An Elman neural network approach in active control for building vibration under earthquake excitation

作     者：Xuan-Thuan NGUYEN Hong-Hai HOANG Hai-Le BUI Thi-Thoa MAC 

作者机构：School of Mechanical EngineeringHanoi University of Science and TechnologyHanoi 100000Vietnam 

出 版 物：《Frontiers of Structural and Civil Engineering》 (结构与土木工程前沿(英文版))

年 卷 期：2025年第19卷第1期

页      面：60-75页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 081402[工学-结构工程] 081304[工学-建筑技术科学] 0835[工学-软件工程] 0813[工学-建筑学] 0814[工学-土木工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：funded by Hanoi University of Science and Technology Vietnam(No.T2023-PC-013) 

主　　题：building vibration earthquakes Elman neural network Balancing Composite Motion Optimization algorithm 

摘      要：This article presents an improved Elman neural network for reducing building vibrations during *** adjustment coefficient is proposed to be added to the Elman network’s output layer to improve the controller’s performance when used to minimize vibrations in *** parameters of the proposed Elman neural network model are optimized using the Balancing Composite Motion Optimization *** effectiveness of the proposed method is assessed using a three-story structure with an active dampening mechanism on the first *** study also takes into account two kinds of Elman neural network input variables:displacement and velocity data on the first floor,as well as displacement and velocity readings across all three *** research uses two measures of fitness functions in the optimal process,the structure’s peak displacement and acceleration,to determine the best parameters for the proposed *** effectiveness of the proposed method is demonstrated in restraining the vibration of the structure under a variety of ***,the findings indicate that the proposed model maintains sustainability even when the maximum value of the actuator device is dropped.