Validation of Current State Frequency Based Substructuring Technology for the Characterisation of Steering Gear–Vehicle Interaction

Seijs, M. V. van der; Klerk, D. de; Rixen, Daniel J.; Rahimi, S.

doi:10.1007/978-1-4614-6540-9_20

Cited by 19 publications

(30 citation statements)

References 5 publications

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“…Various studies have dealt with problems related to driving-point measurements [10,16] and the propagation of measurement errors into the coupled FRFs [7,15].…”

Section: Virtual Point Descriptionmentioning

confidence: 99%

“…This method was first presented by [6,14,17]. A physical derivation of the transformation and ways to construct IDM matrices for individual subsystems were suggested by [16]. In this work however, the virtual point transformation is approached slightly differently, namely from a Dynamic Substructuring point of view.…”

Section: Theorymentioning

confidence: 99%

“…Using the virtual point transformation as discussed in section 2 the effects of uncorrelated measurement noise as well as errors due to misalignment of the sensor are reduced, which is generally considered a good practice [6,9,16]. The use of at least three triaxial sensors per virtual point can therefore be held as rule of thumb.…”

Section: Sensor Placementmentioning

confidence: 99%

“…In some previous studies the sensor faces were chosen as possible impact locations [3,16]. Depending on the chosen sensors this can have its advantages and disadvantages.…”

Section: Impact Positionsmentioning

confidence: 99%

“…The value ρ 2 u 1 is called the sensor consistency (in previous work rigidness [6,16]) and gives a value between 0 and 1 that indicates how well the sensors of virtual point 1 can describe the dynamics (caused by a certain excitation) through the IDM modes. It is a frequency dependent indicator that can be evaluated for every virtual point and for each excitation separately 7 .…”

Section: Sensor Consistencymentioning

confidence: 99%

See 4 more Smart Citations

An Improved Methodology for the Virtual Point Transformation of Measured Frequency Response Functions in Dynamic Substructuring

Seijs¹,

Bosch²,

Rixen³

et al. 2014

Proceedings of the 4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Abstract. Dynamic Substructuring methods play a significant role in the analysis of todays complex systems. Crucial in Dynamic Substructuring is the correct definition of the interfaces of the subsystems and the connectivity between them. Although this is straightforward practice for numerical finite element models, the experimental equivalent remains challenging. One of the issues is the coupling of the rotations at the interface points that cannot be measured directly. This work presents a further extension of the virtual point transformation that is based on the Equivalent Multi-Point Connection (EMPC) method and Interface Deformation Mode (IDM) filtering. The Dynamics Substructuring equations are derived for the weakened interface problem. Different ways to minimise the residuals caused by the IDM filtering will be introduced, resulting in a controllable weighting of measured Frequency Response Functions (FRFs). Also some practical issues are discussed related to the measurement preparation and post-processing. Special attention is given to sensor and impact positioning. New coherencelike indicators are introduced to quantify the consistency of the transformation procedures: sensor consistency, impact consistency and reciprocity.4334

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“…Various studies have dealt with problems related to driving-point measurements [10,16] and the propagation of measurement errors into the coupled FRFs [7,15].…”

Section: Virtual Point Descriptionmentioning

confidence: 99%

Section: Theorymentioning

confidence: 99%

Section: Sensor Placementmentioning

confidence: 99%

“…In some previous studies the sensor faces were chosen as possible impact locations [3,16]. Depending on the chosen sensors this can have its advantages and disadvantages.…”

Section: Impact Positionsmentioning

confidence: 99%