Integration of Remote Sensing and Risk Analysis for Airframe Structural Integrity Assessment

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D. Cope J. Cronenberger K. Kozak K. Schrader L. Smith C. Thwing

Abstract

Southwest Research Institute (SwRI) investigated the feasibility of integrating remote sensing technology with probability of failure analyses into a monitoring system capable of assessing the structural integrity of critical airframe components. The project demonstrated the viability of remote sensing to discern structural flaw growth along with the integration of sensor data with crack growth analyses in order to assess the health and integrity of a critical structural component. The demonstration was performed on a complicated aircraft structural component that has limited accessibility with realistic loading. The technical approach employed for developing the structural health monitoring system included (1) detailed stress analyses of a critical structural component, (2) crack growth analyses to predict the structural component’s fatigue life, (3) a damage sensor system to monitor the structural components and capture degradation mechanisms during fatigue testing, (4) reasoning algorithms to integrate damage sensor data with crack growth analyses in order to assess the current structural health and integrity of the component, and (5) predictions of the component’s structural capability and remaining useful life on a periodic basis. Researchers used Bayesian principles to estimate flaw sizes based on both sensor readings and crack growth analyses, which were then used for periodic structural health and integrity assessments. Results validated how fatigue life predictions and probability of failure assessments can be improved with more accurate estimates of actual flaw sizes and continual structural health monitoring.

How to Cite

Cope, D. ., Cronenberger, J. ., Kozak, K. ., Schrader, K., Smith, L. ., & Thwing, C. . (2010). Integration of Remote Sensing and Risk Analysis for Airframe Structural Integrity Assessment. Annual Conference of the PHM Society, 2(1). https://doi.org/10.36001/phmconf.2010.v2i1.1868
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Keywords

damage detection, damage propagation model, materials damage prognostics, model based diagnostics, probability of failure, risk assessment, sensor validation, applications: aviation, Structural Integrity

References
(Aeronautics Science and Technology Subcommittee, 2007) Aeronautics Science and Technology Subcommittee, National Plan for Aeronautics Research and Development and Related Infrastructure, Committee on Technology, National Science and Technology Council, 2007.

(Burnside et al., 2007) H. Burnside, et al. T-38 Fuselage Structural Life Evaluation, Phase 4, T-38 Fuselage Life Evaluation, Final Report, SwRI Project No. 18.05808, 2007.

(Department of Defense, 2005) Department of Defense Standard Practice. Aircraft Structural Integrity Program (ASIP), MIL-STD-1530C (USAF), 2005.

(Derriso, 2008) M. Derriso. Effective State Awareness Information is Enabling for System Prognosis, Presentation at Workshop on Prognosis of Aircraft and Space Devices, Components, and Systems, 2008.

(Domyancic et al., 2009) L. Domyancic, et al. A Fast First-Order Method for Filtering Limit States, 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2009.

(Gallagher, 2007) J. Gallagher, et al. Demonstrating the Effectiveness of an Inspection System to Detect Cracks in Safety of Flight Structure, Presentation at 10th Joint DOD/NASA/FAA Conference on Aging Aircraft, 2007.

(Giurgiutiu, 2007) V. Giurgiutiu. Damage Assessment of Structures – an Air Force Office of Scientific Research Structural Mechanics Perspective, Key Engineering Materials, Vol. 347, pp 69-74, 2007.

(Hatcher, 2007) W. M. Hatcher. 21st Century Logistics: Reaching the Goal, Presentation at 10th Joint DOD/NASA/FAA Conference on Aging Aircraft, 2007.

(Hudak et al., 2006) S. J. Hudak, Jr, et al. Embedded Thin-Film Sensor for Crack Detection and Monitoring in Fracture Critical Turbine Engine Components, Proceedings of ASME Turbo Expo 2006, May 8-11, 2006.

(Hudak et al., 2007) S. Hudak, et al. Enabling Life Prediction, Sensing and Probabilistic Analysis Technologies for Enhanced Engine Health Management, Presentation at Integrated System Health Management Conference, 2007.

(Roach, 2007) D. Roach. Smart Aircraft Structures – A Future Necessity, Article in High Performance Composites, 2007.

(Smith et al., 2008) L. Smith, et al. Conditional Filtering for Simplification of Aircraft Structural System Reliability Calculation, 49th AIAA/ASME/ ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2008.

(Thwing et al., 2010) C. Thwing, et al. The Use of Magnetostrictive Sensor Technology for Structural Health Monitoring, Presentation at Aircraft Airworthiness and Sustainment Conference, 2010

(Wieland, 2005) D. Wieland. T-38 Longeron Splice Fine Mesh Model Integration, Final Report, SwRI Project No. 18.08674, 2005.

(Wieland et al., 2009) D. Wieland, et al. T-38 Aircraft Structural Integrity Program Serp Support Tasks: FY08, Durability and Damage Tolerance Analysis, Final Report, SwRI Project No. 18.12457, 2009.

(Wignall, 2007) W. Wignall, Col. “Executive Summary, Aircraft Accident Investigation, F-15C, T/N 80- 0034,” Lambert Field IAP, Missouri, 2007.
Section
Technical Papers