The Open Construction & Building Technology Journal




ISSN: 1874-8368 ― Volume 13, 2019
RESEARCH ARTICLE

Evaluation of Seismic Demand for Substandard Reinforced Concrete Structures



Nicholas Kyriakides1, *, Ahmad Sohaib2, Kypros Pilakoutas2, Kyriakos Neocleous1, Christis Chrysostomou1, Elia Tantele1, Renos Votsis1
1 Cyprus University of Technology Civil Engineering and Geomatics Limassol 0035725002356 Achilleos 1 Building, 3rd floor, Saripolou 2-8, 3036, Limassol, CY, Cyprus
2 University of Sheffield Department of Civil and Structural Engineering Sir Frederick Mappin Building Mappin Street, Sheffield, S1 3JD Sheffield, S1 3JD, UK

Abstract

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.

Keywords: Seismic demand predictions, Capacity-demand diagram methods, Degrading systems, Energy balance, Hysteretic behaviour, Cyclic.


Article Information


Identifiers and Pagination:

Year: 2018
Volume: 12
First Page: 9
Last Page: 33
Publisher Id: TOBCTJ-12-9
DOI: 10.2174/1874836801812010009

Article History:

Received Date: 17/11/2017
Revision Received Date: 29/01/2018
Acceptance Date: 1/2/2018
Electronic publication date: 15/02/2018
Collection year: 2018

Article Metrics:

CrossRef Citations:
0

Total Statistics:

Full-Text HTML Views: 2095
Abstract HTML Views: 1563
PDF Downloads: 1012
ePub Downloads: 685
Total Views/Downloads: 5355

Unique Statistics:

Full-Text HTML Views: 801
Abstract HTML Views: 729
PDF Downloads: 527
ePub Downloads: 287
Total Views/Downloads: 2344
Geographical View

© 2018 Kyriakides et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


* Address Correspondence to this author at the Cyprus University of Technology, Civil Engineering and Geomatics Limassol 0035725002356, Achilleos 1 Building, 3rd floor, Saripolou 2-8, 3036, Limassol, CY, Cyprus; Tel: +35728002351; E-mail: nicholas.kyriakides@cut.ac.cy


Endorsements



"We greatly appreciate the efficient, professional and rapid processing of our paper by your team. The editors are so kind and professional to send us the reviewers' feedback in time. Those comments were all valuable and very helpful for us in revising and improving our paper."


Hailong Zhao
School of Civil Engineering,
Tianjin University, Tianjin,
China


Browse Contents



Webmaster Contact: info@benthamopen.net
Copyright © 2019 Bentham Open