An Algorithm for Flaw Detection and Sizing in Offshore Steel Structures

A. Brown, A. Al-Khalili
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引用次数: 1

Abstract

maintain a history of the flan throughout the volume of material sampled. Sucessive samples taken at different locations are then accumulated to produce a sharp image of the flan. This paper describes an algorithm for locating and sizing flaws in steel structures, in particular offshore oil rigs. The algorithm depends on the use of electronic beam steering and a personal computer mouse to correlate flaw data with position. The mouse is rolled over the surface to be investigated. At each new location, the probe collects
海上钢结构缺陷检测与尺寸确定算法
在整个取样材料的体积中保持一个馅饼的历史记录。然后,在不同位置连续采集的样品被累积起来,以产生一个清晰的馅饼图像。本文介绍了一种钢结构,特别是海洋石油钻井平台的缺陷定位和尺寸确定算法。该算法依赖于使用电子束转向和个人电脑鼠标将缺陷数据与位置关联起来。鼠标在待调查的表面上滚动。在每一个新的位置,探测器收集
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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