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玻璃纤维复合材料拉伸试验及强度预测模型
引用本文:满兴博,李钢锋,李永金,孙清,赵雪灵,王虎长.玻璃纤维复合材料拉伸试验及强度预测模型[J].电力建设,2013,34(12):97-101.
作者姓名:满兴博  李钢锋  李永金  孙清  赵雪灵  王虎长
作者单位:1.西安交通大学,西安市 710049;2.中国电力工程顾问集团公司西北电力设计院,西安市 710075
基金项目:中国电力顾问集团公司科技项目(DT2-T02-2011)
摘    要:为了探究单向玻璃纤维复合材料(glass fiber reinforced polymer,GFRP)的性能,采用2种成型工艺制备了GFRP,并进行拉伸强度试验,测定了GFRP的极限强度,研究成型工艺对其拉伸强度的影响。对传统单向纤维复合材料拉伸强度预测模型进行了改进,提出了基于纤维强度服从正态分布的单向纤维复合材料纵向拉伸强度预测模型。试验结果与模型预测结果对比表明,所提出的预测模型具有良好的精度。

关 键 词:玻璃纤维复合材料  拉伸强度  正态分布  预测模型  

Tensile Strength Experiment of GFRP and Prediction Model
M AN Xingbo;LI Gangfeng;LI Yongjin;SUN Qing;ZHAO Xueling;WANG Huchang.Tensile Strength Experiment of GFRP and Prediction Model[J].Electric Power Construction,2013,34(12):97-101.
Authors:M AN Xingbo;LI Gangfeng;LI Yongjin;SUN Qing;ZHAO Xueling;WANG Huchang
Affiliation:1.Xi'an Jiaotong University, Xi'an 710049, China;2.Northwest Electric Power Design Institute of CPECC, Xi'an 710075, China
Abstract:In order to study the properties of the unidirectional glass fiber reinforced polymer ( GFRP), this paper prepared two kinds of specimens with different forming processes for tensile strength testing. In this experiment, the ultimate strength of the GFRP material was measured and the impact of forming process was studied. Then, the prediction model for the tensile strength of traditional unidirectional fiber composite was improved by using a normal distribution to describe longitudinal tensile strength. The predictions of the model are in good agreement with the actual response obtained by the experiment.
Keywords:glass fiber reinforced polymer (GFRP)  tensile strength  normal distribution  prediction model
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