检索结果-南通市图书馆

Prediction of Damping Capacity Demand in Seismic Base Isolators via Machine Learning

Computer Modeling in Engineering & Sciences 2024年第3期138卷 2899-2924页

作者： Ayla Ocak Umit Isıkdag Gebrail Bekdas sinan melih nigdeli Sanghun Kim ZongWoo Geem Department of Civil Engineering Istanbul University-CerrahpasaIstanbul34320Turkey Department of Informatics Mimar Sinan Fine Arts UniversityIstanbul34427Turkey Department of Civil and Environmental Engineering Temple UniversityPhiladelphiaPA19122USA Department of Smart City Gachon UniversitySeongnam13120Korea

Base isolators used in buildings provide both a good acceleration reduction and structural vibration control *** base isolators may lose their damping capacity over time due to environmental or dynamic *** deterioration of them requires the determination of the maintenance and repair needs and is important for the long-termisolator *** this study,an artificial intelligence prediction model has been developed to determine the damage and maintenance-repair requirements of isolators as a result of environmental effects and dynamic factors over *** the developed model,the required damping capacity of the isolator structure was estimated and compared with the previously placed isolator capacity,and the decrease in the damping property was tried to be *** this purpose,a data set was created by collecting the behavior of structures with single degrees of freedom(SDOF),different stiffness,damping ratio and natural period isolated from the foundation under far fault *** data is divided into 5 different damping classes varying between 10%and 50%.Machine learning model was trained in damping classes with the data on the structure’s response to random seismic *** a result of the isolator behavior under randomly selected earthquakes,the recorded motion and structural acceleration of the structure against any seismic vibration were examined,and the decrease in the damping capacity was estimated on a class *** performance loss of the isolators,which are separated according to their damping properties,has been tried to be determined,and the reductions in the amounts to be taken into account have been determined by *** the developed prediction model,using various supervised machine learning classification algorithms,the classification algorithm providing the highest precision for the model has been *** the results are examined,it has been determined that the damping of the isolator structure with the

关键词： Vibration control base isolation machine learning damping capacity

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Estimation of optimum design of structural systems via machine learning

引用

Frontiers of Structural and Civil Engineering 2021年第6期15卷 1441-1452页

作者： Gebrail BEKDAŞ Melda YÜCEL sinan melih nigdeli Department of Civil Engineering Istanbul University-CerrahpaşaIstanbul 34320Turkey

Three different structural engineering designs were investigated to determine optimum design variables,and then to estimate design parameters and the main objective function of designs directly,speedily,and *** different optimization operations were carried out:One used the harmony search(HS)algorithm,combining different ranges of both HS parameters and iteration with population *** other used an estimation application that was done via artificial neural networks(ANN)to find out the estimated values of *** explore the estimation success of ANN models,different test cases were proposed for the three structural *** of the study suggest that ANN estimation for structures is an effective,successful,and speedy tool to forecast and determine the real optimum results for any design model.

关键词： optimization metaheuristic algorithms harmony search structural designs machine learning artificial neural networks

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：