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Stiffness Changes and Reanalysis

  • Friedel Hartmann
  • Peter Jahn
Chapter
  • 29 Downloads
Part of the Springer Series in Solid and Structural Mechanics book series (SSSSM, volume 13)

Abstract

The subject of this chapter are changes in the stiffness of single structural members and we study how such shifts propagate through a structure, how they affect the stress distribution in a structure.

References

  1. 1.
    Chen H-P, Ni, Y-Q (2018) Structural health monitoring of large civil engineering structures. Wiley BlackwellGoogle Scholar
  2. 2.
    Deif A (1986) Sensitivity analysis in linear systems. Springer, HeidelbergCrossRefGoogle Scholar
  3. 3.
    Hartmann F (2013) Green’s functions and finite elements. Springer, HeidelbergCrossRefGoogle Scholar
  4. 4.
    Strang G (2019) Linear algebra and learning from data. Wellesley-Cambridge PressGoogle Scholar
  5. 5.
    Carl O, Hartman F (March 2017) Zhang C (2017) Schnelle Berechnung von Änderungen und Varianten bei komplexen Tragsystemen (3D-Modellen) - Neue Ansätze in der Baustatik unter Verwendung von Einflussfunktionen. Stahlbau 217–224Google Scholar
  6. 6.
    Sopoth M, Sopoth G (2008) Sensitivitätsanalyse an einem Brückenbauwerk in semi-integraler Bauweise. Master thesis University of KasselGoogle Scholar
  7. 7.
    Hartmann F, Katz C (2010) Structural analysis with finite elements, 2nd edn. Springer, HeidelbergGoogle Scholar
  8. 8.
    Hager WW (1989) Updating the inverse of a matrix. SIAM Rev 31, 2:221–239Google Scholar
  9. 9.
    Fox RL, Kapoor MP (1968) Rates of changes of eigenvalues and eigenvectors. AIAA J 6(12):2426–2429Google Scholar
  10. 10.
    Hartmann F (1989) Introduction to boundary elements. Springer, HeidelbergCrossRefGoogle Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  • Friedel Hartmann
    • 1
  • Peter Jahn
    • 1
  1. 1.Institute of Structural MechanicsUniversity of KasselKasselGermany

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