Investigation of a Fiber Optic Strain Sensing (FOSS) Distributed Load Calibration Methodology

Metadata Updated: November 12, 2020

FOSS is a relatively newer technology that needs to be explored for application to load calibration and loads monitoring efforts. Load calibration opportunities are rare and typically expensive. MQ-9 wing testing in FLL provides a rare opportunity to advance the sate of the art in aircraft load calibrations. Instrument a MQ-9 wing with FOSS and conventional strain gages to measure wing shear, bending moment, torque and section properties along the span. Perform a loads calibration of the wing to determine load equations for measuring wing shear, bending moment, torque, and section properties along the span. Demonstrate through test the viability of developing a more cost effective and faster method of doing wing loads calibration using FOSS technology by comparing a FOSS load calibration test to the traditional technique using conventional strain gages. Utilize existing partnership with KSC Launch Services Program (LSP) to define technology infusion plan to effectively transition real-time flight loads monitoring techniques from aeronautics to space applications.

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Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Space Technology Mission Directorate
Unique Identifier Unknown
Identifier TECHPORT_91731
Data First Published 2016-09-01
Data Last Modified 2020-01-29
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Homepage URL
Program Code 026:027
Source Datajson Identifier True
Source Hash 51aff153504dfc1a18a11ce6c357806a298c9eea
Source Schema Version 1.1

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