Showing 3 results for Seismic Performance
S. Gholizadeh, C. Gheyratmand,
Volume 14, Issue 2 (2-2024)
Abstract
The main objective of this paper is to optimize the size and layout of planar truss structures simultaneously. To deal with this challenging type of truss optimization problem, the center of mass optimization (CMO) metaheuristic algorithm is utilized, and an extensive parametric study is conducted to find the best setting of internal parameters of the algorithm. The CMO metaheuristic is based on the physical concept of the center of mass in space. The effectiveness of the CMO metaheuristic is demonstrated through the presentation of three benchmark truss layout optimization problems. The numerical results indicate that the CMO is competitive with other metaheuristics and, in some cases, outperforms them.
Z.h.f. Jafar, S. Gholizadeh,
Volume 14, Issue 2 (2-2024)
Abstract
The main objective of this study is to predict the maximum inter-story drift ratios of steel moment-resisting frame (MRF) structures at different seismic performance levels using feed-forward back-propagation (FFBP) neural network models. FFBP neural network models with varying numbers of hidden layer neurons (5, 10, 15, 20, and 50) were trained to predict the maximum inter-story drift ratios of 5- and 10-story steel MRF structures. The numerical simulations indicate that FFBP neural network models with ten hidden layer neurons better predict the inter-story drift ratios at seismic performance levels for both 5- and 10-story steel MRFs compared to other neural network models.
R. Kamgar, H. Pooladi Baghbadorani, H. Heidarzadeh,
Volume 15, Issue 4 (11-2025)
Abstract
Controlling vibrations in short-period structures subjected to seismic loading is crucial for improving the seismic performance of the structure. This paper investigates friction pendulum isolators with both constant and variable radius as a means to enhance the seismic behavior of structures. Friction pendulum isolators with a constant radius are susceptible to intensification phenomena in near-field earthquakes. Modifying the isolator radius leads to changes in its period and stiffness, thereby mitigating the amplification effect. The study first models and validates the friction pendulum isolator with a constant radius using ABAQUS software. Subsequently, the performance of these isolators, both with constant and variable radius, is examined under harmonic loading to improve structural behavior. The results show that variable radius pendulum friction isolators have been able to increase energy absorption by an average of 25%, 41%, and 14%, respectively, in response to near- and far-field earthquakes such as the Manjil, Loma Prieta, and Northridge earthquakes. This reduces the transfer of earthquake forces to the structure and maintains the integrity of the structure during an earthquake.
