Optimal Realtime Damage Identification in Composite Structures, Phase I

Metadata Updated: November 12, 2020

Intelligent Fiber Optic Systems Corporation (IFOS) proposes to develop an effective real-time, in situ damage locating and growth monitoring system of composite structures by optimizing a smart, high-speed fiber Bragg grating (FBG) sensor and piezoelectric actuator placement strategy. A new damage identification technique is proposed from which damage in composites such as delamination and impact-related defects can be detected. The proposed technique utilizes the pitch-catch Lamb wave signals obtained from an FBG sensor and piezoelectric actuator network, without the need of baseline signals from the pristine condition.
The project goals include designing an ultra-high-speed/high resolution, small footprint FBG sensor and piezoelectric actuator network plus an FBG interrogator, constructing a system model, fabricating a test platform and developing signal processing algorithms to identify and measure Lamb wave signals in the presence of a quasi-static background strain field. The system model will demonstrate proof-of-principle, and the test results will provide proof-of-functionality of the proposed sensor system as a measurement method for damage identification in composite structures. The methodology proposed by IFOS includes using advanced signal processing algorithms. IFOS and its collaborators in this project will develop a Phase II plan that includes a development and integration strategy, potential demonstration opportunities, program schedule, and estimated costs.

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Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

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Harvested from NASA Data.json

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Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Space Technology Mission Directorate
Unique Identifier Unknown
Maintainer
Identifier TECHPORT_89820
Data First Published 2016-12-01
Data Last Modified 2020-01-29
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Homepage URL https://techport.nasa.gov/view/89820
Program Code 026:027
Source Datajson Identifier True
Source Hash 9638d915f90a3b8354e821da6a90bcbb7c38fd00
Source Schema Version 1.1

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