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Substructure/fluid subdomain coupling method for large vibroacoustic problems
El Maani, Rabii,El Hami, Abdelkhalak,Radi, Bouchaib Techno-Press 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.65 No.4
Dynamic analysis of complex and large structures may be costly from a numerical point of view. For coupled vibroacoustic finite element models, the importance of reducing the size becomes obvious because the fluid degrees of freedom must be added to the structural ones. In this paper, a component mode synthesis method is proposed for large vibroacoustic interaction problems. This method couples fluid subdomains and dynamical substructuring of Craig and Bampton type. The acoustic formulation is written in terms of the velocity potential, which implies several advantages: coupled algebraic systems remain symmetric, and a potential formulation allows a direct extension of Craig and Bampton's method to acoustics. Those properties make the proposed method easy to implement in an existing finite element code because the local numerical treatment of substructures and fluid subdomains is undifferentiated. Test cases are then presented for axisymmetric geometries. Numerical results tend to prove the validity and the efficiency of the proposed method.
RBDO analysis of the aircraft wing based aerodynamic behavior
Rabii El Maani,Abderahman Makhloufi,Bouchaïb Radi,Abdelkhalak El Hami 국제구조공학회 2017 Structural Engineering and Mechanics, An Int'l Jou Vol.61 No.4
The need of progress in engineering designs especially for aerospace structure is nowadays becoming a major industry request. The objectives of this work are to quantify the influence of material and operational uncertainties on the performance of the aerodynamic behavior of an Aircraft Wing, and to give a description of the most commonly used methods for reliability based design optimization (RBDO) to point out the advantages of the application of this method in the design process. A new method is proposed, called Safest Point (SP) that can efficiently give the reliability-based optimum solution for freely vibrating structures with and without fluid flow.
Substructure/fluid subdomain coupling method for large vibroacoustic problems
Rabii El Maani,Abdelkhalak El Hami,Bouchaib Radi 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.65 No.4
Dynamic analysis of complex and large structures may be costly from a numerical point of view. For coupled vibroacoustic finite element models, the importance of reducing the size becomes obvious because the fluid degrees of freedom must be added to the structural ones. In this paper, a component mode synthesis method is proposed for large vibroacoustic interaction problems. This method couples fluid subdomains and dynamical substructuring of Craig and Bampton type. The acoustic formulation is written in terms of the velocity potential, which implies several advantages: coupled algebraic systems remain symmetric, and a potential formulation allows a direct extension of Craig and Bampton’s method to acoustics. Those properties make the proposed method easy to implement in an existing finite element code because the local numerical treatment of substructures and fluid subdomains is undifferentiated. Test cases are then presented for axisymmetric geometries. Numerical results tend to prove the validity and the efficiency of the proposed method.
A polynomial chaos method to the analysis of the dynamic behavior of spur gear system
Guerine, A.,El Hami, A.,Fakhfakh, T.,Haddar, M. Techno-Press 2015 Structural Engineering and Mechanics, An Int'l Jou Vol.53 No.4
In this paper, we propose a new method for taking into account uncertainties based on the projection on polynomial chaos. The new approach is used to determine the dynamic response of a spur gear system with uncertainty associated to gear system parameters and this uncertainty must be considered in the analysis of the dynamic behavior of this system. The simulation results are obtained by the polynomial chaos approach for dynamic analysis under uncertainty. The proposed method is an efficient probabilistic tool for uncertainty propagation. It was found to be an interesting alternative to the parametric studies. The polynomial chaos results are compared with Monte Carlo simulations.
A polynomial chaos method to the analysis of the dynamic behavior of spur gear system
A. Guerine,A. El Hami,T. Fakhfakh,M. Haddar 국제구조공학회 2015 Structural Engineering and Mechanics, An Int'l Jou Vol.53 No.4
In this paper, we propose a new method for taking into account uncertainties based on the projection on polynomial chaos. The new approach is used to determine the dynamic response of a spur gear system with uncertainty associated to gear system parameters and this uncertainty must be considered in the analysis of the dynamic behavior of this system. The simulation results are obtained by the polynomial chaos approach for dynamic analysis under uncertainty. The proposed method is an efficient probabilistic tool for uncertainty propagation. It was found to be an interesting alternative to the parametric studies. The polynomial chaos results are compared with Monte Carlo simulations.
Dynamic behavior of the one-stage gear system with uncertainties
M. Beyaoui,A. Guerine,L. Walha,A. El Hami,T. Fakhfakh,M. Haddar 국제구조공학회 2016 Structural Engineering and Mechanics, An Int'l Jou Vol.58 No.3
In this paper, we propose a method for taking into account uncertainties based on the projection on polynomial chaos. Due to the manufacturing and assembly errors, uncertainties in material and geometric properties, the system parameters including assembly defect, damping coefficients, bending stiffness and traction-compression stiffness are uncertain. The proposed method is used to determine the dynamic response of a one-stage spur gear system with uncertainty associated to gear system parameters. An analysis of the effect of these parameters on the one stage gear system dynamic behavior is then treated. The simulation results are obtained by the polynomial chaos method for dynamic analysis under uncertainty. The proposed method is an efficient probabilistic tool for uncertainty propagation. The polynomial chaos results are compared with Monte Carlo simulations.