Towards an application of muon scattering tomography as a technique for detecting rebars in concrete
Towards an application of muon scattering tomography as a technique for detecting rebars in concrete
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DOI：
10.1088/1361-665x/ab7a3f
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发表时间：
2020-03
影响因子：
4.1
通讯作者：
M. Dobrowolska;J. Velthuis;A. Kopp;M. Perry;P. Pearson
中科院分区：
文献类型：
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作者：
M. Dobrowolska;J. Velthuis;A. Kopp;M. Perry;P. Pearson
检查世界人口老龄化的钢筋混凝土基础设施是一个数十亿美元的问题。从历史上看，结构偏离其设计或设计图纸丢失的情况并不少见。这使得资产管理人员面临一项具有挑战性的任务，即在知识不完整的情况下进行结构健康评估和维护决策。虽然目前用于检测混凝土中钢筋的技术通常限于小于50 cm的穿透深度，但μ子散射层析成像（MST）是一种非破坏性、非侵入性的技术，其对于高深度3D混凝土成像显示出巨大的前景。本文使用蒙特卡罗模拟来证明MST可以用于检测和定位长度为100 cm，直径为33.7 ± 7.3 mm的钢筋，而与钢筋在混凝土结构中的位置无关。这对应于894 ± 386 cm 3的内含物体积。对于体积大于2500 cm ~ 3的包体，重建分辨率为5.4 ± 0.3%。此外，它表明，30毫米直径的钢筋可以区分为两个单独的对象，只要它们的分离是大于40-60毫米，和单层和双层钢筋是使用该技术区分。预计MST可以为支持更明智的维护和建模的实际研究提供信息，最终允许为历史钢和混凝土结构的更大子集创建数字双胞胎。
Inspection of the world’s ageing population of reinforced concrete infrastructure is a multi-billion dollar problem. Historically, it has not been uncommon for structures to deviate from their designs,or for design drawings to be lost. This leaves asset managers the challenging task of making structural health assessments and maintenance decisions with incomplete knowledge. While current techniques for detecting rebars in concrete are typically limited to penetration depths of less than 50 cm, muon scattering tomography (MST) is a non-destructive, non-invasive technique which shows great promise for high-depth 3D concrete imaging. This paper uses Monte Carlo simulations to demonstrate that MST can be used to detect and locate 100 cm length rebars with a diameter of 33.7 ± 7.3 mm independently of the rebar’s location within a concrete structure. This corresponds to a volume of inclusion of 894 ± 386 cm3. The volume of the inclusion can be reconstructed with a resolution of 5.4 ± 0.3% for volumes above 2 500 cm3. It is furthermore demonstrated that 30 mm diameter rebars can be distinguished as two separate objects provided their separation is more than 40–60 mm, and that single and double layers of rebars are distinguishable using the technique. It is anticipated that MST could inform practical studies which support more informed maintenance and modeling, eventually allowing digital twins to be created for a larger subset of historical steel and concrete structures.