Structural damage identification by adding virtual masses

Authors:
Jilin Hou;Łukasz Jankowski;Jinping Ou
Affiliations:
School of Civil Engineering, Dalian University of Technology, Dalian, China 116024;Institute of Fundamental Technological Research (IPPT PAN), Polish Academy of Sciences, Warsaw, Poland 02-106;School of Civil Engineering, Dalian University of Technology, Dalian, China 116024 and School of Civil Engineering, Harbin Institute of Technology, Harbin, China 150090
Venue:
Structural and Multidisciplinary Optimization
Year:
2013

Citing 4
Cited 0

Virtual functions of the space-time finite element method in moving mass problems

Computers and Structures
Damage identification using modal, static and thermographic analysis with additional control parameters

Computers and Structures
Simultaneous identification of moving masses and structural damage

Structural and Multidisciplinary Optimization
Fast orthogonal search (FOS) versus fast Fourier transform (FFT) as spectral model estimations techniques applied for structural health monitoring (SHM)

Structural and Multidisciplinary Optimization

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a method for damage identification by adding virtual masses to the structure in order to increase its sensitivity to local damages. The main concept is based on the Virtual Distortion Method (VDM), which is a fast structural reanalysis method that employs virtual distortions or pseudo loads to simulate structural modifications. In this paper, the structure with an added virtual mass is called the virtual structure. First, the acceleration frequency response of the virtual structure is constructed numerically by the VDM using local dynamic data measured only by a single excitation sensor and a single acceleration sensor. Second, the value of the additional mass is determined via sensitivity analysis of the constructed frequency responses of the virtual structure with respect to damage parameters; only the natural frequencies with high sensitivity are selected. This process is repeated for all the considered placements of the virtual mass. At last, the selected natural frequencies of all the virtual structures are used together for damage identification of the real structure. A finite element (FE) model of a plane frame is used to introduce and verify the proposed method. The damage can be identified precisely and effectively even under simulated 5 % Gaussian noise pollution.