The systems engineering casualty analysis simulation (SE-CAS)
Date
2019
Authors
Creary, Andron Kirk, author
Sega, Ron, advisor
Reisfeld, Brad, committee member
Young, Peter, committee member
Bradley, Thomas, committee member
Journal Title
Journal ISSN
Volume Title
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.
Description
2019 Spring.
Includes bibliographical references.
Includes bibliographical references.
Rights Access
Subject
CBRN-E
chemical warfare
casualty estimation
modeling
chemBio
SE-CAS