滑坡深部變形行為的聲發(fā)射監(jiān)測方法研究

第1章引言
1.1研究背景及意義
1.1.1選題背景
1.1.2研究意義
1.2國內(nèi)外研究現(xiàn)狀
1.2.1滑坡過程變形行為研究
1.2.2滑坡變形監(jiān)測技術(shù)研究
1.2.3滑坡變形預警模型研究
1.2.4研究現(xiàn)狀總結(jié)
1.3本書研究內(nèi)容
第2章滑坡深部變形聲發(fā)射監(jiān)測技術(shù)
2.1本章引論
2.2土質(zhì)滑坡聲發(fā)射監(jiān)測技術(shù)
2.2.1聲發(fā)射監(jiān)測技術(shù)發(fā)展歷程
2.2.2有源波導聲發(fā)射信號測量
2.3滑坡聲發(fā)射監(jiān)測技術(shù)驗證
2.3.1滑坡現(xiàn)場監(jiān)測
2.3.2滑坡模型實驗
2.4滑坡變形-聲發(fā)射關(guān)系分析
2.4.1聲發(fā)射信號的影響因素
2.4.2滑坡速度的聲發(fā)射量化
2.5本章小結(jié)
第3章滑坡深部變形行為聲發(fā)射監(jiān)測實驗研究
3.1本章引論
3.2實驗設計與過程
3.2.1實驗裝置和材料
3.2.2實驗方案和過程
3.3實驗結(jié)果分析和討論
3.3.1運動學和力學特征
3.3.2滑坡變形-聲發(fā)射響應規(guī)律
3.3.3基于聲發(fā)射的滑坡預警指標
3.4本章小結(jié)
第4章滑坡變形聲發(fā)射監(jiān)測數(shù)據(jù)分析模型研究
4.1本章引論
4.2滑坡運動狀態(tài)自動分類模型
4.2.1分類模型構(gòu)建
4.2.2分類模型實驗數(shù)據(jù)驗證
4.2.3分類模型現(xiàn)場數(shù)據(jù)驗證
4.3滑坡位移自動預測模型
4.3.1預測模型構(gòu)建
4.3.2預測模型現(xiàn)場數(shù)據(jù)驗證
4.4滑坡風險預警策略
4.5本章小結(jié)
第5章滑坡聲發(fā)射監(jiān)測系統(tǒng)現(xiàn)場試驗研究
5.1本章引論
5.2設備研發(fā)及現(xiàn)場試驗
5.2.1新型監(jiān)測設備設計
5.2.2聲發(fā)射監(jiān)測系統(tǒng)及應用
5.2.3現(xiàn)場試驗方案及案例
5.3滑坡監(jiān)測數(shù)據(jù)機器學習分析
5.3.1滑坡現(xiàn)場監(jiān)測數(shù)據(jù)
5.3.2機器學習分析結(jié)果
5.4本章小結(jié)
第6章總結(jié)與展望
6.1研究總結(jié)
6.2創(chuàng)新點
6.3展望
參考文獻
在學期間完成的相關(guān)學術(shù)成果
致謝
 
 
 
 
 
 
 
 
 
Contents
Chapter 1Introduction
1.1Background and Significance
1.1.1Background
1.1.2Significance
1.2Literature Review
1.2.1Landslide Deformation Behavior
1.2.2Landslide Deformation Monitoring Technology
1.2.3Landslide Early Warning Model
1.2.4Summary
1.3Structure of This Book
Chapter 2Landslide Subsurface Deformation Monitoring Using Acoustic Emission Technology
2.1Introduction
2.2Acoustic Emission Monitoring Technology For Soil Landslides
2.2.1History of Acoustic Emission Monitoring Technology
2.2.2Measurement of Acoustic Emission Signal From Active Waveguide
2.3Validation of Landslide Acoustic Emission Monitoring Technology
2.3.1Landslide Field Monitoring
2.3.2Landslide Physical Modelling
2.4Analysis of Landslide Deformation ?coustic Emission Relationship
2.4.1The Influence of System Variables Upon the Acoustic Emission Signal
2.4.2Quantification of Landslide Velocity Based on Acoustic Emission
2.5Summary
Chapter 3Experimental Investigation on Acoustic Emission Monitoring For Landslide Subsurface Deformation Behavior
3.1Introduction
3.2Experimental Design and Procedure
3.2.1Experimental Apparatus and Materials
3.2.2Experimental Programme and Procedure
3.3Analysis and Discussion of Experimental Results
3.3.1Kinematic and Mechanical Characteristics
3.3.2Landslide Deformation-Acoustic Emission Response Pattern
3.3.3Acoustic Emission Based Landslide Early Warning Indicator
3.4Summary
Chapter 4Landslide Deformation Analysis Model Based on Acoustic Emission Monitoring Data
4.1Introduction
4.2Automatic Classification Model For Landslide Movement States
4.2.1Classification Model Building
4.2.2Classification Model Validation Using Experimental Data
4.2.3Classification Model Validation Using Field Data
4.3Automatic Prediction Model For Landslide Displacement
4.3.1Prediction Model Building
4.3.2Prediction Model Validation Using Field Data
4.4Landslide Risk Early Warning Strategy
4.5Summary
Chapter 5Field Trial Study of A Novel Acoustic Emission System For Landslide Monitoring
5.1Introduction
5.2Equipment Development and Field Trials
5.2.1Design of Novel Monitoring Equipment
5.2.2Novel Acoustic Emission Monitoring System And Application
5.2.3Field Trial Programme And Case Studies
5.3Machine Learning Analysis of Landslide Monitoring Data
5.3.1Landslide Field Monitoring Data
5.3.2Machine Learning Analysis Result
5.4Summary
Chapter 6Conclusions and Prospects
6.1Conclusions
6.2Original Contributions to Knowledge
6.3Prospects
References
List of Publications
Acknowledgements