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Applied Mathematics and Statistics

News & Events

[Seminar] Modeling and Simulation of Parachute Inflation on Front Tracking Platform with the Dual-Stress Spring-Mass Fabric Model

AuthorApplied Mathematics & Statistics REG_DATE2025.04.16 Hits38

Speaker: Xiaolin Li
Location: C107
Date and Time: 

About the Speaker: Dr. Xiaolin Li

• Professor, Dept. of Applied Mathematics and Statistics | Stony Brook University

• Assistant Professor, Dept. of Mathematics and Dept. of Computer Science Indiana University-Purdue University at Indianapolis

• Assistant Professor, Department of Mathematics | New Jersey Institute of Technology

• Associate Research Scientist Courant Institute of Mathematical Sciences

• Ph.D. in Applied Mathematics Columbia University

• M.S. in Applied Mathematics | Columbia University

• B.S. in Physics Wuhan University

Abstract

This work presents a story of mathematical modeling through the development of a mesoscale dual-stress spring model, derived using Rayleigh-Ritz analysis, to represent the fabric surface of a parachute as an elastic membrane. The elastic structure is coupled with a fluid solver via the impulse method to capture fluid-structure interactions.

We describe the implementation of this coupled system on a front-tracking computational platform, leveraging its data structures and core functionalities. Key challenges in this multi-physics simulation are addressed, including turbulence modeling, fabric collision, parachutist-body-fluid interaction, and computational parallelization.

We also provide numerical evidence of convergence, along with verification and validation of the model components.

Finally, we discuss the software architecture designed to support simulations of various air-delivery systems.