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硅酸盐通报 ›› 2025, Vol. 44 ›› Issue (10): 3620-3633.DOI: 10.16552/j.cnki.issn1001-1625.2025.0484

• 水泥混凝土 • 上一篇    下一篇

基于GMM-SVM的泡沫混凝土冻融损伤类型声发射信号识别

龚琳玲1,2, 陈波1,2, 周程涛1,2,3   

  1. 1.河海大学水灾害防御全国重点实验室,南京 210098;
    2.河海大学水利水电学院,南京 210098;
    3.华能澜沧江水电股份有限公司,昆明 650214
  • 收稿日期:2025-05-12 修订日期:2025-06-19 出版日期:2025-10-15 发布日期:2025-11-03
  • 通信作者: 陈 波,博士,教授。E-mail:chenbo@hhu.edu.cn
  • 作者简介:龚琳玲(2003—),女,硕士研究生。主要从事水工混凝土新材料方面的研究。E-mail:3244530435@qq.com
  • 基金资助:
    国家自然科学基金面上项目(52079049);国家自然科学基金重点项目(51739003);国家重点实验室基本科研业务费(522012272)

Acoustic Emission Signal Recognition of Freeze-Thaw Damage Type of Foam Concrete Based on GMM-SVM

GONG Linling1,2, CHEN Bo1,2, ZHOU Chengtao1,2,3   

  1. 1. State Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China;
    2. College of Water-Conservancy and Hydropower, Hohai University, Nanjing 210098, China;
    3. Huaneng Lancang River Hydropower Inc., Kunming 650214, China
  • Received:2025-05-12 Revised:2025-06-19 Published:2025-10-15 Online:2025-11-03

摘要: 为了解泡沫混凝土冻融损伤演化规律,精准判别其损伤类型,对不同冻融次数的泡沫混凝土在不同加载速率下开展了单轴压缩-声发射联合试验,通过高斯混合模型(GMM)聚类获得声发射信号标签数据,利用支持向量机(SVM)分离数据中的交叉簇,提出一种基于GMM-SVM算法的声发射信号损伤模式识别新方法。结果表明:冻融作用会加快泡沫混凝土破坏特性由脆性向延性转变;加载前期张拉应力主导泡沫混凝土损伤模式,剪切应力随加载进程逐渐上升,在失稳破坏阶段达到最大,张拉裂纹占比最大降幅达41.25%;通过GMM-SVM算法,可精准区分拉剪破裂的交叉簇,经检验,此方法可与泡沫混凝土全加载过程不同损伤模式相对应。

关键词: 泡沫混凝土, 冻融损伤, 声发射, 裂纹分类, 高斯混合模型, 支持向量机

Abstract: In order to understand the evolution regularity of freeze-thaw damage of foam concrete and accurately identify its damage type, uniaxial compression-acoustic emission joint tests were carried out on foam concrete with different freeze-thaw times at different loading rates. The acoustic emission signal label data were obtained by Gaussian mixture model (GMM) clustering, and the cross clusters in the data were separated by support vector machine (SVM). A new method of acoustic emission signal damage pattern recognition based on GMM-SVM algorithm was proposed. The results show that freeze-thaw action will accelerate the transformation of foam concrete failure characteristics from brittleness to ductility. The tensile stress dominates the damage mode of foam concrete in the early stage of loading, and the shear stress increases gradually with the loading process and reaches the maximum in the unstable failure stage, and the maximum decrease in the proportion of tensile cracks is 41.25%. Through the GMM-SVM algorithm, the cross-cluster of tensile-shear fracture can be accurately distinguished. It is verified that this method can correspond to different damage modes of foam concrete throughout the full loading process.

Key words: foam concrete, freeze-thaw damage, acoustic emission, crack classification, Gaussian mixture model, support vector machine

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