This paper investigates the problem of identifying the location, size and orientation of cracks in structures using an array of strain measurements. It presents statistical identification methods and computational tools that are required to identify cracks from strain measurements. It also addresses the experimental design problem related to finding the optimal location, orientation, number and density of sensors for reliable crack detection, along with the computational difficulties involved. The effectiveness of the proposed methodologies is illustrated using simulated data from a single crack in a plate subjected to static loading
In this work, a model of the Euler–Bernoulli beam in presence of multiple‐concentrated open cracks, ...
In this paper, system identification is coupled with optimization-based damage detection to provide ...
This article outlines a statistical damage detection engine for the automated characterization of di...
A Bayesian system identification methodology is presented for estimating the crack location, size an...
Abstract A previous study has shown that the mode shapes of a beam are more sensitive to damage than...
Several advances in the structural health monitoring field and in crack identification techniques we...
Structural health monitoring has been an active area of research over the last half-century. During ...
AbstractA method for the detection of cracks in plate structures is presented. In contrast to most o...
AbstractThis paper deals with the identification of a single crack in a beam based on the knowledge ...
AbstractThis paper reports the development of a crack detection method to identify cracks on thin pl...
An algorithm for detecting cracks on the beams and a statistical process for minimising the measurem...
Cracks in structural components may ultimately lead to failure of the structure if not identified su...
A method for prediction of location and size of multiple cracks based on measurement of natural freq...
In this paper, natural frequency based forward and inverse methods are proposed for identifying mult...
A method is presented for the detection and monitoring of structural cracks, based on measurements o...
In this work, a model of the Euler–Bernoulli beam in presence of multiple‐concentrated open cracks, ...
In this paper, system identification is coupled with optimization-based damage detection to provide ...
This article outlines a statistical damage detection engine for the automated characterization of di...
A Bayesian system identification methodology is presented for estimating the crack location, size an...
Abstract A previous study has shown that the mode shapes of a beam are more sensitive to damage than...
Several advances in the structural health monitoring field and in crack identification techniques we...
Structural health monitoring has been an active area of research over the last half-century. During ...
AbstractA method for the detection of cracks in plate structures is presented. In contrast to most o...
AbstractThis paper deals with the identification of a single crack in a beam based on the knowledge ...
AbstractThis paper reports the development of a crack detection method to identify cracks on thin pl...
An algorithm for detecting cracks on the beams and a statistical process for minimising the measurem...
Cracks in structural components may ultimately lead to failure of the structure if not identified su...
A method for prediction of location and size of multiple cracks based on measurement of natural freq...
In this paper, natural frequency based forward and inverse methods are proposed for identifying mult...
A method is presented for the detection and monitoring of structural cracks, based on measurements o...
In this work, a model of the Euler–Bernoulli beam in presence of multiple‐concentrated open cracks, ...
In this paper, system identification is coupled with optimization-based damage detection to provide ...
This article outlines a statistical damage detection engine for the automated characterization of di...