- Advanced Multi-Objective Optimization Algorithms
- Probabilistic and Robust Engineering Design
- Optimal Experimental Design Methods
- Building Energy and Comfort Optimization
- Structural Integrity and Reliability Analysis
- Turbomachinery Performance and Optimization
- Refrigeration and Air Conditioning Technologies
- Heat Transfer and Optimization
- Statistical Distribution Estimation and Applications
- Risk and Safety Analysis
- Aerodynamics and Fluid Dynamics Research
- Wind and Air Flow Studies
- Ship Hydrodynamics and Maneuverability
- Advanced Numerical Analysis Techniques
- Computational Fluid Dynamics and Aerodynamics
- Color Science and Applications
- Topology Optimization in Engineering
- Robotic Mechanisms and Dynamics
- Impact of Light on Environment and Health
- Scientific Research and Discoveries
- 3D Shape Modeling and Analysis
- Infection Control and Ventilation
- Mechanical Engineering and Vibrations Research
- Model Reduction and Neural Networks
- Urban Heat Island Mitigation
AREA Science Park
2008-2021
European Space Research and Technology Centre
2010-2021
Vitenparken
2008
University of Trieste
2003-2006
This paper describes an application of Robust Design methodology in the transonic airfoil design. It has been observed that, minimizing drag at a single design point (Mach number and angle attack fixed), it is possible to find solutions characterized by poor offdesign performances (over-optimizing problem). For this reasons, stability inside range operative conditions important objective Once are defined (range Mach attack), Multi Objective approach ne eded; particular, two objectives be...
Performing a system level optimization involving large number of design variables and computationally expensive analysis is possible but not always practically feasible. Added to this, may lead very clear choice an optimum design. Choosing final from the results usually also requires decision making phase 1 where designers often have balance conflicting attributes (objectives variables). Moreover, process can be made more efficient if analyze problem characteristics priori use information...
The paper describes the optimization of a boomerang, simulating its trajectory by dynamic model coupled to CFD analysis compute aerodynamic coefficients. process flow and formulation is built within commercial integration software modeFRONTIER. design variables involved are primarily geometric parameters change shape boomerang. To steer complete optimization, from variation performance evaluation, modeFRONTIER Catia v5 for geometry modification mass properties MATLAB simulation,...
This paper investigates the influence of a stochastic variation both energy and economic parameters in an optimization loop applied to refurbished social housing building. Usually, procedures rely on results underlying numerical deterministic model which influences gains figures. However, analyst must always face random input parameter data. The unknown data can represent poor initial information or that change long time; this is case fuel cost indexes particular. deals with problems for...
Robust Design Optimization is the most appropriate approach to face problems characterized by uncertainties in operating conditions, that represent a crucial point of aeronautical research activities. The methodology illustrated this paper based on multi-objective approach: applying statistical definition stability, method finds, at same time, optimised solutions for performances and stability. Game Theory an innovative efficient numerical can be applied solve kind optimization problems. A...
Because of the recent COVID-19 pandemic, problem preventing and containing diffusion pathogens spread through air has become a main topic research. The is particularly important for specific environments, such as dental or other medical practices, where aerosol treatments in open-mouth patients, combined with closed crowded rooms, raise risk infection. As an efficient countermeasure, this study we propose solution that able to remove at source, aspiration neutralization bacterial load by...
In this article we describe a new method for the aerodynamic optimisation and inverse design problem resolution. This is based on coupling of classical optimiser with neural-network. A Navier–Stokes flow solver used an accurate computation objective function. At first neural-network, which has been trained by initial small database, to obtain, interpolation sensitivities, point, then computed in order update neural-network training database further iterative step. Since provides derivatives,...
The purpose of this work is to optimize the stator shape an axial compressor, in order maximize global efficiency machine, fixing rotor shape. We have used a 3D parametric mesh and CFX‐Tascflow code for flow simulation. To find out most important variables problem, we run preliminary series designs, whose results been analyzed by statistic tool. This analysis has helped us choose appropriate their ranges implement optimization algorithm more efficiently rapidly. For simulation fluid through...
Abstract The fluid dynamic design of hydrofoils involves most the typical difficulties aeronautical wings with additional complexities related to a device operating in multiphase environment. For this reason, “high fidelity” analysis solvers should be, general, adopted also preliminary phase. In case modern fast foiling sailing yachts, appendages accomplish both task lifting up boat and make possible upwind by contributing balance sail side force heeling moment. Furthermore, their operative...
This paper investigates the influence of a stochastic variation economic parameters in an optimization loop applied to refurbished social housing building. Usually energy and procedures rely on results underlying numerical deterministic model which influences both gains figures. However, are influenced by parameters, cannot be known advance especially if they can change during long period, such as fuels cost indexes. To overcome problem this robust approach for building refurbishment has...