Detection of Plural Cracks in an Infinite Plate by PSO Algorithm

We present a method for crack detection and stress intensity factor measurement in plate structures by using strain gauges and applying the dislocation method. The presented approach is based on the strain measured at different locations on the surface of the structure. This allows both the identification of crack position parameters, such as length, location and angles with respect to a reference coordinate system and the calculation of stress intensity factors (SIF). The method solving the direct problem is based on the idea of representing the crack by a line of point dislocations. The latter are formed by applying a constant displacement between adjacent points located at either side of the crack. Thus, the approach is based on the weighted superposition of elastic Greens functions representing the strain field due to the presence of a crack, where the weights are being identified by inverse problem solution. Since the strain fields are controlled by both external loads and the crack growth the unknown parameters are crack length, position and inclination as well as loading quantities. The particle swarm algorithm (PSO) came out to be most suitable for parameter identification in a high dimensional space.

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“…The solution of the inverse problem is carried out applying the PSO algorithm by minimizing a 9 :;<== function, defined as [5,6,7]:…”

Section: Solving the Inverse Problemmentioning

confidence: 99%

Monitoring Fatigue Cracks and Stress Intensity Factors Based on the Distributed Dislocation Technique

Boukellif

Ricoeur

2012

KEM

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“…The doublets as well as external loads are parameters which have to be determined solving the inverse problem by minimizing a fitness function, which is defined by a square sum of residuals between measured strain distributions and computed ones for an assumed crack [1]. The PSO algorithm applied to the fitness function operates on the basis of a swarm of candidate solutions [2,3]. Once knowing loading and crack parameters, the SIF can be determined.…”

Section: Introductionmentioning

confidence: 99%

Monitoring fatigue cracks and SIFs in plate structures solving inverse boundary value problems

Boukellif

Ricoeur

2011

Proc Appl Math and Mech

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In this work we present methods for the detection of cracks in plate and shell structures. In contrast to most of the common monitoring methods taking advantage of the reflection of surface waves at crack faces, the presented approach is based on the strain measured at different locations on the surface of the structure. This allows both the identification of crack position parameters, such as length, location and angles with respect to a reference coordinate system and the calculation of stress intensity factors (SIF). The solution of the direct problem is performed on the basis of the BFM (body force method) and the method of assembled point dislocations. The inverse problem is solved applying the PSO (particle swarm optimization) algorithm.

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Monitoring fatigue cracks and stress intensity factors based on local strains

Boukellif

Ricoeur

2012

Proc Appl Math and Mech

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A method for crack detection and stress intensity factor measurement in plate structures is presented by using strain gauges and applying the Body Force Method (BFM). The BFM is based on elastic solutions for concentrated loads and the principle of linear superposition allowing e.g. the calculation of the strain field in a cracked body. The inverse problem is solved applying the PSO (particle swarm optimization) and the unknown parameters are crack position, length and inclination as well as loading quantities. Experiments are carried out under cyclic loading using pre‐cracked plates made of aluminum alloy. (© 2012 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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Detection of Plural Cracks in an Infinite Plate by PSO Algorithm

Cited by 3 publications

References 6 publications

Monitoring Fatigue Cracks and Stress Intensity Factors Based on the Distributed Dislocation Technique

Monitoring Fatigue Cracks and Stress Intensity Factors Based on the Distributed Dislocation Technique

Monitoring fatigue cracks and SIFs in plate structures solving inverse boundary value problems

Monitoring fatigue cracks and stress intensity factors based on local strains

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