TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. DEM calibration for modelling of the fatigue behavior of ultra-high-performance concrete
 
Options

DEM calibration for modelling of the fatigue behavior of ultra-high-performance concrete

Publikationstyp
Conference Paper
Date Issued
2019
Sprache
English
Author(s)
Rybczynski, Sebastian  
Dosta, Maksym  
Schmidt-Döhl, Frank Michael  orcid-logo
Herausgeber*innen
International Association of Applied Mathematics and Mechanics  
Institut
Baustoffe, Bauphysik und Bauchemie B-3  
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
Mehrskalensimulation von Feststoffsystemen V-EXK1  
TORE-URI
http://hdl.handle.net/11420/5020
Article Number
233
Citation
Annual Meeting of the International Association of Applied Mathematics and Mechanic, GAMM: 233 (2019)
Contribution to Conference
90th Annual Meeting of the International Association of Applied Mathematics and Mechanic, Wien, GAMM 2019  
Subjects
DEM
Fatigue
Ultra high performance concrete
DDC Class
000: Allgemeines, Wissenschaft
Funding(s)
SPP 2020 - Teilprojekt: Hochauflösende elektronenmikroskopische Untersuchungen zum Ermüdungsverhalten von Hochleistungsbetonen und mehrskalige Modelierung mittels Bonded Particle Model  
Zyklische Schädigungsprozesse in Hochleistungsbetonen im Experimental-Virtual-Lab  
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback