Automating post-processing of high volumes of velocity time-series: A software approach

M. A. Jesson, J. Bridgeman, M. Sterling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes software developments designed to automate the parsing, filtering (despiking) and calculation of mean flow and turbulence parameters of velocity time-series. The software was written to facilitate the processing of the large number of time-series (approximately 4000) generated by the authors' experimental work, mapping velocity and turbulence fields in a laboratory flume using an acoustic Doppler velocimeter. The software will import all, or selected, data files from a specified directory, despike them using one of a number of filters (phase-space thresholding, for example) and graphically present the parameter distribution over the cross-section under investigation. Many different data file formats are supported, including Nortek binary formats, Turbulent Flow Instrumentation "Cobra" probe format and delimited plain-text files, meaning that the software has applications in a significant number of different environmental engineering applications where large data sets are routinely collected and analysed.

Original languageEnglish
Title of host publicationCivil-Comp Proceedings
Volume102
Publication statusPublished - 1 Dec 2013
Event14th International Conference on Civil, Structural and Environmental Engineering Computing, CC 2013 - Cagliari, Sardinia, United Kingdom
Duration: 3 Sept 20136 Sept 2013

Conference

Conference14th International Conference on Civil, Structural and Environmental Engineering Computing, CC 2013
Country/TerritoryUnited Kingdom
CityCagliari, Sardinia
Period3/09/136/09/13

Keywords

  • Acoustic doppler velocimeter
  • Batch processing
  • Despiking
  • Filtering
  • Fluid mechanics
  • Phase-space thresholding
  • Software
  • Turbulence

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Civil and Structural Engineering
  • Artificial Intelligence
  • Environmental Engineering

Fingerprint

Dive into the research topics of 'Automating post-processing of high volumes of velocity time-series: A software approach'. Together they form a unique fingerprint.

Cite this