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Phagocytosis-based camera-in-situ method for pile load testing

机译:基于吞噬作用的原位摄像头桩载荷测试方法

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This paper reports a novel camera-in-situ methodology to calculate pile settlements through nodal displacements, using a biologically inspired mechanism of phagocytosis to correlate successive images. An x-y grid is placed on the pile-head and high resolution images are captured through a DSLR camera, remotely. Software is also developed and presented herein which automatically interprets the captured-images into nodal pixel indices and subsequently into actual nodal displacements. The software adopts a methodology analogous to that of a monocyte searching for bacteria in its vicinity, to search each node in successive images. Moreover, conventional linear-variable-differential-transformer-based methodology is adopted to validate the results of the presented technique. It is found that the presented approach is in conformance with the guidelines set forth by ASTM standard for static pile load testing, in addition to the advantages of being completely autonomous and free of any embedded instrumentation on the pile.
机译:本文报道了一种新颖的原位相机方法,该方法通过利用生物启发机制的吞噬作用来关联连续图像,从而通过节点位移计算桩沉降。在桩头上放置一个x-y网格,并通过DSLR相机远程捕获高分辨率图像。本文还开发并提供了软件,该软件可自动将捕获的图像解释为节点像素索引,然后解释为实际节点位移。该软件采用类似于单核细胞在其附近搜索细菌的方法,以在连续图像中搜索每个节点。此外,采用常规的基于线性可变差动变压器的方法来验证所提出的技术的结果。发现该方法除了具有完全自主且在桩上没有任何嵌入式仪器的优点之外,还符合ASTM标准针对静态桩载荷测试提出的准则。

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