基于优化烦恼率模型的木楼盖振动舒适度研究  

Study on vibration comfort ability of wooden structure floor based on optimized annoyance rate model

作　　者：方露 陈龙晖 梁宇斌 马砚秋 程俊斐 FANG Lu;CHEN Longhui;LIANG Yubin;MA Yanqiu;CHENG Junfei(School of Transportation and Civil Engineering,Fujian Agriculture and Forestry University,Fuzhou 350002,China;Science and Technology College,Hubei University of Arts and Science,Xiangyang 441100,China)

机构地区：[1]福建农林大学交通与土木工程学院,福建福州350303 [2]湖北文理学院理工学院,湖北襄阳441100

出　　处：《南昌工程学院学报》2024年第3期40-45,共6页Journal of Nanchang Institute of Technology

基　　金：湖北省教育科学规划项目(2023GB145);湖北文理学院理工学院科学研究项目(Q2022LGKY02,Q2023LGKY03)。

摘　　要：木材因特性优良而广泛应用于房屋结构、轻质人行桥等领域。相比于其他建筑材料楼盖,木楼盖更易受人行荷载影响而产生过度振动和舒适度问题。为更好评价木楼盖的人致振动舒适度,本文提出一种基于烦恼率优化模型的木楼盖振动舒适度定量评价方法。首先构建一维卷积神经网络对木楼盖的峰值加速度进行精准预测。然后在此基础上,利用幂级数多项式改进隶属度函数,构建烦恼率优化模型并用于舒适度定量评价,可弥补传统木结构舒适度评价方法的不足。Wood is widely used in such fields as building structures and light pedestrian bridges due to its excellent properties.Compared to other building materials,wooden structure floors are more susceptible to excessive vibration and comfort issues caused by pedestrian loads.To better solve the problem of pedestrian-induced vibration comfort of wooden structure floors,a quantitative evaluation method for vibration comfort of wooden structure floors based on the optimization model of annoyance rate is proposed.Firstly,we constructed a one-dimensional convolutional neural network to accurately predict the peak acceleration of wooden structurefloors.Secondly,based on the use of power series polynomials to improve the membership function,an optimization model for annoyance rate was proposed and used for quantitative evaluation of comfort,thereby compensating for the shortcomings of traditional methods for evaluating the comfort of wooden structures.

关 键 词：木结构楼盖 舒适度 人致振动 卷积神经网络 烦恼率模型 

分 类 号：TU317.2[建筑科学—结构工程]