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Modal driven load tailoring for efficient vibration fatigue assessment on non-stationary processes: A versatile approach exploiting the Fatigue Damage Spectrum

The Fatigue Damage Spectrum (FDS) serves as a versatile tool for assessing vibration loads based on their dynamic responses. It gained massive popularity due its simplicity and its unique ability to assess a loads’ potential to excite critical modes. Beyond the FDS’ conventional applications, this research proposes a novel load tailoring approach that extracts the most fatigue-relevant portions. The basic premise is to recover the highest response amplitudes within the FDS’ set of single-degree-of-freedom systems, following the principle of structure independence. The proposed method utilizes the FDS’ modal background to identify the location of peak responses for frequency, enabling the synthesis of a condensed time history enriched with high fatigue content. This is…

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The Fatigue Damage Spectrum (FDS) serves as a versatile tool for assessing vibration loads based on their dynamic responses. It gained massive popularity due its simplicity and its unique ability to assess a loads’ potential to excite critical modes. Beyond the FDS’ conventional applications, this research proposes a novel load tailoring approach that extracts the most fatigue-relevant portions. The basic premise is to recover the highest response amplitudes within the FDS’ set of single-degree-of-freedom systems, following the principle of structure independence. The proposed method utilizes the FDS’ modal background to identify the location of peak responses for frequency, enabling the synthesis of a condensed time history enriched with high fatigue content. This is particularly beneficial for handling the challenges associated with non-stationary vibration loading.

Our proposed method proves to have many advantages for an effective and efficient handling of load assumption for random vibration fatigue, in experimental but also numerical settings. On the former it reduces testing time by reaching failure faster with a close to real load. On the latter it allows to simulate only the most critical portions. Notably, the proposed method is independent of the Miner coefficient used for linear damage accumulation, which makes it greatly more powerful than other mission synthesis approaches found in existing literature. In a study, where we challenged the general assumptions connected to the FDS, we tested the procedure for a two-dimensional approach of the FDS, extending its capability to handle two-degree-of-freedom systems. This expansion provides additional information that can be incorporated into the final tailored signal.

Lastly, in an extended method, we present how this approach can be enhanced through a frequency domain analysis to deal with damage-equality of loading. This streamlines fatigue calculations by simulating the most critical portions in the time and securing damage-equality in the frequency domain.

The validation of the method involves real acquisitions from diverse fields (e.g., automotive, railway, aviation) and showcases of the method's versatility. One interesting field of application lies in identifying critical operational conditions by matching these with the events derived from the procedure. Our proposal culminates with the assessment of the method’s effectiveness when applying the proposed procedure on a real test case tailoring an acceleration time-history measured on a train.

Reference
VAL5-2024-045

Title
Modal driven load tailoring for efficient vibration fatigue assessment on non-stationary processes: A versatile approach exploiting the Fatigue Damage Spectrum
Author(s)
G. Curti, T. Dengler, M. Palmieri, A. Trapp, P. Wolfsteiner, F. Cianetti, K. Schneider
DOI
10.48447/VAL5-2024-045
Event
VAL5 - Fifth International Conference on Material and Component Performance under Variable Amplitude Loading
Year of publication
2024
Publication type
conference paper (PDF)
Language
English
Keywords
random vibration loading,non stationary loading,mission syntesis,fatigue damage spectrum,modal decomposition