基于深度信念网络的玄武岩纤维增强树脂复合材料耐久性预测

Durability prediction of basalt fiber reinforced polymer composite based on deep belief network

  • 摘要: 采用紫外线老化试验箱模拟大气环境中的紫外线进行加速老化试验,对玄武岩纤维增强树脂复合材料(BFRP)及环氧树脂在紫外线环境中的耐久性进行了研究。通过BFRP及环氧树脂经紫外线老化后的拉伸强度、弹性模量、断裂延伸率的变化,结合深度信念网络(DBN)的方法,预测BFRP及环氧树脂拉伸强度、弹性模量的变化趋势;并提出以同批次非破坏性试件的弹性模量作为BFRP耐久性的评价指标。结果表明,随着老化时间的延长,BFRP及环氧树脂的拉伸强度及断裂延伸率均先提高后下降,但弹性模量趋于平缓下降; DBN得到的预测值与试验值相对误差基本在10%以内,表明DBN进行BFRP及环氧树脂耐久性预测的有效性;以非破坏性试件的弹性模量来评价BFRP的耐久性更具科学性。

     

    Abstract: The durability of basalt fiber reinforced polymer (BFRP) and epoxy resin in ultraviolet radiation environment was studied by accelerated aging test using ultraviolet radiation aging chamber to simulate ultraviolet radiation in atmospheric environment. Based on the changes of tensile strength, modulus of elasticity and elongation at break of BFRP and epoxy resin after ultraviolet aging, combined with the method of deep belief network(DBN), the changing trend of tensile strength and modulus of elasticity of BFRP and epoxy resin was predicted, and the modulus of elasticity of non-destructive samples in the same batch was proposed as the evaluation index of durability of BFRP. The results show that the tensile strength and elongation at break of BFRP and epoxy resin increase first and then decrease with aging time, but the modulus of elasticity tends to decrease gently. The relative error between the predicted value and experimental value obtained by DBN is less than 10%. The validity of predicting durability of BFRP and epoxy resin by DBN is non-destructive. It is more scientific to evaluate the durability of BFRP by the elastic modulus of sexual specimens.

     

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