This Grant is a continuation of N000141410521.Stochastic inversion framework for monitoring evolving surface ship mass properties during arctic
Abstract
1.Study Arctic operational conditions and climatological data to gain sufficient physical insight to be able to eff ectively model salient meteorologicalconditions aff ecting ice accretion2. Study existing approaches to modeling ice accretion on surface combatanttopside structures in order that improvements in predictive mechanismsmight be uncovered3. Develop of computational infrastructure to predict accretion, furnish stochas-tic inversions of mass properties (as well as the modeling parameters de-scribing accretion severity), and quantify uncertainty within all of themodeling parameters4. Close the loop with respect to the infl uence of ice accretion on alteredmass properties, and their subsequent eff ects on seakeeping and stabilityof surface combatants, in order that operational envelopes may be adjusted
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2016
- Source ID
- N000141612369
Entities
People
- Christopher Earls
Organizations
- Cornell University
- Office of Naval Research
- United States Navy