Identification of strainrate dependent hardening sensitivity of metallic sheets under in-plane biaxial loading
The objective of this thesis was to propose biaxial tensile tests on a cruciform specimen to identify strain-rate dependent hardening models of sheet metals from quasi-static to intermediate strain rates. The in-plane biaxial testing procedures and parameter identification strategy have been validated on AA5086 and applied to identify rate-dependent hardening laws for DP600 steel. The optimization procedure was carried out in modeFRONTIER.
A CFD-based multidisciplinary optimization of aeroelastic systems with coupled reliability constraints
Designing aeroelastic systems with maximum reliability is studied in this paper using an AGARD 445.6 aircraft wing. Applications of RBDO techniques with a multidisciplinary code coupling approach based on high-fidelity CAD, CFD and CSD softwares and fluidstructure interface is presented with the aim of constructing a fully automatic design framework for aeroelastic optimization problems.
Application of Optimization Methodology and Specimen Speciﬁc Finite Element Models for Investigating Material Properties of Rat Skull
This study represents a preliminary effort in the development and validation of FE models for the rat skull used to predict the reaction of traumatic brain injuries (TBI) in humans. modeFRONTIER automatically updated input parameters and submitted new keyword files to LS-DYNA, which ran in MPP mode, to reduce the time needed in completely the task. This same method can be used to other reverse engineering procedures to obtain accurate material parameters for FE models development.
Multi-level approaches for optimal system design in railway applications
The focus of this thesis is centered on the optimal design of complex systems. Two main optimization approaches are addressed in this work: the metamodel‐based design optimization and the decomposition‐based complex systems optimal design.
Multi-objective Optimization of Low-floor Minibus Suspension System Parameters
This paper describes improvements and interaction of multi-objective optimization and simulation tools for the analysis of suspension system kinematics and vehicle dynamics in the conceptual phase of low-floor minibus development. Achieving optimum parameters of the vehicle at this stage of development reduces the possibility of wrong solutions or concepts. Suspension system development process is a challenging task due to the existence of many influential parameters, complex and often conflicting objectives related to stability, handling, ride comfort and other aspects of vehicle dynamics.
modeFRONTIER - Status of design optimisation at EADS-M
An insight will be provided on the use of evolutionary algorithms for shape and performance optimization in the filed of aeronautics.Results will be shown for 2D and 3D application with emphasis on the use of sophisticated analysis methods solving the governing flow equations.
The MDO experience at Embraer with modeFrontier
Multi-disciplinary optimization has a major role in the aerospace industry due to great competition, high costs and conflicting objectives. Owing to modeFRONTIER, Embraer managed to create an integrated high-fidelity analysis environment, bringing about significant benefits in product application.
Three-dimensional inverse design of axial compressor stator blade using neural networks and direct Navier-Stokes solver
In this paper we describe a new method for the aerodynamic optimisation and inverse design problem resolution. This method is based on the coupling of a gradient-based l optimiser with a neural network. A Navier-Stokes flow solver is used for an accurate computation of the objective function.
Reliability Based Structural Optimization of an Aircraft Wing
In this work, a reliability based design optimization methodology is proposed by implementation of a homemade RBDO code based on Reliability Index Approach (RIA) into a structural optimization framework composed in the modeFRONTIER® optimization tool. The presented work shows good results when compared to the deterministic optimization results of the same problem studied formerly.
Analysis of buckling and structural optimization of low-pressure turbine casing for a civil airplane engine
The principal aim of this work is the optimization of the casing geometry in order to reduce the structural weight, increasing the resistance to the buckling collapse. We will use the FEM model choosing opportunely some geometric parameters, to define the design--space of possible geometric cross-section shapes. We operate the optimization under the worst load case chosen between the estimated work conditions.