4.6 Article

Uncoupled multivariate power models for estimating performance-based seismic damage states of column curvature ductility

期刊

STRUCTURES
卷 36, 期 -, 页码 752-764

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.istruc.2021.12.041

关键词

Damage states; Curvature ductility; Moment-curvature; Uncoupled multivariate model

资金

  1. National Natural Science Foun-dation of China [52178135]
  2. Fundamental Research Funds for the Central Universities of China [JZ2020HGTB0064]
  3. China Post-doctoral Science Foundation [2016M602007]

向作者/读者索取更多资源

The study introduces an uncoupled multivariate power model (UCMV-PM) for estimating the curvature ductility of four damage states of column sections, considering the effects of four factors. By proposing a simplified parametric calculation procedure, a large sample data set is quickly established, demonstrating high accuracy, strong practicability, and wide coverage.
The assessment for the thresholds of different damage state plays a vital role in the performance-based seismic design of earthquake-resistant structures. Although fast evaluation for limit curvature of slight damage (DS1) is presented in specifications and literature, quantitative models for other damage states, i.e. moderate damage (DS2), extensive damage (DS3), and collapse damage (DS4) curvature are not clearly illustrated. Therefore, an uncoupled multivariate power model (UCMV-PM), i.e., multivariate logarithm linearity models is proposed to estimate the curvature ductility of four damage states of column sections by considering the effects of four factors (section dimensional (L): 1 to 3 m, volumetric percentage of the reinforcement (rho l): (0.01 to 0.03), transverse volumetric steel ratio(rho s): (0.01 to 0.03), axial compression ratio (Rac): 0.1 to 0.3). To obtain large sample data, a simplified parametric calculation procedure for moment-curvature (M-phi) curves and each damage state is proposed. Based on the efficient procedure, a sample space of 214 data with four factors and 21 levels is quickly established on a common desktop computer. Finally, verification, comparison, and application of UCMV-PM indicate its characteristics of high accuracy, strong practicability, and wide coverage.

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