목차

CHAPTER I INTRODUCTION 1
1.1 Background 1
1.2 Literature Review 2
1.3 Scope - Organization 6
CHAPTER II BIO-BASED SOIL IMPROVEMENT METHODS 7
2.1 Introduction 7
2.2 Biopolymer-based Soil Treatment (BPST) 9
2.2.1 Background 9
2.2.2 Mechanism of Strength Enhancement 9
2.3 Microbially-Induced Calcite Precipitation (MICP) 13
2.3.1 Background 13
2.3.2 Mechanism of Strength Enhancement 14
2.4 Enzyme-Induced Calcite Precipitation (EICP) 17
2.4.1 Background 17
2.4.2 Mechanism of Strength Enhancement 17
2.5 Summary and Conclusions 19
CHAPTER III DATABASE CONFIGURATION 20
3.1 Introduction 20
3.2 UCS Database Configuration 21
3.2.1 Retrieved Data from Literature 21
3.2.2 Unconfined Compressive Strength (UCS) 23
3.2.3 Parameters for UCS 23
3.3 Feature Selection 29
3.4 Data Preprocessing 34
3.5 Summary and Conclusions 35
CHAPTER IV METHODOLOGY AND MODELING 36
4.1 Introduction 36
4.2 Support Vector Regression 37
4.2.1 Concepts of Support Vector Regression 37
4.2.2 Evaluation Criteria 40
4.2.3 Modeling for UCS Prediction 41
4.3 Feature Importance 45
4.3.1 Permutation Feature Importance 45
4.3.2 Ranking of Feature Importance 46
4.4 Summary and Conclusions 47
CHAPTER V GEOTECHNICAL ENGINEERING IMPLEMENTATIONS 48
5.1 Introduction 48
5.2 Dominant Parameters of Strength Enhancement 49
5.2.1 The Most Dominant Variable: Water Content 49
5.2.2. The Second Dominant Variable: Soil Type 50
5.2.3 The Most Insignificant Variable: Curing Time 52
5.3 Applications of UCS Prediction Model 54
5.4 Summary and Conclusions 58
CHAPTER VI CONCLUSION AND RECOMMENDATIONS 60
6.1 Conclusion 60
6.2 Recommendations for Future Study 62
REFERENCES 63