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العنوان
Reliability Analysis of Retaining Structures /
المؤلف
Mourad, Mohamed Hamed Ahmed.
هيئة الاعداد
باحث / Mohamed Hamed Ahmed Mourad
مشرف / Mohamed Mossad El-Gendy
مشرف / Ehab Rashad Tolba
مشرف / Elsayed Galal Elghandour
مناقش / Hassan Mohamed Hassan
مناقش / Akram Soliman Elselmi
تاريخ النشر
2022.
عدد الصفحات
184 p. ;
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
Multidisciplinary تعددية التخصصات
تاريخ الإجازة
22/2/2022
مكان الإجازة
جامعة بورسعيد - كلية الهندسة ببورسعيد - Civil Engineering Department.
الفهرس
Only 14 pages are availabe for public view

from 184

from 184

Abstract

Uncertainties are unavoidable in geotechnical engineering design. Quantifying uncertainties and the related risks are very important in the overall design. For problems involving complex soil-structure interactions, using a fixed partial or global safety factor may lead to unrealistic failure or conservative design. The probabilistic analysis could be an ideal solution for quantifying the hidden conservatism in the ordinarily carried out semi-probabilistic calculations. The reliability analysis for complex structures requires a coupling between two models. A Finite Element Model (FEM) to evaluate the Limit State Function (LSF) and a reliability model to deal with the random variables and reliability methods. Since the coupling between FEM and reliability methods is considered a new field, there is a need to use a hybrid technique for coupling. In the present thesis, a developed technique for coupling between PLAXIS 2D v20 and Probabilistic tool-kit (PTK) is illustrated and checked throughout verification examples. The main goal is to present an “easy to use” reliability analysis technique using python scripts to identify the probability of failure, the reliability index, and the influence factors for different types of retaining structures situated in various locations in Egypt using the First order Reliability Method (FORM) and Directional Sampling (DS). Also, parametric studies are carried out to investigate the effect of varying the statistical data for the most significant soil parameters. The results show that the developed coupling technique has a good reliability analysis results compared with the previous studies and it can be used as guidelines to optimize the current design procedure for geotechnical structures.