TY - JOUR
T1 - A proposal of Visual Rating method to set the priority of detailed evaluation for masonry infilled RC building
AU - Islam, Md Shafiul
AU - Alwashali, Hamood
AU - Sen, Debasish
AU - Maeda, Masaki
N1 - Funding Information:
The authors are very thankful to Principal Investigator, Dr. Santiago Pujol, Purdue University and his research team for developing post-earthquake building survey databases. The research is supported by project named Science and Technology Research Partnership for Sustainable Development (SATREPS 2015 ), directed by Prof. Dr. Nakano Yoshiaki, University of Tokyo and it is gratefully acknowledged. The discussion with Dr. Matsutaro Seki, Visiting Research Fellow, Building Research Institute (BRI), Japan and Mr. Md. Rafiqul Islam, Superintending Engineer, Public Works Department of Bangladesh, has also been greatly acknowledged. I VR Visual Rating Index n Number of story τ c Average shear strength of column τ inf Average shear strength of masonry infill τ cw Average shear strength of concrete wall A c Cross-sectional area of column A inf Cross-sectional area of masonry infill A cw Cross-sectional area of concrete wall A f Floor area w Unit weight of building I c Simplified Column area ratio I inf Simplified Masonry infill area ratio I cw Simplified Concrete wall area ratio b c Average size of column l s Average span length R inf Masonry infill ratio R cw Concrete wall ratio t inf Masonry infill thickness t cw Concrete wall thickness F IV Reduction factor for vertical irregularity F IH Reduction factor for horizontal irregularity F D Reduction factor for deterioration of concrete F Y Reduction factor for year of construction h o Clear height of column D Width of column
Funding Information:
The authors are very thankful to Principal Investigator, Dr. Santiago Pujol, Purdue University and his research team for developing post-earthquake building survey databases. The research is supported by project named Science and Technology Research Partnership for Sustainable Development (SATREPS 2015), directed by Prof. Dr. Nakano Yoshiaki, University of Tokyo and it is gratefully acknowledged. The discussion with Dr.?Matsutaro Seki, Visiting Research Fellow, Building Research Institute (BRI), Japan and Mr. Md. Rafiqul Islam, Superintending Engineer, Public Works Department of Bangladesh, has also been greatly acknowledged.
Publisher Copyright:
© 2019, Springer Nature B.V.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - In developing countries, an enormous stock of vulnerable buildings is to be considered for seismic evaluation, which requires a rigorous analysis with much expertise, cost, and time. Identification of most vulnerable buildings beforehand would be helpful in prioritizing the detailed seismic evaluation. This study aims to develop a quick seismic evaluation method, designated as Visual Rating method, in order to set the priority of vulnerable building to be gone through detailed evaluation. The proposed method approximately estimates the seismic capacity of a building, in terms of Visual Rating Index, considering cross-sectional areas and shear strength of RC columns and walls. This is followed by a modification of seismic capacity to reflect the effect of different building attributes such as structural configuration, buildings deterioration, and year of construction etc. Applicability of the proposed Visual Rating method has been investigated using post-earthquake damage database of the 2016 Taiwan earthquake. The obtained results show that the lower Visual Rating Index corresponds to severely damaged buildings in the 2016 Taiwan earthquake and the proposed method could be applied for identifying the most vulnerable buildings.
AB - In developing countries, an enormous stock of vulnerable buildings is to be considered for seismic evaluation, which requires a rigorous analysis with much expertise, cost, and time. Identification of most vulnerable buildings beforehand would be helpful in prioritizing the detailed seismic evaluation. This study aims to develop a quick seismic evaluation method, designated as Visual Rating method, in order to set the priority of vulnerable building to be gone through detailed evaluation. The proposed method approximately estimates the seismic capacity of a building, in terms of Visual Rating Index, considering cross-sectional areas and shear strength of RC columns and walls. This is followed by a modification of seismic capacity to reflect the effect of different building attributes such as structural configuration, buildings deterioration, and year of construction etc. Applicability of the proposed Visual Rating method has been investigated using post-earthquake damage database of the 2016 Taiwan earthquake. The obtained results show that the lower Visual Rating Index corresponds to severely damaged buildings in the 2016 Taiwan earthquake and the proposed method could be applied for identifying the most vulnerable buildings.
KW - Infilled RC building
KW - Seismic evaluation
KW - Visual Rating Index
KW - Visual Rating method
KW - Vulnerable building
UR - http://www.scopus.com/inward/record.url?scp=85076106083&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076106083&partnerID=8YFLogxK
U2 - 10.1007/s10518-019-00763-5
DO - 10.1007/s10518-019-00763-5
M3 - Article
AN - SCOPUS:85076106083
SN - 1570-761X
VL - 18
SP - 1613
EP - 1634
JO - Bulletin of Earthquake Engineering
JF - Bulletin of Earthquake Engineering
IS - 4
ER -