Avatar

Khaled Boulbrachene

M.Sc. Computational Mechanics

Technical University of Munich

Biography

I am an Algerian graduate from the master program “Computational Mechanics” at the Technical University of Munich. The aim of the course is to learn how to solve mechanical problems with the help of numerical approximation methods, involving discretization of the underlying equations in both space and time. During my studies, I have developed a profound knowledge in Finite Element Analysis, Material Modeling, Structural Optimization and Computational FLuid Dynamics. Currently, I am keen to get more exposed to innovative projects through employment or PhD studies.

Interests

  • Numerical Analysis
  • Finite Element Analysis
  • Computational Fluid Dynamics
  • Fluid Structure Interaction

Education

  • M.Sc. in Computational Mechanics, 2020

    Technical University of Munich

  • B.Eng. in Mechanical Engineering, 2016

    Sultan Qaboos University

Skills

Python

90%

MATLAB

90%

C++

70%

LateX

90%

Linux

70%

Git

80%

Experience

 
 
 
 
 

Research Associate

Department of Fluid Mechanics, University of Federal Armed Forces Hamburg

Jun 2020 – Present Hamburg, Germany
Modeling and implementation of methods for injecting turbulent wind gusts into computational domains and the study of their dynamic effects on structures by the means of high-resolution simulations.
 
 
 
 
 

Work Student

Mecuris GmbH

Jun 2019 – Apr 2020 Munich, Germany
Quality assurance of 3-D printed prosthetic feet by means of Finite Element simulations, Meta-models of Optimal Prognosis (MOP) and optimization.
 
 
 
 
 

Student Assistant

Chair of Structural Mechanics – Technical University of Munich

Nov 2018 – Apr 2019 Munich, Germany
Development of a Wavelet Transform online interactive application.
 
 
 
 
 

Research Assistant

Qatar University

Mar 2017 – May 2017 Doha, Qatar
Mathematical modelling to numerically analyze the impact of lateral and torsional vibrations on horizontal drill pipes.
 
 
 
 
 

Research Assistant

Sultan Qaboos University

Oct 2016 – Dec 2016 Muscat, Oman
Numerical analysis to evaluate the effective properties of smart composite materials.

Publications

Drillstring Failure - Identification, Modeling and Experimental Characterization

Drilling is one of the costliest and risky activities in oil and gas industry due to complexity of interactions with downhole …

Modeling and Experimental Investigations of Drill Pipe Failure

During drilling operations, drill string interacts continuously with rock formation, which result in severe shock and vibrations. …