碳纤维复合材料在高原环境下的损伤机理与耐久性预测

Damage Mechanisms and Durability Prediction of Carbon Fiber Reinforced Polymer Composites in Plateau Environments

  • 摘要: 本研究系统探讨了碳纤维增强聚合物(CFRP)板材在多种严苛服役环境中的耐久性能退化规律,旨在破解CFRP在高原环境中长期耐久性评估的关键难题。通过模拟自然气候、加速老化及动植物产生的有机酸腐蚀等典型环境,采用力学测试结合数学模型拟合,对不同环境下CFRP性能衰减进行定量分析。结果表明,CFRP在各环境中均呈显著的时间依赖性强度退化。28 天老化后,自然室外环境试件的剩余强度保留率为79.6%,人工加速老化环境为75.1%,而在pH = 1的强酸环境中仅浸泡7 天,剩余强度即降至65.3%。基于剩余强度与老化时间对数的线性关系模型,得到各环境的衰减系数。本研究首次构建了覆盖自然气候、加速老化和化学腐蚀三类环境的CFRP强度退化预测模型,明确了环境类型与性能退化速率的定量关联,为在高原环境下准确评估CFRP加固结构的长期性能演变及服役寿命提供了理论依据和数据支撑。

     

    Abstract: A systematic study was conducted on the durability performance degradation laws of Carbon Fiber Reinforced Polymer (CFRP) plates under various harsh environments, aiming to address the critical challenge of long-term durability assessment for CFRP in civil engineering applications. By simulating typical service environments such as natural climate, accelerated aging, and typical environment such as corrosion of organic acids produced by plants and animals, the performance degradation patterns of CFRP materials under different environmental conditions were quantitatively analyzed using a combination of peak load-bearing capacity tests and mathematical model fitting. The research results indicate that CFRP materials exhibit significant time-dependent strength degradation under all tested environmental conditions. After 28 days of aging, the residual strength retention rates were 79.6% for specimens in natural outdoor environments, 75.1% for those in artificial accelerated aging environments, while specimens immersed in a strong acidic environment with pH=1 showed a dramatic reduction to just 65.3% after only 7 days. By establishing a linear relationship model between residual strength and the logarithm of aging time, quantitative degradation coefficients for different environmental conditions were obtained. This study establishes for the first time a predictive model for CFRP strength degradation that encompasses natural climate, accelerated aging, and chemical corrosion environments, clarifying the quantitative relationship between environmental types and performance degradation rates. It provides important theoretical foundations and data support for accurately evaluating the long-term performance evolution and predicting the service life of CFRP-strengthened structures in complex environments.

     

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