Stochastic Geometrically Exact Beam: Continuous-Time Geometric Principles and Variational Discretizations

Geometrically exact beams naturally arise in physical phenomena and engineering practice for modeling flexible structures, such as soft robotic manipulators and DNA structures. To the best of our knowledge, there appear to be no geometric integrators for the stochastic geometrically exact beam in a variational formulation.

In this paper, we introduce variational principles for the dynamics of the stochastic geometrically exact beam, in both continuous- and discrete-time settings. By introducing perturbations from stochastic potentials and stochastic kinematics, we derive the stochastic equations of motion from a variational viewpoint. The resulting structure-preserving stochastic geometric integrators simultaneously discretize time and space in a parallel manner, which provides a distributed computational approach to solve the stochastic dynamics of the beam system.

In particular, the proposed integrators are shown to be a stochastic extension of the well-known deterministic staggered leapfrog scheme for the wave equation, and also a stochastic extension of Yee's scheme for spatially one-dimensional computational electromagnetism. Numerical results are shown to demonstrate the effectiveness of the proposed approaches.