STAFF PROFILE
Professor Pier Marzocca
Position:
Director, Sir Lawrence Wackett Aerospace Research Centre
College / Portfolio:
STEM College
School / Department:
STEM|Research & Innovation
Phone:
+61399256061
Email:
pier.marzocca@rmit.edu.au
Campus:
Bundoora East
Contact me about:
Research supervision
- Chen, D.,Xu, R.,Yuan, Z.,Pan, G.,Marzocca, P. (2023). The effect of vortex induced vibrating cylinders on airfoil aerodynamics In: Applied Mathematical Modelling, 115, 868 - 885
- Thangavel, K.,Spiller, D.,Sabatini, R.,Marzocca, P.,Esposito, M. (2023). Near Real-time Wildfire Management Using Distributed Satellite System In: IEEE Geoscience and Remote Sensing Letters, 20, 1 - 5
- Candon, M.,Levinski, O.,Ogawa, H.,Carrese, R.,Marzocca, P. (2022). A nonlinear signal processing framework for rapid identification and diagnosis of structural freeplay In: Mechanical Systems and Signal Processing, 163, 1 - 29
- Candon, M.,Esposito, M.,Fayek, H.,Levinski, O.,Koschel, S.,Joseph, N.,Carrese, R.,Marzocca, P. (2022). Advanced multi-input system identification for next generation aircraft loads monitoring using linear regression, neural networks and deep learning In: Mechanical Systems and Signal Processing, 171, 1 - 25
- Candon, M.,Fayek, H.,Koschel, S.,Levinski, O.,Marzocca, P. (2022). Recent Developments in the Implementation of a Bidirectional LSTM Deep Neural Network for Aircraft Operational Loads Monitoring In: Proceedings of the AIAA Scitech 2022 Forum, San Diego, California, United States, 3-7 January 2022
- Koschel, S.,Candon, M.,Fayek, H.,Marzocca, P.,Levinski, O. (2022). Data-Driven Flight Load Prediction using Modal Decomposition Techniques In: Proceedings of the AIAA Scitech 2022 Forum, San Diego, California, United States, 3-7 January 2022
- Chen, D.,Gu, C.,Marzocca, P.,Yang, J.,Pan, G. (2022). Dynamic modeling of rotating blades system based on transfer matrix method of multibody system In: Applied Mathematical Modelling, 105, 475 - 495
- Scott, M.,Verhagen, W.,Bieber, M.,Marzocca, P. (2022). A Systematic Literature Review of Predictive Maintenance for Defence Fixed-Wing Aircraft Sustainment and Operations In: Sensors, 22, 1 - 31
- Delgado-Gutierrez, A.,Marzocca, P.,Cardenas, D.,Probst, O.,Montesinos-Castellanos, A. (2022). An efficient implementation of the graphics processing unit-accelerated single-step and simplified lattice Boltzmann method for irregular fluid domains In: Physics of Fluids, 34, 1 - 18
- Koschel, S.,Carrese, R.,Joseph, N.,Candon, M.,Marzocca, P.,Levinski, O. (2021). Automatic Operational Modal Analysis of Flight Test Data Using a Modal Decomposition In: AIAA Journal, 59, 4043 - 4056
- Vehicle NVH Mode Shape Classification Using Machine Learning. Funded by: Ford Motor Company Grant - Competitive from (2022 to 2024)
- Root cause identification and solution for the leaks in composite cases. Funded by: Thales Australia Ltd Contract from (2022 to 2022)
- Aircraft Structural Prognostics and Health Management for Australian Defence Force Sustainment (PhD student: Michael Scott). Funded by: Defence Science Institute Research Higher Degree Student Grant 2017 from (2022 to 2025)
- Development of Innovative High-Fidelity Platform for Structural Diagnostics and Prognostics. Funded by: Defence Science and Technology Group - Contract from (2021 to 2025)
- Development and Test of MAPRad for Space Applications (Administered by CD3D). Funded by: Australian Space Agency - Competitive from (2021 to 2022)
Note: Supervision projects since 2004
23 PhD Current Supervisions5 PhD Completions and 3 Masters by Research Completions
Aeroelasticity, Flow-Structure-Interaction, Active/Passive Control, Structural dynamics, Aerodynamics, Solid/Fluid mechanics, UAV, Composite structures, Advanced materials and smart structures, Modelling and simulation, ROMs