Study of Concrete Strength and Pore Structure Model Based on Grey Relation Entropy

Zhang, Min; Yao, Xianhua; Guan, Junfeng; Li, Lielie; Wang, Juan; Qing, Longbang

doi:10.3390/ma14020432

Cited by 17 publications

(11 citation statements)

References 24 publications

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“…The average value of the grey correlation coefficients is taken as the correlation degree. The closer the value is to 1, the better the correlation degree is [23,25,26].…”

Section: Grey Correlation Analysis Methodsmentioning

confidence: 99%

“…To some extent, porosity, pore diameter, and pore size distribution have a vital influence on the macro performance of the high water grouting material, and thus, the grey correlation theory was applied to evaluate the correlation between pore structure and compressive strength [23,25,26]. Furthermore, the relevant equation was established.…”

Section: The Relationship Between Pore Structure and Compressive Strengthmentioning

confidence: 99%

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The Relationship between Compressive Strength and Pore Structure of the High Water Grouting Material

Han

Xia

et al. 2021

Crystals

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To elucidate the relationship between compressive strength and pore structure of the high water grouting material with different water-binder ratios and CaO contents, the compressive strength was tested while pore structure including pore characteristic parameters and pore diameter distribution were investigated by BET, MIP, and 3D-XRM. Moreover, the evolution of hydration products was observed by TGA and SEM, illustrating the reactive mechanism of the material. Furthermore, the grey correlation coefficients between compressive strength and pore structure parameters were illustrated according to the grey correlation theory. The results show that CaO content in lime is proportional to the compressive strength with the water-binder ratio of 1.0 or 1.5, while the inverse trend appears with the water-binder ratio of 2.0. The high water grouting material belongs to the macropore material with the pores mainly within 100 nm to 2 μm. Its hydration products contain ettringite crystals, aluminum gels, and C-S-H gels. The productions of the hydration products are positively correlated with its compressive strength. In addition, the compressive strength of the high water grouting material is closely related to the pore characteristic parameters and the pore size distribution, especially the porosity, the most probable pore diameter, and the pore volumes within 100~500 nm and 10~100 nm.

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“…The average value of the grey correlation coefficients is taken as the correlation degree. The closer the value is to 1, the better the correlation degree is [23,25,26].…”

Section: Grey Correlation Analysis Methodsmentioning

confidence: 99%

Section: The Relationship Between Pore Structure and Compressive Strengthmentioning

confidence: 99%

The Relationship between Compressive Strength and Pore Structure of the High Water Grouting Material

Han

Xia

et al. 2021

Crystals

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“…Zhao et al (Zhao et al, 2014) established an extended the "Bhattacharjee" model (Rakesh and BHATTACHARJEE, 2003) considering porosity, average pore size, and hydration degree, which can clearly describe the relationship between the pore structure characteristics and strength of cement mortar. Based on this model, Zhang et al (Zhang et al, 2021) analyzed the influence of pore size distribution on strength, obtained the sensitive pore size that affects the compressive strength of concrete, and corrected the existing model according to the sensitivity coefficient. The results indicated that this model possessed a greater correlation with the calculation results than the existing model.…”

Section: Influence Mechanism Of Pore Distribution On Mechanical Stren...mentioning

confidence: 99%

“…α is the degree of hydration, and d m is the average pore size Bu and TIAN (2016) σ σ 0 exp(aP + bL + cr 2 ′ + dd 0 ) L is the total pore volume parameter, r 2 ′ is the pore shape parameter, and d 0 is the critical pore diameter. The aforementioned parameters can be obtained from the MIP curve Zhang et al (2021) σ αK 2 B s √ C(1 − P)/ d m C is the cement content parameter, K 2 is the experimental constant, B s is the sensitive pore size distribution coefficient, and α is the coefficient…”

Section: References Model Remarkmentioning

confidence: 99%

The mechanical properties of concrete in water environment: A review

Wang

Sun

et al. 2022

Front. Mater.

Self Cite

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The service performance of concrete structures in a water environment differs from that in a normal environment. An accurate evaluation of the mechanical properties and service status of wet concrete is related to the reliable design and safe operation of concrete structures, e.g., hydraulics, marine engineering, bridges, and tunnels. To promote the application of new and high-performance concrete to complex water environments and grasp the future development trend, the research progress on the service performance of concrete in water environments was reviewed worldwide. Starting from the internal water content of concrete, the existing research is combed, the influence of water content, water pressure, and loading rate on the static and dynamic characteristics of concrete in a water environment is summarized, and the influence mechanism is analyzed. The literature review demonstrates that the static compressive strength of wet concrete is lower than that of dry concrete; however, the elastic modulus improves. With an increase in the strain rate, the compressive strength of wet and dry concretes improves, and the rate sensitivity of the wet concrete is greater than that of the normal concrete. Pore structure characteristics mainly affect the static strength of the wet concrete. The improvement in the dynamic strength of the wet concrete is caused by the combined effect of the concrete rate sensitivity, “Stefan” effect, and water pressure.

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“…e closer the two compared sequences are, the larger the correlation degree is, and the inverse also holds [21]. In this paper, Dunn's correlation degree model is used, and the expression [22] is…”

Section: Grey Relational Analysis Evaluation Modelmentioning

confidence: 99%

Durability Evaluation of Concrete in Cold and Arid Regions Based on Grey Relational Theory

Gong

Liang

Zhang

et al. 2022

Advances in Civil Engineering

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Aiming at the outstanding problem of concrete durability in cold and arid regions, the Datonghe-Qingwangchuan Diversion Project in Gansu Province, China, was used as a typical research area, and erosion products were determined by field sampling and laboratory XRD analysis. Three durability evaluation indices, namely, the mass loss rate, relative dynamic elastic modulus (RDEM), and compressive strength loss rate, were measured via indoor accelerated testing. Based on grey relational theory, a concrete durability evaluation model was constructed. The critical failure values of the three evaluation indices were introduced as a set of data to optimize the model and determine the grey relational degree of each group of concrete specimens under different working conditions. The results show that using the test results and the optimized grey relational analysis evaluation model, the concrete specimens mixed with an air-entraining agent have strong resistance to composite erosion. The durability of concrete specimens with an air-entraining agent content of 0.016% and fly ash content of 15% is better, and a high content (30%) of fly ash accelerates the damage of concrete specimens. The model calculations are consistent with the test results. This method can solve the problem of the durability of concrete specimens in the whole test cycle not being fully evaluated. The results of the study provide useful references for concrete mix proportion optimization and durability evaluation problems.

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Study of Concrete Strength and Pore Structure Model Based on Grey Relation Entropy

Cited by 17 publications

References 24 publications

The Relationship between Compressive Strength and Pore Structure of the High Water Grouting Material

The Relationship between Compressive Strength and Pore Structure of the High Water Grouting Material

The mechanical properties of concrete in water environment: A review

Durability Evaluation of Concrete in Cold and Arid Regions Based on Grey Relational Theory

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