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This paper presents a newly developed hybrid simulation technique for uncoupled acoustic analysis of interior cavities. This method applies a Wave Based model for a large, geometrically simple portion of the acoustic cavity. The superficial details of the problem domain are modeled using a modally reduced finite element model. The resulting hybrid model benefits from the computational efficiency of the Wave Based Method, while retaining the Finite Element Method's ability to model the actual geometry of the problem in great detail. Application of this approach to the analysis of a moderately simplified acoustic car cavity shows the improved computational efficiency as compared to classical finite element procedures and illustrates the potential of the hybrid method as a powerful tool for the analysis of three-dimensional interior acoustic systems.

This paper presents the development of a structural model for passenger car tyres, based on a three-dimensional flexible ring on an elastic foundation. The ring represents the belt and the elastic foundation represents the tyre sidewall. The tyre model, which is implemented as a finite element model, is valid below the first treadband axial bending mode and includes a definition of the wheel flexibility and air cavity. The eigenfrequencies predicted by the model are within 5% of the measured eigenfrequencies. The model is validated by comparing predicted with measured responses for both an unloaded and loaded tyre.

A key element to bring research advances on intelligent materials to industrial use is that the product CAE models must support such solutions. This involves modeling capabilities for intelligent material systems, sensor and actuator components, control systems as well as their integration in system-level application designs. The final result will then be a multi-attribute optimization approach integrating noise and vibration performance with reliability, durability and cost aspects. As no single integrated solution will fulfill all requirements of the various material and control approaches, the focus of the research is on the use, combination and extension of existing codes and tools.

A CUBE™ high frequency 6-DOF shaker table has recently been installed at the KULeuven Vehicle Technologies Laboratory. This paper describes a dual hardware-software approach for increased accuracy of Multi-Degree-Of-Freedom (MDOF) road reproduction experiments. On the KULeuven 6-DOF high-frequency shaker table, the hardware is calibrated using a mobile Coordinate Measuring Machine (CMM) and both hardware and software settings are tuned for better accuracy. In addition, a modified Time Waveform Replication (TWR) algorithm is presented that yields more stable control and reduction of unwanted rotations.