X-ray computed tomography to measure real-time porosity in bedload transport experiment

A dataset using medical X-rays computed tomography (CT) is presented for evaluating bed load transport based on the dune-tracking technique. In order to test the method, a calibration technique for porosity measurements is proposed and is applied to a set of current-generated sand ripple experiments conducted in a small hydraulic flume. The medical CT scanner coupled to a Particle image velocimetry (PIV) system provide bed and hydraulic characteristics, respectively, for each condition tested. The dataset also includes Acoustic Doppler velocimetry profiler (ADVP).The data outlines the advantage of combining CT-PIV non-intrusive measurements to quantify the bedload instantaneously and spatially.

本数据集采用医用X射线计算机断层扫描（CT）技术，用于基于沙波追踪技术的推移质输运评估。为验证所提方法，本文提出一种孔隙率测量校准技术，并将其应用于小型水力水槽内开展的一系列水流生成沙波纹实验。医用CT扫描仪与粒子图像测速（PIV）系统分别为各测试工况提供床面特性与水力特性参数。本数据集同时涵盖声学多普勒流速剖面仪（ADVP）的相关数据。该数据集验证了结合CT-PIV非侵入式测量手段，可实现推移质输运的瞬时与空间量化的优势。