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Thomas Scholcz

Researcher

Research & Development

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Introduction

Experienced researcher with a demonstrated history of working in the research industry and academia. Strong professional skilled in data science uncertainty quantification numerical simulation and multidisciplinary design optimisation.My goal is to make ships cleaner smarter and safer aiming for blue oceans and a healthier environment.

Expertise areas
Publications
Paper
Prediction of short-term non-linear response using screening combined with multi-fidelity gaussian process regression

11 jun. 2023

Predicting wave impact design loads is crucial for ensuring safety and performance of maritime structures, but it is challenging due to the ...
Paper
Resistance and Seakeeping Optimization of a Naval Destroyer by Multi-Fidelity Methods

26 sep. 2022

The paper presents and discusses the so-called L3 sea benchmark problems used to develop and assess multi-fidelity optimization methods for military ...
Paper
Hull-Shape Optimisation Using Adaptive Multi-Fidelity Kriging

26 sep. 2022

The paper presents and discusses the development and assessment of an active learning multi-fidelity Kriging method for military vehicle design ...
Paper
Consistency assesment of wave directional spectrum predictions from machine learning based ship-as-a-wave-buoy methods

5 jun. 2022

Real-time knowledge of the ocean wave directional spectrum is valuable for maritime safety and navigation. When end-to-end machine learning is used ...
Paper
Ship As a Wave Buoy - Estimating Full Direction Wave Spectra From In-service Ship Motion Measurements Using Deep Learning

1 aug. 2020

The ocean wave directional spectrum is an important wave characteristic for maritime safety and navigation. Accurate estimation of directional ...
Paper
Surrogate-Based Multi-Objective Optimisation for Powering and Seakeeping

22 sep. 2019

Optimal operation during a ship’s life cycle requires a balance of economy and operability. For most vessel types, economy is related to fuel ...
Paper
Experimental investigation of the hydro-elastic behaviour of flexible composite propellers in non-uniform flow at model and full scale

26 mei 2019

In this paper, new developments in the measurement technology of the hydro-elastic response of flexible composite propellers are described. The ...
Paper
An assessment of multifidelity procedures for ship hull form optimisation

13 mei 2019

Progress in the assessment of multifidelity techniques for ship hull form optimisation at MARIN is described. Surrogate-based optimisation is used, ...
Paper
Data driven uncertainty quantification for computational fluid dynamics based ship design

13 mei 2019

Maritime transport is responsible for an annual emission of around 1000 million tonnes of CO2, which is around 2.5% of the global greenhouse gas ...
Paper
Multi-Objective Surrogate Based Hull-Form Optimization Using High-Fidelity RANS Computations

15 mei 2017

For a practical application it is shown that the computational time reduces from two weeks to only a day when using Surrogate Based Global ...
Paper
Wave Resistance Minimisation In Practical Ship Design

15 mei 2017

A practical and efficient system is described for ship hull form optimisation and its application for minimising wave resistance.
Paper
Ship optimization using viscous flow computations in combination with generic shape variations and Design of Experiments

4 sep. 2016

Today, optimization procedures based on CFD-computations are used more and more in practical ship design projects. Potential-flow solvers are used ...
Paper
Trim wedge optimization with viscous free surface computations

4 sep. 2016

Today, varying fuel prices and high competition in the maritime transport sector cause that shipyards continuously have to improve the design of ...
Paper
Multi-objective Hull-form Optimization Using Kriging on Noisy Computer Experiments

17 jun. 2015

Meta-modelling is a key technique for efficient multi-objective optimization in ship design projects using CFD. However, objective functions ...

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