活性混凝土梁的曲性能基于数字图像对应方法的数字图像对应方法
Hongbo Gao1, Hongna Sun1, Zhaokun Wang2
1School of Civil Engineering and Architecture, Hainan University, Haikou 570228, China.
Materials (Basel, Switzerland)
|April 24, 2025
概括
数字图像相关性 (DIC) 增强了混凝土梁分析,揭示了活性混凝土 (ALAC) 梁比普通波特兰水泥混凝土 (PCC) 梁提供更好的承载能力和位移性能.
科学领域:
- 土木工程 土木工程是指土木工程.
- 材料科学 材料科学 材料科学
- 结构工程 结构工程
背景情况:
- 活性混凝土 (ALAC) 是对普通波特兰水泥混凝土 (PCC) 的可持续替代品.
- 了解ALAC梁的曲行为对于优化其结构设计和材料性能至关重要.
- 评估混凝土梁性能的传统方法在捕捉裂传播方面可能缺乏精度.
研究的目的:
- 为了研究不同强化比的ALAC梁的曲行为.
- 为了比较数字图像相关性 (DIC) 与性能评估传统方法的有效性.
- 评估ALAC梁的机械性能和应用潜力.
主要方法:
- 在不同强化比的ALAC梁上进行了四点曲试验.
- 使用数字图像相关性 (DIC) 来测量裂纹负载,位移和裂纹宽度.
- 实验结果与传统的测量技术和既定公式进行了比较.
主要成果:
- 与传统方法相比,DIC显著提高了裂负载,位移和裂宽度测量的准确性.
- 增加ALAC梁的增强比率导致在峰值负载时的中跨位移减少.
- ALAC 梁表现出1.07 倍的承载能力,1.4 倍的中跨位移,和0.72 倍的最大裂纹宽度的 PCC 梁在等效的强化比率.
结论:
- DIC是分析混凝土梁中裂纹发起和传播的优质方法.
- ALAC 梁表现出有希望的机械行为和结构潜力,与 PCC 梁相比或优于它们.
- 对于普通混凝土的既定公式可以有效地预测ALAC梁的性能,验证它们的应用.
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