A Benchmark Structure for Validation of Experimental Substructuring, Transfer Path Analysis and Source Characterisation Techniques

Seijs, M. V. van der; Pasma, E. A.; Bosch, D. D. van den; Wernsen, M. W. F.

doi:10.1007/978-3-319-54930-9_26

Cited by 12 publications

(8 citation statements)

References 23 publications

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“…This section demonstrates the practical applicability of SEMM for the typical use of mixing a 'small' experimental model with the DoF-space of a full numerical model. The example uses the benchmark structure depicted in Figure 10, used previously to validate experimental dynamic substructuring and transfer path analysis methods; see [25,26]. It is a system consisting of three substructures, denoted A, B and R, that can be coupled in multiple configurations.…”

Section: Example: Benchmark Structurementioning

confidence: 99%

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System equivalent model mixing

Klaassen

Seijs

Klerk

2018

Mechanical Systems and Signal Processing

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This paper introduces SEMM: a method based on Frequency Based Substructuring (FBS) techniques that enables the construction of hybrid dynamic models. With System Equivalent Model Mixing (SEMM) frequency based models, either of numerical or experimental nature, can be mixed to form a hybrid model. This model follows the dynamic behaviour of a predefined weighted master model. A large variety of applications can be thought of, such as the DoF-space expansion of relatively small experimental models using numerical models, or the blending of different models in the frequency spectrum. SEMM is outlined, both mathematically and conceptually, based on a notation commonly used in FBS. A critical physical interpretation of the theory is provided next, along with a comparison to similar techniques; namely DoF expansion techniques. SEMM's concept is further illustrated by means of a numerical example. It will become apparent that the basic method of SEMM has some shortcomings which warrant a few extensions to the method. One of the main applications is tested in a practical case, performed on a validated benchmark structure; it will emphasize the practicality of the method.

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Section: Example: Benchmark Structurementioning

confidence: 99%

“…Figure 10: Substructuring benchmark structure [25] used to demonstrate the practical application of SEMM. The structure consists of substructures A and B which are coupled together at two coupling points to form assembly AB.…”

mentioning

confidence: 99%

System equivalent model mixing

Klaassen

Seijs

Klerk

2018

Mechanical Systems and Signal Processing

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“…Despite many studies on model improvement, practical limitations remain when applying the DS technique in automotive fields. Van der Seijs et al (2017) performed a practical physical study using the substructuring technique, and Kang (2019a, 2019b) and Song et al (2016) proposed a test jig to develop a vehicle suspension system by applying a DS technique while acknowledging the limitations of practical testing. Kim et al (2020) estimated system characteristics using virtual parameters and suggested practical uses for the DS method.…”

Section: Introductionmentioning

confidence: 99%

Accuracy improvement method for dynamic substructuring models in vehicle systems

Kim

Park

Cho

et al. 2021

Journal of Vibration and Control

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This study proposes an improved dynamic substructuring model using the estimated frequency response function information at coupling points between substructures. An assembled system generally consists of two or more substructures connected by a bolt. Individual substructure evaluation excluding the effects of other components is important in the development stage of a general mechanical system because the vibro-acoustic performance of the system depends on the specific combination of substructures. Therefore, this study predicted the final coupling system performance using information from the initial evaluation of the individual substructures. Accurate measurements of the joint properties are required to accurately estimate the dynamic assembled system characteristics; however, physical constraints typically limit such measurements at actual coupling points. Accordingly, a method that utilizes generalized coupling properties to estimate the dynamic characteristics of a new coupling system based on the characteristics of an original substructure is proposed. Virtual point transformation is then used to estimate accurate frequency response functions at the coupling points of the assembled system based on convenient measurements. The proposed method was validated using a vehicle suspension that was hard mounted in a test jig and onto an actual vehicle body to estimate the vibration characteristics of the assembled system. The findings of this study contribute to the accurate estimation of the dynamic properties of many real-world bolt-assembled systems.

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“…In other aspects, based on the vibration transmission intermediate link and the response source, Lu et al [11] analyzed the effect of multi-clearance joints on the steering mechanism, and Yin et al [12] investigated the coupled ride and directional performance characteristics between the hydro-mechanical frame steering and hydro-pneumatic suspension systems. In addition, transfer path analysis (TPA) and operational transfer path analysis (OPTA) [13]- [15] are two main existed research techniques for vibration transmission path analysis, and these are widely used in the field of engineering vibration control. However, TPA is only suitable for studying the static transfer function and its analysis steps are tedious.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Point Iterative Analysis Method for Vibration Control of a Steering Wheel at Idle Speed

Tang

et al. 2019

IEEE Access

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Steering wheel vibration control is of great significance to improve the ride comfort of vehicles. However, the coupling effect of the multi-source vibration transfer path makes it difficult to screen out the abnormal vibration transfer intervals. Therefore, a multi-point iterative analysis method (MIAM) is presented in this paper. In addition, this paper researches the characteristics of the main vibration transmission path of a truck and proposes a new vibration isolation structure. Considering the structural characteristics of the modal deformation of the car body, the installation orientation of the measuring point is further adjusted according to the area formed by modal deformation nodes, and a simplified vibration transfer path is presented. After weighing the vibration data of the sensor and considering the vibration transfer rate as the analysis index, the abnormal interval of vibration transmission on the main path was detected. The effectiveness of the improved structure is verified with the modal verification analysis of an extracted steering system model. In addition, the experimental results show that the improved measures reduce the total vibration of the steering wheel by 34% and offsets the peak corresponding frequency by 4.8%, showing the effectiveness of the proposed method and proving its advantages for other vibration control problems.INDEX TERMS MIAM, extracted steering system model, new vibration isolation structure, simplified vibration transfer path, modal verification analysis.

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A Benchmark Structure for Validation of Experimental Substructuring, Transfer Path Analysis and Source Characterisation Techniques

Cited by 12 publications

References 23 publications

System equivalent model mixing

System equivalent model mixing

Accuracy improvement method for dynamic substructuring models in vehicle systems

A Multi-Point Iterative Analysis Method for Vibration Control of a Steering Wheel at Idle Speed

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