中並運用大地離心機所模擬之地震案例與室內反覆三軸試驗發展出之類神經網路模型相互比較,藉以驗證類神經網路模型之適用性。本研究亦採921地震時所調查之現地資料,配合類神經網路液化能量模型,運用統計學中的判別分析來定義現地液化判別線;此外,並由判別分析推算液化機率,建立一現地土層能量式液化評估之經驗準則。結果顯示本研究所提出之能量式液化評估模式有其合理之評估能力,可擴展應用於大地工程理論與實務設計時之參考。
關鍵詞:土壤液化、類神經網路、遲滯圈能量、反覆三軸試驗。
The study of soil liquefaction has been one of the most important topics in the geotechnical engineering. There are many different methods, including simplified empirical methods which were in common used, have been developed to evaluate the liquefaction of soils. Since Nemat-Nasser and Shokooh (1979) proposed a concept relating to the relationship between earthquake energy and generation of excess pore water pressure during shaking, the investigation of soil liquefaction in accordance with energy principles has become one of the major research areas. In this study, the concept of hysteresis-loop energy of stress-strain relation was adopted and the experimental values of hysteresis-loop energy were obtained from triaxial tests. The hysteresis-loop energy on liquefaction state was trained and simulated by using Artificial Neural Networks (ANN). The hysteresis-loop energy obtained from geotechnical centrifuge tests was adopted to verify the suitability of the simulated hysteresis-loop energy by using ANN. Based on field observations of performance of sites subjected to Chi-Chi earthquake in 1999, the energy assessing in-situ liquefaction potential was also described. In this study, discriminate analysis was used to determine the equation of the boundary curve separating the data points with and without liquefaction. The proposed method shows capability in evaluating the probability of soil liquefaction and can be used for practice.
Keywords: Soil liquefaction; Artificial Neural network; Hysteresis-loop energy; Cyclic triaxial test
摘要 I
Abstract II
致謝 III
目錄 VIII
表目錄 XI
圖目錄 XIII
符號 XV
第一章 緒論 1
1.1前言 1
1.2研究動機 1
1.3研究目的及方法 2
1.4論文內容 2
第二章 文獻回顧 5
2.1 土壤液化之定義 5
2.2 土壤液化機制 6
2.3 影響土壤液化之因素 7
2.3.1 土壤本身特性 7
2.3.2 外力之作用 9
2.4 土層液化潛能評估法 9
2.4.1 簡易準則分析法 9
2.4.2 簡易經驗分析法 10
2.4.3 總應力分析法 26
2.4.4 有效應力分析法 26
2.5 類神經網路 27
2.5.1 類神經網路簡介 27
2.5.2 倒傳遞類神經網路基本架構 29
第三章 研究方法 33
3.1 能量消散模式之建立 33
3.1.1砂性土壤中的能量消散機制 33
3.1.2室內試驗推算之消散能量 35
3.2消散能量與孔隙水壓比之關係 39
3.3類神經網路應用於液化能量之推演 41
3.3.1數據前處理 42
3.3.2參數之率定 42
3.3.3網路系統參數之決定 43
3.4模擬現地液化能量之大地離心機模型 46
3.4.1離心機模型 46
3.4.2離心機模型之剪應力與剪應變關係 49
3.5 SUMDES程式介紹 50
3.6液化判定準則 56
3.7液化機率 59
第四章 反覆三軸應力-應變遲滯圈能量應用於液化潛之評估 63
4.1 試驗數據條件 63
4.2反覆三軸應力-應變遲滯圈能量分析 65
4.3倒傳遞類神經網路應用於液化評估模式建立 71
4.3.1倒傳遞類神經網路模型建立 71
4.3.2權重比例計算 73
4.4離心機模型之試驗結果與驗證 76
4.4.1剪應力與剪應變之推估 76
4.4.2類神經網路模式應用於離心機模型試驗能量評估之驗證 80
4.5應力-應變遲滯圈能量應用於液化判定準則之建立 82
4.6液化機率之評估 84
第五章 結論與建議 87
5.1結論 87
5.2建議 89
參考文獻 90
附錄一 現地土壤鑽孔資料 95
附錄二 C(Wh)能量法 96
附錄三 判別分析安全係數 97
附錄三 判別分析安全係數 98
附錄四 各現地鑽探點位之馬氏距離與液化機率 99
附錄四 各現地鑽探點位之馬氏距離與液化機率 100
作者簡述 101
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