Review on Relationships of Temperature History, Fatigue Damage and Microstructure Evolution Mechanism of Concrete

2014 ◽  
Vol 584-586 ◽  
pp. 944-950 ◽  
Author(s):  
Dong Fu Zhao ◽  
Mei Liu ◽  
Shi Ji Zhang
Keyword(s):  
High Temperature ◽  
Fatigue Damage ◽  
Microstructure Evolution ◽  
Research Direction ◽  
Concrete Research ◽  
Temperature History ◽  
Evolution Mechanism ◽  
Main Research ◽  
High Temperature Process ◽  
Application Prospects

The domestic and overseas research progresses of microstructure of the concrete and fatigue damage after treated by high temperature are reviewed. The main research direction and current shortage on the high temperature process, fatigue damage and the microstructure evolution mechanism of concrete are discussed. A view of the application prospects of concrete research on the high temperature process, fatigue damage and the microstructure evolution mechanism of concrete is forecast.

The Current Situation and Development Trend of Electroforming

2014 ◽  
Vol 960-961 ◽  
pp. 103-108
Author(s):  
Wu Xin Yu ◽  
Shi Qian Zhou
Keyword(s):  
Composite Materials ◽  
Research Direction ◽  
Development Trend ◽  
Current Situation ◽  
Micro Fabrication ◽  
Broad Application ◽  
Main Research ◽  
Research Status ◽  
Application Prospects

Electroforming technology is an important part of micro fabrication andfine parts and composite materials prepared by the electroforming technology has broad application prospects. This paper describes the principle and method of electroforming, introduces the development and the basic elements of electroforming, then concludes the research status and main research direction and trend of this technology.

Research Progress of Nanometer Titanium Dioxide Application

2014 ◽  
Vol 881-883 ◽  
pp. 948-951 ◽  
Author(s):  
Chun Wu ◽  
Wen Xin Ma ◽  
Ya Ping Chen ◽  
Ying Li ◽  
Yan Chen ◽  
...  
Keyword(s):  
Titanium Dioxide ◽  
Solar Cell ◽  
Hot Spot ◽  
Research Direction ◽  
Research Progress ◽  
Broad Application ◽  
Main Research ◽  
Nanometer Titanium Dioxide ◽  
Chemical Water ◽  
Application Prospects

nanoTiO2 has many excellent properties, showing increasingly broad application prospects, the application of nanometer titanium dioxide research thus became one of the hot spot of research. Mainly in the field of chemical, water treatment field, environmental protection, electrode and nanoTiO2 solar cell areas, the application of the research were summarized, the shortage of the current in the research are pointed out, looks forward to the main research direction in the future.

scholarly journals Research on the Fatigue Properties of High Strength Concrete after Exposure to High Temperature under Low Cyclic Compressive Loading

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Linhao Wang ◽  
Haijing Gao ◽  
Haibiao Gao ◽  
Zhili Luo
Keyword(s):  
High Temperature ◽  
Fatigue Damage ◽  
High Strength Concrete ◽  
Testing Machine ◽  
Compressive Loading ◽  
High Strength ◽  
Repeated Loading ◽  
Regression Equations ◽  
Strength Concrete ◽  
High Temperature Process

By using an electrohydraulic servo fatigue testing machine, fatigue tests were performed on C60 high strength concrete (HSC) under low cyclic compressive loading after undergoing normal temperature, 200°C, 400°C, 600°C, and 800°C. Failure patterns of high strength concrete under low cyclic compressive loading were observed. The influence of the high temperature process on the static elastic modulus of high strength concrete was analyzed. By studying the development law of fatigue strain, regression equations of fatigue strain after different high temperatures were established. Furthermore, the fatigue deformation modulus ratio was defined as the damage variable and the relationship models between the high temperature process and the fatigue damage were established. It provides the experimental foundation for fatigue damage analysis of high strength concrete in objective working conditions, which includes repeated loading and different high temperature processes.

scholarly journals Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 651
Author(s):  
Shengyi Zhao ◽  
Yun Peng ◽  
Jizhan Liu ◽  
Shuo Wu
Keyword(s):  
Neural Network ◽  
High Performance ◽  
Model Comparison ◽  
Research Direction ◽  
Disease Diagnosis ◽  
Tomato Leaf ◽  
Identification Accuracy ◽  
Main Research ◽  
Proposed Model ◽  
Complex Features

Crop disease diagnosis is of great significance to crop yield and agricultural production. Deep learning methods have become the main research direction to solve the diagnosis of crop diseases. This paper proposed a deep convolutional neural network that integrates an attention mechanism, which can better adapt to the diagnosis of a variety of tomato leaf diseases. The network structure mainly includes residual blocks and attention extraction modules. The model can accurately extract complex features of various diseases. Extensive comparative experiment results show that the proposed model achieves the average identification accuracy of 96.81% on the tomato leaf diseases dataset. It proves that the model has significant advantages in terms of network complexity and real-time performance compared with other models. Moreover, through the model comparison experiment on the grape leaf diseases public dataset, the proposed model also achieves better results, and the average identification accuracy of 99.24%. It is certified that add the attention module can more accurately extract the complex features of a variety of diseases and has fewer parameters. The proposed model provides a high-performance solution for crop diagnosis under the real agricultural environment.

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