Consistent Strain-Based Multifidelity Modeling for Geometrically Nonlinear Beam Structures

Author:

Otsuka Keisuke1,Wang Yinan2,Fujita Koji3,Nagai Hiroki3,Makihara Kanjuro1

Affiliation:

1. Department of Aerospace Engineering, Tohoku University , 6-6-01 Aramaki-Aza-Aoba, Aoba-Ward, Sendai 980-8579, Japan

2. Materials and Aerospace Engineering, University of Liverpool, School of Engineering , Harrison-Hughes Building, Brownlow Hill, L69 3GH, UK

3. Institute of Fluid Science, Tohoku University , 2-1-1, Katahira Aoba-Ward, Sendai, Miyagi 980-8577, Japan

Abstract

Abstract Conventional multifidelity modeling for slender structures such as folding-wing aircraft and offshore wind turbines does not allow the generation of multiple fidelity models that consistently use the same external force model, which complicates simulation program and design process. Although consistent absolute nodal coordinate formulation (ANCF)-based multifidelity modeling was recently proposed to address this inconsistency, it still has the following four problems: (1) a large number of generalized coordinates, (2) a large number of Lagrange multipliers, (3) difficulty in constraining high-frequency axial deformation, and (4) a lack of lower-fidelity models. The lower-fidelity models that have not yet been developed are torsion-only beam, extension-only truss, and bending-only beam models. The objective of this study was to develop a novel consistent strain-based multifidelity modeling framework that addresses these problems by leveraging new vector–strain transformations from ANCF to the strain-based beam formulation. We employed a hydrodynamic force model based on Morison's equation as an example to demonstrate all fidelity models obtained from the proposed strain-based framework consistently use the same external force model. We conducted five simulations to verify the proposed models. The consistent external force model for the hydrodynamic force was then validated by comparison with experimental data. The simulation results concurred with those of conventional models and experiments. Low-fidelity models exhibited over 98% reduction in calculation time compared to high-fidelity models, which helps in conceptual and initial designs that require a large number of parametric simulations.

Funder

Casio Science Promotion Foundation

Japan Society for the Promotion of Science

Mazda Foundation

Publisher

ASME International

Subject

Applied Mathematics,Mechanical Engineering,Control and Systems Engineering,Applied Mathematics,Mechanical Engineering,Control and Systems Engineering

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