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聚丙烯纤维砂浆拉伸试验及三维分形破裂面分析*
宣卫红,王艳,陈育志,王潘绣,陈晓洪,王瑶
摘 要
(金陵科技学院建筑工程学院, 南京 211169)
 
[摘要]运用分形理论及递归算法编制VB程序,随机构造出纤维砂浆拉伸试件三维分形破裂面进行分析。结果表明,聚丙烯纤维水泥基材拉伸承载力由水泥基材三维破裂面正截面承载力、水泥基材三维破裂面拉力方向截面承载力以及聚丙烯纤维水泥基材粘结力三部分构成,较未掺纤维试件仅有水泥基材正截面承载力有所提高。采用所提出的三维分形破裂面的分析方法随机统计分析了聚丙烯纤维砂浆试件的直接拉伸承载力,与试验值相差在5%以内。因此,水泥基材中大量乱向分布的低弹性模量纤维能够阻碍裂缝的扩展,形成更为复杂的破裂面,提高了纤维水泥基材的抗拉强度。
[关键词]聚丙烯纤维; 分形; 递归算法; 拉伸承载力; 补强作用机理
中图分类号:TU521      文献标识码:A      文章编号:1002-848X(2014)22-0082-04
 
Tensile test of polypropylene fiber mortar  and three-dimensional fractal fracture surface  analysis
Xuan Weihong, Wang Yan, Chen Yuzhi, Wang Panxiu, Chen Xiaohong, Wang Yao
(Architectural Engineering Institute, Jinling Institute of Technology, Nanjing 211169, China)
 
Abstract: By using the fractal theory and the recursive algorithm VB program, a threedimensional fractal fracture surface of a fiber mortar tensile test specimen was randomly constructed and analyzed. Research results show that the tensile bearing capacity of polypropylene fiber-cement base material is composed of three parts of the normal section bearing capacity of three-dimensional failure surface based on cement base material, the tensile-directional section bearing capacity of three-dimensional failure surface based on cement base material, and cohesive bearing capacity of polypropylene fiber-cement base material. Compared with test specimens without fiber, only the normal section bearing capacity of three-dimensional failure surface based on cement base material improves. The proposed three-dimensional fractal fracture surface analysis method of random statistical analysis was used to analyze direct tensile bearing capacity of the polypropylene fiber mortar specimen and the error is within 5% compared with test values. Therefore, random-distributed low elastic modulus in cement base material can hinder the crack development and form more complex fracture surface to improve the tensile strength of the fiber cement base material.
Keywords: polypropylene fiber; fractal; recursive algorithm; tensile strength; reinforcing mechanism
*江苏省产学研联合创新资金项目(BY2012039),金陵科技学院博士启动基金项目(jit-b-201107)。
作者简介:宣卫红,博士,教授,Email:xuanwh2004@sina.com。
 
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