Brown Bag Seminar
Thursday, April 13, 2023
11:00 am – 12:00 pm
Guggenheim 442
Presenters:
Kyle Cangelosi
Zachary Connor
Andrew Wood
Kyle Cangelosi:
Title:
Complexity and Health Monitoring of SysML Models
Abstract:
With the ever-increasing complexity of technology, the role of systems engineering has become paramount to ensuring program success. Model-based systems engineering (MBSE) through the Systems Modeling Language (SysML) allows for the creation of unified digital models representing the entirety of massive systems. However, as these systems continue to grow in complexity sometimes greater than tens of millions of elements, users can run into practical hardware limitations while loading and modifying these files. This presentation will discuss methods of measuring model complexity and gauging overall system model health.
Advisor:
Prof. Selcuk Cimtalay and Russell Peak
Zachary Connor
Title:
Model Complexity Visualization and Scripting Implementation with MBSE
Abstract:
Not only is visualizing models visually satisfying, but it is also incredibly informative from a model-based system engineering perspective. The analysis performed brings insight to SysML 101 students model development habits and ways to improve them. It’s use in industry is also crucial- models are massive and complex all of which need methods to improve model efficiency for all. Throughout the research, scripts in java and python were developed to help analyze models in the future.
Scripting usages when combined with MagicDraw OpenAPI brings forth leverages many originally wouldn’t think is possible. Scripts bring speed, flexibility, and efficiency all to a model in matters of seconds. In this presentation, scripting was used to autonomously access Teamwork Cloud- a style of server used by many in the industry. Autonomous Teamwork Cloud access is a field which has not been journeyed often due to its inherent complexity against typical local servers.
Advisor:
Prof. Russell Peak
Andrew M Wood
Title:
Joint Estimation of Antarctic Glacial Isostatic Adjustment and Ice Mass Change
Abstract:
Numerous surface and solid earth processes influence the dynamics of ice in Earth’s polar regions. As urgency to understand the effects of climate change and sea level rise grows, it is essential to characterize these processes and their contributions to ice sheet mass balance, surface height, and extent. Glacial isostatic adjustment, or GIA, describes the elastic response of the solid Earth due to ice sheet dynamics. Due to the large number of input models that are inaccurately known, current GIA estimates are plagued with significant uncertainty that makes them the largest contributor of uncertainty within mass balance estimates. Gravimetry satellites GRACE and GRACE-FO are able to observe total mass changes but require GIA correction to estimate ice sheet mass changes. In this work, GRACE-derived mass change estimates are supplemented with satellite altimetry and regional climate modeling to simultaneously estimate GIA and ice mass change trends over the Antarctic continent. Altimetry datasets from IceSat and IceSat-2 are used to constrain absolute volume, allowing the separation of GIA and ice mass loss in presence of a density model. A firn densification model and corresponding surface mass balance model are also utilized, incorporating simulated spatial and temporal variations of short-period surface processes.
Advisor:
Prof. Brian Gunter