Multistep Time-Integration Methods Based on NURBS and Bézier curves for Nonlinear Computational Mechanics
Ensieh Bakhtiari
TU Darmstadt, Tehran PolytechnicRelevance to WCCM–ECCOMAS
This short course introduces a novel class of multistep time-integration methods constructed using NURBS and Bézier curves. The primary objective is to present a unified framework for solving time-dependent problems within the method of lines paradigm, with particular emphasis on nonlinear and multiphysics applications.
Course description
This short course introduces a novel class of multistep time-integration methods constructed using NURBS and Bézier curves. The primary objective is to present a unified framework for solving time-dependent problems within the method of lines paradigm, with particular emphasis on nonlinear and multiphysics applications.
The course covers theoretical foundations, formulation, and implementation aspects of these methods. A key advantage of the proposed approach is that it avoids explicit linearization of the governing equations, making it particularly suitable for strongly nonlinear problems. In addition, the methods provide enhanced numerical stability and efficiency, enabling the use of larger time-step sizes while maintaining high accuracy.
Objectives and target groups
The course is intended for:
- Graduate students in computational mechanics
- Researchers in numerical methods and scientific computing
- Engineers working on transient and nonlinear simulations
- Practitioners interested in advanced time-integration techniques
Scientific and technical areas covered
- Fundamentals of multistep time-integration methods
- Construction of time-integration schemes using NURBS and Bézier bases
- Method of lines framework
- Stability, consistency, and convergence analysis
- Treatment of strongly nonlinear systems
- Coupling with isogeometric spatial discretization
- Applications in:
- Structural mechanics (plates, shells, and solids)
- Multiphysics problems
- Biomechanics
- Nonlinear thermo-mechanical analysis
Bio-sketch
Ensieh Bakhtiari Ensieh Bakhtiari is a PhD Candidate in Mechanical Engineering at Amirkabir University of Technology, specializing in
Computational Methods, and a Researcher in the Computational Engineering Group at Technical University of Darmstadt.
She
is the recipient of the Iran National Science Foundation Distinguished Research Award and serves as Lecturer of Advanced
Numerical Methods and Advanced Finite Element Methods at Amirkabir University of Technology, where she has also received
the Best Lecturer Award.
