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Quantify shape, angularity and surface texture of aggregates using image analysis and study their effect on performance
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There is a consensus among researchers that the aggregate shape properties affect performance, but a debate has risen over the suitability of these physical tests to quantify the related shape property. Most of these current physical tests are indirect methods of measuring the shape property of aggregates. Also some of the current physical test methods are laborious and time consuming, and there is a need for better methods, which are accurate and rapid in measuring the aggregate shape properties. Recent improvements in acquisition of digital images and their analysis provide unique opportunities for describing shape and texture of particles in an automated fashion. Two independent systems are presented for capturing angularity and texture images and are analyzed with the help of the aggregate imaging system "AIMS". The aim is to measure surface properties of both coarse and fine aggregates and relate these properties to performance. In addition, AIMS shape analysis results are compared to other physical tests. ACKNOWLEDGMENTS I would like to extend my sincere appreciation to everyone who helped me during the course of my graduate studies. Thanks to my graduate committee chairman, Dr. Dallas Little, for his guidance, support and encouragement, and for giving me the opportunity to be involved in this research project. I also wish to express my sincere thanks to the other members of my graduate committee, Dr. Robert Lytton, Dr. Eyad Masad and Willa Chen for providing me with their assistance and advice. Thanks to Keyur Shah and Elango for their help and attitude in completing a large laboratory test program. I also would like to thank Rick Canatella, Lee Gustavus, Tommy Smith, Mukesh Masand and Arif Chowdhury for sharing their experience and knowledge. My sincere gratitude goes out to all the professors for their teachings, academic advice, and patience. I also wish to express my sincere thanks to Jyot Parmar, a friend for his helpful advice, positive comments, and unconditional support. Finally, an especial "ThankYou" to my Grand Father, Late Dr Murlidhar Sukhwani and my family to pursue higher education.
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Includes bibliographical references (leaves 94-96).
Issued also on microfiche from Lange Micrographics.
Sukhwani, Rajni (2003). Quantify shape, angularity and surface texture of aggregates using image analysis and study their effect on performance. Master's thesis, Texas A&M University. Available electronically from
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