Incorporating Bird Strike Crashworthiness Requirements within an MDO Framework

The present study, which was carried out in collaboration with GKN Fokker, focuses on incorporating bird strike crashworthiness requirements within a multidisciplinary optimization (MDO) framework. During the preceding three-month internship in the same company, a pivotal contribution to this project was the development of an Abaqus interface...

Multi-Fidelity Kriging Extrapolation: a novel surrogate modelling method for computer experiments using CFD, exploiting grid convergence

Surrogate modelling techniques such as Kriging are a popular means for cheaply emulating the response of expensive Computational Fluid Dynamics simulations. These surrogate models are often used for exploring a parameterised design space and identifying optimal designs. Multi-fidelity Kriging extends the methodology to incorporate data of...

Knowledge Based Engineering framework for preliminary spaceplane design

The concept of a spaceplane, a launch system that is a combination of an airplane and a rocket, is one of the most promising concepts of sustainable access to space. Along its trajectory, it experiences most extreme conditions with frequently opposing design requirements, making it one of the most complicated challenges in aerospace engineering....

A Reliability-Based Design Optimization Method for Geotechnical Engineering Problem Based On Active-Learning Kriging Metamodeling

Using an expensive-to-evaluate numerical model, such as a finite element method (FEM) model, is deemed unavoidable in solving modern geotechnical engineering problems. At the same time, the application of reliability analysis in dealing with uncertainties (e.g. soil properties) is increasing rapidly. This could pose a time-wise problem for an...

Digital Soil Mapping based on PDFs of Cone Penetration Tests and Vibro Cores using Image Processing and Machine Learning

Digital Soil Mapping (DSM) of soil types in geotechnical project areas is a top priority. These maps are often used in decision making and can have significant consequences related to costs and risks. Usually, these maps are generated by digital soil models that interpolate soil types at known locations. In practice, conventional spatial...

Wind Farm Layout Optimisation Under Uncertainty Using Surrogate Models

This research aims to develop a method to create a wind farm layout that is robust against the uncertainty source, the inter-year variation of Weibull parameters and wind direction sector probabilities. A wind farm layout optimisation problem under uncertainty corresponds to optimisation under uncertainty (OUU), which is computationally...

Multi-fidelity Co-Kriging Optimization using Hybrid Injected RANS and LES

The computation of complex turbulent flows design optimization processes is currently limited by the lack of accuracy of Reynolds-Averaged Navier-Stokes (RANS) in massively separated flows and the infeasible cost of multiple Large-Eddy Simulation (LES) evaluations. A novel method is presented, injecting data from LES or other high-fidelity...

Multi-fidelity Method for Aerodynamic Optimisation of Axial Compressor Blades

In turbomachinery optimisation problems, run time is often a critical factor due to high dimensionality of the design search space. This work explores the use of the multi-fidelity method to speed up an aerodynamic optimisation algorithm applied to axial compressor blades. A rotor blade is optimised in a two-stage blade geometry for maximum...

Groundwater and solute transport modelling study Vosdonk Noord at Etten-Leur: Examining the effect of two implementation methodologies for highly heterogenic shallow subsurface characteristics

The industrial site of Vosdonk Noord at Etten-Leur in the Netherlands consists of a large soil contamination in combination with highly heterogenic shallow subsurface soil characteristics. In this report, we study the groundwater flow and solute transport behaviour at this project location. Throughout this process, knowledge is gathered about...

Global Robust Optimization of Computationally Expensive Systems: A Lavel Rotor Suspended by Fluid Film Bearings

Kriging based methods enable the deterministic and robust optimization of computationally expensive systems. With a limited amount of function evaluations the optima are found in an iterative process with expected improvement as infill sampling criteria. Outputs of computer models can be stochastic and/or the models do not always succeed to...

Bepalen van luchtvervuiling bij wegen

Luchtvervuiling vooral veroorzaakt door het verkeer zorgt voor grote problemen in Nederland. Daarom moeten gemeenten ieder jaar rapport uitbrengen over de luchtvervuiling in hun gemeente. In een aantal punten kan de luchtvervuiling berekend worden door gebruik te maken van gecompliceerde modellen, maar om te bepalen waar precies de toegestane...