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Health structure Monitoring of High Dam Movements

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zhraa ahmed

on 1 March 2014

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Transcript of Health structure Monitoring of High Dam Movements

Prepared by:
Eng. Yehia A. Qotb
The National Research Institute of Astronomy and Geophysics, Helwan
Contents
1- Abstract
2- Introduction
3- Statement of the problem
4- Main aims and outlines
5- Bibliography
Fig.1 the basic components of SHM
Supervised by:
Prof. Mostafa Rabah
The National Research Institute of Astronomy and Geophysics, Helwan
Dr.Mohammed Fathy
Structural Engineering Dep.; Faculty of Engineering; Assuit University, Assuit
Dr. Mosbeh R.Kaloop
Public Works Engineering Dep.; Faculty of Engineering; Mansoura University, Mansoura
Health structure Monitoring of High Dam Movements
Abstract
The structural health monitoring (SHM) is a recent field of research which appeared in the final decade of the last century which may be defined as “the use of in-situ, non destructive sensing and analysis of structural characteristics, including the structural response, for the purpose of identifying if damage has occurred, determining the location of damage, estimating the severity of damage and evaluating the consequences of damage on the structures”. This proposal aims to monitoring assessment of High Dam under different water level cases; in addition studying the damage detection modeling for the dam and designing a model can be predicted the behavior of High Dam.
Introduction

Monitoring of dams using Global positioning system (GPS), Geodetic and electro-mechanical sensors has long been proposed for complementing the current visual inspection program for condition assessment of dams.In order to investigate the global structural condition of dams in an automated, continuous, objective and quantitative manner.

Introduction (Cont.)
Structural health monitoring (SHM) may be identified in five principal issues in damage identification:
(1) Detection of damage,
(2) Localization of its probable location,
(3) Classification of the type of damage,
(4) Assessment of the extent of damage
(5) Prediction of the residual life of the structure.
Introduction(Cont.)
Structure of High Dam
The Aswan High Dam as shown in Fig. 2, is 3,830 metres long, 980 metres wide at the base, 40 metres wide at the crest and 111 metrestall. It contains 43,000,000 cubic metres of material. At maximum, 11,000 cubic metres per second of water can pass through the dam. There are further emergency spillways for an extra 5,000 cubic metres per second and the Toshka Canal links the reservoir to the Toshka Depression. The reservoir, named Lake Nasser, is 550 kilometreslong and 35 kilometres at its widest with a surface area of 5,250 square kilometres . It holds 132 cubic kilometres of water.
Fig.2 High Dam from space
Statement of the problem
We try in this proposal solution the following problems: -
(1)How to monitor the High dam under different water level effects with high accuracy measurements based on GPS and geodetic monitoring systems?
(2)How to model the movement of High dam using neural network and wavelet analysis based on SHM data GPS collections?
(3) What is the best model for the damage detection of dam based on GPS-SHM system and geodetic monitoring system?
(4)What is the best methodology can be used to improve the monitoring system errors and noises?

Main aims and outlines
This proposal aims to: monitoring assessment of High Dam under different water level cases; in addition studying the damage detection modeling for the dam and designing a model can be predicted the behavior of High Dam.

The outlines for this proposal are as follows:
(1) Stuyding the movements of High Dam.
(2) Analyzing the behavior of High Dam mostly depend on time domain and frequency domain.
Main aims and outlines(Cont.)
(3) Designing a finite element model (FE ) for the high dam to analyze the movement of structures in frequency domain and study the behavior static component of bridge based on different type loads.
(4) Comparison between the behavior of dam based on the model design and collection data for monitoring system.
(5)Using methods can be detect and remove the errors and noises from the monitoring data

Bibliography
[1] Y. Q. Ni, H. W. Xia; K. Y. Wong; and J. M. Ko, “In-Service Condition Assessment of Bridge Deck Using Long-Term Monitoring Data of Strain Response“, J. Bridge Eng. ASCE, 2012.17:876-885.
[2] F. Necati Catbas and A. Emin Aktan, “Condition and Damage Assessment: Issues and Some Promising Indices”, journal of structural engineering, ASCE, 2002.128:8(1026).
[3] Olivier L. Burdet, “Thermal Effects in the Long-Term Monitoring of Bridges” 34th international symposium on bridge and structural engineering, venice, 2010.
[4] Helder Sousaa, Carlos Sousaa, Afonso S. Nevesa, João Bentob, Joaquim Figueirasa, “Long-term monitoring and assessment of a precast continuous viaduct”, Structure and Infrastructure Engineering, 2013.52: 777–793.
Bibliography(Cont.)

[5] Bart Peeters and Guido De Roeck, “One-year monitoring of the Z24-Bridge: environmental effects versus damage events”, Earthquake Engng Struct. Dyn. 2001. 30:149-171.
[6] V. Meruane, W. Heylen, “Damage Assessment of a Bridge under Varying Environmental Conditions”, proceedings of ISMA2010 including USD2010, pp:1463- 1476.
[7] Rueger, J.M., “Overview of geodetic deformation measurements of dams”, ANCOLD 2006 conference, 2006.
[8] Mohamed R. Lasheen “The Distribution of Trace Metals in Aswan High Dam Reservoir and River Nile Ecosystems”, Chapter 15; lead, Mercury, Cadmium and Arsenic in the Environment, Edited by T. C. Hutchinson and K. M. Meema, Published by John Wiley & Sons Ltd
Bibliography(Cont.)
Full transcript