Method for predicting durability life of concrete based on Birnbaum-Saunders distribution

A technology of life prediction and concrete, which is applied in the direction of measuring devices, analytical materials, instruments, etc., can solve problems such as multi-parameters, difficult to be widely used, complex mathematical models, etc., and achieve the effect of high reliability and wide application range

Active Publication Date: 2020-09-08
LANZHOU UNIVERSITY OF TECHNOLOGY
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  • Description
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Problems solved by technology

However, due to my country's vast territory and complex and changeable climate, there are many factors affecting the durability of concrete, and the damage and degradation mechanisms of different factors are different, making it difficult to accurately predict the life of concrete.
At the same time, the current concrete life prediction methods are mostly based on the mathematical model established by Fick's second law, which not only needs to obtain the diffusion depth of chloride ions, CO2, etc. Many parameters are required, which is not conducive to the realization of fast and accurate life prediction
In addition, part of the life prediction is based on the damage evolution equation. This method not only requires a large number of systematic experiments to determine the parameters, but also can only be used for a specific damage process, so it is difficult to be widely used in actual engineering.

Method used

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  • Method for predicting durability life of concrete based on Birnbaum-Saunders distribution
  • Method for predicting durability life of concrete based on Birnbaum-Saunders distribution
  • Method for predicting durability life of concrete based on Birnbaum-Saunders distribution

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Experimental program
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Effect test

Embodiment 1

[0020] A concrete durability life prediction method based on Birnbaum-Saunders distribution, comprising the following steps:

[0021] (1) Testing the initial dynamic elastic modulus E of concrete 0 , the dynamic elastic modulus E at time t of service in a certain service environment j (t) and adjacent t j-1 The dynamic elastic modulus E at time j-1 (t);

[0022] (2) Input E j (t) and E j-1 (t), according to the formula Er j (t)=E j (t) / E 0 and Er j-1 (t)=E j-1 (t) / E 0 Calculate the relative dynamic elastic modulus Er at time t j (t) and adjacent t j-1 The relative dynamic elastic modulus Er at time j-1 (t);

[0023] (3) Enter Er j (t) and Er j-1 (t), according to the formula ΔE j =(Er j (t)-Er j-1 (t)) / Δt calculates the relative dynamic elastic modulus change over time at two adjacent moments of the jth test;

[0024] Among them, 1≤j≤n, n is a positive integer, n>1, Δt is time t and t j-1 the number of days between time intervals;

[0025] (4) Input ΔE j...

Embodiment 2

[0031] (1) The following composition ratios are used to form the concrete, and the composition ratios of the concrete are shown in Table 1:

[0032] Table 1 Concrete composition ratio (Kg / m 3 )

[0033] Specimen No. cement fly ash Coarse aggregate fine aggregate water Superplasticizer rust inhibitor water-binder ratio C35 test piece 300 90 1153 621 148.2 1.8 36 0.38 C40 test piece 320 96 1111 681 145.6 2.1 36 0.35 C45 test piece 340 102 1100 720 141.5 3.5 36 0.32

[0034] (2) Durability test

[0035] The standard curing 28-day concrete specimen was placed in the Golmud saline soil environment for field tests, and the dynamic elastic modulus value of the concrete specimen was tested every 150 days. The dynamic elastic modulus data obtained are shown in Table 2:

[0036] Table 2 Dynamic elastic modulus data (GPa)

[0037] Specimen No. 0 days 150 days 300 days 450 days 600 days 750 days ...

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Abstract

The invention provides a method for predicting the durability life of concrete based on Birnbaum-Saunders distribution. The method is simple, convenient, high in reliability and wide in application range; the simplicity is reflected in that the service life can be predicted through the method only by detecting to obtain the dynamic elastic modulus value of the concrete; corresponding parameters can be obtained without a large number of experiments; the high reliability is reflected in that the dynamic elastic modulus value is not fitted or mathematical hypothesis is adopted in the life prediction process; the application range is wide, life prediction can be carried out on various concrete service environments including a corrosion environment and freeze-thaw damage and dry-wet cycle environments caused by climate changes, and a series of problems that an existing life prediction technology is narrow in application range, complex in calculation, high in prediction cost and the like aresolved.

Description

technical field [0001] The invention belongs to the technical field of civil engineering, and more specifically relates to a concrete durability life prediction method based on Birnbaum-Saunders distribution. Background technique [0002] In the field of civil engineering, accurately predicting the service life of concrete not only plays an important role in ensuring the safe use of concrete structures, but also can carry out necessary reinforcement and maintenance before it fails. However, due to my country's vast territory and complex and changeable climate, there are many factors affecting the durability of concrete, and the damage and degradation mechanisms of different factors are different, making it difficult to accurately predict the life of concrete. At the same time, the current concrete life prediction methods are mostly based on the mathematical model established by Fick's second law, which not only needs to obtain chloride ions, CO 2 The diffusion depth is equa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/38
CPCG01N33/383
Inventor 路承功乔宏霞魏智强李刊张云升乔国斌王习付勇郭健杨博曹辉李琼冯琼薛翠真
Owner LANZHOU UNIVERSITY OF TECHNOLOGY
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