School
School of Sciences and Engineering
Department
Construction Engineering Department
Degree Name
MS in Construction Engineering
Date of Award
2-1-2007
Online Submission Date
1-1-2006
Document Type
Thesis
Extent
128 leaves :
Library of Congress Subject Heading 1
Reinforced concrete
Rights
The author retains all rights with regard to copyright.
The American University in Cairo grants authors of theses and dissertations a maximum embargo period of two years from the date of submission, upon request. After the embargo elapses, these documents are made available publicly. If you are the author of this thesis or dissertation, and would like to request an exceptional extension of the embargo period, please write to thesisadmin@aucegypt.edu.
Recommended Citation
APA Citation
Fayez, Y. I.
(2007).Using neural networks for the diagnosis and repair of corroded steel in reinforced concrete structures [Thesis, the American University in Cairo]. AUC Knowledge Fountain.
https://fount.aucegypt.edu/retro_etds/2036
MLA Citation
Fayez, Youssef Ibrahim. Using neural networks for the diagnosis and repair of corroded steel in reinforced concrete structures. 2007. American University in Cairo, Thesis. AUC Knowledge Fountain.
https://fount.aucegypt.edu/retro_etds/2036
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Call Number
Thesis 2006/96
Location
mgfth