Development of an artificial neural network to predict the concrete deterioration due to chemical attack / Tamer Elsayed Ahmed Said ; Supervised Ahmed M. M. Ragab , Osama A. A. Hodhod , Mohamed Adel G. Elgammal

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Tamer Elsayed Ahmed Said

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Material type: Text

TextLanguage: English Publication details: Cairo : Tamer Elsayed Ahmed Said , 2014Description: 187 P. : facsimiles ; 30cmOther title:

استحداث شبكة عصبية اصطناعية للتنبؤ بتدهور الخرسانة نتيجة المهاجمة الكيميائية [Added title page title]

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Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Civil Engineering Summary: The main objectives of this research are to investigate experimentally the deterioration symptoms of north shore protection concrete blocks, and develop an artificial neural network able to predict concrete deterioration and simplify its use through developing a graphic user interface (GUI). Concrete deterioration is quantified by mechanical erosion of concrete, carbonation depth, and chloride and sulfate ingress profiles

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Item type	Current library	Home library	Call number	Copy number	Status	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.05.Ph.D.2014.Ta.D (Browse shelf(Opens below))		Not for loan	01010110063480000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.05.Ph.D.2014.Ta.D (Browse shelf(Opens below))	63480.CD	Not for loan	01020110063480000

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Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Civil Engineering

The main objectives of this research are to investigate experimentally the deterioration symptoms of north shore protection concrete blocks, and develop an artificial neural network able to predict concrete deterioration and simplify its use through developing a graphic user interface (GUI). Concrete deterioration is quantified by mechanical erosion of concrete, carbonation depth, and chloride and sulfate ingress profiles

Issued also as CD

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