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2 Themes
Pages 3-9

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From page 3...
... recurred as a major topic throughout the workshop, and in many ways CBM provided a defining context for the perspectives on MSA offered by both presenters and audience participants. But other aspects of system life cycle management were also addressed, including system life prediction (SLP)
From page 4...
... and integrated computational structural engineering at the airframe level, particularly in the design phase of an aircraft structures development program. He stressed that what the materials science community does with MSA has direct and important impacts on directions in the
From page 5...
... Hemker discussed ways that multiscale modeling for MSA needs experimental input to improve the models themselves. He gave examples related to operative failure mechanisms, three-dimensional structures with salient resolution, and benchmarking of model results at relevant length scales.
From page 6...
... The question period after her presentation included several enlightening discussions with workshop participants on the interaction of atomic-scale models with the models used to capture properties and behaviors at larger scales and on the interplay between these multilevel models and experimental systems. THEME 3 -- FUTURE VISIONS FOR MSA, CBM, SLP, AND OTHER ASPECTS OF SYSTEM LIFE CYCLE MANAGEMENT The plural "visions" in this theme refers to the plurality of long-term views expressed by various workshop participants.
From page 7...
... THEME 4 -- CHALLENGES AND OPPORTUNITIES FOR MSA AND ITS APPLICATIONS IN SYSTEM LIFE CYCLE MANAGEMENT Mr. Lindgren contrasted the relative maturity of modeling for bulk metals in propulsion-system materials with the status of modeling for composite materials, where he does not yet see a unifying theory of failure progression from an initiating event emerging, despite a great deal of past and ongoing work.
From page 8...
... • Dr. Ball described the vision for ICME as developing both computational tools and experimental tools, then integrating these tools with information technologies, manufacturing-process simulations, and computer-based component design systems to develop and deliver optimized materials and manufacturing processes and to provide improved product performance at reduced time and cost.
From page 9...
... Themes 9 the workshop. He illustrated how more sophisticated statistical approaches to the fundamental issues in quantifying uncertainty in specimen mea surement data and in models for mechanical reliability can provide more realistic quantification of the uncertainties in service life estimates.


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