Image analysis applications on assessing static stability and flowability of self-consolidating concrete |
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| Affiliation: | 1. National Concrete Pavement Technology Center, Iowa State University, 136 Town Engineering, Ames, IA 50011, United States;2. Department of Civil, Construction and Environmental Engineering, Iowa State University, 492 Town Engineering, Ames, IA 50011, United States;3. Institute of Building Materials, Department of Civil Engineering, Tsinghua University, Beijing 100084, China;4. National Concrete Pavement Technology Center, Iowa State University, Ames, IA 50011, United States;1. Key Laboratory of Special Area Highway Engineering, Ministry of Education, Xi’an 710064, China;2. School of Highway, Chang’an University, Xi’an 710064, China;3. International Joint Laboratory for Sustainable Development of Highway Infrastructures in Special Regions, Xi''an 710064, China;1. Laboratoire IUSTI UMR 7343, Polytech’Marseille, AMU, France;2. Laboratoire Génie civil, Faculté des sciences et techniques de Tanger, Morocco;1. Mechanical and Civil Engineering Laboratory, FSTT, Abdelmalek Essaâdi University, Tangier, Morocco;2. Structure and Materials Laboratory, National school of Architecture, Rabat, Morocco;3. IUSTI UMR 7343 Laboratory, Polytech Marseille, AMU, France |
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| Abstract: | A digital image processing (DIP) method associated with a MATLAB algorithm is used to evaluate cross sectional images of self-consolidating concrete (SCC). Two new parameters, such as inter-particle spacing of coarse aggregate and average mortar-to-coarse aggregate ratio, defined as average mortar thickness index (MTI), were proposed to quantitatively evaluate the static stability of SCC. Statistical models were developed to predict flowability of SCC mixtures. Test results revealed that the proposed DIP method and MATLAB algorithm can be successfully used to derive inter-particle spacing and MTI and quantitatively evaluate the static stability on hardened SCC samples. A probability density of 60% from histogram analysis appears to be a reasonable threshold for indicating a uniformly distributed SCC mixture. For a given mortar yield stress, a critical mortar viscosity of 1.30 Pa s tends to significantly affect the trend of slump flow changing with MTI. The investigated relationship between parameters measured from DIP method and existing theoretical frames is well correlated. The outcome of this study can be of practical value for providing an efficient and useful tool in designing mixture proportions of SCC. |
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| Keywords: | Digital image analysis Self-consolidating concrete Rheology Static stability Flowability Statistical model and analysis |
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