• Hauptnavigation
  • Unternavigation
  • Inhalt
  • Suche
TUHH

Department SML
SML

Menu
show search form
  • de
  • en
  • Institute
  • Research
  • Publications
  • Education
  • Sitemap
  • Internship Office ME
  • Contact
Play Stop
TUHH > SML > Research

Ongoing research projects

  • SOF-ML Structural optimization for fail-safe designs by machine learning
  • Faster-H2 - Fuselage, Rear Fuselage and Empennage with Cabin and Cargo Architecture Solution validation and Technologies for H2 integration
  • FoToImSt - Shape and topology optimization of imperfection sensitive structures with random geometry
  • ProMultAx - Experimental investigation and probabilistic analysis of the load
  • carrying capability of cylindrical shells subject to multiaxial loading
  • SiToFoLa - Simultaneous topology, shape, and layer optimization of jointed isotropic components and fiber composite laminates considering material damage and fail-safety

Completed research projects

  • SENSUS - Simulationsbasierte Entwurfsoptimierung dynamischer Systeme unter Unsicherheiten
  • OCAMOS - Optimized Carbon-fiber-reinforced Additive-Manufacturing Of load-oriented Structures
  • SuCoHS - Sustainable & Cost efficient High performance composite Structures
  • REGIS - Realisierung additiv gefertigter Integralstrukturen
  • Topologieoptimierung unter Berücksichtigung von Ausfallsicherheit
  • Determination of the scatter and validation of probabilistic analyses of topologically optimized, additively manufactured titan structures
  • Probabilistic analysis & design optimization of additively-manufactured lattice structures
  • RobTop3D - Robuste Topologieoptimierung für 3D-Druck-Strukturen
  • Entwicklung und experimentelle Validierung eines topologisch optimierten, additiv gefertigten Implantats aus Titan oder Magnesium mit vorgegebenen Steifigkeiten in verschiedene Raumrichtungen
  • Thermally Resistant 3D printable Cellular Structures through Topology Optimization

  • ISMAEK
  • SOF-ML
  • FASTER-H2
  • FoToImSt
  • ProMultAx
  • OCAMOS
  • SiToFoLa
  • SENSUS
  • TopOpt Implantat
  • MIT seed fund
  • SuCoHS
  • TopOpt fail-safe
  • REGIS
  • RobTop3D

Webmaster, 2024/02/05
 SML News
Intranet | Imprint | Data Privacy

Hamburg University of Technology
Institute SML
Eißendorfer Straße 40 (N), 21073 Hamburg

Phone (Office) +49 40 42878-4857 | Email benedikt.kriegesmann@tuhh.de