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Detecting steel rods and micro-piles: A case history in a civil engineering application

机译:检测钢棒和微桩:土木工程应用中的案例历史

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Investigating engineered structures with GPR is challenging because quite often the scale of important features is similar or smaller that the natural scale of heterogeneity in the material.In this paper I summarize the key factors and use numerical simulations and real data examples to illustrate the tradeoff between detection and resolution. The targets were micro-piles and steel bars with diameters 0.13. m and 0.02. m, respectively, and embedded in an ancient wall that consists of an aggregate of stones ranging in size from 1. cm to half meter, mortar and air. The data were collected with center frequency antennas of 200, 600, 2000. MHz which provide increasing resolution. The model and measurement results indicate that lower resolution may result in a better understanding of the structure imaged with GPR. In fact, high resolution profiles show enhanced anomalies caused by heterogeneities in the host material, making data interpretation more difficult.This study shows that GPR survey design must be clear about the particular engineering objective and requires selecting the optimal frequency and bandwidth depending on the target dimension.
机译:用GPR研究工程结构具有挑战性,因为重要特征的尺度通常与材料中异质性的自然尺度相似或更小。在本文中,我总结了关键因素,并使用数值模拟和实际数据示例来说明两者之间的权衡检测和解决。目标是直径为0.13的微型桩和钢筋。 m和0.02。分别埋藏在一块古老的墙壁中,墙壁由大小从1.厘米到半米的各种石头,砂浆和空气组成。使用200、600、2000.MHz的中心频率天线收集了数据,这些天线提供了更高的分辨率。模型和测量结果表明,较低的分辨率可能会更好地理解GPR成像的结构。实际上,高分辨率剖面图显示出由于基质材料异质性导致的异常增强,使数据解释更加困难。这项研究表明,GPR勘测设计必须明确特定的工程目标,并需要根据目标选择最佳频率和带宽尺寸。

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