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Open AccessJournal ArticleDOI

Inverse Analysis of Cracked Frame Structures by Genetic Algorithm.

Tadashi Horibe, +2 more
- 01 Jan 1999 - 
- Vol. 65, Iss: 637, pp 1962-1968
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TLDR
In this article, the authors proposed a crack identification method for plane frame structures by relating the eigenfrequencies to the crack location and depth, by combining both the transfer matrix method and the compatibility equation of each segment.
Abstract
A crack in a structural member can change the eigenfrequencies of the undamaged structure. The magnitude of change in the eigenfrequencies is a function of the depth and the location of the crack. By relating the eigenfrequencies to the crack location and depth, we proposed a crack identification method for plane frame structures in present paper. In the FEM vibration analysis for the structures, the crack is simulated by an equivalent rotational spring, connecting the two segments of the beam. The matrix elements containing a crack are derived explicitly by combining both the transfer matrix method and the compatibility equation of each segment. The eigenfrequencies computed by FEM are then applied to studying the inverse problem-identification of crack location from frequency measurements. And the crack identification method is performed by using both the finlte element method and the genetic algorithm. In order to confirm the validity of the proposed method, several frame structures with a crack are analyzed.

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Citations
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Journal ArticleDOI

Crack Identification of Plates Using Genetic Algorithm

TL;DR: In this article, a method for identifying a crack in a plate that uses a genetic algorithm (GA) based on changes in natural frequencies is presented, where the square sum of residuals between the measured data and the calculated data is minimized in the identification process and thus the crack is identified.
Journal ArticleDOI

Crack Identification in Beam Using Genetic Algorithm and Three Dimensional p-FEM

TL;DR: In this paper, a method for identification of a crack in a beam is demonstrated by the use of the genetic algorithm (GA) based on changes in natural frequencies, where the square sum of residuals between the measured data and the calculated data is minimized in the identification process and thus the crack is identified.
Journal ArticleDOI

Crack Identification in Plates Using Genetic Algorithm

TL;DR: In this article, a crack identification method for plates is presented using both a genetic algorithm (GA) and FEM program, which calculates the natural frequencies of the cracked plates based on the BFM (Bogner, Fox and Schmidt) plate model since the accuracy of the forward solver is important.
Book ChapterDOI

Crack Identification in a Timoshenko Beam from Frequency Change Using Genetic Algorithm

TL;DR: In this paper, the authors proposed a method for identifying the location and depth of a crack in a Timoshenko beam by means of a GA search technique based on changes in natural frequencies.
Book ChapterDOI

Crack Identification in Elastically Supported Beam by Genetic Algorithm

TL;DR: In this paper, the problem of crack identification in a beam when clamp rigidity is unknown was examined and a crack identification method was proposed based on the genetic algorithm (GA) and verified by numerical simulation.
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