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Modelling and analysis of suspension systems 149<br />

a conceptual suspension layout. The resulting loading environment for each<br />

component may be used by designers to sketch a meaningful first-sight<br />

design. This can avoid packaging difficulties induced by ill-informed<br />

sketching of components and the subsequent ‘stealing’ of space needed for<br />

section modulus in key components.<br />

Service loads are altogether more detailed. They are typically well-defined<br />

events where road profiles and speeds are well known. Once a reasonably<br />

representative geometry and suspension setting data set is available, the<br />

description of events may be combined with some form of enveloping tyre<br />

model in order to predict load–time histories for each component in the<br />

suspension. This in turn may be passed to finite element-based fatigue calculation<br />

methods in order to evaluate the number of times a component<br />

may be subject to this event before failure. Hypotheses such as the linear<br />

damage accumulation hypothesis (Miner’s rule) may be used to sum up the<br />

contribution of different events to the life of the component. Interested<br />

readers are referred to the SAE Fatigue Design Handbook (Rice, 1997) for<br />

more information on component fatigue analysis.<br />

With the calculation of service loads, instead of a single set of peak loads as<br />

produced from the design loads there is a vast amount of time-domain data.<br />

Typical data rates for service load events are around 200 points per second<br />

and service load events last of the order of 10 seconds. With a repertoire of<br />

up to 20 events describing a typical durability sign-off, it may be seen that<br />

the calculation of service loads results in an increase in the quantity of<br />

results data of the order of five orders of magnitude. Calculation and subsequent<br />

processing times rise too, though not quite by the same amount since<br />

linear static FE calculation times are a significant proportion of the overall<br />

elapsed time following design load calculations. However, as an overall<br />

process time amplification the expectation should be between two and three<br />

orders of magnitude for the calculation and use of service loads as compared<br />

to design loads. For some simple components, the use of a previously verified<br />

and correlated rig test may prove less onerous to the organization.<br />

4.2 Types of suspension system<br />

There are various suspension systems used on cars and trucks and as<br />

described in Chapter 3 specialized versions of MBS programs such as the<br />

ADAMS/Chassis and ADAMS/Car programs provide templates with preprogrammed<br />

configurations of suspension systems commonly used by<br />

automotive manufacturers. Many established textbooks on vehicle dynamics<br />

and some that focus on suspensions provide a detailed treatment of the<br />

various types of suspension system and their function. The coverage here<br />

will be to briefly mention some of the most common systems and then to<br />

direct our attention to the MBS modelling and simulation environment.<br />

The double wishbone and McPherson strut systems are very common and<br />

will provide the basis for the ensuing discussion.<br />

At the time of writing the following configurations, shown graphically in<br />

Figure 4.12, are those, for example, provided with the ADAMS/Chassis<br />

program to model vehicle front suspension systems. Note that the software<br />

follows its roots and uses the Short–Long Arm naming convention used

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