9.3.3 Simulation‐Based Design Using SysML Part 2: Celebrating Diversity by Example

TLDR

The papers introduce foundational principles of parametrics in OMG SysML™ and describe how the multi‑representation architecture (MRA) and composable object techniques enable integration of engineering analysis with system requirements, behavior, and structure models across diverse analysis fidelities. This Part 2 paper demonstrates SysML models for a benchmark tutorial on analysis templates using an airframe flap linkage and showcases additional modeling concepts such as packages, building‑block libraries, and requirements‑verification‑simulation interrelationships. The tutorial captures engineering analysis models—e.g., stress models—in SysML and executes them with external math and finite‑element solvers, illustrating how analysis templates and modular libraries support simulation‑based design. Results show that SysML can serve as a unifying language for models ranging from top‑level system representations to discipline‑specific leaf‑level models.

Abstract

Abstract These two companion papers present foundational principles of parametrics in OMG SysML™ and their application to simulation‐based design. Parametrics capabilities have been included in SysML to support integrating engineering analysis with system requirements, behavior, and structure models. This Part 2 paper walks through SysML models for a benchmark tutorial on analysis templates utilizing an airframe system component called a flap linkage. This example highlights how engineering analysis models, such as stress models, are captured in SysML, and then executed by external tools including math solvers and finite element analysis solvers. We summarize the multi‐representation architecture (MRA) method and how its simulation knowledge patterns support computing environments having a diversity of analysis fidelities, physical behaviors, solution methods, and CAD/CAE tools. SysML and composable object (COB) techniques described in Part 1 together provide the MRA with graphical modeling languages, executable parametrics, and reusable, modular, multi‐directional capabilities. We also demonstrate additional SysML modeling concepts, including packages, building block libraries, and requirements‐verification‐simulation interrelationships. Results indicate that SysML offers significant promise as a unifying language for a variety of models—from top‐level system models to discipline‐specific leaf‐level models.