首页|基于主成分方法研究钢纤维增强混凝土劈裂破坏的损伤机制

基于主成分方法研究钢纤维增强混凝土劈裂破坏的损伤机制

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研究钢纤维混凝土劈裂破坏的细观损伤机制,对在役钢纤维混凝土结构的健康检测具有重要意义.通过多通道声发射系统,采集混凝土和钢纤维混凝土试件(钢纤维含量分别为15和45 kg/m3)劈裂破坏过程中的声发射信号,并结合主成分分析法和k-means聚类算法,对混凝土和钢纤维混凝土的损伤特征进行分析.结果表明,钢纤维的加入抑制了混凝土中裂纹扩展,有效地改善了混凝土的峰后韧性;声发射计数和能量参数变化特征反映了钢纤维混凝土试件宏观变形、破坏的细观损伤演化过程.最后,识别出了钢纤维混凝土中砂浆基体开裂和钢纤维拉拔的两种损伤机制.与砂浆基体开裂相比,钢纤维拉拔产生的声发射信号具有计数高、幅值高、能量强和持续时间长的特征.
Damage mechanism of splitting failure of steel fiber-reinforced concrete based on PCA
Studying microscopic damage mechanism of splitting failure in steel fiber-reinforced concrete is of great significance for health monitoring of in-service steel fiber-reinforced concrete structures.Here,by using a multi-channel acoustic emission system,acoustic emission signals in splitting failure process of concrete specimens and steel fiber-reinforced concrete specimens with steel fiber contents of 15 and 45 kg/m3,respectively were collected.By combining principal component analysis(PCA)and k-means clustering algorithm,damage features of concrete and steel fiber reinforced concrete were analyzed.The results showed that adding steel fibers suppresses crack propagation in concrete and effectively improves post peak toughness of concrete;acoustic emission counting and energy parametric variation features reflect micro damage evolution process of macroscopic deformation and failure of steel fiber-reinforced concrete specimens;2 damage mechanisms including mortar matrix cracking and steel fiber drawing are finally identified in steel fiber-reinforced concrete;compared with mortar matrix cracking,acoustic emission signals generated by steel fiber drawing have features of high counting,high amplitude,strong energy and long duration.

steel fiber-reinforced concrete(SFRC)acoustic emissionprincipal component analysis(PCA)k-means clustering

李涛、任会兰、宁建国、宋水舟、檀日晶

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北京理工大学爆炸科学与安全防护全国重点实验室,北京 100081

北京航天发射技术研究所,北京 100076

钢纤维增强混凝土(SFRC) 声发射技术 主成分分析(PCA) k-means聚类

2025

振动与冲击
中国振动工程学会 上海交通大学 上海市振动工程学会

振动与冲击

北大核心
影响因子:0.898
ISSN:1000-3835
年,卷(期):2025.44(1)