This paper presents a multi-scenario approach to derive load assumptions for accelerated life testing of varying random vibration loading. The scenarios differentiate on the basis of the available a priori information of the device under test, and range from pure load information over structural transfer functions to the most comprehensive scenario including actual S-N curves. The proposed derivation of the accelerated load assumptions is based on a purely statistical description which includes meaningful metrics from the field of stationary Gaussian vibration research. In order to make such a description available for realistic loading, which throughout many technical applications consist of continuously varying load states, the synthesis into multiple stationary Gaussian load states is examined. The approach presented is illustrated by an exemplary load recorded on the wheel set of a train. This load is decomposed into a quasi-stationary load description consisting of eight load states and processed for all scenarios to derive accelerated load assumptions.
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