Quantification of Extreme Event Statistics in Ship Design

Abstract

This thesis builds on previous work at the MIT Stochastic Analysis and Non-linear Dynamics (SAND) lab for the quantification of extreme events using wave groups. By separating the event probability from the physics models, we are able to capture rare events in ship motion and loading conditions for a modest computational cost. Improvements to the wave groups methodology ensured the slope and amplitude of the incident waves reflected the waves encountered in a given wave spectrum. The remaining discussion explores the value of a near-real-time risk analysis tools in reference to ship design and ship operations, with unique application to Navy and Commercial Vessels.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2019
Accession Number
AD1080506

Entities

People

  • Uditbhan S. Rathore

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Birds
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programs
  • Computers
  • Decision Support Systems
  • Department Of Defense
  • Engineering
  • Engineers
  • Environment
  • Information Science
  • Intact Stability
  • Marine Transportation
  • Maritime Industry
  • Mathematical Models
  • Monte Carlo Method
  • Naval Architecture
  • Navy
  • Nonlinear Dynamics
  • Ocean Waves
  • Reliability
  • Ship Design
  • Three Dimensional

Fields of Study

  • Physics

Readers

  • Coastal Oceanography
  • Computational Modeling and Simulation
  • Theoretical Analysis.