Paper
10 May 2012 Development of an in-situ wireless strain monitoring system and its integration with FEA SHM simulation models
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Abstract
The paper proposes the development and verification of a hardware and software tool that will be able to evaluate and optimize sensorized aerospace structures is proposed. The tool will be extension of an existing suite of structural health monitoring (SHM) and diagnostic prognostic system (DPS). The goal of the extended SHM-DPS is to apply multi-scale nonlinear physics-based finite element analyses to the "as-is" structural configuration to determine residual strength, remaining service life, and future inspection intervals and procedures. Information from a distributed system of sensors will be used to determine the "as-is' state of the structure versus the "as-designed" target. The proposed approach will enable active monitoring of aerospace structural component performance and realization of DPS-based maintenance. Software enhancements will incorporate information from a sensor system that is distributed over an aerospace structural component. In the case of the proposed project, the component will be a stiffened composite fuselage panel. Two stiffened panels is instrumented with wireless sensors; the second with an optimized sensor network. It is shown that the sensor system output will be routed and integrated into a nonlinear multi-scale physics-based finite element analysis (FEA) tool to determine the panel's residual strength, remaining service life, and future inspection interval. The FEA will utilize the GENOA progressive failure analysis software suite, which is applicable to metallic and advanced composites.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
K. Nikbin and F. Abdi "Development of an in-situ wireless strain monitoring system and its integration with FEA SHM simulation models", Proc. SPIE 8368, Photonic Applications for Aerospace, Transportation, and Harsh Environment III, 83680I (10 May 2012); https://doi.org/10.1117/12.919829
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Cited by 1 scholarly publication.
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KEYWORDS
Composites

Sensors

Finite element methods

Failure analysis

Structural health monitoring

Double positive medium

Diagnostics

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