A Predictive model for maximum interstory drift ratio (MIDR) and its implementation in probability-based design and performance assessment procedures g

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2013

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Eroğlu Azak, Tuba

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Estimating nonlinear deformation demands is important for the implementation of rational seismic design and assessment methodologies to ensure the safe and reliable response of existing and new buildings against seismic action. The nonlinear deformation demand estimations should consider the variability inground motions as well as the uncertainties involved in structural response. This study presents probability-based seismic design and assessment procedures for code-confirming low- and mid-rise reinforced concrete Turkish buildings. The proposed methodologies account for the regional seismicity, randomness in earthquake ground motions and uncertainty in nonlinear structural response while estimating the maximum interstory drift ratio (MIDR) demands on frame type buildings. The buildings of interest have story numbers ranging between 3 and 9 stories with fundamental periods (T1) ranging from 0.7s to 1.4s. The proposed methodologies are based on probabilistic seismic demand analysis (PSDA) that uses structure-specific predictive models. Thus, a predictive model on MIDR is also presented within the context of this study. The MIDR predictive model is a function of moment magnitude (Mw), source-to-site distance (Joyner-Boore distance, Rjb), site conditions (soft and stiff sites with average shear-wave velocities ranging between 180 m/s and 760 m/s in the upper 30 m of the soil profile) and strength reduction factor (Ry). The proposed probability-based methodologies can be used together with the current force-based design (FBD) and hybrid seismic performance assessment procedures to improve their efficiency for the expected behavior of structural response under target hazard demands.

Subject Keywords

Structural dynamics., Structural design., Earthquake resistant design., Seismic prospecting., Structural failures.

URI

http://etd.lib.metu.edu.tr/upload/12616173/index.pdf
https://hdl.handle.net/11511/22811

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

T. Eroğlu Azak, “A Predictive model for maximum interstory drift ratio (MIDR) and its implementation in probability-based design and performance assessment procedures g,” Ph.D. - Doctoral Program, Middle East Technical University, 2013.