Search In this Thesis
   Search In this Thesis  
العنوان
Applications of Structural Health Monitoring in Modern Bridges/
المؤلف
Elbaz, Abdelrahman Khaled Abdelrahman.
هيئة الاعداد
باحث / عبدالرحمن خالد عبدالرحمن الباز
مشرف / عمر على موسى النواوي
مشرف / هشام محمد مرزوق
مشرف / خالد محمد محمد حيز ه
تاريخ النشر
2023.
عدد الصفحات
258p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة المدنية والإنشائية
تاريخ الإجازة
1/1/2023
مكان الإجازة
جامعة عين شمس - كلية التمريض - الهندسة الانشائية
الفهرس
Only 14 pages are availabe for public view

from 258

from 258

Abstract

This research presents an experimental investigation and finite element (FE) model using eight RC beams to determine the feasibility of using wireless sensor technique of RC beams under static cyclic loading to evaluate their ductility and energy dissipation. In this respect, it is intended to experimentally evaluate the effect of making damage at experimental beams. The defective parameters taken into consideration in the experimental program were crack depth at bottom middle span, gap in the concrete mold and partially unbonded steel at the middle bottom reinforcement. The wireless structural health monitoring (SHM) system developed in this study using Resensys SenSpotTM Sensors.
All tested specimens had the same cross-sectional dimensions. The concrete dimensions of the beams were 200 mm wide and 300 mm high, and the beam’s length was selected to be 2000 mm, they were tested in flexure bending using a 3-point bending load system. The tested eight specimens were equipped with a wireless sensor, strain gauges, LVDTs. The tested beams were also utilized in determining the validity of using wireless sensors to evaluate the effect of damage location. According to the results, when (RC) beams were subjected to any of the mentioned types of damage, they showed a significant decrease in ultimate capacities ranging from 3.03% to 19.31%. An analytical model using the nonlinear package “ANSYS 2021 R2” shows an average difference with the experimental program and wireless sensors results within 8 % as acceptable agreement.
Keywords: Structural Health Monitoring; Wireless Sensors; Cyclic loading; Damage Detection; Ductility; ANSYS