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Virginia Tech

Naval Ship Preliminary Arrangements for Operability and Reduced Vulnerability

Abstract

dc:description.abstract

This thesis presents a process and tool that generates representative preliminary ship models and arrangements for use in vulnerability analysis in the Concept and Requirements Exploration (CandRE) process used at Virginia Tech. CandRE uses a Multi-Objective Genetic Optimization (MOGO) to explore the design space for non-dominated ship design solutions based on design effectiveness, risk, and cost. Vulnerability is assessed as part of the CandRE using a Preliminary Arrangements and Vulnerability (PAandV) model. Representative ship arrangements for specified combinations of ship system options are created based on operability needs, ship mission needs, and improved vulnerability. These are then analyzed for vulnerability and are used to calculate a representative Overall Measure of Vulnerability (OMOV) which is used to calculate the Overall Measure of Effectiveness (OMOE) in the MOGO.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Ocean Engineering
Department dc:contributor.department
Aerospace and Ocean Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Stevens, Andrew Patrick
Chair dc:contributor.committeechair
  • Brown, Alan J.
Committee members dc:contributor.committeemember
  • Sajdak, John Anthony
  • Neu, Wayne L.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:9132
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/82975

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Stevens, Andrew Patrick. Naval Ship Preliminary Arrangements for Operability and Reduced Vulnerability. masters thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/82975