Optimal sensor placement for damage characterization using genetic algorithms

Cynthia Swann, Aditi Chattopadhyay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The optimal placement of sensors is a critical issue in detecting damage in laminated composite structures. The goal is to use a minimum number of sensors, placed at the right locations, so that the voltage signals received from the sensor set can be used to detect both presence and extent of damage. In this study, an optimization procedure is developed using Genetic Algorithm (GA) to determine the number and location of piezoelectric sensors for detection of seeded delaminations in composite plates. The analysis is based on a refined layerwise theory; capable of modeling ply level stresses, and the presence of seeded delaminations are modeled using Heaviside step functions. A two-way coupled electro-mechanical coupled field formulation is used to describe the induced strain. A damage index formulated using the difference in voltage signals, caused by the local changes in the strain induced by the presence of delamination, is used as the objective function. The results obtained from simulations are verified through numerical simulation as well as with experimental results obtained using customized piezoelectric sensors and a Laser Scanning Vibrometer. The optimum sensor pattern is capable of detecting discrete seeded delaminations in thick composite plates.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
Pages4718-4730
Number of pages13
Volume6
StatePublished - 2004
Externally publishedYes
EventCollect. of Pap. - 45th AIAA/ASME/ASCE/AHS/ASC Struct., Struct. Dyn. and Mater. Conf.; 12th AIAA/ASME/AHS Adapt. Struct. Conf.; 6th AIAA Non-Deterministic Approaches Forum; 5th AIAA Gossamer Spacecraft Forum - Palm Springs, CA, United States
Duration: Apr 19 2004Apr 22 2004

Other

OtherCollect. of Pap. - 45th AIAA/ASME/ASCE/AHS/ASC Struct., Struct. Dyn. and Mater. Conf.; 12th AIAA/ASME/AHS Adapt. Struct. Conf.; 6th AIAA Non-Deterministic Approaches Forum; 5th AIAA Gossamer Spacecraft Forum
CountryUnited States
CityPalm Springs, CA
Period4/19/044/22/04

Fingerprint

Genetic algorithms
Delamination
Sensors
Composite materials
Laminated composites
Electric potential
Composite structures
Scanning
Lasers
Computer simulation

ASJC Scopus subject areas

  • Architecture

Cite this

Swann, C., & Chattopadhyay, A. (2004). Optimal sensor placement for damage characterization using genetic algorithms. In Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference (Vol. 6, pp. 4718-4730)

Optimal sensor placement for damage characterization using genetic algorithms. / Swann, Cynthia; Chattopadhyay, Aditi.

Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. Vol. 6 2004. p. 4718-4730.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Swann, C & Chattopadhyay, A 2004, Optimal sensor placement for damage characterization using genetic algorithms. in Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. vol. 6, pp. 4718-4730, Collect. of Pap. - 45th AIAA/ASME/ASCE/AHS/ASC Struct., Struct. Dyn. and Mater. Conf.; 12th AIAA/ASME/AHS Adapt. Struct. Conf.; 6th AIAA Non-Deterministic Approaches Forum; 5th AIAA Gossamer Spacecraft Forum, Palm Springs, CA, United States, 4/19/04.
Swann C, Chattopadhyay A. Optimal sensor placement for damage characterization using genetic algorithms. In Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. Vol. 6. 2004. p. 4718-4730
Swann, Cynthia ; Chattopadhyay, Aditi. / Optimal sensor placement for damage characterization using genetic algorithms. Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. Vol. 6 2004. pp. 4718-4730
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