Syed Humayun Basha

Doctoral Degree in Engineering

博士研究生

Personal Information

副研究员(自然科学) Supervisor of Master's Candidates

  • Academic Titles:Dr
  • Gender:Male
  • Date of Birth:1987-03-19
  • Alma Mater:印度理工学院
  • Education Level:博士研究生
  • Degree:Doctoral Degree in Engineering
  • Date of Employment:2020-07-01
  • School/Department:华侨大学
  • Business Address:华侨大学土木工程学院学科实验大楼419
  • E-Mail:
  • Status:在岗
  • Administrative Position:Associate Professor (Research)
  • Discipline:Structural Engineering
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    Home > Scientific Research > Paper Publications

    Basha, S. H., and Kaushik, H. B. A Novel Macromodel for Prediction of Shear Failure in Columns of Masonry Infilled RC Frames under Earthquake Loading

    Release time:2023-02-13 Hits:

    Journal:Bulletin of Earthquake Engineering, Springer
    Abstract:Columns of masonry infilled reinforced concrete frames are prone to shear failure due to the detrimental effect of infill under lateral earthquake loads. This effect is catastrophic in ground storey columns, where the shear force demand is very high. The primary objective of the study is to understand the applicability of the codal recommendations to estimate the shear demand on the columns realistically, and propose an alternative solution for prediction of shear failure of columns by improving the existing macro-modelling techniques. Half-scaled specimens of masonry infilled RC frames tested in an experimental study were considered to evaluate the proposed improvements. Applicability of the improved macromodel was also verified with the results obtained in other past experimental studies. The proposed simplified analytical modelling technique can be used for practical engineering purposes to assess the shear failure of columns and can be utilized for designing or strengthening the shear deficient columns in such frames.
    Indexed by:Journal paper
    Discipline:Engineering
    First-Level Discipline:Civil Engineering
    Document Type:J
    Volume:17
    Page Number:pages 2219–2244
    Translation or Not:no
    Date of Publication:2018-12-13
    Included Journals:SCI
    DOI number:10.1007/s10518-018-00537-5
    Links to published journals:https://link.springer.com/article/10.1007/s10518-018-00537-5