The paper mainly describes the detailed study resulted on bending carrying capacity of two kinds of cold-formedsteel beam with abroach and asymmetric section. This paper has completed 9 groups tests of torsion bending, and totally 12 specimen based on the current theory, deducing the critical moment of asymmetric section under lateral loading, providing the formula of coefficient of integral stability, and compared with tests results determined the simplified formula for engineering design.
In this paper, the double lipped channel cold-formed steel column is analyzed by finite element method. Compared with the code both at home and abroad, convenient and practical design formulas have been figured out. The finite element model in this paper was compared with existing data analysis, and the results show that the model precision can meet the needs of the analysis. Through finite element analysis of double lipped channel cold-formed steel column, we can get the influence of a relative size, the plate width, on the bearing capacity of the local stability. The specification about plate buckling under the influence of the common effect of the different types of adjacent panel has no clear rules. Under even pressure, we get the general calculation formula under certain conditions. The conclusion can be used for reference in the standard revision.
In this paper, the bottom frame beam of container building is analyzed by finite element method, and compared with the experimental results, the accuracy of the model is verified to meet the needs of the analysis. On this basis, by changing the stiffening position of the upper flange, the height of the web, the load layout and the thickness of the wall, the variation of the stability bearing capacity of the bottom frame beam was studied, the control factors affecting the stability bearing capacity of the bottom frame beam were obtained, and the selection suggestions were given.
With the development of Internet of Things technology, the intelligent window is entering people’s lives. There are many intelligent window products in the market, but most of them are costly or functions-limited with insufficient consideration of intelligence and humanization. Therefore, an intelligent window monitoring system based on Alibaba Cloud is introduced in this paper. This product can be automatically controlled according to environmental changes or manually controlled using the APP/infrared remote control. The indoor situation is displayed on the mobile phone and OLED screen in real-time, so that people can always grasp the situation and make correct judgment and operation in time. The product has a wide scope of applications. It is suitable for most families, rich in functions, more humanized, and has certain practicality.
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