Abstract

Experimental tests in wind tunnels have been traditionally employed as a fundamental tool to evaluate aerodynamic and aeroelastic effects due to wind action on civil engineering structures, such as bridges and slender buildings. In the last decades, due to the versatility presented by numerical methods to change physical as well as geometrical parameters, numerical simulation has become a very attractive tool. Computational Fluid Dynamics (CFD), Computational Structural Dynamics (CSD) together with Fluid‐Structure Interaction (FSI) techniques are employed in aerodynamic and aeroelastic analysis in several engineering fields. Aerodynamic and aeroelastic behavior due to wind action on the Guama River Bridge, located at Pará State, Brazil, is first studied, taking into account experimental tests performed in the Wind Tunnel Joaquim Blessman of the Building Aerodynamic Laboratory, UFRGS. Numerical procedures are used to simulate experimental tests in order to determine aerodynamic and aeroelastic characteristics of the bridge, which is idealized by sectional models. Finally, an aeroelastic analysis of a flexible slender building is presented. Good results are obtained using numerical simulation, when compared with experimental tests.

Abstract

In this paper we suggest some algorithms for the fluid-structure interaction problem stated using a domain decomposition framework. These methods involve stabilized pressure segregation methods for the solution of the fluid problem and fixed point iterative algorithms for the fluid-structure coupling. These coupling algorithms are applied to the aeroelastic simulation of suspension bridges. We assess flexural and torsional frequencies for a given inflow velocity. Increasing this velocity we reach the value for which the flutter phenomenon appears.

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This paper presents the Multi-Disciplinary Optimization (MDO) of a business jet including static aeroelastic effects. Two different CFD tools (AETHER by Dassault Aviation and PUMA by NTUA) are coupled with a CSM model (VPS software by ESI). Single discipline as well as coupled multi-disciplinary sensitivity derivatives (SDs) are computed by means of adjoint methods. Both a purely discrete and a hybrid continuous(fluid)/discrete(structure) adjoint formulations are presented. The computed SDs are verified against finite differences.

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In the industrial design of turbomachinery blades their aeroelastic behaviour is most commonly investigated by methods, that use linearization or rely on unidirectional coupling. To circumvent the limitations of those methods a new fully coupled simulation in the time domain with the structural solver CalculiX and the turbomachinery CFD solver TRACE is currently developed and presented in this paper. The coupling library preCICE is chosen to couple the mentioned elaborated single physics solvers due to its focus on high performance computing applications. Within this work the preCICE adapter for CalculiX has recently been enabled to work with a special CalculiX method, that allows to investigate dedicated eigenforms of the blades or other structural objects. It is furthermore shown that the use of this CalculiX method can lead to a massive speedup for use cases, where the structural dynamics response can be well described by a piece-wise linear approximation within each increment. On the other hand a completely new preCICE adapter for TRACE has been developed and is introduced here. The preCICE-coupled system of CalculiX and TRACE is successfully validated against a TRACE-internal coupling approach by investigating a simple testcase with a NACA profile blade that shows good agreement.

Abstract

This paper focus on mathematical modelling and numerical simulation of human phonation process. The mathematical FSI model is presented consisting of the description of the structural model, the flow model and the coupling conditions. In order to treat the VFs contact, the problem of the glottis closure is addressed. To this end several ingredients are used including the use of suitable boundary conditions, modification of the flow model and robust mesh deformation algorithm. The FSI model is extended to FSAI problem by inclusion of the Lighthill model of aeroacoustics. The numerical approximation of the problem is presented and several numerical results are shown.