检索结果-内蒙古大学图书馆

damage identification algorithm of Hinged Joints for Simply Supported Slab Bridges Based on Modified Hinge Plate Method and Artificial Bee Colony algorithms

引用

algorithmS 2018年第12期11卷 198-198页

作者： Liu, Hanbing He, Xin Jiao, Yubo Jilin Univ Coll Transportat Changchun 130025 Jilin Peoples R China Beijing Univ Technol Minist Educ Key Lab Urban Secur & Disaster Engn Beijing 100124 Peoples R China

Hinge joint damage is a typical form of damage occurring in simply supported slab bridges, which can present adverse effects on the overall force distribution of the structure. However, damage identification methods of hinge joint damage are still limited. In this study, a damage identification algorithm for simply supported hinged-slab bridges based on the modified hinge plate method (MHPM) and artificial bee colony (ABC) algorithms was proposed by considering the effect of hinge damage conditions on the lateral load distribution (LLD) of structures. Firstly, MHPM was proposed and demonstrated, which is based on a traditional hinge plate method by introducing relative displacement as a damage factor to simulate hinge joint damage. The effectiveness of MHPM was verified through comparison with the finite element method (FEM). Secondly, damage identification was treated as the inverse problem of calculating the LLD in damage conditions of simply supported slab bridges. Four ABC algorithms were chosen to solve the problem due to its simple structure, ease of implementation, and robustness. Comparisons of convergence speed and identification accuracy with genetic algorithm and particle swarm optimization were also conducted. Finally, hinged bridges composed of four and seven slabs were studied as numerical examples to account for the feasibility and correctness of the proposed method. The simulation results revealed that the proposed algorithm could identify the location and degree of damaged joints efficiently and precisely.

关键词： damage identification algorithm hinge joint damage modified hinge plate method artificial bee colony algorithm finite element analysis

来源：评论

学校读者我要写书评

暂无评论

Design of damage identification algorithm for mechanical structures based on convolutional neural network

Design of damage identification algorithm for mechanical str...

引用

International Conference on Modern Computer Science and Applications (MCSA)

作者： Wang, Guang Weifang Univ Sci & Technol Shouguang 262700 Peoples R China

damage identification, location, and estimation of engineering structures are very popular research topics in recent years. Structural damage detection technology has been widely used in aerospace, civil engineering, machinery, and nuclear industry. It is a multi-disciplinary and comprehensive technology based on damage mechanism, sensor technology, signal analysis technology, computer technology, and convolutional intelligence technology. Compared with the traditional structural damage detection methods, this paper mainly studies the theory and application of structural damage detection technology based on convolutional neural network. In this paper, the damage location and damage degree of a frame structure are numerically simulated by the combined parameter method, which is suitable for structural damage identification. At the same time, the input parameters of the improved convolutional neural network are constructed by a suitable method, and the structure damage detection and identification are carried out by using the trained convolutional neural network.

关键词： convolutional neural network damage identification algorithm mechanical structures

来源：评论

学校读者我要写书评

暂无评论

Design of damage identification algorithm for mechanical structures based on convolutional neural network

引用

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2018年第24期30卷

作者： Wang, Guang Weifang Univ Sci & Technol Shouguang 262700 Peoples R China

关键词： convolutional neural network damage identification algorithm mechanical structures

来源：评论

学校读者我要写书评

暂无评论

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

请选择保存的检索档案：

请选择收藏分类：

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

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

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：