Application of the Strain Energy Damage Detection Method to Plate-Like Structures

Cornwell, Phillip; Doebling, Scott W.; Farrar, Charles R.

doi:10.1006/jsvi.1999.2163

Cited by 351 publications

(194 citation statements)

References 3 publications

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“…The ideal feature is one that is defined locally and changes only if damage appears at that specific location. To the best of our knowledge, for vibration based methods, two types of features have been identified and investigated in the past: curvature mode shapes ( [8], [9], [10] and [11]) and transmissibility functions.…”

Section: Introductionmentioning

confidence: 99%

Damage localization using transmissibility functions: A critical review

Chesné

Deraemaeker

2013

Mechanical Systems and Signal Processing

147

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Section: Introductionmentioning

confidence: 99%

Damage localization using transmissibility functions: A critical review

Chesné

Deraemaeker

2013

Mechanical Systems and Signal Processing

147

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“…al. in [16] for plate-lake structures. The method will be presented briefly here for the case of Timoshenko beam where the strain energy consists of two parts -due to bending and to shear.…”

Section: Modal Strain Energy Methodsmentioning

confidence: 99%

Vibration Based Methods For Damage Detection In Structures

et al. 2016

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Abstract. Vibration based damage detection methods are among the most popular and promising approaches for health monitoring of structures. In this work a critical review of different methods for damage detection methods of structures is presented. The theoretical bases of the most popular methods based on the changes in the modal properties of the structures are deduced. The review includes the modal displacements, the mode shape slopes, the modal curvatures and the strain energy methods. The efficiency of all these methods is compared by using a finite element analysis of intact and damaged beams. The methods are tested experimentally by using a scanning laser vibrometer to measure the modal properties of specially prepared composite beams with defects. All this methods are compared with the damage detection method based on the analysis of the Poincaré maps of the motion of the structures). Conclusions concerning the advantages and the applicability of the considered methods are deduced.

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“…The DIM was advanced by Cornwell et al [61] to allow the application to be extended to 2-Dimensional (2-D) bending structures and again by Duffey et al [62] for structures exhibiting axial and torsional responses, although these methods require many more sensors and deviate from the original curvature-flexural stiffness relationship (Equation (2)). …”

Section: Modal Strain Energymentioning

confidence: 99%

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

2017

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Abstract:Traditionally, damage identification techniques in bridges have focused on monitoring changes to modal-based Damage Sensitive Features (DSFs) due to their direct relationship with structural stiffness and their spatial information content. However, their progression to real-world applications has not been without its challenges and shortcomings, mainly stemming from: (1) environmental and operational variations; (2) inefficient utilization of machine learning algorithms for damage detection; and (3) a general over-reliance on modal-based DSFs alone. The present paper provides an in-depth review of the development of modal-based DSFs and a synopsis of the challenges they face. The paper then sets out to addresses the highlighted challenges in terms of published advancements and alternatives from recent literature.

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Application of the Strain Energy Damage Detection Method to Plate-Like Structures

Cited by 351 publications

References 3 publications

Damage localization using transmissibility functions: A critical review

Damage localization using transmissibility functions: A critical review

Vibration Based Methods For Damage Detection In Structures

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

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