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  • Open Access

    ARTICLE

    Analysis on Pore Structure of Non-Dispersible Underwater Concrete in Saline Soil Area

    Fang Liu1, Baomin Wang2,*, Mengsai Wang2, Xiaosa Yuan1

    Journal of Renewable Materials, Vol.9, No.4, pp. 723-742, 2021, DOI:10.32604/jrm.2021.013664 - 01 February 2021

    Abstract

    In this paper, mercury intrusion porosimetry (MIP) is used to test the pore structure of non-dispersible underwater concrete so as to study the influence of pouring and curing environment, age and slag powder on the pore characteristics of concrete, analyze the pore characteristics, porosity and pore distribution of concrete in different hydration stages, and reveal the relationship between pore structure and permeability of concrete. The results show that the pore-size distribution of concrete in fresh water condition is better than that in sulfate environment and mixed salt environment, and therefore, sulfate as well as mixed salt

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  • Open Access

    ARTICLE

    Characterization and modeling of the multiscale pore structures for porous materials

    X.F. Guan1, X. Liu2, J.Z. Cui3

    CMES-Computer Modeling in Engineering & Sciences, Vol.91, No.6, pp. 425-444, 2013, DOI:10.3970/cmes.2013.091.425

    Abstract In this paper, a stochastic geometrical modeling method for reconstructing three dimensional multiscale pore structures of porous materials is presented. In this method, the pore structure in porous materials is represented by a random but spatially correlated pore-network, in which the results of the Mercury Intrusion Porosimetry (MIP) experiment are used as the basic input information. Beside that, based on the Monte Carlo techniques, an effective computer generation algorithm is developed, and the quantities to evaluate the properties of porous materials are defined and described. Furthermore, numerical implementations are conducted based on experimental data afterwards. More >

  • Open Access

    ARTICLE

    Classification and Optimization Model of Mesoporous Carbons Pore Structure and Adsorption Properties Based on Support Vector Machine

    Zhen Yang1, Xingsheng Gu2, Xiaoyi Liang1,3

    CMES-Computer Modeling in Engineering & Sciences, Vol.74, No.3&4, pp. 161-182, 2011, DOI:10.3970/cmes.2011.074.161

    Abstract Mesoporous carbons are synthesized by organic-organic self-assembly of triblock copolymer F127 and a new type of carbon precursor as resorcinol-furfural oligomers. Some factors will impact the mesoporous carbons pore structure and properties were studied. The main factors, such as the ratio of triblock copolymer F127 and oligomers, degree of polymerizstry of resorcinol-furfural oligomers, the ratio of resorcinol-furfural oligomers - F/R, and their mutual relations were identified. Aimed at balancing the complex characteristic of mesoporous structure and adsorption properties, a classification and optimization model based on support vector machine is developed. The optimal operation conditions of More >

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