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العنوان
PREDICTION OF FIELD RESPONSE OF SOIL-SUPPORT
SYSTEMS IN DEEP EXCAVATIONS /
الناشر
MOHAMED EZZAT EZZAT,
المؤلف
EZZAT,MOHAMED EZZAT
الموضوع
Excavation
تاريخ النشر
2012.
عدد الصفحات
175 p.:
مكان الإجازة
اتحاد مكتبات الجامعات المصرية -
الفهرس
Only 14 pages are availabe for public view

from 313

from 313

Abstract

The task of predicting the performance of deep excavations is
challenging due to the existence of many influencing factors. Strength and
deformation parameters of soil, type, stiffness of the support system, and
sequence of excavation and installation of support elements are very
important factors in studying the performance. Performance of deep
excavation support systems is related to both stability and deformation.
Ground deformation around the excavations can damage surrounding
buildings, streets and utilities. Therefore understanding the factors affecting
the performance of deep excavations and the ability to predict the behavior of
the support system and the associated ground deformations is an important
issue for geotechnical engineers.
In this thesis, two case studies with well documented data of field
measurements are analyzed numerically. The analyses are performed using
the finite element program “PLAXIS-2D”. Two material soil models are
implemented in the analyses: the hardening soil model and Mohr Coulomb
model. In both case studies analyzed, good agreement between the field
measured displacements and the calculated displacement using the hardening
soil model is obtained. Results of analysis showed also that the hardening
soil model is superior to Mohr Coulomb model in predicting the displacements in both case studies.
After calibrating the numerical model, a parametric study is performed to investigate the effect of anchor-pretension-force on the resulting deformation for case study (A) and the effect of strut stiffness on the resulting deformation for case study (B). Results of analysis showed that both factors have important effects on the resulting excavation-support-
system deformation.