Lennart Paul

Lennart Paul

Lennart Paul, M.Sc.

Lennart Paul

Research associate

Room 120
Beethovenstr. 51b
38106 Braunschweig

Phone: +49 (0)531 391 62016

E-Mail:  lennart.paul(at)tu-braunschweig.de

Curriculum vitae

Since 2023
TU Braunschweig, Institute of Geomechanics and Geotechnical Engineering,
Research associate

2020 - 2023
Civil Engineering - Master, TU Braunschweig
Master thesis (IGG): Flat bedded rock salt: Investigation of the fracture behavior and its dependence on the angle of incidence by means of triaxial compression tests

2016 - 2020
Civil Engineering - Bachelor, TU Braunschweig
Bachelor thesis (IBMB): Entwurf und Bemessung eines Stahlbetonbauwerks

Areas of work

  • Rock, salt and geomechanics
  • Numerical methods in geotechnical engineering
  • Repository and disposal concepts
  • Supervised machine learning

Teaching

  • Numerical methods in geotechnical engineering (Master program)
  • Underground cavity construction (Master program)
  • Tunnel construction (Bachelor program)
  • Supervision of student research projects, bachelor and master theses

Research projects

  • SEMOTI - Development of a self-learning modeling methodology for geomechanical and geotechnical processes using the example of the planning and excavation phase of an emplacement drift of a deep geological repository

Publications

2025

Paul, L.; Urrea-Quintero, J.-H.; Fiaz, U. & Stahlmann, J. (2025).
Machine-learning enabled model calibration in the context of digital twinning of an emplacement drift in rock salt.
In: Sobolik, S., Ingraham, M., Matteo, E., Mills, M., Ross, T., Conley, D., & Stormont, J. (Eds.). (2025). The Mechanical Behavior of Salt XI (1st ed.). CRC Press. https://doi.org/10.1201/9781003637349. P. 268-278.

Paul, L.; Urrea-Quintero, J.-H.; Fiaz, U.; Hussein, A.; Yaghi, H.; Stahlmann, J.; Römer, U. & Wessels, H. (2025).
Gaussian Processes enabled model calibration in the context of deep geological disposal.
Data-Centric Engineering, 6, e26. https://doi.org/10.1017/dce.2025.17.

2024

Paul, L.; Fiaz U. & Stahlmann, J. (2024).
SEMOTI - Entwicklung einer selbstlernenden Modellierungsmethodik für die Einlagerungsstrecke eines Tiefenlagers.
In: Röhlig, K.-J. (Hrsg.). 4. Tage der Standortauswahl 18./19.04.2024 in Goslar. https://doi.org/10.21268/20240416-1, S.126-127, Clausthal-Zellerfeld.

Memberships

  • Deutsche Gesellschaft für Geotechnik e.V. (DGGT)
    Fachsektionen Bodenmechanik, Erd- und Grundbau