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  • Open Access


    A Review on Sources, Extractions and Analysis Methods of a Sustainable Biomaterial: Tannins

    Antonio Pizzi1,*, Marie-Pierre Laborie2,3, Zeki Candan4

    Journal of Renewable Materials, Vol.12, No.3, pp. 397-425, 2024, DOI:10.32604/jrm.2023.046074

    Abstract Condensed and hydrolysable tannins are non-toxic natural polyphenols that are a commercial commodity industrialized for tanning hides to obtain leather and for a growing number of other industrial applications mainly to substitute petroleum-based products. They are a definite class of sustainable materials of the forestry industry. They have been in operation for hundreds of years to manufacture leather and now for a growing number of applications in a variety of other industries, such as wood adhesives, metal coating, pharmaceutical/medical applications and several others. This review presents the main sources, either already or potentially commercial of More > Graphic Abstract

    A Review on Sources, Extractions and Analysis Methods of a Sustainable Biomaterial: Tannins

  • Open Access


    Sensitivity of Sample for Simulation-Based Reliability Analysis Methods

    Xiukai Yuan1,2,*, Jian Gu1, Shaolong Liu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 331-357, 2021, DOI:10.32604/cmes.2021.010482

    Abstract In structural reliability analysis, simulation methods are widely used. The statistical characteristics of failure probability estimate of these methods have been well investigated. In this study, the sensitivities of the failure probability estimate and its statistical characteristics with regard to sample, called ‘contribution indexes’, are proposed to measure the contribution of sample. The contribution indexes in four widely simulation methods, i.e., Monte Carlo simulation (MCS), importance sampling (IS), line sampling (LS) and subset simulation (SS) are derived and analyzed. The proposed contribution indexes of sample can provide valuable information understanding the methods deeply, and enlighten More >

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