Document Type : Primary Research paper


Assistant Professor, Department of Civil Engineering Nehru Institute of Technology


Detection of damage in concrete gravity dams (CGDs) is one of the
challenges that need to be overcome since dam failure may lead to irreversible
consequences. This research aims to detect structural damage within CGDs by wavelet
analysis. From a structural point of view, stiffness is an important factor in the dynamic
behaviour of concrete gravity dam systems. Any sudden change in the stiffness leads to
alteration in the dynamic response of the structures. The proposed analysis of such a
condition will help to investigate the responses before and after the occurrence of any
structural damage. The main contributions of this paper are to detect the existence of any
damage in the dam structure and determine the damage location along the height of the
dam. In order to achieve these purposes, three finite element models of the Pine Flat,
Bluestone, and Folsom dams are chosen as case studies. These dams have been modelled
for both intact and damaged states, and their geometrical, physical, and mechanical
characteristics are defined by SAP2000 software. A series of modal analyses was
performed to determine the frequencies and shapes of the structural motions. After
reduction of the elasticity modulus by 20% and 50%, the Discrete Wavelet Transform
(DWT) was applied to the difference between the intact and damaged observations.
Then, the DWT outputs were analysed to get information about the existence of damage
as well as its location in the dam structure. Overall, from the obtained results, the main
finding of this study states that the location and severity of the structural damages have
been efficiently detected according to the significant amplitude variations in DWT


Volume 12, Issue 1
International virtual conference on Newer Trends and Innovation in Nanotechnology Materials Science . Science and Technology
March 2021
Pages 574-593