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- 저자 : Qingtian Su (검색결과 3 건)
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Changyuan Dai,Qingtian Su,Changyu Shao,Chunlei Zhang 한국강구조학회 2024 International Journal of Steel Structures Vol.24 No.2
The outer lanes and emergency lanes of the bridge deck of long-span bridges in which orthotropic steel deck is adopted were replaced with Ultra-High-Performance-Concrete (UHPC) composite deck to create a hybrid bridge deck system. A transverse connection detail was proposed to connect the two diff erent bridge deck forms. Static bending tests and theoretical analysis were conducted on the transverse connection detail to obtain failure modes, ultimate load-carrying capacity, crack resistance, and the collaborative bending performance under positive and negative moments. A calculation method for the ultimate load-carrying capacity considering residual stresses in the UHPC after cracking was provided. The results show that the transverse connection detail has good plastic deformation capacity and collaboratively supports both sides of the bridge deck. The error in predicting the ultimate load-carrying capacity of specimens under positive bending moments using the proposed theoretical calculation method is 3.9%, and for specimens under negative bending moments, the load-carrying capacity is controlled by local buckling of the steel, with a 3.1% diff erence between theoretical and measured values.
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Chen Xu,Boyu Zhang,Siwei Liu,Qingtian Su 국제구조공학회 2020 Steel and Composite Structures, An International J Vol.35 No.3
The steel-concrete double composite girder in the negative flexural region combines an additional concrete slab to the steel bottom flange to prevent the local steel buckling, however, the additional concrete slab may lower down the neutral axis of the composite section, which is a sensitive factor to the tensile stress restraint on the concrete deck. This is actually of great importance to the structural rationality and durability, but has not been investigated in detail yet. In this case, a series of 5.5 m-long composite girder specimens were tested by negative bending, among which the bottom slab configuration and the longitudinal reinforcement ratio in the concrete deck were the parameters. Furthermore, an analytical study concerning about the influence of bottom concrete slab thickness on the cracking and sectional bending-carrying capacity were carried out. The test results showed that the additional concrete at the bottom improved the composite sectional bending stiffness and bending-carrying capacity, whereas its effect on the concrete crack distribution was not obvious. According to the analytical study, the additional concrete slab at the bottom with an equivalent thickness to the concrete deck slab may provide the best contributions to the improvements of crack initiation bending moment and the sectional bending-carrying capacity. This can be applied for the design practice.
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Classroom Roll-Call System Based on ResNet Networks
Jinlong Zhu,Fanhua Yu,Guangjie Liu,Mingyu Sun,Dong Zhao,Qingtian Geng,Jinbo Su 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.5
A convolution neural networks (CNNs) has demonstrated outstanding performance compared to otheralgorithms in the field of face recognition. Regarding the over-fitting problem of CNN, researchers haveproposed a residual network to ease the training for recognition accuracy improvement. In this study, a novelface recognition model based on game theory for call-over in the classroom was proposed. In the proposedscheme, an image with multiple faces was used as input, and the residual network identified each face with aconfidence score to form a list of student identities. Face tracking of the same identity or low confidence weredetermined to be the optimisation objective, with the game participants set formed from the student identitylist. Game theory optimises the authentication strategy according to the confidence value and identity set toimprove recognition accuracy. We observed that there exists an optimal mapping relation between face andidentity to avoid multiple faces associated with one identity in the proposed scheme and that the proposedgame-based scheme can reduce the error rate, as compared to the existing schemes with deeper neural network.
ScienceON
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