Abstract Large-scale liquid storage tanks are used worldwide for storing water, chemicals and fuels, such as liquefied natural gas (LNG) and oil. Any major damage due to man-made or natural hazards, such as earthquakes, to these critical infrastructures would cause serious socio-economical losses and devastating environmental consequences. Moreover, they should remain functional even after a severe earthquake to support restoration actions, thus, their robust and optimal seismic design is deemed necessary. For this reason, base isolation is generally considered as a highly efficient technique for their seismic protection. Elastomeric bearings, such as lead-rubber bearings (LRB), high damping rubber bearings (HDRB) and friction bearings: single friction pendulum bearings (SFPB), double friction pendulum bearings (DFPB) and triple friction pendulum bearings (TFPB) have been used. In this work, the focus is given on the sizing optimization of the main parameters of SFPB and TFPB isolators. For this reason, efficient swarm intelligence optimization algorithms are used to derive optimal friction coefficient and radius of curvature values that enhance the dynamic performance of a base-isolated liquid storage tank. The main objective of the proposed formulation is to minimize the accelerations transmitted to the superstructure, while constraints related to damping and vibration period of the system are imposed.

中文翻译：

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使用群体智能算法优化隔震储液罐的地震响应

摘要 大型液体储罐在世界范围内用于储存水、化学品和燃料，如液化天然气 (LNG) 和石油。由于人为或自然灾害（例如地震）对这些关键基础设施造成的任何重大损害，都会造成严重的社会经济损失和破坏性的环境后果。此外，即使在发生严重地震后，它们也应保持功能以支持恢复行动，因此，它们的稳健和最佳抗震设计被认为是必要的。出于这个原因，基础隔离通常被认为是一种高效的抗震技术。弹性轴承，例如铅橡胶轴承 (LRB)、高阻尼橡胶轴承 (HDRB) 和摩擦轴承：单摩擦摆轴承 (SFPB)、已使用双摩擦摆轴承（DFPB）和三摩擦摆轴承（TFPB）。在这项工作中，重点是SFPB和TFPB隔离器主要参数的尺寸优化。出于这个原因，高效的群体智能优化算法被用于推导出最佳摩擦系数和曲率半径值，以提高基础隔离液体储罐的动态性能。提出的公式的主要目标是最小化传递到上部结构的加速度，同时强加与系统的阻尼和振动周期相关的约束。高效的群体智能优化算法用于推导出最佳摩擦系数和曲率半径值，以提高基础隔离液体储罐的动态性能。提出的公式的主要目标是最小化传递到上部结构的加速度，同时强加与系统的阻尼和振动周期相关的约束。高效的群体智能优化算法用于推导出最佳摩擦系数和曲率半径值，以提高基础隔离液体储罐的动态性能。提出的公式的主要目标是最小化传递到上部结构的加速度，同时强加与系统的阻尼和振动周期相关的约束。