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The impact of comfort is becoming increasingly important. On one hand, manufacturers use comfort to distinguish their products from their competitors. On the other hand, more cars than ever are used professionally. The prolonged sitting in automotive conditions of professional drivers introduced new physical complaints, resulting in high social costs. However, the cause of these complaints is not well understood. The use of virtual testing tools can contribute to both speeding up and reducing the costs of the development process of new more comfortable cars and the research in the causes of the new complaints. Vibration loading has often been identified as a source of discomfort. In literature, several human models developed for prediction of human resonance behaviour in vibrations were described. In most of these human body models, the muscles are represented in a simplified way.

The importance of automotive comfort is increasing, both socially and economically. Especially professional drivers often have comfort-related physical complaints, such as lower back pain. In addition, car manufacturers can use comfort to distinguish their cars from their competitors. However, the development and design of a new, more comfortable car seat is very time consuming and costly. The use of computer models of human and seat could facilitate this process. MADYMO human and seat models offer the possibility to predict comfort. This paper describes the application of the MADYMO multi-body 50th percentile human model for determination of human-seat interaction in vertical vibrations. The validation of the human model is based on volunteer tests with both a rigid seat and a standard car seat. The human model shows a good correlation with the volunteers.

Comfort of car seats is becoming an increasingly important issue in the design of vehicles for professional use as well as for personal use. People using cars professionally, like drivers of taxis, trucks, and busses, often have to drive for prolonged periods sometimes leading to physical complaints, like e.g. low back pain. Apart from experimental investigations, virtual testing is becoming more important to get more insight in the problem of low back pain. This paper presents a finite element (FE) model of the lumbar spine (L1-L5). The model contains a detailed geometric description of the lumbar spine and realistic material properties. On a segmental level and as a whole, the model's response was verified for quasi-static and dynamic conditions based on experimental data published in literature. The quasi-static segmental validation comprised of compression, posterior, anterior and lateral shear, flexion and extension, lateral bending and axial torque.

The introduction of a new comfortable car seat or interior is a time consuming and costly process for car and seat manufacturers. The application of numerical models of human and seat could facilitate this process. Vertical vibrations and seat pressure distributions are two objective parameters that have been related to the subjective feeling of (dis)comfort that can be predicted by numerical tools. In this paper, human models suitable for prediction of human behaviour in vertical vibrations and seat pressure distributions are applied in a seat sensitivity study. The objective of this paper is to evaluate the applicability of the human models as design tools for car and seat developers in an early stage of the design process. The sensitivity of the output of the models for variations in seat characteristics for seat developers in the design process of a new comfortable car seat has been studied.