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Xiaoyuan's main interests concentrate on the railway related fields
Dr. Xiaoyuan Liu joined the Institute of Railway Research (IRR), at University of Huddersfield as an Industrial Fellow in 2016.
He obtained his Master’s degree on Vehicle Engineering from the State Key Laboratory of Traction Power (TPL), Southwest Jiaotong University in 2012.
In 2016, he finished his PhD degree in Applied Mechanics from the Dipartimento di Meccanica, Politecnico di Milano (PoliMi). During his PhD and Masters, he participated in several fundamental research projects within the railway industry, including the condition monitoring of vehicle suspension systems and wheel out-of-roundness (OOR)
He accomplished his PhD degree with the financial support by ‘Associazione Eugenio e Germana Parizzi’, a railway dedicated foundation, from 2013 to 2015.
Liu, X., Alfi, S. and Bruni, S. (2016) ‘An efficient recursive least square-based condition monitoring approach for a rail vehicle suspension system’ Vehicle System Dynamics , 54 (6), pp. 814-830. ISSN 0042-3114
Liu, X. and Zhai, W. (2014) ‘Analysis of vertical dynamic wheel/rail interaction caused by polygonal wheels on high-speed trains’ Wear , 314 (1-2), pp. 282-290. ISSN 0043-1648
Liu, X., Alfi, S. and Bruni, S. (2016) ‘An efficient condition monitoring strategy of railway vehicle suspension based on recursive least-square algorithm’. In: Proceedings of the 24th Symposium of the International Association for Vehicle System Dynamics. Graz, Austria: Taylor & Francis. p. 861. ISBN 978-1-4987-7702-5
Liu, X., Alfi, S. and Bruni, S. (2014) ‘Condition monitoring of rail vehicle suspension based on recursive least-square algorithm’. In: Proceedings of the 14th mini conference on vehicle system dynamics, identification and anomalies : VSDIA 2014. Budapest: Budapest University of Technology and Economics. pp. 47-54. ISBN 9789633131862
Liu, X., Zhai, W. and Bruni, S. (2013) ‘Analysis of dynamic wheel/rail interaction caused by measured out-of-round railway wheels’. In: 23rd International Symposium on Dynamics of Vehicles on Road and Tracks (IAVSD), 19th-23rd August 2013, Qingdao, China
Dr. Xiaoyuan Liu gave a keynote presentation entitled ‘An efficient condition monitoring strategy of railway vehicle suspension based on recursive least-square algorithm’ at the 24th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD), 17-21 August 2015, Graz, Austria.
He is also a reviewer of two leading academic journals: Vehicle System Dynamics and International Journal of Rail Transportation.