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E-grāmata: Applying Materials State Awareness to Condition-Based Maintenance and System Life Cycle Management: Summary of a Workshop

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  • Formāts: 132 pages
  • Izdošanas datums: 25-Apr-2016
  • Izdevniecība: National Academies Press
  • Valoda: eng
  • ISBN-13: 9780309379359
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Applying Materials State Awareness to Condition-Based Maintenance and System Life Cycle Management: Summary of a WorkshopPalielināt
  • Formāts: 132 pages
  • Izdošanas datums: 25-Apr-2016
  • Izdevniecība: National Academies Press
  • Valoda: eng
  • ISBN-13: 9780309379359
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In August 2014, the committee on Defense Materials Manufacturing and Infrastructure convened a workshop to discuss issues related to applying materials state awareness to condition-based maintenance and system life cycle management. The workshop was structured around three focal topics: (1) advances in metrology and experimental methods, (2) advances in physics-based models for assessment, and (3) advances in databases and diagnostic technologies. This report summarizes the discussions and presentations from this workshop.

Table of Contents



Front Matter 1 Overview 2 Themes 3 Presentations and Discussions References Appendixes Appendix A: Workshop Statement of Task Appendix B: Workshop Participants Appendix C: Workshop Agenda Appendix D: Abbreviations and Acronyms
1 Overview
1(2)
2 Themes
3(7)
Theme 1 What Is Materials State Awareness? What Should It Be?
4(1)
Theme 2 MSA Requires the Interplay of Modeling and Characterization-Detection Capabilities
5(1)
Theme 3 Future Visions for MSA, CBM, SLP, and Other Aspects of System Life Cycle Management
6(1)
Theme 4 Challenges and Opportunities for MSA and Its Applications in System Life Cycle Management
7(3)
3 Presentations And Discussions
10(96)
Context for This Workshop: The 2007 Workshop on Materials State Awareness
11(4)
The DOD/NRC Materials State Awareness Collaboration
11(4)
The State of the Art in Applied MSA
15(16)
Correlative Three-Dimensional Imaging Across Time and Length Scales
15(5)
Quantitative Nondestructive Evaluation and Structural Health Monitoring for State Awareness of Materials and Structures
20(5)
Predicting the Service Lives and Durability of Engineered Materials and Systems
25(6)
The Interplay of Material Structure Modeling and Experimentation
31(27)
Supporting the Development of Physics-Based Models: An Experimentalist's Perspective
31(6)
Physics-Based Mesoscale Modeling of Materials in Extreme Environments
37(7)
CBM+: A Smart Predictive Approach
44(4)
Advanced Approaches for Material Design and Discovery
48(10)
Challenges and Opportunities for MSA Applications
58(37)
Implications for Condition-Based Maintenance and Life Extension Decisions
58(5)
The Emerging Role of ICME and ICSE in Airframe Design Analysis
63(7)
Measurement of Material State Change and Physics-Based Prediction
70(5)
The Materials Genome Initiative, Data, Open Science, and NIST
75(5)
A New Statistical Method for Assuring Mechanical Reliability
80(7)
AFRL Perspective on Damage/Materials Characterization, CBM+, and Life Prediction
87(8)
Discussion Sessions on Crosscutting Topics and Issues
95(11)
Day 1 Closing Discussion: Implications of MSA for Qualification of New Materials, Processes, and Products
95(5)
Day 2 Closing Discussion: Implications of MSA for CBM and Life Extension Decisions
100(6)
References 106
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