sensitivity analysis

Guideline Identification for Optimization under Uncertainty through the Optimization of a Boomerang Trajectory

In this paper we address the process of optimization under uncertainty (OUU) through the optimization of a boomerang trajectory. All the simulations were done with the modeFRONTIER integration platform for multiobjective and multidisciplinary optimization. To reduce the computational cost, we consider variable screening as a preliminary step before performing a stochastic optimization. For the latter we use a method that combines robustness and reliability assessments within a single optimization run. 

CFD Based Response Surface Modeling with an Application in Missile Aerodynamics

In this study, steps of Computational Fluid Dynamics based reliable Response Surface Model generation are explained by applying the methods to a missile designed in Aselsan Inc. In order to generate RSMs, design of  experiment is made by using modeFRONTIER. The aim here is obtaining the aerodynamic database of the missile with a small error range in a short time period.

Application of the Mixed Integer Linearized Exergoeconomic (MILE) method with evolutionary optimization to a cogeneration and district heating system

This project aims to optimize a complex cogenerative system, which is a highly efficient form of energy conversion combining heat and power production (CHP). The problem was formulated as a bi-level linear programming problem using the commercial optimization software modeFRONTIER integrated with FICO® Xpress Optimization Suite.  

A Parametric Optimization Approach to Mitigating the Urban Heat Island Effect A Case Study in Ancona, Italy

This research was conducted in order to identify the mutual dynamic relationships between different attributes of the urban morphology and meteorological parameters of a Mediterranean city. Analysis of the case study of Ancona, Italy allowed various city parameters to be tested for sustainability and their effectiveness in mitigating the urban heat island effect with the use of modeFRONTIER NSGA-II algorithm.

Design of Radial Turbines Operating in the Organic Rankine Cycle Using Optimization and CFD

This thesis proposes a methodology for the development of an appropriate tool for the design of radial turbines that are used in subcritical Organic Rankine Cycles (ORC). The integration of CFD techniques, construction of response surfaces using Radial Basis Function (RBF) and genetic algorithms form the proposed design process.

UTOPIAE (Uncertainty Treatment and OPtimisation In Aerospace Engineering)

UTOPIAE is a training and research network funded by the European Commission through the H2020 funding stream. The main objectives of this network are to train, by research and by example, 15 Early Stage Researchers (ESRs) in the field of Uncertainty Quantification (UQ) and Optimization and to impart them the skills to become leading independent researchers and entrepreneurs that will increase the EU innovation capacity.


The DoubleFace 2.0 project develops a new type of Trombe wall system that improves the thermal comfort by using new lightweight and translucent materials for latent heat storage. The design process includes Sensitivity and Multi-Variate Analysis performed in modeFRONTIER to investigate the effect of input parameters.

Sensitivity analysis of CFD method with modeFRONTIER

In this thesis, the development of a new defroster duct system prototype is carried out. The suitability of using modeFRONTIER for sensitivity analysis has been investigated coupling ANSYS/FLUENT as a main solver. To study the numerical solution of the windscreen de-icing process, a computational fluid dynamics (CFD) method has been used. 

Multi-objective optimization of oblique turning operations

Multi-objective optimization of oblique turning operations while machining AISI H13 tool steel has been carried out in this study using the FEM method and modeFRONTIER's multi-objective genetic algorithm MOGA-II. The objective is to minimize main cutting force (force component in the cutting speed direction) and tool–chip interface temperature as both are prime contributors for the machining performance in terms of tool wear and surface integrity of the workpiece.