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Design optimization of structural concrete beams using genetic algorithms
العناوين الأخرى
التصميم الأفضل للكمرات الخرسانية الإنشائية باستخدام طريقة الخوارزميات الجينية.
مقدم أطروحة جامعية
مشرف أطروحة جامعية
al-Qidrah, Mamun Abd al-Hamid
Arafa, Muhammad
الجامعة
الجامعة الإسلامية
الكلية
كلية الهندسة
القسم الأكاديمي
قسم الهندسة المدنية
دولة الجامعة
فلسطين (قطاع غزة)
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2007
الملخص الإنجليزي
In this research, the design optimization of structural concrete beams using Genetic Algorithm (GA) technique is presented.
The optimization techniques in general enable designers to find the best design for the structure under consideration.
The best design of a structure means the most economic structure without impairing the functional purposes the structure is supposed to serve. Genetic algorithms (GA) belong to the family of evolutionary algorithms (EA).
GA is an iterative procedure that is motivated by the ‘survival of the fittest’ principle of Darwinian Theory of natural evolution. Two types of structural beams are studied, namely : simple reinforced concrete beams and simple prestressed concrete beams.
These beams are designed according to the requirements of the ACI 318-05 code.
The cost function comprises the cost of concrete and the cost of reinforcement. Two computer models have been developed for the structural design optimization of reinforced and prestressed concrete simple beams using MATLAB software.
The results of these optimization models were compared with the results of another classical optimization models.
The classical optimization models were developed based on EXCEL software spreadsheets which use the generalized reduced gradient (GRG) classical optimization method. In order to validate the developed GA models for both the RC and the PC cases, two numerical examples were applied and the results are studied A comparison study between one of the classical optimization techniques, namely the GRG and one of the heuristic techniques, namely the GA was carried out in this research. This comparison showed the superiority of the GA technique over the classical GRG technique with regard to our numerical examples.
التخصصات الرئيسية
الموضوعات
عدد الصفحات
96
قائمة المحتويات
Abstract.
Table of contents.
Chapter one : introduction.
Chapter two : optimization techniques.
Chapter three : optimization of RC structures.
Chapter four : structural design of beams.
Chapter five : design optimization problem formulation.
Chapter six : genetic algorithms.
Chapter seven : parametric study and analysis of results.
Chapter eight : conclusions and recommendations
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ismail, Muhammad Abd Allah. (2007). Design optimization of structural concrete beams using genetic algorithms. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-300371
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ismail, Muhammad Abd Allah. Design optimization of structural concrete beams using genetic algorithms. (Master's theses Theses and Dissertations Master). Islamic University. (2007).
https://search.emarefa.net/detail/BIM-300371
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ismail, Muhammad Abd Allah. (2007). Design optimization of structural concrete beams using genetic algorithms. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-300371
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-300371
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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