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Microstructure-Property Relationships in Cementitious Materials: A Multiscale Study

发布时间:2020-08-13    浏览次数:748


报告题目:Microstructure-Property Relationships in Cementitious Materials: A Multiscale Study
报 告 人: 张明中 (终身副教授/博士生导师)
主 请 人: 元强教授
                 张明中,荷兰代尔夫特理工大学博士,英国曼彻斯特大学博士后,英国高等教育学会会士,现任QS世界大学排名第八、“英国G5超级精英大学”之一的伦敦大学学院(UCL)土木工程系终身副教授、博士生导师,曾获得2018年UCL优秀教师提名奖、2020年UCL优秀博士生导师提名奖。其主要研究领域包括:先进土木工程材料及其工程应用、多尺度计算模拟、混凝土结构耐久性、钢管混凝土、纤维增强复合材料与结构等。目前已出版英文专著1部、英文会议论文集1本,在Cement and Concrete Research、Cement and Concrete Composites、Composites Part B、Composite Structures等土木工程国际权威SCI期刊发表学术论文50余篇,论文累计被引用1000余次(H因子 = 21)。现指导博士后1名,博士研究生6名,独立主持英国工程与自然科学研究理事会(EPSRC)、英国皇家学会和英国文化协会等各类纵向基金项目7项,累计纵向科研经费超过1000万元。受邀担任EPSRC、英国皇家学会、英国文化协会、捷克科学基金委员会和阿联酋基金委员会基金评审专家,S
时  间:2020年8月15日,下午2:30-4:30
地  点:腾讯会议室:894 115 699

Concrete as a composite material exhibits characteristics of inhomogeneity and anisotropy due to the random distribution of irregular voids and coarse aggregates embedded in mortar consisting of cement paste, fine aggregates and interfacial transitional zone at meso-scale. The mechanical and transport properties of cementitious materials are highly dependent on the random distribution of various phases over the micro-, meso- and macro-scales. Among them, transport properties (e.g. permeability and diffusivity) of cementitious materials are usually considered as the main indicators for durability assessment and service life prediction of reinforced concrete structures. Therefore, it is not only of scientific interest but of practical importance to investigate the microstructure-property relationships in cementitious materials. This study presents some advanced techniques for characterisation and modelling of three-dimensional microstructures of cementitious materials at different length scales as well as a novel integrated framework for modelling the static and dynamic fracture behaviour and transport properties of cementitious materials accounting for their microstructures, the results of which are validated with experimental data.



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