Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Earthquakes and Structures Volume 22, Number 4, April 2022 , pages 387-399 DOI: https://doi.org/10.12989/eas.2022.22.4.387 |
|
|
|
Assessment of seismic damage inspection and empirical vulnerability probability matrices for masonry structure |
||
Si-Qi Li, Yong-Sheng Chen, Hong-Bo Liu, Ke Du and Bo Chi
|
||
| Abstract | ||
| To study the seismic damage of masonry structures and understand the characteristics of the multi-intensity region, according to the Dujiang weir urbanization of China Wenchuan earthquake, the deterioration of 3991 masonry structures was summarized and statistically analysed. First, the seismic damage of multistory masonry structures in this area was investigated. The primary seismic damage of components was as follows: Damage of walls, openings, joints of longitudinal and transverse walls, windows (lower) walls, and tie columns. Many masonry structures with seismic designs were basically intact. Second, according to the main factors of construction, seismic intensity code levels survey, and influence on the seismic capacity, a vulnerability matrix calculation model was proposed to establish a vulnerability prediction matrix, and a comparative analysis was made based on the empirical seismic damage investigation matrix. The vulnerability prediction matrix was established using the proposed vulnerability matrix calculation model. The fitting relationship between the vulnerability prediction matrix and the actual seismic damage investigation matrix was compared and analysed. The relationship curves of the mean damage index for macrointensity and ground motion parameters were drawn through calculation and analysis, respectively. The numerical analysis was performed based on actual ground motion observation records, and fitting models of PGA, PGV, and MSDI were proposed. | ||
| Key Words | ||
| empirical damage vulnerability; field reconnaissance observation; Masonry structure (MS); parameter matrix model of mean damage index (MDI); statistical and regression vulnerability model | ||
| Address | ||
| Si-Qi Li:1)Longjian Road and Bridge Co., Ltd., No. 109, Songshan Road, Harbin City, China 2)School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin City, China 3)School of Civil Engineering, Heilongjiang University, No.74, Xuefu Road, Harbin City, China Yong-Sheng Chen:Institute of Engineering Mechanics, China Earthquake Administration, No.29, Xuefu Road, Harbin City, China Hong-Bo Liu:1)School of Civil Engineering, Heilongjiang University, No.74, Xuefu Road, Harbin City, China 2)Key Laboratory of Functional Inorganic Material Chemistry (Heilongjiang University), Ministry of Education Ke Du:School of Civil Engineering, Heilongjiang University, No.74, Xuefu Road, Harbin City, China Bo Chi:Longjian Road and Bridge Co., Ltd., No. 109, Songshan Road, Harbin City, China | ||