ABSTRACT

Reinforced Concrete (RC) frame buildings with shear wall are widely used in severe seismic zones. However, the underlying soil-foundation system modifies the conventional fixed-base natural period through imparted flexibility. The currently available relationships for the modified natural period are mostly applicable to shallow foundations. Hence, those are not suitable for RC frame-wall buildings with pile foundation. Based on an Artificial Neural Network (ANN) architecture model, the current study establishes a relationship for the effective natural period of such buildings. A comparison of the proposed relationship with the existing ones demonstrates its applicability to RC frame-wall buildings on pile foundation.

摘要

具有剪力墙的钢筋混凝土（RC）框架建筑广泛用于地震严重地区。然而，下伏土-地基系统通过赋予灵活性改变了传统的固定基础自然周期。目前可用的修正自然周期关系主要适用于浅基础。因此，不适用于桩基的钢筋混凝土框架墙建筑。基于人工神经网络（ANN）架构模型，当前的研究建立了此类建筑物的有效自然周期的关系。建议的关系与现有关系的比较表明其适用于桩基础上的 RC 框架墙建筑。