B-value Based Damage Source Localization and Classification Using Acoustic Emission (AE) Data for Concrete Cylinders Wrapped with Hybrid FRCM Composites

IF 7 Q2 MATERIALS SCIENCE, COMPOSITES
Nikhil Holsamudrkar, Sauvik Banerjee
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Abstract

Structural health monitoring (SHM) of multi-component strengthening systems, such as impregnated fiber-reinforced cementitious matrix (FRCM) composites, presents significant challenges. Previous studies have focused on damage detection and classification using the acoustic emission (AE) technique. However, damage localization in such strengthened systems remains unexplored due to the varying material velocities in the fabric, pre-impregnation matrix, cementitious matrix, and concrete. This paper proposes a simplified b-value-based damage localization approach for FRCM-wrapped concrete cylinders. The study involves strengthening six concrete cylinders with pre-impregnated fabric and a spike mechanical anchorage system. Additionally, AE-based health monitoring is employed during uniaxial compression testing. The results demonstrate that mechanical anchorage and pre-impregnation improves the overall confinement capacity by about 40%–49% compared to unconfined specimens. Whereas, spatial b-value-based damage localization, implemented using a wrapped cylinder algorithm, accurately predicts severe damage locations. Furthermore, the cumulative second-order entropy trend strongly correlates with the cumulative signal strength trend, suggesting that feature-based damage detection can be considered a reliable approach.

Abstract Image

基于b值的复合材料包裹混凝土圆柱体损伤源定位与声发射分类
多组分强化体系(如浸渍纤维增强胶凝基复合材料)的结构健康监测(SHM)面临着重大挑战。以往的研究主要集中在利用声发射(AE)技术进行损伤检测和分类。然而,由于织物、预浸渍基质、胶凝基质和混凝土中的材料速度不同,这种强化体系的损伤定位仍未得到探索。提出了一种简化的基于b值的frp - cm包裹混凝土柱损伤定位方法。该研究涉及用预浸渍织物和钉机械锚固系统加固六个混凝土圆柱体。此外,在单轴压缩测试期间使用基于ae的运行状况监视。结果表明:与无约束试件相比,机械锚固和预浸渍可使试件的整体约束能力提高40% ~ 49%;而使用包裹圆柱算法实现的基于空间b值的损伤定位,能够准确预测严重损伤的位置。此外,累积二阶熵趋势与累积信号强度趋势密切相关,表明基于特征的损伤检测可以被认为是一种可靠的方法。
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来源期刊
Composites Part C Open Access
Composites Part C Open Access Engineering-Mechanical Engineering
CiteScore
8.60
自引率
2.40%
发文量
96
审稿时长
55 days
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