dc.contributor.advisor | Sega, Ron |
dc.contributor.author | Creary, Andron Kirk |
dc.contributor.committeemember | Reisfeld, Brad |
dc.contributor.committeemember | Young, Peter |
dc.contributor.committeemember | Bradley, Thomas |
dc.date.accessioned | 2019-06-14T17:06:58Z |
dc.date.available | 2019-06-14T17:06:58Z |
dc.date.issued | 2019 |
dc.description | 2019 Spring. |
dc.description | Includes bibliographical references. |
dc.description.abstract | In 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.medium | born digital |
dc.format.medium | doctoral dissertations |
dc.identifier | Creary_colostate_0053A_15463.pdf |
dc.identifier.uri | https://hdl.handle.net/10217/195415 |
dc.language | English |
dc.publisher | Colorado State University. Libraries |
dc.relation.ispartof | 2000-2019 - CSU Theses and Dissertations |
dc.rights | Copyright of the original work is retained by the author. |
dc.subject | CBRN-E |
dc.subject | chemical warfare |
dc.subject | casualty estimation |
dc.subject | modeling |
dc.subject | chemBio |
dc.subject | SE-CAS |
dc.title | Systems engineering casualty analysis simulation (SE-CAS), The |
dc.type | Text |
dcterms.rights.dpla | The 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.discipline | Systems Engineering |
thesis.degree.grantor | Colorado State University |
thesis.degree.level | Doctoral |
thesis.degree.name | Doctor of Philosophy (Ph.D.) |