Table of Contents
Journal of Construction Engineering
Volume 2013 (2013), Article ID 380693, 8 pages
http://dx.doi.org/10.1155/2013/380693
Research Article

Estimating Strain Changes in Concrete during Curing Using Regression and Artificial Neural Network

1Department of Mining Engineering, Engineering Faculty, Science and Research Branch, Islamic Azad University, Toward Hesarak, End of Ashrafi Esfahani, Poonak Square, P.O. Box 14515/775 & 14155/4933, Tehran 1477893855, Iran
2Department of Geology, Science and Research Branch, Islamic Azad University, Toward Hesarak, End of Ashrafi Esfahani, Poonak Square, P.O. Box 14515/775 & 14155/4933, Tehran 1477893855, Iran

Received 14 December 2012; Revised 16 March 2013; Accepted 1 April 2013

Academic Editor: Anaclet Turatsinze

Copyright © 2013 Kaveh Ahangari et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Azenha, R. Faria, and D. Ferreira, “Identification of early-age concrete temperatures and strains: monitoring and numerical simulation,” Cement and Concrete Composites, vol. 31, no. 6, pp. 369–378, 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. M. Azenha, Behaviour of concrete at early ages. Phenomenology and thermo- mechanical analysis [M.S. thesis], Faculty of Engineering of the University of Porto, Porto, Portugal, 2004.
  3. R. Faria, M. Azenha, and J. A. Figueiras, “Modelling of concrete at early ages: application to an externally restrained slab,” Cement and Concrete Composites, vol. 28, no. 6, pp. 572–585, 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. E. E. Holt, “Early age autogenous shrinkage of concrete. Espoo 2001. Technical Research. Centre of Finland,” VTT Publications, no. 446, pp. 2–184, 2001. View at Google Scholar · View at Scopus
  5. O. M. Jensen and P. F. Hansen, “A dilatometer for measuring autogenous deformation in hardening portland cement paste,” Materials and Structures, vol. 28, no. 7, pp. 406–409, 1995. View at Publisher · View at Google Scholar · View at Scopus
  6. H. Justnes, A. van Gemert, F. Verboven, and E. J. Sellevold, “Total and external chemical shrinkage of low w/c ratio cement pastes,” Advances in Cement Research, vol. 8, no. 31, pp. 121–126, 1996. View at Google Scholar · View at Scopus
  7. T. A. Hammer, “Test methods for linear measurement of autogenous shrinkage before setting,” in Autogenous Shrinkage of Concrete, Ei-ichi Tazawa, Ed., pp. 143–154, E & FN Spon, London, UK, 1999. View at Google Scholar
  8. Geokon Incorporated, “Instruction manual model 4200/4202/4202/4210 vibrating wire strain gages, 1-2,” 2004. View at Google Scholar
  9. H. Weigler and S. Karl, Junger Beton, Beanspruchung-Festigkeit-Verformung, vol. 40, Betonwerk Fertigteil-Technik, Munich, Germany, 1974.
  10. D. W. Mokarem, R. M. Meyerson, and R. E. Weyers, “Development of concrete shrinkage performance specifications,” Final Contract Report 04-CR1, Virginia Transportation Research Council (VTRC), Charlottesville, Va, USA, 2003. View at Google Scholar
  11. B. Bissonnette, P. Pierre, and M. Pigeon, “Influence of key parameters on drying shrinkage of cementitious materials,” Cement and Concrete Research, vol. 29, no. 10, pp. 1655–1662, 1999. View at Google Scholar · View at Scopus
  12. Z. P. Bazant and W. P. Murphy, “Creep and shrinkage prediction model for analysis and design of concrete structures-model B3,” Materiaux et Constructions, vol. 28, no. 180, pp. 357–365, 1995. View at Google Scholar · View at Scopus
  13. ACI Committee 209, Prediction of Creep, Shrinkage and Temperature Effects in Concrete Structures, vol. SP-76, American Concrete Institute, Farmington Hills, Mich, USA, 1982.
  14. CEB-FIP, International Recommendations for the Design and Construction of Concrete Structures, Comite Europeen du beton-Federation International de la Precontrainte, Cement and Concrete Association, London, UK, 1970.
  15. CEB-FIP, Model Code for Concrete Structures (International System of Unified Standard Codes of Practice For Structures), Comite Euro-International du Beton, Lausanne, Switzerland, 1978.
  16. CEB-FIP, Model Code, Comite Euro-International du Beton, Lausanne, Switzerland; Thomas Telford Services, London, UK, 1990.
  17. N. J. Gardner and M. J. Lockman, “Design provisions for drying shrinkage and creep of normal-strength concrete,” ACI Materials Journal, vol. 98, no. 2, pp. 159–167, 2001. View at Google Scholar · View at Scopus
  18. K. Sakata, “Prediction of concrete creep and shrinkage. Creep and shrinkage of concrete,” in Proceedings of the 5th International RILEM Symposium, 1993.
  19. K. Eguchi and K. Teranishi, “Prediction equation of drying shrinkage of concrete based on composite model,” Cement and Concrete Research, vol. 35, no. 3, pp. 483–493, 2005. View at Publisher · View at Google Scholar · View at Scopus
  20. Z. M. Sbartai, S. Laurens, S. M. Elachachi, and C. Payan, “Concrete properties evaluation by statistical fusion of NDT techniques,” Construction and Building Materials, vol. 37, pp. 943–950, 2012. View at Publisher · View at Google Scholar
  21. W. Hansen, “Constitutive model for predicting ultimate drying shrinkage of concrete,” Journal of the American Ceramic Society, vol. 70, no. 5, pp. 329–332, 1987. View at Google Scholar · View at Scopus
  22. C. T. Leondes, Neural Network Systems Techniques and Applications: Algorithms and Architectures, Academic Press, New York, NY, USA, 1998.
  23. R. P. Lippmann, “An introduction to computing with neural nets,” IEEE ASSP Magazine, vol. 4, no. 2, pp. 4–22, 1987. View at Google Scholar · View at Scopus
  24. D. Sarkar, “Methods to speed up error back-propagation learning algorithm,” ACM Computing Surveys, vol. 27, no. 4, pp. 519–542, 1995. View at Publisher · View at Google Scholar
  25. F. Ozcan, C. D. Atis, O. Karahan, E. Uncuoglu, and H. Tanyildizi, “Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete,” Advances in Engineering Software, vol. 40, no. 9, pp. 856–863, 2009. View at Publisher · View at Google Scholar · View at Scopus
  26. H. Demuth and M. Beale, Neural Network Toolbox for Use with MATLAB, Handbook, 2002.
  27. Z. Dahou, Z. M. Sbartaï, A. Castel, and F. Ghomari, “Artificial neural network model for steel-concrete bond prediction,” Engineering Structures, vol. 31, no. 8, pp. 1724–1733, 2009. View at Publisher · View at Google Scholar · View at Scopus