Computational & Technology Resources
an online resource for computational,
engineering & technology publications
Civil-Comp Proceedings
ISSN 1759-3433
CCP: 12
ARTIFICIAL INTELLIGENCE AND CIVIL ENGINEERING
Edited by: B.H.V. Topping
Paper IV.5

Repairability Assessment of Damaged Foundations

F.C. Hadipriono and W.E. Wolfe

Department of Civil Engineering, Ohio State University, Columbus, Ohio, USA

Full Bibliographic Reference for this paper
F.C. Hadipriono, W.E. Wolfe, "Repairability Assessment of Damaged Foundations", in B.H.V. Topping, (Editor), "Artificial Intelligence and Civil Engineering", Civil-Comp Press, Edinburgh, UK, pp 137-141, 1991. doi:10.4203/ccp.12.4.5
Abstract
Repairability assessment of foundations is often performed by experts through the use of linguistic expressions. Despite the qualitative nature of these expressions, the Fuzzy Modus Ponens Deduction (FMPD) technique can be used to quantify the graphically solve foundation repairability problems. This technique can be used to partially match an evidence concerning failure mechanisms of damaged foundations to an established production rule. In this paper, the authors employed the newly developed angular fuzzy set models to assess the repairability of damaged foundations. An illustration is presented here.

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 £60 +P&P)