Date of Award
2026-08-01
Degree Name
Doctor of Philosophy
Department
Mechanical Engineering
Advisor(s)
Sergio Luna Fong
Second Advisor
Afroza Shirin
Abstract
Model-Based Systems Engineering (MBSE) reaches its full value when architecture does more than describe a system. It should help engineers carry stakeholder need and system intent into executable analysis, preserve the configuration and criteria used, and return evidence that can be reviewed in the same architecture context. This dissertation develops and evaluates a seven phase, architecture-driven verification and validation framework for that purpose. The framework defines the responsibilities that connect SysML architecture, controlled execution, domain simulation, configuration management, persistent data, analytics, and accountable engineering review. A reusable Cameo/SysML digital test environment plugin provides the reference implementation for orchestration and model feedback, while each domain test environment retains authority over its physics and native results. The framework is applied to two different aerospace problems. A 180-run turbofan campaign evaluates three engine variants across representative environments, command profiles, and afterburner schedules. It demonstrates how architecture defined intent can produce requirement-level evidence and support a transparent selection of a well-rounded configuration. A rocket three-degree-of-freedom study applies the same lifecycle to a controlled 600-motor sample across four mission presets, demonstrating that the framework can transfer while the domain equations, scenarios, metrics, and applicability rules remain system specific. Across both cases, the contract structure, request and manifest exchange, persistent run identity, metric-to-requirement binding, and review boundary remain stable. The result is a practical verification and validation foundation that gives systems engineers, simulation specialists, subsystem teams, and reviewers a shared, traceable basis for engineering decisions. With additional fidelity, hardware, enterprise services, and operational data, this foundation can mature into a broader digital thread and support digital-twin development.
Language
en
Provenance
Received from ProQuest
Copyright Date
2026-08
File Size
118 p.
File Format
application/pdf
Rights Holder
Michael O. Cruz
Recommended Citation
Cruz, Michael O., "A Verification And Validation Framework For Model-Based Systems Engineering Using Executable Architecture Models And Integrated Simulation" (2026). Open Access Theses & Dissertations. 4657.
https://scholarworks.utep.edu/open_etd/4657