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Computers and Concrete Volume 11, Number 4, April 2013 , pages 337-350 DOI: https://doi.org/10.12989/cac.2021.11.4.337 |
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cement paste; pore structure; MIP; nitrogen adsorption; computer model |
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J. Sobhani, M. Khanzadi and A.H. Movahedian
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| Abstract | ||
| The sensitivity of compressive strength of no-slump concrete to its ingredient materials and proportions, necessitate the use of robust models to guarantee both estimation and generalization features. It was known that the problem of compressive strength prediction owes high degree of complexity and uncertainty due to the variable nature of materials, workmanship quality, etc. Moreover, using the chemical and mineral additives, superimposes the problem | ||
| Key Words | ||
| no-slump concrete; compressive strength; prediction; support vector machine; neural networks; optimization | ||
| Address | ||
| J. Sobhani: Department of Concrete Technology; Road, Housing & Urban Development Research Center (BHRC), Pas Farhangian St, Sheikh Fazlollah Exp. Way, Tehran , P.O. Box 13145-1696, Iran M. Khanzadi, A.H. Movahedian: Department of Civil Engineering, Iran University of Science and Technology, Tehran, P.O. Box 16846-13114, Iran | ||