An Embedded Boundary Approach for Resolving the Contribution of Cable Subsystems to Fully Coupled Fluid-Structure Interaction

Huang, Daniel Zaoming; Avery, Philip; Farhat, Charbel

doi:10.48550/arxiv.1908.08382

Cited by 1 publication

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“…Finally, the trained NN-ReLU model is applied for describing the canopy behavior in the Fluid-Structure Interaction (FSI) simulation of the inflation dynamics of a DGB parachute system in the low-density, low-pressure, supersonic Martian atmosphere 27,28,29 . While such a simulation is crucial to the understanding of the effects of the fabric material on the performance of the parachute during the deceleration process, its main purpose here is to validate the proposed multiscale fabric model using flight data from the landing on Mars of NASA's rover Curiosity.…”

Section: Supersonic Inflation Of a Dgb Parachutementioning

confidence: 99%

“…Hence, the flow is assumed to have transitioned to the turbulent regime, which is modeled here using Vreman's eddy viscosity subgrid-scale model for turbulent shear flow 32 with model constant = 0.07. The in-house Eulerian computational framework with an immersed (embedded) boundary method -Finite Volume method with Exact two-phase or two-material Riemann problems (FIVER) 33,34,35,36,28 is adopted in the present work, due to the large deformation of the parachute system. This method has previously been successfully employed for the simulation of the failure analysis of submerged structures subjected to explosions and implosions 37 .…”

Section: Componentmentioning

confidence: 99%

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A Computationally Tractable Framework for Nonlinear Dynamic Multiscale Modeling of Membrane Fabric

Avery,

Huang,

et al. 2020

Preprint

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A general-purpose computational homogenization framework is proposed for the nonlinear dynamic analysis of membranes exhibiting complex microscale and/or mesoscale heterogeneity characterized by in-plane periodicity that cannot be effectively treated by a conventional method, such as woven fabrics. The proposed framework is a generalization of the "Finite Element squared" (or FE 2 ) method in which a localized portion of the periodic subscale structure -typically referred to as a Representative Volume Element (RVE) -is modeled using finite elements. The numerical solution of displacement-driven problems using this model furnishes a mapping between the deformation gradient and the first Piola-Kirchhoff stress tensor. This unconventional material model can be readily applied in the context of membranes by using a variant of the approach proposed by Klinkel and Govindjee 1 for using conventional, finite strain, three-dimensional material models in beam and shell elements. The approach involves the numerical enforcement of the plane stress constraint, which is typically performed on out-of-plane components of the second Piola-Kirchhoff stress tensor ( ). Observing the principal of frame invariance, the RVE solution is reinterpreted as a mapping between the right stretch tensor and the symmetric Biot stress tensor conjugate pair. This facilitates the development of a drop-in replacement for any conventional finite strain plane stress material model formulated in terms of the in-plane components of the Green-Lagrange strain tensor and . Finally, computational tractability is achieved by introducing a regression-based surrogate model to avoid further solution of the RVE model when data sufficient to fit a model capable of delivering adequate approximations is available. For this purpose, a physics-inspired training regimen involving the utilization of our generalized FE 2 method to simulate a variety of numerical experiments -including but not limited to uniaxial, biaxial and shear straining of a material coupon -is proposed as a practical method for data collection. The proposed framework is demonstrated for a Mars landing application involving the supersonic inflation of an atmospheric aerodynamic decelerator system that includes a parachute canopy made of a woven fabric. Several alternative surrogate models are evaluated including a neural network.

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Section: Supersonic Inflation Of a Dgb Parachutementioning

confidence: 99%