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Probability prediction method for chloride ion concentration of concrete surface of marine tidal zone

A technology of concrete surface, chloride ion concentration, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the lack of universality, does not consider the influence of mineral admixture types and exposure time, and cannot consider probability The influence of distribution characteristics, etc., to achieve the effect of overcoming technical defects

Inactive Publication Date: 2017-12-19
GUANGXI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The above papers are mainly based on field test data to analyze the influence of dry-wet time ratio and compressive stress on the chloride ion concentration on the concrete surface and the time-varying characteristics of the chloride ion concentration on the concrete surface, but no prediction model for the chloride ion concentration on the concrete surface in the ocean tidal zone has been established.
[0006] JTS 153-2015 "Durability Design Standards for Water Transport Engineering Structures" issued by the Ministry of Transport of the People's Republic of China in 2015 uses the water-cement ratio as the control parameter to establish a prediction model for the concentration of chloride ions on the concrete surface in the ocean water level fluctuation area, but does not consider Effect of mineral admixture type and exposure time
[0007] In 2010, Wang Xiaozhou and Jin Weiliang published a paper titled "Research on the Chloride Ion Erosion Law in the Dry-wet Alternating Area of ​​Concrete Structure of Seaport Wharf", based on the on-site detection data of the ocean tidal zone of Zhapu Port Wharf in Zhejiang, comprehensively considering the ambient temperature and relative humidity , seawater infiltration time and water-binder ratio, and established a prediction model for the concentration of chloride ions on the concrete surface in the ocean tidal zone, but this model did not consider the impact of the type of mineral admixture and exposure time on the concentration of chloride ions on the concrete surface, and was based on Established on-site detection data of specific geographical and environmental conditions at Zhapu Port, Zhejiang, lack of universality
The model considers comprehensive factors, but it belongs to the deterministic prediction model, which can only guarantee the overall optimum of the prediction results and test values, but cannot describe the probability distribution characteristics of the chloride ion concentration on the concrete surface
[0009] In 2013, Zhong Xiaoping, Jin Weiliang, and Wang Yi published a paper titled "Criteria for Values ​​of Variable Effects of Concrete Structures in Port Engineering", combined with literature research and engineering experience, determined the concentration of chloride ions on the concrete surface in the ocean tidal splash zone However, the influence of the water-binder ratio, the type of mineral admixture and the exposure time on the probability distribution characteristics of the chloride ion concentration on the concrete surface in the ocean tidal zone cannot be considered
[0010] So far, there is no report on a probabilistic prediction method that can not only comprehensively consider the influence of water-cement ratio, concrete type and exposure time, but also reasonably describe the probability distribution characteristics of the chloride ion concentration on the concrete surface in the ocean tidal zone.

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  • Probability prediction method for chloride ion concentration of concrete surface of marine tidal zone
  • Probability prediction method for chloride ion concentration of concrete surface of marine tidal zone
  • Probability prediction method for chloride ion concentration of concrete surface of marine tidal zone

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Embodiment 1

[0044] In this example, water-to-cement ratio R W / B =0.35, the single-mixed fly ash concrete of exposure time t=4 years is example, utilize the mean value and the standard deviation of the concrete surface chloride ion concentration of ocean tidal zone to calculate ocean tidal zone, and determine the probability of marine tidal zone concrete surface chloride ion concentration Density function, and then carry out comparative analysis with field measured data, to verify the validity of the method of the present invention.

[0045] Include the following steps:

[0046] (1) Establish a random sample point calculation model for the concentration of chloride ions on the concrete surface in the ocean tidal zone:

[0047] For single-mixed fly ash concrete, the standard deviation of the systematic error σ = 0.02%, and then combined with the concrete water-binder ratio R W / B =0.35, exposure time t=4 years, establish the chloride ion concentration C on the surface of concrete mixed wit...

Embodiment 2

[0068] This example has different water-binder ratio R W / B Ordinary Portland cement concrete with exposure time t, single-mixed slag powder concrete, single-mixed silica fume concrete, double-mixed fly ash and slag powder concrete are examples, and the method of the present invention is used to calculate the above four different types of concrete in the ocean tidal zone The mean value and standard deviation of the surface chloride ion concentration of the concrete, and determine the probability density function of the corresponding concrete surface chloride ion concentration, and then carry out comparative analysis with the traditional deterministic prediction model, to verify the superiority of the method of the present invention.

[0069] Include the following steps:

[0070] (1) Establish a random sample point calculation model for the concentration of chloride ions on the concrete surface in the ocean tidal zone:

[0071] For ordinary Portland cement concrete, the standar...

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Abstract

The invention discloses a probability prediction method for chloride ion concentration of a concrete surface of a marine tidal zone. The method comprises the following steps of (1) building a random sample point calculation model of the chloride ion concentration of the concrete surface of the marine tidal zone; (2) determining statistical eigenvalues of probability model parameters of different concretes of the marine tidal zone, and generating random sample points of the probability model parameters; and (3) generating random sample points of the chloride ion concentration of the concrete surface of the marine tidal zone, and determining a probability density function of the chloride ion concentration of the concrete surface of the marine tidal zone. According to the method, the influence of a water-binder ratio, concrete types and exposure time can be comprehensively considered, and a probability distribution characteristic of the chloride ion concentration of the concrete surface of the marine tidal zone can be reasonably described, so that the technical defect of a conventional deterministic prediction model is overcome.

Description

technical field [0001] The invention relates to a method for predicting the concentration of chloride ions on the surface of concrete, in particular to a method for probabilistically predicting the concentration of chloride ions on the surface of concrete in an ocean tidal zone. Background technique [0002] In the chloride environment in the ocean tidal zone, the corrosion of steel bars and cracking of concrete caused by the intrusion of chloride ions into the concrete are important reasons for the deterioration of the durability of concrete structures. Since the concentration of chloride ions on the surface of concrete is an important quantitative index reflecting the intensity of corrosion of concrete structures by the chloride environment in the ocean tidal zone, it is also an important quantitative boundary condition for the quantitative analysis and design of the durability of concrete structures in the chloride environment of the ocean tidal zone, so the establishment ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 余波杨绿峰黄国理刘姝妲陈正
Owner GUANGXI UNIV