Hao Jiang , Rongxin Zhu , Yan Liu , Zongzhe Man , Zhiyuan Yang , Yingkai Wu , Xiaowei Li , Yu Jiang , Qifeng Xiao , Zhenkun Lei , Ruixiang Bai
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Batch modeling calculation was conducted within the designed range of the geometric parameters of the specimen. The generated ideal strain field data were substituted into the virtual fields method to invert and identify the stiffness coefficients. The optimized geometry of the specimen was determined according to the objective function of minimum error. Through a tensile experiment on glass fiber composites, the influence of specimen deformation on the identification results was assessed, and the load level suitable for parameter identification was determined. Based on the results, it can be concluded that the inversion identification accuracy meets the requirements of engineering measurement.</p></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666682023000816/pdfft?md5=1180bb54ba1d0d5b75c0e7c349adc844&pid=1-s2.0-S2666682023000816-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Study on the optimal design of specimens for stiffness coefficients identification of glass fiber-reinforced polymer composites by virtual fields method\",\"authors\":\"Hao Jiang , Rongxin Zhu , Yan Liu , Zongzhe Man , Zhiyuan Yang , Yingkai Wu , Xiaowei Li , Yu Jiang , Qifeng Xiao , Zhenkun Lei , Ruixiang Bai\",\"doi\":\"10.1016/j.jcomc.2023.100425\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Glass fiber-reinforced polymer composites are important structural materials and are widely used in structure engineering. 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Through a tensile experiment on glass fiber composites, the influence of specimen deformation on the identification results was assessed, and the load level suitable for parameter identification was determined. 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引用次数: 0
摘要
玻璃纤维增强聚合物复合材料是一种重要的结构材料,被广泛应用于结构工程中。本研究提出了一种新型 V 型缺口非标准拉伸试样。通过虚拟场法,只需进行一次单轴拉伸试验,即可获得玻璃纤维增强聚合物复合材料的所有面内刚度系数。首先,介绍了在单轴拉伸试验中反演各向同性材料弹性组成参数的特殊虚拟场方法。利用有限元模拟实验对试样的几何设计进行了优化。在试样几何参数的设计范围内进行了批量建模计算。将生成的理想应变场数据代入虚拟场方法,反演并确定刚度系数。根据误差最小的目标函数,确定了试样的优化几何参数。通过对玻璃纤维复合材料的拉伸实验,评估了试样变形对识别结果的影响,并确定了适合参数识别的载荷水平。根据这些结果,可以得出反演识别精度满足工程测量要求的结论。
Study on the optimal design of specimens for stiffness coefficients identification of glass fiber-reinforced polymer composites by virtual fields method
Glass fiber-reinforced polymer composites are important structural materials and are widely used in structure engineering. In this study, a new V-notch non-standard tensile specimen is proposed. All the in-plane stiffness coefficients of glass fiber-reinforced polymer composites could be obtained by the virtual fields method with only one uniaxial tensile test. First, the special virtual fields method for inversion of elastic constitutive parameters of orthotropic materials in the uniaxial tensile test was introduced. The optimization of the geometrical design of the specimen was conducted using finite element simulation experiments. Batch modeling calculation was conducted within the designed range of the geometric parameters of the specimen. The generated ideal strain field data were substituted into the virtual fields method to invert and identify the stiffness coefficients. The optimized geometry of the specimen was determined according to the objective function of minimum error. Through a tensile experiment on glass fiber composites, the influence of specimen deformation on the identification results was assessed, and the load level suitable for parameter identification was determined. Based on the results, it can be concluded that the inversion identification accuracy meets the requirements of engineering measurement.