Dr Zou obtained a First Class Honours degree in Aeronautical (Space) Engineering from The University of Sydney. He then completed a PhD in Aeronautics at Imperial College London. Currently, he is working as a research associate in the Non-Destructive Evaluation Group in the Department of Mechanical Engineering.
Dr Zou is both a computationalist and an experimentalist. During his PhD, he formulated numerical models of piezoelectric smart structures, and applied them to simulating structural health monitoring applications. He also developed damage detection algorithms for aircraft structures. Furthermore, he established in the Department of Aeronautics a structural health monitoring laboratory which now houses many EU research projects. As a research associate, Dr Zou is currently working on corrosion monitoring and charaterisation, in the nanometer range, with ultrasound. He has recently completed an industrial project which aimed at inventing a field technique for the detection of high-temperature induced defects.
Dr Zou's research interest includes non-destructive evaluation, structural health monitoring, smart structures, advanced transducer technologies, and numerical methods. He has always been keen on conducting collaborations in these areas.
Zou F, Cegla F, High Accuracy Ultrasonic Corrosion Rate Monitoring, Corrosion, ISSN:0010-9312
Zou F, Aliabadi MH, 2017, On modelling three-dimensional piezoelectric smart structures with boundary spectral element method, Smart Materials and Structures, Vol:26, ISSN:0964-1726
Zou F, Benedetti I, Aliabadi FMH, 2017, Dual Boundary Element Model of 3D Piezoelectric Smart Structures, Key Engineering Materials, Vol:754, Pages:363-366
Zou F, Cegla FB, 2017, High accuracy ultrasonic monitoring of electrochemical processes, Electrochemistry Communications, Vol:82, ISSN:1388-2481, Pages:134-138
Zou F, Aliabadi MH, 2015, A boundary element method for detection of damages and self-diagnosis of transducers using electro-mechanical impedance, Smart Materials and Structures, Vol:24, ISSN:0964-1726