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MECHANICAL CHARACTERISTICS PREDICTON ON POLIMER CONCRETE WITH SILICA FUME USING ARTIFICIAL NEURAL NETWORK

Lepadatu, Sen. Lect. . Daniel, Barbuta, . Marinela, Judele, Sen. Lect. . Loredana, Mitroi, . Stud. Raluca, Ilas, Andrei

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b62/s26.031View metrics

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Title
MECHANICAL CHARACTERISTICS PREDICTON ON POLIMER CONCRETE WITH SILICA FUME USING ARTIFICIAL NEURAL NETWORK
Authors
Lepadatu, Sen. Lect. . Daniel, Barbuta, . Marinela, Judele, Sen. Lect. . Loredana, Mitroi, . Stud. Raluca, Ilas, Andrei
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 14th SGEM GeoConference on NANO, BIO AND GREEN TECHNOLOGIES FOR A SUSTAINABLE FUTURE
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
978-619-7105-21-6
Language
en
Publication type
Conference Paper
References30

  1. Abdel-Fattah H. and M. M. El-Hawary, Flexural behavior of polymer concrete, Construction and Building Materials, vol. 13, no. 5, pp 253–262, 1999.

  2. Barbuta M., Nour D.S., C. Szalontay, Aderenta mortarelor polimerice la zidarie, Simpozionul national cu participare internationala „Probleme actuale privind conservarea si reabilitarea cladirilor cu valoare istorica” Iasi 18 mai 2007 Editura Societatii Academice „Matei-Teiu Botez” ISBN 978-9738955 -10-3, pp 49-54, 2007.

  3. Blaga A,. Beaudo in and J.J., Polymer Concrete - Canadian Building Digest, CBD 242, Ottawa, 1985. 14th SGEM GeoConference on Nano, Bio and Green – Technologies for a Sustainable Future

  4. Barbuta M, Diaconescu R.M, Harja M., Using neural network for prediction of proprieties of polymer concrete with fly ash, Journal of Materials in Civil Engineering, vol. 24, pp 523-528, 2012.

  5. Saribiyik, M., Piskin, A., and Saribiyik, A. “The effects of waste glass powder usage on polymer concrete properties” Construction and Building Material, vol. 47, pp 840 - 844, 2013.

  6. L in, C., Hong, Yu-J., and Huc, A. “Using a composite material containing waste tire powder and polypropylene fiber cut end to rec over spilled oil”. Waste Manage , vol. 30, pp 263–267, 2010.

  7. Reis, J.M.L., Effect of Textile Waste on the Mechanical Properties of Polymer Concrete. Material Research, 12, pp 63-67, 2009.

  8. Reis, J.M.L., "Fracture and flexural characterization of natural fiber-reinforced polymer concrete", Construction and Building Material, vol. 20(9) pp 673-678, 2006.

  9. Fowler D.W., Polymers in concrete: a vision for 21st century, Cement and Concrete Composite, vol. 21, pp 449-452, 1999.

  10. Marcia J Simon, Eria Slagergren, Kenneth A Snyder, Concrete mixture optimization using statistical mixture design method, Proceedings of International Symposium of Height Performance Concrete, New Orleans, Louisiana, October pp 20 - 22, 1997.

  11. Muthuk umar, M., and Mohan, D., Optimization of Mechanical Proprieties of Polymer Concrete & Mix Design Recommendation Based on Design of Experiments, Journal of applied Polymer Science, Vol. 94, pp 1107-1116, 2004.

  12. Alexandridis A., Triantis D., Stavrakas I., Stergiopoulos C., A neural network approach for compressive strength prediction in cement-based materials through the study of pressure-stimulated electrical signals, Construction and Building Material, vol. 30, pp 294– 300, 2012.

  13. Khan M. I., Predicting properties of High Performance Concrete containing composite cementitious materials using Artificial Neural Networks, Aut. Constr., vol. 22, pp 516– 524, 2012.

  14. Diaconescu R.M., Barbuta M., Harja M., Prediction of mechanical properties of polymer concrete with tyre rubber using neural networks, Materials Science and Engineering: B, vol. 178(19), pp 1259-1267, 2013.

  15. Lepadatu Daniel, Marinela Barbuta, Maria Harja and Ana-Raluca Rosu, (2013), Mechanical characteristic investigation of fibers reinforcered polymer concrete using artificial neural networks, Proceedings of The 13 th International Scientific Conference VSU’2013, Vol III, pp 102-108 , 2013.

  16. Abdel-Fattah H. and M. M. El-Hawary, Flexural behavior of polymer concrete, Construction and Building Materials, vol. 13, no. 5, pp 253–262, 1999.

  17. Barbuta M., Nour D.S., C. Szalontay, Aderenta mortarelor polimerice la zidarie, Simpozionul national cu participare internationala „Probleme actuale privind conservarea si reabilitarea cladirilor cu valoare istorica” Iasi 18 mai 2007 Editura Societatii Academice „Matei-Teiu Botez” ISBN 978-9738955 -10-3, pp 49-54, 2007.

  18. Blaga A,. Beaudo in and J.J., Polymer Concrete - Canadian Building Digest, CBD 242, Ottawa, 1985. 14th SGEM GeoConference on Nano, Bio and Green – Technologies for a Sustainable Future

  19. Barbuta M, Diaconescu R.M, Harja M., Using neural network for prediction of proprieties of polymer concrete with fly ash, Journal of Materials in Civil Engineering, vol. 24, pp 523-528, 2012.

  20. Saribiyik, M., Piskin, A., and Saribiyik, A. “The effects of waste glass powder usage on polymer concrete properties” Construction and Building Material, vol. 47, pp 840 - 844, 2013.

  21. L in, C., Hong, Yu-J., and Huc, A. “Using a composite material containing waste tire powder and polypropylene fiber cut end to rec over spilled oil”. Waste Manage , vol. 30, pp 263–267, 2010.

  22. Reis, J.M.L., Effect of Textile Waste on the Mechanical Properties of Polymer Concrete. Material Research, 12, pp 63-67, 2009.

  23. Reis, J.M.L., "Fracture and flexural characterization of natural fiber-reinforced polymer concrete", Construction and Building Material, vol. 20(9) pp 673-678, 2006.

  24. Fowler D.W., Polymers in concrete: a vision for 21st century, Cement and Concrete Composite, vol. 21, pp 449-452, 1999.

  25. Marcia J Simon, Eria Slagergren, Kenneth A Snyder, Concrete mixture optimization using statistical mixture design method, Proceedings of International Symposium of Height Performance Concrete, New Orleans, Louisiana, October pp 20 - 22, 1997.

  26. Muthuk umar, M., and Mohan, D., Optimization of Mechanical Proprieties of Polymer Concrete & Mix Design Recommendation Based on Design of Experiments, Journal of applied Polymer Science, Vol. 94, pp 1107-1116, 2004.

  27. Alexandridis A., Triantis D., Stavrakas I., Stergiopoulos C., A neural network approach for compressive strength prediction in cement-based materials through the study of pressure-stimulated electrical signals, Construction and Building Material, vol. 30, pp 294– 300, 2012.

  28. Khan M. I., Predicting properties of High Performance Concrete containing composite cementitious materials using Artificial Neural Networks, Aut. Constr., vol. 22, pp 516– 524, 2012.

  29. Diaconescu R.M., Barbuta M., Harja M., Prediction of mechanical properties of polymer concrete with tyre rubber using neural networks, Materials Science and Engineering: B, vol. 178(19), pp 1259-1267, 2013.

  30. Lepadatu Daniel, Marinela Barbuta, Maria Harja and Ana-Raluca Rosu, (2013), Mechanical characteristic investigation of fibers reinforcered polymer concrete using artificial neural networks, Proceedings of The 13 th International Scientific Conference VSU’2013, Vol III, pp 102-108 , 2013.

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