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Evaluation of Seismic Demand for Substandard Reinforced Concrete Structures

Autor(en):






Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: The Open Construction and Building Technology Journal, , n. 1, v. 12
Seite(n): 9-33
DOI: 10.2174/1874836801812010009
Abstrakt:

Background:

Reinforced Concrete (RC) buildings with no seismic design exhibit degrading behaviour under severe seismic loading due to non-ductile brittle failure modes. The seismic performance of such substandard structures can be predicted using existing capacity demand diagram methods through the idealization of the non-linear capacity curve of the degrading system, and its comparison with a reduced earthquake demand spectrum.

Objective:

Modern non-linear static methods for derivation of capacity curves incorporate idealization assumptions that are too simplistic and do not apply for sub-standard buildings. The conventional idealisation procedures cannot maintain the true strength degradation behaviour of such structures in the post-peak part, and thus may lead to significant errors in seismic performance prediction especially in the cases of brittle failure modes dominating the response.

Method:

In order to increase the accuracy of the prediction, an alternative idealisation procedure using equivalent elastic perfectly plastic systems is proposed herein that can be used in conjunction with any capacity demand diagram method.

Results:

Moreover, the performance of this improved equivalent linearization procedure in predicting the response of an RC frame is assessed herein.

Conclusion:

This improved idealization procedure has been proven to reduce the error in the seismic performance prediction as compared to seismic shaking table test results [1] and will be further investigated probabilistically herein.

Copyright: © 2018 Nicholas Kyriakides, Ahmad Sohaib, Kypros Pilakoutas, Kyriakos Neocleous, Christis Chrysostomou, Elia Tantele, Renos Votsis
Lizenz:

Dieses Werk wurde unter der Creative-Commons-Lizenz Namensnennung 4.0 International (CC-BY 4.0) veröffentlicht und darf unter den Lizenzbedinungen vervielfältigt, verbreitet, öffentlich zugänglich gemacht, sowie abgewandelt und bearbeitet werden. Dabei muss der Urheber bzw. Rechteinhaber genannt und die Lizenzbedingungen eingehalten werden.

  • Über diese
    Datenseite
  • Reference-ID
    10381074
  • Veröffentlicht am:
    22.11.2019
  • Geändert am:
    02.06.2021
 
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