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Abstract
This work extends the Multiaxial Racetrack Filter (MRF) to incorporate mean or maximum stress effects, adopting a filter amplitude that depends on the current stress level along the stress or strain path. In this way, a small stress or strain amplitude event can be filtered out if associated with a non-damaging low mean or peak stress level, while another event with the very same amplitude can be preserved if happening under a more damaging high mean or peak stress level. The variable value of the filter amplitude must be calculated in real time, thus it cannot depend on the peak or mean stresses along a load event, because it would require cycle identification and as so information about future events. Instead, mean/maximum stress effects are modeled in the filter as a function of the current (instantaneous) hydrostatic or normal stress along the multiaxial load path, respectively for invariantbased and critical-plane models. The MRF efficiency is evaluated from tension-torsion experiments in 316L stainless steel tubular specimens under non-proportional (NP) load paths, showing it can robustly filter out nondamaging events even under multiaxial NP variable amplitude loading histories. KEYWORDS. Multiaxial racetrack filter; Mean/peak stress effects; Nondamaging events; Multiaxial loads.
Highlights
U nlike frequency filters that clean but distort originally noisy signals, the uniaxial racetrack filter [1, 2] is an efficient and well-proven amplitude filter
The Multiaxial Racetrack Filter (MRF) efficiency is evaluated from tension-torsion experiments in 316L stainless steel tubular specimens under non-proportional (NP) load paths, showing it can robustly filter out nondamaging events even under multiaxial NP variable amplitude loading histories
The improved version of the MRF, proposed in this work to properly consider the difference between the wellknown effects caused by tensile and compressive mean loads on fatigue damage, is evaluated using experimental and idealized tension-torsion 2D stress histories
Summary
U nlike frequency filters that clean but distort originally noisy signals, the uniaxial racetrack filter [1, 2] is an efficient and well-proven amplitude filter It can eliminate non-damaging events from uniaxial load histories without changing the original loading order and its overall shape, much improving the efficiency of practical fatigue. The racetrack generalization to properly filter multiaxial non-proportional (NP) variable amplitude loading (VAL) histories is even more useful for practical applications. It can allow a dramatic reduction in the intrinsically high computational cost of fatigue damage calculations from multiaxial strain measurements, which besides noisy, usually are oversampled, too long, and/or contain too many non-damaging low-amplitude events that do not affect the damage values, but can much delay their calculation. Further details on the basic MRF procedures can be found in [5, 6]
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