The role of modelling and numerical analysis of mechanical systems has acquired considerable importance in almost all areas of engineering in recent decades.
This is particularly true in aerospace engineering, where it is now common practice to use computational approaches to study both continuous and discrete mechanical systems in both academic research and industry.
Correct modelling of mechanical systems is essential in the design of aerospace systems because of the need for an accurate assessment of their behaviour while simultaneously requiring a reduction in the computational burden.
Concerning continuous mechanical systems, the focus is on modelling materials, fluid-dynamic phenomena and fluid-structure interactions, also taking into account any scaling or multi-physics phenomena.
Numerical modelling and analysis of discrete mechanical systems are instead used i) to predict the dynamic behaviour of interacting multi-domain components (also taking into account the operating environment and uncertainties) and ii) to design optimal control systems by using heuristic algorithms based on the social behaviour of flocks.
The MAN Numerical Modelling and Analysis laboratory is equipped with high-performance workstations and programming and calculation software for research activities such as Matlab®, Ansys®, Comsol Multiphysics® and LabVIEW.
The numerical modelling and analysis laboratory is also used for teaching activities for students on the Aerospace Engineering degree course, as part of the ‘Aerodynamics’, ‘Flight Mechanics’, ‘Aerospace Systems’, ‘Aerospace Constructions and Structures’ and ‘Principles of Flight Simulation’ courses.
Activities also include implementing and analysing numerical models as part of internships and dissertations.
The Numerical Modelling and Analysis laboratory is under the responsibility of Prof. Calogero Orlando, associate professor in the scientific-disciplinary sector ING-IND/05 Aerospace Systems and Systems.
In addition to being the head of the laboratory, all the lecturers in the core subjects of the Aerospace Engineering degree course also report to the laboratory.
The research activities carried out at the MAN laboratory are interdisciplinary and range from mathematical modelling to the computational analysis of problems typical of aerospace science.
The main research projects and activities supported by the MAN laboratory are listed below.
SIADD “Innovative solutions for quality and sustainability of ADDitive manufacturing processes” PON “Research and Innovation” 2014-2020, funded by the Ministry of Education, University and Research.
Scope of Specialisation: Intelligent Factory.
DAVYD “Development of innovative technologies for control surfaces and landing gear implementation” PON “Research and Innovation” 2014-2020, funded by the Ministry of Education, University and Research.
Scope of Specialisation: Aerospace.
CASTLE “CAbin Systems design Toward passenger welLbEing” Clean Sky II.
Consulting activities for the Polytechnic of Turin.
In the field of system dynamics, the research activities carried out in the laboratory related to:
The modelling and analysis of landing gear for studying vibrations and active and adaptive control systems for damping them.
Nose Landing Gear Simple Adaptive Shimmy Suppression System | Journal of Guidance, Control, and Dynamics robust active control system for shimmy damping in the presence of free play (Advances in Engineering)
Modelling and analysis of active and adaptive flutter control systems using piezoelectric actuators
Modelling and analysis of adaptive and fault-tolerant flight control systems
The study of optimal and adaptive control systems
Stochastic Monte Carlo robustness analysis of system robust active control system for shimmy damping in the presence of free play
Heuristic optimisation based on social models of flocks
The creation of trajectory simulators also for educational purposes
Modelling and analysis of human body response in turbulence conditions
In the area of continuous and structural systems, computational modelling of metal solids made in additive manufacturing is carried out for
study the influence of porosity on mechanical response;
simulate static, fatigue, creep and fracture behaviour
to study new and efficient beam modelling approaches of latex structures.
In the structural field, modelling and analysis activities are also carried out on composite laminates with variable fibre angle and viscoelastic layers to dampen vibrations and reduce noise transmission inside the fuselage.
Work Station 1
Operating SystemWindows 10 Pro for Workstations 64-bit
CPUIntel Xeon Gold 5222 @ 3.80GHz Cascade Lake 14nm Technology
Intel Xeon Gold 5222 @ 3.80GHz Cascade Lake 14nm Technology
2022 Alaimo, A., Esposito, A., Faraci, P., Orlando, C., & Valenti, G. D. (2022).
Human heart-related indexes behavior assessment for aerospace human-machine systems.
Orlando, C., & Ricciardello, A.(2021).
Analytic solution of the continuous particle swarm optimisation problem.
Optimization Letters, 15(6), 2005-2015.
Alaimo, A., Orlando, C., & Valvano, S.(2021).
Analytical higher-order-theories for noise reduction analysis of viscoelastic composite multilayered shells.
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 235(14), 2629-2636.
Vindigni, C. R., Orlando, C., & Milazzo, A.(2021).
Computational Analysis of the Active Control of Incompressible Airfoil Flutter Vibration Using a Piezoelectric V-Stack Actuator.
Vibration, 4(2), 369-394 .
Vindigni, C. R., & Orlando, C.(2020).
A Gain Scheduling Control of Incompressible Airfoil Flutter Tuned by the Population Decline Swarm Optimizer—PDSO.
Aerotecnica Missili & Spazio, 1-14.
Alaimo, A., Orlando, C., & Valvano, S.(2019).
An alternative approach for modal analysis of stiffened thin-walled structures with advanced plate elements.
European Journal of Mechanics- A/Solids, 77, 103820.
Alaimo, A., Orlando, C., & Valvano, S.(2019).
Analytical frequency response solution for composite plates embedding viscoelastic layers.
Aerospace Science and Technology, 92, 429- 445.
Valvano, S., Alaimo, A., & Orlando, C.(2019).
Sound transmission analysis of viscoelastic composite multilayered shells structures.
Aerospace, 6(6), 69.
Valvano, S., Orlando, C., & Alaimo, A.(2019).
Design of a noise reduction passive control system based on viscoelastic multilayered plate using PDSO.
Mechanical Systems and Signal Processing, 123, 153-173.
Alaimo, A., Esposito, A., & Orlando, C.(2019).
P D SO tuning of PFC-SAC fault tolerant flight control system.
Advances in aircraft and spacecraft science, 6(5), 349-369.
Alaimo, A., Esposito, A., Orlando, C., & Tesoriere, G.(2018).
A Pilot mental workload case study in a Full Flight Simulator.
Aerotecnica Missili & Spazio, 97(1), 27-33.
Orlando Calogero, Alaimo Andrea (2017).
A robust active control system for shimmy damping in the presence of free play and uncertainties.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, vol.84, p. 551-569, ISSN:888-3270, doi:10.1016/j.ymssp.2016.07.038
Alaimo Andrea, Davì Giuseppe, Milazzo Alberto, Orlando Calogero (2017).
Analytical solution for composite layered beam subjected to uniformly distributed load.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES, p. 1-10, ISSN:1537-6494, doi:10.1080/15376494.2016.1227512
Ricciardello Angela, Orlando Calogero, Milazzo Cristina L. R., Artale Valeria (2017).
Comparison of GA and PSO approaches for the direct and LQR tuning of a multirotor PD controller.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, vol.13, p. 32, ISSN:1547-5816, doi:10.3934/jimo.2017032
Alaimo A, Artale V, Barbaraci G, Milazzo C.L.R, Orlando C, Ricciardello A (2016).
LQR-PID control applied to hexacopter flight.
JOURNAL OF NUMERICAL ANALYSIS, INDUSTRIAL AND APPLIED MATHEMATICS, vol.9-10, p. 47-56, ISSN:1790-8140
Alaimo Andrea, Milazzo Alberto, Orlando Calogero (2016).
Nonlinear model based particle swarm optimisation of PID shimmy damping control.
ADVANCES IN AIRCRAFT AND SPACECRAFT SCIENCE, vol.3, p. 211-224, ISSN:2287-528X, doi:10.12989/aas.2016.3.2.211
Alaimo A., Milazzo A., Orlando C. (2016).
A smart composite-piezoelectric one-dimensional finite element model for vibration damping analysis.
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, vol. 27 (10), p. 1362-1375, ISSN: 1045-389X, doi: 10.1177/1045389X15591380
The laboratory offers external services i) in the field of numerical-computational modelling and analysis of dynamic, multi-physics systems, both continuous and with concentrated parameters; ii) in the field of heuristic optimisation; iii) in the model-based design of control systems; iv) in the verification of model robustness.