Franziska Seeber

Forschungslaboratorium Holz

Standort Schwabing-West

Tel. +49 89 2180 6582

seeber@hfm.tum.de

Zur Person

seit 2021

Doktorandin am Lehrstuhl für Holztechnologie, Technische Universität München

2018 – 2020

Master of Science (M.Sc.) in Bauingenieurwesen, Technische Universität München

2017

Auslandssemester an der University of Bath

2014 – 2017 Bachelor of Science (B.Sc.) in Bauingenieurwesen, Technische Universität München
2014 Matura am Nicolaus-Cusanus Gymnasium in Bruneck

 

Forschungsschwerpunkte

Numerical modeling of mechanical properties and failure of wood including local material properties

Forschung

Multi-fidelity Failure Modeling and Optimization for Natural Fiber Structures in Complex Environments

IGSSE project FaiMONat:
https://www.igsse.gs.tum.de/en/igsse/projects-and-teams/igsse-call-projects/14th-cohort/1409-faimonat/

Veröffentlichungen

  • Seeber, Franziska; Khaloian-Sarnaghi, Ani; van de Kuilen, Jan-Willem: A numerical strength prediction approach for wood using elementwise local fiber directions from laser scanning. Materials & Design 2023, doi.org/10.1016/j.matdes.2022.111578
  • Seeber, Franziska; Khaloian-Sarnaghi, Ani; van de Kuilen, Jan-Willem: Strength prediction and failure modeling of wood based on local material properties. 8th European Congress on Computational Methods in Applied Sciences and Engineering, 2022
  • Czech, Catharina; Seeber, Franziska; Khaloian Sarnaghi, Ani; Duddeck, Fabian: Quantification of spatial inhomogeneous material properties: Wooden laser scanned fibre deviations modelled by Gaussian processes. 8th European Congress on Computational Methods in Applied Sciences and Engineering, 2022
  • Czech, Catharina; Seeber, Franziska; Duddeck, Fabian; Khaloian Sarnaghi, Ani: Efficient uncertainty quantification for wood structures with inhomogeneous material properties via reduced order modeling. 1st International Conference on Computations for Science and Engineering, 2021