Structural Health Management for Future Aerospace Vehicles

Structural Health Management (SHM) will be of critical importance to provide the safety, reliability and affordability necessary for the future long duration space missions described in America's Vision for Space Exploration. Long duration missions to the Moon, Mars and beyond cannot be accomplished with the current paradigm of periodic, ground based structural integrity inspections. As evidenced by the Columbia tragedy, this approach is also inadequate for the current Shuttle fleet, thus leading to its initial implementation of on-board SHM sensing for impact detection as part of the return to flight effort. However, future space systems, to include both vehicles as well as structures such as habitation modules, will require an integrated array of onboard in-situ sensing systems. In addition, advanced data systems architectures will be necessary to communicate, store and process massive amounts of SHM data from large numbers of diverse sensors. Further, improved structural analysis and design algorithms will be necessary to incorporate SHM sensing into the design and construction of aerospace structures, as well as to fully utilize these sensing systems to provide both diagnosis and prognosis of structural integrity. Ultimately, structural integrity information will feed into an Integrated Vehicle Health Management (IVHM) system that will provide real-time knowledge of structural, propulsion, thermal protection and other critical systems for optimal vehicle management and mission control. This paper will provide an overview of NASA research and development in the area of SHM as well as to highlight areas of technology improvement necessary to meet these future mission requirements.

[1]  James S. Sirkis,et al.  An Overview of the Fiber Optic Sensing System for Hydrogen Leak Detection in the Space Shuttle Discovery on STS-96 , 1999 .

[2]  Buzz Wincheski,et al.  Carbon Nanotube Based Magnetic Tunnel Junctions for Electromagnetic Nondestructive Evaluation , 2002 .

[3]  A. N. Tikhonov,et al.  Solutions of ill-posed problems , 1977 .

[4]  Don C. Price,et al.  An Integrated Health Monitoring System for an Ageless Aerospace Vehicle , 2003 .

[5]  Thomas E. Munns,et al.  Health Monitoring for Airframe Structural Characterization , 2002 .

[6]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[7]  W. H. Prosser,et al.  Characterization of an extrinsic Fabry-Perot interferometric acoustic emission sensor , 2003 .

[8]  Jan L. Spangler,et al.  Inverse FEM for Full-Field Reconstruction of Elastic Deformations in Shear Deformable Plates and Shells , 2004 .

[9]  Ravi Mukkamala,et al.  Design and analysis of a scalable kernel for health management of aerospace structures , 2001, 20th DASC. 20th Digital Avionics Systems Conference (Cat. No.01CH37219).

[10]  W. Doggett,et al.  An architecture for real-time interpretation and visualization of structural sensor data in a laboratory environment , 2000, 19th DASC. 19th Digital Avionics Systems Conference. Proceedings (Cat. No.00CH37126).

[11]  Alexander Tessler,et al.  A Variational Principle for Reconstruction of Elastic Deformations in Shear Deformable Plates and Shells , 2003 .

[13]  Mikhail Prokopenko,et al.  Self-organising impact boundaries in ageless aerospace vehicles , 2003, AAMAS '03.

[14]  E Munns Thomas,et al.  Analysis of Regulatory Guidance for Health Monitoring , 2000 .

[15]  Renee M. Kent,et al.  Health Monitoring System Technology Assessments: Cost Benefits Analysis , 2000 .

[16]  Fu-Kuo Chang,et al.  Manufacturing of composite structures with a built-in network of piezoceramics , 1998 .

[17]  Buzz Wincheski,et al.  Effect of Alignment on Transport Properties of Carbon Nanotube/Metallic Junctions , 2003 .

[18]  Ravi Mukkamala Distributed scalable architectures for health monitoring of aerospace structures , 2000, 19th DASC. 19th Digital Avionics Systems Conference. Proceedings (Cat. No.00CH37126).

[19]  Martin W. McCall,et al.  Bragg Gratings, Photosensitivity, and Poling in Glass Waveguides , 1999 .

[20]  Warwick P. Bowen,et al.  Optical time-domain reflectometry in optical fiber with reflection delay time matched to the period of the optical frequency modulation. , 1998, Applied optics.

[21]  M. Froggatt,et al.  Distributed measurement of static strain in an optical fiber with multiple bragg gratings at nominally equal wavelengths. , 1998, Applied optics.

[22]  Stanley E. Woodard,et al.  L-C Measurement Acquisition Method for Aerospace Systems , 2003 .

[23]  M. Froggatt,et al.  High-spatial-resolution distributed strain measurement in optical fiber with rayleigh scatter. , 1998, Applied optics.

[24]  M. Froggatt,et al.  Distributed measurement of the complex modulation of a photoinduced Bragg grating in an optical fiber. , 1996, Applied optics.

[25]  John M. Gary,et al.  Reflections of AE Waves in Finite Plates: Finite Element Modeling and Experimental Measurements , 1999 .

[26]  S. G. Allison,et al.  Use of 3000 Bragg grating strain sensors distributed on four eight-meter optical fibers during static load tests of a composite structure , 2001 .

[27]  George S. Springer,et al.  Strain and Temperature Measurement with Fiber Optic Sensors , 1996 .

[28]  M. Gorman,et al.  Progress in Detecting Transverse Matrix Cracking Using Modal Acoustic Emission , 1998 .

[29]  T. Hughes,et al.  A three-node mindlin plate element with improved transverse shear , 1985 .

[30]  Mikhail Prokopenko,et al.  On connectivity of reconfigurable impact networks in ageless aerospace vehicles , 2005, Robotics Auton. Syst..