Nonlinear Analysis Model for Performance-Based Seismic Design of Reinforced Concrete Building Structures (Revised Edition)
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author : Architectural Institute of Korea (Building Standards Center), Korean Concrete Institute
published date : 2025.03.07
publisher : Architectural Institute of Korea (02-525-1849)
Jeong a: 60,000 won
book introduction
Performance-based seismic design for buildings was first introduced in the "Building Structure Standards" (KBC 2016) in 2016, and the related regulations were revised in 2019 with the enactment of the "Building Seismic Design Standards." Accordingly, performance-based seismic design is being expanded to the seismic design of not only high-rise apartment buildings but also many high-rise, large, and irregular buildings to ensure seismic safety. In particular, for existing buildings to which seismic design has not been applied, seismic performance evaluation and reinforcement are required, focusing on schools, and performance-based evaluation and design are gradually being expanded to other buildings as well.
Accordingly, in order to improve the accuracy of the performance evaluation in 2021, a new nonlinear evaluation model was developed based on many domestic and foreign experimental results and theoretical studies. In this revised guideline, the allowable compressive strain criteria for laterally confined concrete, slab diaphragm modeling method, beam-column joint model, wall shear strength and shear model, and connecting beam model were revised in the direction of improving conservatism and increasing accuracy based on theory and experiment. In addition, explanations were added to help practical understanding of nonlinear structural analysis modeling, and examples for determining design variables were included in the appendix and related Excel files were provided to improve practical applicability. Currently, the evaluation model of this guideline is considered as a model or alternative model of the ACI and ASCE evaluation guidelines, or an English version of this guideline will be compiled in the future and used to popularize the performance-based evaluation method.
