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A stochastic multiscale model for predicting mechanical properties of fiber reinforced concrete
Date:2018/1/17     Browse:646

Speaker:     Associate Prof. Xiaofei Guan

Time:          Jan   17,   10:00   —   11:00

Location:    Room 1A-200, SIST Building

Host:          Prof. Qifeng Liao

Abstract:

A stochastic multiscale computational model for predicting the mechanical properties of fiber reinforced concrete (FRC), subjected to tensile loading, is proposed. It involves the microscale, the mesoscale and the macroscale. On the mesoscale, the heterogeneity of the material is taken into account by a periodic layout of unit cells of matrix–fiber materials, consisting of short fibers and mortar. Material modeling on the microscale is characterized by a periodic layout of unit cells of matrix-aggregate composite materials, consisting of randomly distributed fine aggregate grains and cement matrix. A new unified micro–meso–macro homogenization procedure, based on two-scale asymptotic expressions, has been established. It is used for deriving formulae for multiscale analysis of FRC. The numerical results for the elastic modulus of FRC are compared with experimental results. The comparison shows that the proposed stochastic multiscale computational method is useful for determination of this mechanical property. The developed model is also applied to investigating the influence of different fiber materials on the elastic modulus, and Poisson’s ratio of FRC.

Bio:

关晓飞,同济大学数学科学学院副教授,博士生导师,现主要从事多尺度分析方法及其在材料科学与工程中的应用研究,特别是材料的物理、力学性能的多尺度关联研究,多向编织复合材料、具有随机裂隙、节理、颗粒和空隙分布随机材料的物理、力学性能的多尺度模型与计算,以及复合材料结构服役行为分析的多尺度方法研究,并建立和完善其数学理论。曾主持国家自然科学基金和同济大学课题多项,在国内外重要学术期刊发表论文20多篇。


SIST-Seminar 18006