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PVDF膜材双轴全域拉伸非线性及力学参数研究OA北大核心

Study on biaxial full-stress tensile nonlinear behavior and mechanical parameters of PVDF membrane material

中文摘要英文摘要

为了明确织物膜材从拉伸到破坏整个过程的双轴拉伸性能,以典型PVDF涂层聚酯织物为研究对象,通过七个应力比下的双轴单调拉伸试验,利用编写的MATLAB程序获得了涂层织物复杂的变形性能和精确的弹性参数,并对其变形和力学参数进行响应面分析,揭示了涂层织物在不同应力水平和应力比下弹性模量、泊松比和正交各向异性的演化规律.结果表明,全域应力范围内材料的弹性参数和正交各向异性特征随着应力比和应力水平的改变而显著变化.此外,基于单、双轴拉伸应力-应变的关系,引入了表示双轴单调拉伸试验中拉伸与收缩比例的刚度耦合系数,推导出了弹性模量公式,其计算值与试验值吻合较好.研究所得结论可为膜结构工程中织物膜材的拉伸力学性能以及膜面破坏分析提供有益参考.

To define the biaxial tensile properties of fabric membrane material within the full-stress range,the biaxial monotonic tensile experiments of typical PVDF coated fabric were conducted by setting seven loading ratios.A developed MATLAB program was used to achieve complex deformation properties and accurate elastic parameters of the coated fabric.By this program,the response surface analysis of deformation and mechanical parameters were carried out to reveal the variation and evolution in elasticity modulus,Poisson's ratio,and orthotropy of the coated fabric under different stress levels and ratios.The results show that elastic parameters and orthotropic characteristics of the material vary noteworthily with stress ratios and levels within the full-stress range.In addition,coupled stiff-ness coefficient was introduced to represent the proportion of elongation and shrinkage in biaxial monotonic tensile test.The formula of elasticity modulus was derived based on the uniaxial and biaxial tensile stress-strain relation,and the obtained values were in good agreement with the experiment values.The conclusions of investigation could offer beneficial reference for tensile mechanical property of coated fabrics and membrane failure analysis in mem-brane structure engineering.

张燚聪;陈建稳

南京理工大学理学院,南京 210094

平纹织物膜材响应面双轴单调拉伸弹性参数全域应力范围复合材料

plain woven fabricsresponse surfacebiaxial monotonic tensileelastic parametersfull-stress rangecomposites

《复合材料科学与工程》 2024 (004)

5-13,39 / 10

国家自然科学基金项目(51608270);江苏省基础研究计划(自然科学基金)资助项目(BK20191290);中央高校基本科研业务费专项资金(30920021143);中国博士后科学基金资助项目(2017T100371,2016M601816)

10.19936/j.cnki.2096-8000.20240428.001

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