Abstract
An approach to developing a damage prognosis solution that integrates advanced sensing technology, data interrogation procedures for damage detection, novel model validation and uncertainty quantification techniques, and reliability-based decision-making algorithms is summarized in this article. In parallel, experimental efforts are underway to deliver a proof-of-principle technology demonstration by assessing impact damage and predicting the subsequent fatigue damage accumulation in a composite plate. This article provides an overview of the various technologies that are being integrated to address this damage prognosis problem.
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References
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Editor’s Note: Presentation of this paper is supported by the Air Force Research Laboratory, under agreement number F33615-01-D-5801. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the Air Force Research Laboratory or the U.S. Government.
For more information, contact Charles Farrar, Los Alamos National Laboratory, MST-006, Los Alamos, NM 87545; e-mail farrar@lanl.gov.
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Farrar, C., Hemez, F., Park, G. et al. Developing impact and fatigue damage prognosis solutions for composites. JOM 56, 40–42 (2004). https://doi.org/10.1007/s11837-004-0031-8
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DOI: https://doi.org/10.1007/s11837-004-0031-8