Exploration of Experimental Validation Frameworks for Numerical Prediction of Degrading Structural Systems
Abstract
Exploration of Experimental Validation Frameworks for Numerical Prediction of Degrading Structural Systems. Ensuring structural systems can withstand environmental and battle loads over their lifespan iscentral to ensuring platform effectiveness. The U.S. Navy is charged with maintaining a variety of complex systems in aerospace, surface, and sub-surface applications. Of these, surface vessels and submarines have particular information challenges when it comes to degradation models. The scale and cost of such vessel prohibit the use of full-scale prototypes or mid-life destructive testing to ensure their structural system integrity. Thus complex digital models of such structuralsystems (digital twins) are commonly relied upon which must be periodically updated as the vessel ages. The exploration of the underlying principles and performance of such modeling strategies has been held back by a lack of experimental validation frameworks. Smallcomponent testing cannot replicate the complex interdependencies of the real-world structural systems. Equally, the scale, complexity, and security concerns around real-world vessels make them poorly suited to guide exploration in academic settings. This proposal will explore architectures for small-scale experimental test that can be used to simulate an interdependentaging structural system. Through-life digital model updating strategies will also be developed. A final experiment will be used to validate the updating strategies and assess the performance of the experimental testing architecture.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 30, 2016
- Source ID
- N000141612978
Entities
People
- Matthew Collette
Organizations
- Board of Regents of the University of Michigan
- Office of Naval Research
- United States Navy