检索结果-内蒙古大学图书馆

8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017

作者： Luo, Z.W. Yu, L. School of Mechanics and Construction Engineering Jinan University Guangzhou510632 China MOE Key Lab of Disaster Forecast and Control in Engineering Jinan University Guangzhou510632 China

ISBN: (纸本)9781925553055

Structural damage detection (SDD) of large span structures needs to deal with a large number of data produced by thousands of sensors. SDD costs vast amounts of calculating time in a structural health monitoring (SHM) system. To overcome this problem, a new method of SDD is proposed in this paper. A measurement matrix satisfying restricted isometry property (RIP) is used to reduce the numbers of sensitivity equation. It projects the sensitivity matrix into the subspace. In the meantime, it also projects the differences of modal parameters between damaged and undamaged structure into this subspace and reduces the dimensions of differences of modal parameters. Then, the information in lower dimensions can be used for SDD. Finally, due to the sparsity of damage coefficients, sparse regularization method can be used to solve the sensitivity equation in subspace and improve the ill-posedness of SDD. In order to assess capabilities of the proposed method, a plane truss is taken as an example for numerical simulations. Different damage scenarios and the effects of measurement noises on the proposed method are considered. The illustrated results show that the proposed method can effectively detect damage location(s) and quantify damage degrees. © 2017 International Society for Structural Health Monitoring of Intelligent Infrastrucure. All rights reserved.

关键词： Matrix algebra

来源：评论

学校读者我要写书评

暂无评论

Thermal-Structural Coupling Analysis of PCBA System

引用

IOP Conference Series: Materials Science and engineering 2018年第2期452卷

作者： Wei Su Junhua Zhu Renhuai Liu Zhiyuan He Scienceand Technology on Reliability Physics and Application Technology of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China MOE Key Lab of Disaster Forecast and Control in Engineering Jinan University Guangzhou China Department of Mechanics and Civil Engineering Jinan University Guangzhou China

In this paper, the thermal and structural analysis of the PCBA system is provided by using the 3-D ANSYS package. The results of thermal and structural analysis for complex and simple model are compared. The paper also describes the deformation analysis of the PCBA system components, and the weak components sensitive to thermal stress are determined though thermal-structual analysis. The results of thermal analysis are helpful to the optimizing overall arrangement design of PCBA system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

New damage-sensitive feature for structures with bolted joints

引用

Journal of Physics: Conference Series 2017年第1期842卷

作者： W F Luo L Yu School of Mechanics and Construction Engineering Jinan University Guangzhou 510632 China MOE Key Lab of Disaster Forecast and Control in Engineering Jinan University Guangzhou 510632 China

Compared with riveted and welded joints, bolted joints have advantages of easily dismantled, high load carrying and load-transferring capacity. However, bolted joints are also weaker components of assembled structures. Structural damage detection (SDD) on bolted joints is much required in the field of structural health monitoring (SHM). A new SDD method is proposed for damage identification of structures with bolted joints based on residual error of AR model in time series analysis. Firstly, a new data standardization process is defined to maintain the information of damage location. Then, a new structural damage feature sensitive to structural damage is developed based on the standard deviation of AR model residual errors. To verify the proposed method, a bolted joint structure is designed and fabricated in lab.ratory, connection damages of structures are simulated by loosening the bolted joints. The acceleration responses of structures with bolted joints under healthy and damage cases are acquired. Finally, the SDD is performed by traditional DSF and the new DSF. The illustrated results show that the proposed method is a hybrid tool for the bolted joint damage detection with the new damage-sensitive feature. In addition, some related issues will be discussed as well.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Moving force identification based on particle swarm optimization

Moving force identification based on particle swarm optimiza...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Huanlin Liu Ling Yu Department of Mechanics and Civil Engineering Jinan University Guangzhou China MOE Key Lab of Disaster Forecast and Control in Engineering Jinan University Guangzhou China

ISBN: (纸本)9781509040940

Moving force is very important for bridge design, structural analysis and structural health monitoring. Some studies on moving force identification (MFI) attract extensive attentions in the past decades. A novel two-step MFI method is proposed based on particle swarm optimization (PSO) and time domain method (TDM) in this study. The new proposed MFI method includes two steps. In the first step, the PSO is used to identify the constant loads without matrix inversion. In the second step, the conventional TDM is employed to estimate the rest time-varying loads where the Tikhonov regularization and general cross validation (GCV) are introduced to improve the MFI accuracy and to select optimal regularization parameters, respectively. A simply supported beam bridge subjected to moving forces is taken as a numerical simulation example to assess the performance of the proposed method. The illustrated results show that the new two-step MFI method can more effectively identify the moving forces compared to the conventional TDM and the improved Tikhonov regularization method, the proposed new method can provide more accurate MFI results on two moving forces under eight combinations of bridge responses.

关键词： Bridges Force Time division multiplexing Acceleration Particle swarm optimization Time-domain analysis Numerical simulation

来源：评论

学校读者我要写书评

暂无评论

Identification of joint equivalent parameters via combining PSO with FE model updating

Identification of joint equivalent parameters via combining ...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Wenfeng Luo Ling Yu Department of Mechanics and Civil Engineering Jinan University Guangzhou China MOE Key Lab of Disaster Forecast and Control in Engineering Jinan University Guangzhou China

ISBN: (纸本)9781509040940

In this study, the finite element (FE) model updating method and particle swarm optimization (PSO) algorithm are combined to identify joint equivalent parameters by converting the inverse problem into an optimization problem. First, the natural frequency and frequency response function (FRF) of assembled structures are regarded as an index of the dynamic characteristics. The objective function is defined by minimizing index relative errors between FE model and assembled structures. And then the PSO algorithm is used to solve the optimization problem. The noise effect on the method is also considered. The illustrated numerical simulation results show that the proposed method can identify the equivalent parameters with a good robustness to noises as well as with a high efficiency.

关键词： Fasteners Linear programming Mathematical model Heuristic algorithms Computational modeling Algorithm design and analysis Damping

来源：评论

学校读者我要写书评

暂无评论

Mechanical Deformation Mechanism of Fiber Reinforced Composites T-joints

引用

IOP Conference Series: Materials Science and engineering 2017年第1期207卷

作者： Wei Su Ke-qiang Cheng Ren-huai Liu Shi-qing Huang Science and Technology on Reliability Physics and Application Technology of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China MOE Key Lab of Disaster Forecast and Control in Engineering Jinan University Guangzhou China Department of Mechanics and Civil Engineering Jinan University Guangzhou China

In this paper, we focus on the need for ideal theory analytical solution of mechanical deformation mechanism for T-joints. Through removing unnecessary constraints, stress equivalence system of T-joints can be established by force method. Solution equations of unknown nodal forces and the total vertical displacement can also be obtained, and this result can be used to evaluate strength of FRC T-joints.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fracture failure analysis of Fiber Reinforced Composites T-joints

引用

IOP Conference Series: Materials Science and engineering 2017年第1期207卷

作者： Wei Su De-zhi Kong Ren-huai Liu Shi-qing Huang Science and Technology on Reliability Physics and Application Technology of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China MOE Key Lab of Disaster Forecast and Control in Engineering Jinan University Guangzhou China Department of Mechanics and Civil Engineering Jinan University Guangzhou China

This paper discusses staple FRP T-joints on the project based on the classical beam theory of Euler-Bernoulli and a theoretical model of energy release rate is set up to discuss fracture propagation of composite T-joints. The paper is further analysis on fracture failure affected by composite pane depth and joints chamfer dimension parameters and so on. The conclusion benefit for extensive use of projects is also summarized.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An improved PSO-NM algorithm for structural damage detection 6th

An improved PSO-NM algorithm for structural damage detection

引用

6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

作者： Chen, Zepeng Yu, Ling Department of Mechanics and Civil Engineering Jinan University Guangzhou510632 China MOE Key Lab of Disaster Forecast and Control In Engineering Jinan University Guangzhou510632 China

ISBN: (纸本)9783319204659

A hybrid particle swarm optimization (PSO) combined with an improved Nelder-Mead algorithm (NMA) is proposed and introduced into the field of structural damage detection (SDD). The improved NMA chooses parts of subplanes of the n-simplex for optimization, a two-step method uses modal strain energy based index (MSEBI) to locate damage firstly, and both of them can reduce the computational cost of the basic PSO-Nelder-Mead (PSO-NM). An index of solution assurance criteria (SAC) is defined to describe the correlation between the identified and actual damage of structures. Numerical simulations on a 2-storey frame model is adopted to assess the performance of the proposed hybrid method. The illustrated results show that the improved PSONM can provide a reliable tool for accurate SDD in both single and multiple damage cases. Meanwhile, the improved PSO-NM algorithm has a good robustness to noises contaminated in mode shapes. © Springer International Publishing Switzerland 2015.

关键词： Strain energy

来源：评论

学校读者我要写书评

暂无评论

Structural damage detection and moving force identification based on firefly algorithm 6th

Structural damage detection and moving force identification ...

引用

6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

作者： Pan, Chudong Yu, Ling Department of Mechanics and Civil Engineering Jinan University Guangzhou510632 China MOE Key Lab of Disaster Forecast and Control in Engineering Jinan University Guangzhou510632 China

ISBN: (纸本)9783319204659

Based on firefly algorithm (FA), a structural damage detection (SDD) and moving force identification (MFI) method is proposed in this paper. The basic principle of FA is introduced, some key parameters, such as light intensity, attractiveness, and rules of attraction are defined. The moving forcesinduced responses of damage structures are defined as a function of both damage factors and moving forces. By minimizing the difference between the real and calculated responses with given damage factors and moving forces, the identified problem is transformed into a constrained optimization problem and then it can be hopefully solved by the FA. In order to assess the accuracy and the feasibility of the proposed method, a three-span continuous beam subjected to moving forces is taken as an example for numerical simulations. The illustrated results show that the method can simultaneously identify the structural damages and moving forces with a good accuracy and better robustness to noise. © Springer International Publishing Switzerland 2015.

关键词： Structural health monitoring

来源：评论

学校读者我要写书评

暂无评论

A novel two-step intelligent algorithm for damage detection of beam-like structures

A novel two-step intelligent algorithm for damage detection ...

引用

International Conference on Natural Computation (ICNC)

作者： Zepeng Chen Ling Yu Department of Mechanics and Civil Engineering Jinan University Guangzhou China MOE Key Lab of Disaster Forecast and Control in Engineering Jinan University Guangzhou China

A novel two-step intelligent algorithm is proposed for structural damage detection (SDD) by combining particle swarm optimization and Nelder-Mead (PSO-NM) algorithm, in which two steps are deployed for exploring a better balance between computational efficiency and accuracy. In the first step, a modal strain energy based index (MSEBI) is defined and used to precisely locate damages of structures. In the second step, structural damage extent is determined by PSO-NM algorithm. Some beam-like structures are adopted to assess its applicability. A parametric study and the effect of measurement noise on the method are also considered. The illustrated numerical simulation results show that the novel method can not only locate structural damage but also identify damage extent of beam-like structures with a good robustness to noises.

关键词： Optimization Shape Algorithm design and analysis Strain Computational efficiency Particle swarm optimization Indexes

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：