Akademik Veri Yönetim Sistemi
Studies in Systems, Decision and Control, Springer International Publishing Ag, ss.119-130, 2022
Tuned liquid dampers (TLD) is a passive control system used to dampen building movement with the help of spring and liquid mass. These devices, which are effective in preventing all kinds of vibrations in the structure, use the geometric properties of the damper and the fluid parameters that provide sloshing in providing the structure control. Using various optimization methods in determining the characteristic features of TLDs plays an important role in increasing the damping performance. For this purpose, Metaheuristic Algorithms inspired by natural events and instinctive behaviors of living things are seen as an advantageous optimization method due to the simple and understandable logic of the mathematical models and the easy selection of design factors for the problem. This study aims to optimize TLD devices by using Jaya (JA) and Teaching-Learning Based Optimization (TLBO) algorithms to determine the design parameters that will minimize the structure movement in a single-story structure exposed to earthquake warnings.