Abstract
Enhancing the seismic resilience of reinforced concrete frame systems depends on an accurate understanding of beam-column joint behavior under cyclic and dynamic loading. Traditional design methods often rely on broad empirical equations, which may overlook important interactions within the joint core and result in unreliable safety margins. In this study, a tailored framework is introduced, utilizing geometry-sensitive calibration methods to improve the reliability of joint shear strength predictions. Two new approaches, the Geometry-Based Scaling Factor (GBSF) and the Area Ratio Scaling Factor (ARSF) were developed and validated using a comprehensive set of joint tests covering a range of materials and configurations. These statistically derived factors were incorporated into widely used design codes, leading to a noticeable reduction in prediction errors and variability. Overall, these advancements support the design of safer, more resilient structures in earthquake-prone regions and offer greater protection for critical infrastructure against brittle joint failure.
| Original language | English |
|---|---|
| Article number | 109680 |
| Journal | Structures |
| Volume | 80 |
| DOIs | |
| State | Published - Oct 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
Keywords
- Beam-column joints
- Reinforced concrete structures
- Resilience-based design
- Seismic resilience
- Shear strength modeling
- Structural performance assessment
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