On the Homogeneity of Microstructure and Mechanical Properties for Stream Generator Tube Sheet

张乐福,; 马武江,; 何龙,; 张浩,; 王元华,; 邓松,; 刘庆冬,

doi:10.3901/jme.2018.10.103

JME

2018

DOI: 10.3901/jme.2018.10.103

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On the Homogeneity of Microstructure and Mechanical Properties for Stream Generator Tube Sheet

张乐福张乐福¹,

马武江马武江²,

何龙何龙³

et al.

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A vibration-based approach for damage identification and monitoring of prefabricated beam bridges

Han

Dan

et al. 2022

Structural Health Monitoring

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As one of the most sophisticated structural types in rapid industrialized bridge construction technology, the fabricated beam bridge has been widely used in road network system for a long time. The prominent disease of this type of structure is the degradation of the lateral cooperative capability, that is, the deterioration of the hinge joint stiffness. This paper proposes a monitoring and evaluation method for the lateral connection stiffness based on the multiple-beams theory, which has the concise physical meanings and can be easily implemented. On this basis, a new damage identification method and index extracted from the mode shape information of the system is proposed in this paper. To verify the effectiveness of the proposed indicator ARCR, Shanghai Tongji Road viaduct is taken as the engineering background. Results shows that the theoretical analysis results are consistent with physical truth, the proposed indicator can reasonably reflect the degradation degree of the joint and locate the damaged joint.

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A vibration-based approach for damage identification and monitoring of prefabricated beam bridges

Han

Dan

et al. 2022

Structural Health Monitoring

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Dog recognition in public places based on convolutional neural network

Ouyang

et al. 2019

International Journal of Distributed Sensor Networks

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With the increase in the number of dogs in the city, the dogs can be seen everywhere in public places. At the same time, more and more stray dogs appear in public places where dogs are prohibited, which has a certain impact on the city environment and personal safety. In view of this, we propose a novel algorithm that combines dense-scale invariant feature transform and convolutional neural network to solve dog recognition problems in public places. First, the image is divided into several grids; then, the dense-scale invariant feature transform algorithm is used to split and combine the descriptors, and the channel information of the eight directions of the image is extracted as the input of the convolutional neural network; and finally, we design a convolutional neural network based on Adam optimization algorithm and cross-entropy to identify the dog species. The experimental results show that the algorithm can fully combine the advantages of dense-scale invariant feature transform and convolutional neural network to achieve dog recognition in public places, and the correct rate is 94.2%.

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On the Homogeneity of Microstructure and Mechanical Properties for Stream Generator Tube Sheet

Cited by 2 publications

References 0 publications

A vibration-based approach for damage identification and monitoring of prefabricated beam bridges

A vibration-based approach for damage identification and monitoring of prefabricated beam bridges

Dog recognition in public places based on convolutional neural network

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