Keywords: fuzzy logic, reinforced concrete, soft computing, uncertainty, prediction.

Reinforced concrete structures, provide many advantages, compared with other materials such as steel that have led to the widespread use of these materials. Beams, columns and shear walls in reinforced concrete structures are the main structural members and much research using scientific methods to improve the performance of these members has been done. Fuzzy logic theory is a subset of soft computing algorithms. Unlike hard computing approaches that are based on the exact solution, it is tolerant of imprecision, uncertainty, partial truth, and approximation. By accelerating the solving procedure, fuzzy logic theory offers an advantageous tool for solving complicated problems. The concept of fuzzy logic is based on approximation, and therefore it can handle sophisticated problems more accurately and so results in more reliable answers can be obtained which guarantee its application in different fields. In this paper, application of this theory to solving and simplification of some reinforced concrete structural problems such as strength prediction of concrete, optimizing the fibre reinforced concrete retrofit of columns, shear strength prediction of fibre reinforced polymer strengthened reinforced concrete beams, finding the optimal concrete mix design and the strength prediction of concrete according to concrete mix design is investigated.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £50 +P&P)