SvdB
Dr.ir. S. F. van den Broek

About

Sander van den Broek

Dr.ir. · Founder · Computational mechanics engineer

Computational mechanics engineer specialising in the stochastic and nonlinear analysis of thin-walled and composite structures, surrogate modelling, and expert engineering-mechanics data for AI.

Background

Structural mechanics, uncertainty and machine learning

Based in
The Netherlands
Education
Dr.-Ing., Leibniz Universität Hannover
MSc Mechanical Engineering, TU Delft
Current roles
R&D Engineer, Netherlands Aerospace Centre (NLR)
Honorary Senior Research Associate, University of Bristol

Sander van den Broek works where structural analysis, uncertainty and machine learning meet. He founded Van den Broek Computational Mechanics to offer this expertise to engineering teams and AI developers.

He studied mechanical engineering at Delft University of Technology, with an MSc thesis on aeroelastic analysis of wind turbines. His doctorate at the Institute of Structural Analysis, Leibniz Universität Hannover, supervised by Prof. Raimund Rolfes, turned the random variations that normally weaken structures into a design tool. Sensitivity patterns from random-field analyses guide changes in thickness, stiffness or fibre paths that raise buckling loads, improve post-buckling behaviour and extend fatigue life. The research was funded by the EU Marie Skłodowska-Curie network FULLCOMP and the DFG Cluster of Excellence SE²A.

At the Bristol Composites Institute, University of Bristol, he developed higher-order finite elements for wind turbine blades (with the Offshore Renewable Energy Catapult) and Gaussian-process surrogates for landing-gear design loads (with Airbus). He is an Honorary Senior Research Associate at Bristol and an R&D engineer in computational mechanics of structures at the Netherlands Aerospace Centre (NLR).

He also creates engineering-mechanics data for training and evaluating language models, and wrote abq2ccx, an open-source Abaqus-to-CalculiX converter.

Career

Experience & education

  1. Current

    Founder

    Van den Broek Computational Mechanics

    Computational mechanics consulting, AI for simulation and engineering-mechanics data for language models.

  2. Since 2026

    R&D Engineer

    Netherlands Aerospace Centre (NLR), Amsterdam

    Computational mechanics, mainly of structures.

  3. Current

    Honorary Senior Research Associate

    University of Bristol

  4. 2021 – 2026

    Postdoctoral researcher

    Bristol Composites Institute, University of Bristol

    Nonlinear analysis of wind turbine blades with variable-kinematics finite elements (with the Offshore Renewable Energy Catapult); surrogate modelling of landing-gear design loads (with Airbus).

  5. 2016 – 2023

    Doctoral researcher · Dr.-Ing.

    Institute of Structural Analysis, Leibniz Universität Hannover

    Thesis: Tailoring structures using stochastic variations of structural parameters (2023). EU Marie Skłodowska-Curie network FULLCOMP and DFG Cluster of Excellence SE²A; research visit to the University of Bristol.

  6. 2010 – 2013

    MSc Mechanical Engineering

    Delft University of Technology

    Thesis: Towards high-fidelity aeroelastic analysis of wind turbines: coupling and verification.

Expertise

Methods & domains

  • Nonlinear finite element analysis
  • Buckling & post-buckling
  • Thin-walled & composite structures
  • Fibre steering
  • Random fields
  • Monte Carlo methods
  • Uncertainty quantification
  • Sobol sensitivity analysis
  • Gaussian processes
  • Surrogate modelling
  • Robust design
  • Additive manufacturing
  • Fatigue
  • Higher-order finite elements
  • Aircraft loads
  • Wind turbine blades
  • LLM training data

Co-authors include engineers and researchers from Airbus, DLR (German Aerospace Center), the Offshore Renewable Energy Catapult and the National Composites Centre, as well as the universities of Bristol, Hannover and Limerick.

Open source · MIT licence

abq2ccx

Converts Abaqus input decks for the open-source CalculiX solver. It expands mesh-generation cards, flattens part/instance assemblies, translates keywords, elements and materials, and reports anything CalculiX cannot run instead of dropping it. Dependency-free Python 3, validated against NAFEMS benchmarks and 1,022 test decks.

View on GitHub

Next step

Let’s talk about your project

A structure to analyse, a surrogate to build or a dataset to create: a short call is the best place to start.