Zahra Sharif Khodaei is a reader (Associate Professor) in structural integrity. She obtained her PhD from Czech Technical University in Prague in numerical modelling of functionally graded materials in 2008. Prior to her lectureship post in 2014, she was a research associate at Imperial College London, department of Aeronautics since 2009 where she conducted research in fatigue modelling and analysis of metallic and Fibre Metallic Laminates (FML) and more significantly in developments of technologies and methodologies for Structural Health Monitoring (SHM) of composite structures.
et al., 2022, Statistical inference of the Equivalent Initial Flaw Size Distribution for an anisotropic material with the Dual Boundary Element Method, International Journal of Fatigue, Vol:158, ISSN:0142-1123
Lambinet F, Khodaei ZS, 2022, Measurement platform for structural health monitoring application of large scale structures, Measurement, Vol:190, ISSN:0263-2241
Giannakeas I, Sharif Khodaei Z, Aliabadi MH, 2022, Structural health monitoring cost estimation of piezo-sensorized aircraft fuselage, Sensors, Vol:22, ISSN:1424-8220, Pages:1-21
Giannakeas IN, Khodaei ZS, Aliabadi MH, 2022, Digital clone testing platform for the assessment of SHM systems under uncertainty, Mechanical Systems and Signal Processing, Vol:163, ISSN:0888-3270, Pages:1-20
Buchinger V, Sharif Khodaei Z, 2021, Vacuum assisted resin transfer moulding process monitoring by means of distributed fibre-optic sensors: a numerical and experimental study, Advanced Composite Materials, ISSN:0924-3046