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Due to several indeterminate factors, the assessment of the durability performance of a vehicle body is traditionally accomplished using test methods. An analytical fatigue life prediction method (four-step durability process) that relies mainly on numerical techniques is described in this paper. The four steps comprising this process include the identification of high stress regions, recognizing the critical load types, determining the critical road events and calculation of fatigue life. In addition to utilizing a general purpose finite element analysis software for the application of the Inertia Relief technique and a previously developed fatigue analysis program, two customized programs have been developed to streamline the process into an integrated, user-friendly tool. The process is demonstrated using a full body, finite element model.

Fatigue analysis using finite element models of a full vehicle body structure subjected to proving ground durability loads is a very complex task. The current paper presents an analytical procedure for fatigue life predictions of full body structures based on a time-domain approach. The paper addresses those situations where this kind of analysis is necessary. It also discusses the major factors (e.g., stress equivalencing procedure, cycle counting method, event lumping and load interactions) which affect fatigue life predictions in the procedure. A comparison study is conducted which explores the combination of these factors favorable for realistic fatigue life prediction. The concepts are demonstrated using a body system model of production size.

High mileage NVH performance is one of the major concerns in vehicle design for long term customer satisfaction. Elastomeric components such as suspension bushings function as vibration isolators in a vehicle. High mileage driving tends to cause the degradation of these components which in turn results in the degradation of vehicle overall NVH performance. The present paper presents the application of CAE based robustness methodology to vehicle high mileage degradation with respect to bushing degradation. A unitized vehicle with suspension strut mounts is selected as the project vehicle. Strut mount degradation characteristics, vehicle CAE model and design of experiment are linked together to achieve vehicle response robustness. The concept and methodology arc demonstrated using a tire input which simulates road excitations as a first step toward the development of a more extensive robustness methodology which will cover other excitation conditions.