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Volumn , Issue , 2006, Pages 195-204

Identification of uniaxial tension tests of concrete based on machine learning technique

Author keywords

Automatic rules generation; Brittle matrix composites; Concrete databases processing; Machine Learning; Secondary flexure; Tensile strength; Uniaxial tension

Indexed keywords

CONCRETES; TENSILE STRENGTH; TENSILE TESTING;

EID: 84874745105     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (12)
  • 1
    • 0033993261 scopus 로고    scopus 로고
    • High-Strength concrete in uniaxial tension
    • Li, Q. & Ansari, R, High-Strength concrete in uniaxial tension, ACI Materials Journal 97(1), 49-57.
    • ACI Materials Journal , vol.97 , Issue.1 , pp. 49-57
    • Li, Q.1    Ansari, R.2
  • 2
    • 0004554243 scopus 로고    scopus 로고
    • Tensile cracking in concrete and sandstone, Part 2-Effect of boundary rotations
    • van Mier, J.GM. et al., Tensile cracking in concrete and sandstone, Part 2-Effect of boundary rotations, Materials and Structures 29, 1996, 87-96.
    • (1996) Materials and Structures , vol.29 , pp. 87-96
    • Van Mier, J.G.M.1
  • 3
    • 56349093176 scopus 로고    scopus 로고
    • Simulation study of secondary flexure versus fracture behavior of concrete under uniaxial tension loading
    • Woodhead Publ. Ltd. (Cambridge) and ZTUREK Research-Scientific Institute, Warsaw, October
    • th International Symposium on Brittle Matrix Composites BMC6, Woodhead Publ. Ltd. (Cambridge) and ZTUREK Research-Scientific Institute, Warsaw, October 2000, 371-378.
    • (2000) th International Symposium on Brittle Matrix Composites BMC6 , pp. 371-378
    • Akita, H.1
  • 5
    • 0042342744 scopus 로고    scopus 로고
    • A practical methods for uniaxial tension test of concrete
    • July
    • Akita H., Koide H., Tomon M., Sohn D., A practical methods for uniaxial tension test of concrete, Materials and structures, Vol. 36, July 2003, 365-371.
    • (2003) Materials and Structures , vol.36 , pp. 365-371
    • Akita, H.1    Koide, H.2    Tomon, M.3    Sohn, D.4
  • 6
    • 84874714520 scopus 로고    scopus 로고
    • Artificial intelligence in predicting properties of brittle matrix composites
    • Woodhead Publ. Ltd. (Cambridge) and ZTUREK Research-Scientific Institute, Warsaw, October
    • Kasperkiewicz J., Alterman D. Artificial intelligence in predicting properties of brittle matrix composites, 6' International Symposium on Brittle Matrix Composites BMC6, Woodhead Publ. Ltd. (Cambridge) and ZTUREK Research-Scientific Institute, Warsaw, October 2000, 485-496.
    • (2000) 6' International Symposium on Brittle Matrix Composites BMC6 , pp. 485-496
    • Kasperkiewicz, J.1    Alterman, D.2
  • 11
    • 84874678834 scopus 로고    scopus 로고
    • AQ19-Machine Learning programs
    • AQ19-Machine Learning programs, at http://www.mli.gmu.edu/mdirections. html.
  • 12
    • 84874752162 scopus 로고    scopus 로고
    • See5/C5.0-demonstration
    • See5/C5.0-demonstration, at http://www.rulequest.com/download.html.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.