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Experimental and numerical investigation of a proposed monolithic-like precast concrete column-foundation connection

  • Selim Pul
  • , Mehmet Senturk*
  • , Alper Ilki
  • , Iman Hajirasouliha
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Karadeniz Technical University
  • R&G Engineering BV
  • University of Sheffield

Araştırma sonucu: Dergiye katkıMakalebilirkişi

31 Atıf (Scopus)

Özet

Precast structures are increasingly used in modern construction since they offer advantages such as cost-efficiency, better material quality, and fast construction due to their mass production compared to cast-in-situ structures. However, development of monolithic-like precast connections to ensure adequate seismic performance is still a challenging task. This study aims to introduce a monolithic-like column-foundation precast connection, which is easy to assemble and disassemble and therefore is replaceable in case of excessive damage. To investigate the efficiency of the proposed system, four full-scale precast and monolithic column-foundation connection specimens are tested under constant axial load and lateral reversed cyclic loading. Experimental results are then used to obtain seismic performance parameters such as failure mode, flexural capacity, initial stiffness, ductility, energy dissipation and curvature distribution. The results indicate that, in general, the proposed precast connections exhibit similar structural performance as their monolithic counterparts. Subsequently, experimentally validated finite element (FE) models are developed to provide practical tools for seismic design and performance assessment of the proposed precast connection system. It is shown that the developed models can accurately estimate the load-bearing capacity, initial stiffness and post-peak behaviour of both precast and monolithic column-foundation connections.

Orijinal dilİngilizce
Makale numarası113090
DergiEngineering Structures
Hacim246
DOI'lar
Yayın durumuYayınlandı - 1 Kas 2021

Bibliyografik not

Publisher Copyright:
© 2021 Elsevier Ltd

Finansman

The authors would like to thank the Scientific and Technological Research Council of Turkey (TÜBİTAK) to support this project (Grant No: 117M346).

FinansörlerFinansör numarası
TÜBİTAK
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu117M346

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