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Ultimate Strength Analysis of Three-Way Pipe Considering Plastic Reinforcement Effect

Journal of Physics: Conference Series 2020年第2期1650卷

作者： Wei Su Wenhao Luo Xianshan Dong Renhuai Liu MOE Key lab of Disaster Forecast and Control in Engineering Guangzhou 510632 China. Science and Technology on Reliability Physics and Application Technology of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou 510610 China. School of Mechanics and Construction Engineering Jinan University Guangzhou 510632 China

Considering the plastic reinforcement effect in materials, the plastic limit load of the three-way structure is analyzed. ANSYS commercial finite element software is used for numerical simulation. According to the results, the paper discusses the influence of the plastic reinforcement effect on the pipe's plastic ultimate load and failure mode. And the structure is further analyzed to verify the theory and design ideas in actual engineering. For improving the design and safety assessment of the three-way structure, the results provide a theoretical basis and a numerical reference, and the finite element method is economical than the experimental method. At last, it satisfies the accuracy requirements of engineering.

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Wave Soldering Structure Optimization Simulation of Multi-layer Ceramic Capacitors

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Journal of Physics: Conference Series 2020年第3期1650卷

作者： Wei Su Wenhao Luo Junkui Li Renhuai Liu MOE Key lab of Disaster Forecast and Control in Engineering Guangzhou 510632 China. Science and Technology on Reliability Physics and Application Technology of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou 510610 China. School of Mechanics and Construction Engineering Jinan University Guangzhou 510632 China

In this paper, the thermal analysis and structural analysis of MLCC are carried out by using the commercial finite element software ANSYS. By comparing the thermal-mechanical analysis results of the structural optimization models of different schemes, the optimal optimization scheme is found. The model calculated the time required for MLCC to reach temperature stability considering thermal convection and heat conduction, and obtained the thermal deformation and thermal stress distribution of MLCC element. Based on the analysis results of MLCC original model, the thermal analysis under different wave soldering temperatures was carried out. Based on the simulated transient results, the structure and materials of MLCC key components were optimized. The results provide a basis for the optimal design of MLCC.

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Ultimate Strength Analysis of Local Thinning Tee Pipe Considering Plastic Strengthening Effect

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Journal of Physics: Conference Series 2020年第2期1650卷

In this paper, the locally thinned three-way structure under internal pressure is analyzed based on the theory of plastic strengthening effect and limit analysis. A finite element model is presented through ANSYS commercial software to simulate the mechanical properties of orthogonal and oblique three-way structures. This paper systematically analyses how the shape and size of the thinning effect the plastic limit load of the pipe and what is the typical failure mode of plastic failure. Some valuable conclusions are drawn, which provide a useful reference for the design and production of the tee pipe.

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An improved nelder-mead algorithm for optimization problem on structural damage detection 24th

An improved nelder-mead algorithm for optimization problem o...

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24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM 2016

作者： Chen, Zepeng Yu, Ling 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)9781138029934

structural Damage Detection (SDD) is one of fundamental objectives in the field of structural health monitoring. Usually, the SDD problem can be transformed into an optimal problem by introducing objective functions mathematically. Many methodologies have been developed and achieved great success in the last few decades. However, their calculation efficiency and accuracy are still required to be improved. In this study, an Improved Nelder-Mead (INM) simplex algorithm is proposed for the SDD optimal problem by embedding the Nelder-Mead process into Particle Swarm Optimization (PSO) algorithm. The hybrid algorithm is named PSO-INM. In order to get better results, two filter strategies are proposed based on fitness values and index stability factor. Numerical simulations of a thin-walled hollow simply-supported beam are conducted to assess effectiveness of both PSO-INM and two proposed strategies. The results show that the PSO-INM algorithm and strategies proposed herein are able to locate structural damages as well as to quantify extents of damages with a good noise immunity. Some related issues are discussed as well. © 2017 Taylor & Francis Group, London.

关键词： structural health monitoring

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Output-only structural damage detection based on hard-threshold method: Theoretical study 8

Output-only structural damage detection based on hard-thresh...

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

作者： Pan, C.D. 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) with a vehicle-bridge system has been widely studied, since traffic excitations contribute to live load components in bridge design code. As an attempt work, this paper aims to propose an output-only SDD method based on hard-threshold strategy with unknown moving forces. Firstly, a transfer matrix is formulated between any two sensors for a healthy bridge structure. Singular value decomposition (SVD) technology is performed for the transfer matrix, and the corresponding singular vectors are used for decomposing two measured responses based on hard-threshold method. Then the decomposed results are used for estimating some singular values. Finally, a damage indicator (DI), which is defined for classifying status of structures, is calculated by comparing the differences between the estimated and true singular values. In order to assess the accuracy and feasibility of the proposed method, a simply-supported bridge subjected to one moving force is taken as an example for numerical simulations. The illustrated results show that the proposed method has a potential ability for solving the SDD problem. Some drawbacks of the proposed method are also discussed as well. © 2017 International Society for structural Health Monitoring of Intelligent Infrastrucure. All rights reserved.

关键词： Singular value decomposition

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Application of sparsity in structural damage detection 8

Application of sparsity in structural damage detection

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

作者： Chen, Z.P. 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) is one of the major subjects in the field of structural health monitoring (SHM) and various methodologies have been proposed and achieved great accuracy in such field. Inspired by the concept of sparsity, applications of sparsity in SDD are explored in this paper. First of all, an adaptive dictionary is proposed based on intrinsic mode function (IMF), which is utilized to reconstruct compressed acceleration excited by random load. The compressed accelerations are acquired under the application of compressive sensing (CS) technique. Then, as structural damages generally appear locally, SDD problem is characterized by sparsity. Sparse regularization technique is employed to solve SDD by defining two objective functions, to which different sparsity penalty items are introduced. Two iteration procedures inspired by Newton-Gauss algorithm are also presented to solve the problem. Simply-supported beam with different damage degrees are taken as numerical simulations example. The illustrated results show that the proposed method can give an accurate SDD and is robustness to noise. Some related issues are discussed as well. © 2017 International Society for structural Health Monitoring of Intelligent Infrastrucure. All rights reserved.

关键词： structural health monitoring

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RIP-based subspace projection method for structural damage detection 8

RIP-based subspace projection method for structural damage d...

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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

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Investigation on mapping relationship between deflection and cable tension by artificial neural networks 11

Investigation on mapping relationship between deflection and...

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11th International Workshop on structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017

作者： Tian, Yadi Li, Hui Key Laboratory of Intelligent Disaster Prevention and Mitigation for Civil Infrastructure Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters Ministry of Industry and Information Technology Key Laboratory of Structural Dynamic Behavior and Control School of Civil Engineering Harbin Institute of Technology Harbin150090 China

ISBN: (纸本)9781605953304

Cables usually serve as critical load-bearing structural components in cable-stayed bridges. Vertical deflection is an important overall indicator that directly reflects the health status of bridge. The relationship between cable tension and vertical deflection also reflects the underlying mechanism of structures. In this context, a machine learning-based approach is proposed. Cable tension and vertical deflection are caused by prestress, temperature and vehicle loads. In this study, we focus on the cable force and vertical deflection caused by vehicle loads. Artificial neural network (ANN) is employed as the supervised learning method to learn the relationship between cable tension and vertical deflection. Field monitored data of Jintang Bridge are used to test the validity of the proposed method. The results show that ANN is capable of modelling vertical deflection from cable tension data in the case of arbitrary vehicle distribution. The proposed method which integrates the local and global variables by using two different kinds of monitoring data, avoids the complicated mechanical derivations, and is proved to be environment-insensitive.

关键词： Neural networks

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Study on the Connecting Length of CFRP

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IOP Conference Series: Materials Science and engineering 2018年第1期362卷

作者： Xiongfei Liu Yue Li Zhanguo Li The Key Laboratory of Urban Security and Disaster Engineering MOE Beijing Key Lab of Earthquake Engineering and Structural Retrofit Beijing University of Technology Beijing 100124 China

The paper studied the varying mode of shear stress in the connecting zone of CFRP. Using epoxy resin (EP) as bond material, performance of specimens with different connecting length of CFRP was tested to obtain the conclusion. CFRP-confined concrete column was tested subsequently to verify the conclusion. The results show that: (1) The binding properties of modified epoxy resin with CFRP is good; (2) As the connecting length increased, the ultimate tensile strength of CFRP increased as well in the range of the experiment parameters; (3) Tensile strength of CFRP can reach the ultimate strength when the connecting length is 90mm;(4) The connecting length of 90mm of CFRP meet the reinforcement requirements.

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Study on Axial Compression Test of Corroded Reinforced Concrete Columns Reinforced by MPC Bonding CFRP

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IOP Conference Series: Materials Science and engineering 2018年第1期409卷

作者： Chang Zhao Yue Li Zigeng Wang Zhanguo Li The Key Laboratory of Urban Security and Disaster Engineering MOE Beijing Key Lab of Earthquake Engineering and Structural Retrofit Beijing University of Technology Beijing 100124 PR China

In this paper, reinforced concrete was first reinforced by magnesium phosphate cement (MPC) bonding carbon fiber sheets (CFRP). The axial compression test was conducted to evaluate the property of the MPC-CFRP reinforcement corroded reinforced concrete column. The results showed that the MPC-CFRP reinforcement corroded reinforced concrete columns had better structural bearing capacity and ductility in the process of compression failure.

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