Paul Toasa

Dr.-Ing. Dipl.-Math. M.Sc. Paul Dario Toasa Caiza

  • Karlsruher Institut für Technologie

    Versuchsanstalt für Stahl, Holz und Steine

    Otto-Ammann-Platz 1

    76131 Karlsruhe

Research:

  • Probabilistic modelling and estimation of the fatigue life of steel structures
  • Real time crack detection on steel structures by applying active thermography
  • Fatigue life estimation of stir welded structures from steel and aluminum
  • Reliability and durability analysis of ancient steel structures
  • Mathematical modeling of optimal structures

 

Publications:

  • Stéphane Sire, Paul Dario Toasa Caiza, Bernard Espion, and Muriel Ragueneau. Contribution to the study of the fatigue of riveted joints, influence of the material and of the stress ratio. In Grzegorz Lesiuk, Szymon Duda, José A. F. O. Correia, and Abílio M. P. De Jesus, editors, Fatigue and Fracture of Materials and Structures, pages 367–373, Cham, 2022. Springer International Publishing
  • Yoshihiko Uematsu, Toshifumi Kakiuchi, Kenta Niimi, and Paul Dario Toasa Caiza. Local strain analysis under quasi-static tensile loading in Al/steel dissimilar friction stir weld by a digital image correlation method. The International Journal of Advanced Manufacturing Technology, 120:349 – 360, 2022
  • Paul Dario Toasa Caiza, Thomas Ummenhofer, A probabilistic Stüssi function for modelling the S-N curves and its application on specimens made of steel S355J2+N (-> Science Direct)
  • Paul Dario Toasa Caiza, Thomas Ummenhofer, General probability weighted moments for the three-parameter Weibull Distribution and their application in S–N curves modelling, International Journal of Fatigue, Volume 33, Issue 12, December 2011, Pages 1533-1538. (-> Science Direct)
  • Paul Dario Toasa Caiza. A la luz y a la sombra de Yachay Tech. Agosto 2015. [Open]
  • Paul Dario Toasa Caiza, Thomas Ummenhofer, Consideration of the runouts and their subsequent retests into S-N curves modelling based on a three-parameter Weibull distribution, In International Journal of Fatigue, Volume 106, 2018, Pages 70-80, ISSN 0142-1123 (-> Science Direct)

Publikationsliste


Local strain analysis under quasi-static tensile loading in Al/steel dissimilar friction stir weld by a digital image correlation method
Uematsu, Y.; Kakiuchi, T.; Niimi, K.; Caiza, P. D. T.
2022. International Journal of Advanced Manufacturing Technology. doi:10.1007/s00170-021-08481-6