Volume 14, Issue 1 (1-2024)                   2024, 14(1): 37-60 | Back to browse issues page

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Hadinejad A, Ganjavi B. OPTIMIZING SEISMIC PARAMETERS OF DESIGN LATERAL FORCE PATTERN IN PERFORMANCE-BASED PLASTIC DESIGN OF SMR FRAMES WITH GENETIC PROGRAMMING. International Journal of Optimization in Civil Engineering 2024; 14 (1) :37-60
URL: http://ijoce.iust.ac.ir/article-1-574-en.html
Abstract:   (4338 Views)
In this study, the investigation of maximum inelastic displacement demands in steel moment- resisting (SMR) frames designed using the Performance-Based Plastic Design (PBPD) method is conducted under both near-fault and far-fault earthquake records. The PBPD method utilizes a target drift and predetermined yield mechanism as the functional limit state. To accomplish this, 6 steel moment frames having various heights were scaled using well-known sa(T1)  method and, then, were analyzed by OPENSEES software. A total of 22 far-fault records and 90 near-fault records were compiled and employed for parametric nonlinear dynamic analysis. The near-fault records were classified into two categories: T1/Tp≥1  and T1/Tp<1 . The study aimed at investigate their impacts on the inter-story drift and the relative distribution of base shear along the height of the structure. The results revealed that the records with T1/Tp≥1   exerted the greatest influence on the drift demands of upper stories in all frames. Conversely, the near-fault records with T1/Tp<1  demonstrated the most significant impact on the lower stories of mid-rise frames. Additionally, the distribution of relative story shears was examined through genetic programming for optimum PBPD design of steel moment frame structures. As a result, a proposed relationship, denoted as b (seismic parameter for design lateral force distribution), was developed and optimized for both near-fault and far-fault records. This relationship depends on the fundamental period of vibration and the total height of the structure. The accuracy of the predicted model was assessed using R2 , which confirmed the reliability of the proposed relationship.
 
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Type of Study: Research | Subject: Optimal design
Received: 2024/01/8 | Accepted: 2024/01/1 | Published: 2024/01/1

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