CONTENTS
ACKNOWLEDGEMENTS 5
ABSTRACT 7
LIST OF FIGURES iii
LIST OF TABLES iv
ABBREVATIONS v
1. INTRODUCTION 1
1.1. Digital Image Processing 1
1.2. Workability of mortar 1
1.3. Need for Study 2
1.4. Objective 3
1.5. Scope 3
1.6. Research Methodology 3
1.7. Thesis Layout 4
2. LITERATURE REVIEW 5
2.1. Digital Image Processing to measure the shape characteristics of aggregate. 5
2.2. Rheology of cement mortar and its impact on workability. 10
3. EXPERIMENT PROGRAMME 14
3.1. EXPERIMENTAL MATERIALS 14
3.1.1. Cement testing 14
3.1.2. Fine Aggregate Testing 15
3.2. Experimental Programme flowchart 17
3.2.1. Digital Image Processing 17
3.2.2. Workability of mortar 18
3.3. Pilot Study 19
3.3.1. Digital Image Processing 20
3.3.2. Workability of mortar 22
4. DATA COLLECTION 23
4.1. Experiment Procedure 23
4.1.1. Digital Image Processing 23
4.1.2. Workability of mortar. 26
5. TEST RESULTS, DISCUSSION AND ANALYSIS 29
5.1. Digital Image Processing 29
5.2. Workability 32
5.3. Model 33
5.4. Validation 35
5.4.1. Illustration-1: Validation with the obtained Data 36
5.4.2. Illustration-2: Validation by preparing different mix 37
6. CONCLUSION AND FUTURE SCOPE 38
6.1. Conclusion 38
6.2. Future Scope of Study 40
LIST OF STANDARDS USED 40
REFERENCES 42
ANNEXURE-1 : FIGURES/CHARTS 47
1.1. Quarry SandFlow Data (GS-MS) 47
1.2. Natural Sand Flow Data (GS-NS) 48
1.3. Manufactured Zonal Sand Flow Data (ZS-MS) 49
1.4. Natural Zonal Sand Flow Data (ZS-NS) 49
ANNEXURE-2 : DATA TABLES 50
1.5. Test Results of mini flow table test for Graded Sand and Zonal Sand 50
1.6. Data Table for Digital Image Processing for Quarry Sand and Natural Sand 54
1.7. Comparison between shape parametrs with void ratio 55
1.8. Validation – Error Check Actual Vs Formula 57