Intelligent aluminum alloy bar concrete structure, and manufacturing and construction method thereof

Abstract

The invention discloses an intelligent aluminum alloy bar concrete structure, and a manufacturing and construction method thereof. A skeleton of the concrete structure consists of aluminum alloy bars, and the aluminum alloy bars contain intelligent aluminum alloy bars. Each aluminum alloy bar is formed as follows: a groove is formed in aluminum alloy, a fiber grating sensor is placed in the groove, and the inner wall of the groove and the fiber grating sensor are coated with protective layers. The intelligent aluminum alloy bar concrete structure provided by the invention is lightweight, high-strength and corrosion-resistant, improves the durability of the concrete structure, can monitor the stress and safety health of the concrete structure in real time and perform early warning, and has high strain measuring precision and is low in cost.

Description

technical field [0001] The invention belongs to the technical field of bridge structures, and in particular relates to an intelligent aluminum alloy reinforced concrete structure and its manufacturing and construction methods. Background technique [0002] At present, in the construction process of bridge structures in my country, reinforced concrete structures are mainly used. The steel bars are used as the skeleton in the concrete to bear the load together with the concrete. The stress status of the steel bars in the key parts of the structure and the parts concerned with stress is not clear, and the stress of the steel bars cannot be real-time online. Health monitoring, and the accuracy is not high, there are the following problems: [0003] (1) Corrosion of steel bars, especially in coastal areas, seriously affects the safety and durability of bridges. At present, many bridges work with cracks. The steel bars in the concrete are in contact with the air and are prone to c...

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Problems solved by technology

[0002] At present, in the construction process of bridge structures in my country, reinforced concrete structures are mainly used. The steel bars are used as the skeleton in the concrete to bear the load together with the concrete. The stress status of the steel bars in the key parts of the structure and the parts of stress concern is not clear, and the stress of the steel bars cannot be real-time online. Health monitoring, and the accuracy is not high, there are the following problems:

[0003] (1) Corrosion of steel bars, especially in coastal areas, seriously affects the safety and durability of bridges

At present, many bridges are working with cracks. The steel bars in the concrete are in contact with the air and are prone to corrosion under the action of the environment. This will not only weaken the effective cross-section of the steel bars, but also further expand the cracks and seriously affect the safety and durability of the bridge. This phenomenon is especially obvious in coastal areas. In addition, underwater structures in coastal areas, such as bridge piers, abutments, foundations, etc., are more likely to cause steel bars to corrode under the action of seawater.

[0004] (2) The steel bars in the concrete structure are heavy, and it is inconvenient to hoist and transport during the construction process, which limits the spanning capacity of the concrete beam

[0005] (3) The stress of steel bars in concrete members is not clear, and the health status is not easy to monitor

The bridge collapse accidents that occurred in recent years have caused huge loss of life and property and adverse social impact, and gradually aroused people's attention to the safety of bridges. Bridge health monitoring is an important development direction of bridges in the future, and bridge components are monitored online in real time around the clock And transmission is an important feature of it. For the key stress-bearing parts of the structure, such as the key parts of the main girder and bridge piers, and the corbels, etc., the steel bars in the existing concrete cannot achieve real-time monitoring and early warning.

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