S. Karim Baba Najad Mamaghani - M.Sc. Student, Construction Materials Institute CMI, University of Tehran
b Zahraie - Associate Professor, Sch. Civil Eng., College of Eng., University of Tehran
m Shekarchi - Associate Professor, Construction Materials Institute (CMI), University of Tehran
a Roozbahani - Ph.D. Candidate, Sch. Civil Eng., College of Eng., University of Tehran

The premature deterioration of Reinforced Concrete (RC) structures in harsh environmental conditions (such as high humidity and thermal variation) of the marine environment especially in Persian-Gulf region, leads to reduction of service life in these structures. Existence of numerous concrete structures in Persian-Gulf region, underlines the importance of comprehensive research on this subject. Failures in the repair process have been observed mainly due to insufficient repair experience, improper selection of repair materials and incorrect repair implementation on the structures. In repair of RC structures, to achieve the most proper repair mix design, numerous materials with different physical and mechanical characteristics should be selected. Inorder to achieve a suitable repair, it is essential that the physical, mechanical, chemical and electrochemical properties of the repair materials and substrate concrete match properly. In current paper, the selection of proper mix design has been performed using Composite Programming with hierarchical approach. Composite Programming is one of the popular Multi Criteria Decision Making (MCDM) methods which helps expertschoose the proper mix design. Moreover, due to the diversity in experimental results of tests, interval data instead of crisp data have been used to define the mechanical properties of concrete. Furthermore, to accomplish uncertainty analysis, the technique of Random Generation has been implemented on the final results.

Repair Concrete, Proper Mix Design, Multi Criteria Decision Making (MCDM), Uncertainty Analysis