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dc.contributor.advisorSega, Ron
dc.contributor.authorCreary, Andron Kirk
dc.contributor.committeememberReisfeld, Brad
dc.contributor.committeememberYoung, Peter
dc.contributor.committeememberBradley, Thomas
dc.date.accessioned2019-06-14T17:06:58Z
dc.date.available2019-06-14T17:06:58Z
dc.date.issued2019
dc.description2019 Spring.
dc.descriptionIncludes bibliographical references.
dc.description.abstractIn this dissertation, we illustrate the use of the systems engineering casualty analysis simulation (SE-CAS). SE-CAS, inspired by the Army's need to detect, identify and operate in areas contaminated by Chemical Warfare Agent (CWA), is a framework for creating chemical warfare simulations. As opposed to existing simulations which emulate simple cause-and-effect relationships, SE-CAS is developed using a systems thinking approach to dynamically represent interconnected elements during weaponized release of CWA. Through use of monte-carlo simulation methods, integrated dynamic analytic models, and NASA WorldWind® global display, SE-CAS provides the capability to visualize areas of chemical warfare agent dispersion, symptomology and exposure effects, and prescription of optimal survival factors within a common constructive environment. Supported by Colorado State University's Walter Scott Jr. School of Engineering and industry affiliates, SE-CAS is part of a larger research & development effort to expand industry modeling, simulation and analysis capabilities within Chemical, Biological, Radiological, Nuclear and Explosives (CBRN-E) discipline. SE-CAS is an open, parameterized simulation allowing the user to set initial conditions, simulation mode, parameters, and randomized inputs through a scenario editor. Inputs are passed through the simulation components and service layers. This includes: processor logic, simulation management, visualization and observer services. Data output is handled within the simulation display, as well as in text format for easy back-end analysis. The contributions of this dissertation: advanced the state of the systems engineering practice in modeling, simulation and analysis of chemical warfare agents during simulated military operations, created a robust systems engineering framework for creating chemical warfare simulations that is modular and customizable, developed a practical software solution to fill gaps in CBRN-E M&S tool offerings, integration of newly created dynamic models compatible with CBRN-E platforms, and formulated a roadmap for the application of Live, Virtual and Constructive training and operational planning for joint warfare integrated systems assessments.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierCreary_colostate_0053A_15463.pdf
dc.identifier.urihttps://hdl.handle.net/10217/195415
dc.languageEnglish
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019 - CSU Theses and Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subjectCBRN-E
dc.subjectchemical warfare
dc.subjectcasualty estimation
dc.subjectmodeling
dc.subjectchemBio
dc.subjectSE-CAS
dc.titleSystems engineering casualty analysis simulation (SE-CAS), The
dc.typeText
dcterms.rights.dplaThe copyright and related rights status of this Item has not been evaluated (https://rightsstatements.org/vocab/CNE/1.0/). Please refer to the organization that has made the Item available for more information.
thesis.degree.disciplineSystems Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)


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