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Open AccessArticle

Motorcycle Structural Fatigue Monitoring Using Smart Wheels

Department of Mechanical Engineering, Politecnico di Milano, 20156 Milano, Italy
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Received: 17 November 2020 / Revised: 10 December 2020 / Accepted: 14 December 2020 / Published: 17 December 2020
The paper is devoted to the measurement and to the processing of load spectra of forces and moments acting at the wheel hub of a motorcycle. Smart wheels (SWs) have been specifically developed for the scope. Throughout the paper, the extreme case of a race motorcycle is considered. Accurate load spectra were measured in two race circuits. Standardized load spectra are derived by processing measured data. A way to easily generalize the measured load spectra is proposed for the first time for motorcycles. Several loading conditions, related to the motorcycle straight line motion, cornering, curb hit and gear shift, are identified and extracted from the experimental measures. For each loading condition, by means of simple semi-analytical models (SAMs), a relationship is found between the vertical force on the wheel, the tilt angle of the motorcycle and the remaining forces and moments acting at the wheel hub. Such relationships are nothing else than the standardized load spectra. Additionally, a simple and efficient method based on smart wheels for real-time structural monitoring is proposed. Standardized load spectra prove to provide consistent results even when compared to real-time structural monitoring data. By means of the presented smart wheels, advanced lightweight motorcycle construction is enabled by derivation of standardized load spectra or real time estimation of the damage of structural components. View Full-Text
Keywords: smart wheel; structural monitoring; motorcycle; load spectra; fatigue; spectral method; damage estimation; prognostics smart wheel; structural monitoring; motorcycle; load spectra; fatigue; spectral method; damage estimation; prognostics
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MDPI and ACS Style

Ballo, F.; Comolli, F.; Gobbi, M.; Mastinu, G. Motorcycle Structural Fatigue Monitoring Using Smart Wheels. Vehicles 2020, 2, 648-674. https://0-doi-org.brum.beds.ac.uk/10.3390/vehicles2040037

AMA Style

Ballo F, Comolli F, Gobbi M, Mastinu G. Motorcycle Structural Fatigue Monitoring Using Smart Wheels. Vehicles. 2020; 2(4):648-674. https://0-doi-org.brum.beds.ac.uk/10.3390/vehicles2040037

Chicago/Turabian Style

Ballo, Federico; Comolli, Francesco; Gobbi, Massimiliano; Mastinu, Giampiero. 2020. "Motorcycle Structural Fatigue Monitoring Using Smart Wheels" Vehicles 2, no. 4: 648-674. https://0-doi-org.brum.beds.ac.uk/10.3390/vehicles2040037

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