14 Citations (Scopus)

Abstract

Highlights
•Noninvasive schlieren technique was applied to characterize human exhalation.
•New methods were proposed to predict exhaled velocity um and up, respectively.
•Potential infection risk depended on breathing patterns and spatial distribution of exhaled air.
•New data was added to airflow dynamics of human breathing and CFD boundary settings.
Original languageEnglish
JournalBuilding and Environment
Volume112
Pages (from-to)190-199
Number of pages10
ISSN0360-1323
DOIs
Publication statusPublished - 2017

Fingerprint

Spatial distribution
airflow
Computational fluid dynamics
air
spatial distribution
Imaging techniques
Air
infection
method

Keywords

  • Disease transmission
  • Schlieren photography
  • Exhaled airflow
  • Propagation velocity
  • Airflow interaction

Cite this

@article{9ab1e4c826fa4005a0a5d295d2a79859,
title = "Human exhalation characterization with the aid of schlieren imaging technique",
abstract = "Highlights•Noninvasive schlieren technique was applied to characterize human exhalation.•New methods were proposed to predict exhaled velocity um and up, respectively.•Potential infection risk depended on breathing patterns and spatial distribution of exhaled air.•New data was added to airflow dynamics of human breathing and CFD boundary settings.",
keywords = "Disease transmission, Schlieren photography, Exhaled airflow, Propagation velocity, Airflow interaction",
author = "Chunwen Xu and Nielsen, {Peter Vilhelm} and Li Liu and Jensen, {Rasmus Lund} and Guangcai Gong",
year = "2017",
doi = "10.1016/j.buildenv.2016.11.032",
language = "English",
volume = "112",
pages = "190--199",
journal = "Building and Environment",
issn = "0360-1323",
publisher = "Pergamon Press",

}

Human exhalation characterization with the aid of schlieren imaging technique. / Xu, Chunwen; Nielsen, Peter Vilhelm; Liu, Li; Jensen, Rasmus Lund; Gong, Guangcai.

In: Building and Environment, Vol. 112, 2017, p. 190-199.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Human exhalation characterization with the aid of schlieren imaging technique

AU - Xu, Chunwen

AU - Nielsen, Peter Vilhelm

AU - Liu, Li

AU - Jensen, Rasmus Lund

AU - Gong, Guangcai

PY - 2017

Y1 - 2017

N2 - Highlights•Noninvasive schlieren technique was applied to characterize human exhalation.•New methods were proposed to predict exhaled velocity um and up, respectively.•Potential infection risk depended on breathing patterns and spatial distribution of exhaled air.•New data was added to airflow dynamics of human breathing and CFD boundary settings.

AB - Highlights•Noninvasive schlieren technique was applied to characterize human exhalation.•New methods were proposed to predict exhaled velocity um and up, respectively.•Potential infection risk depended on breathing patterns and spatial distribution of exhaled air.•New data was added to airflow dynamics of human breathing and CFD boundary settings.

KW - Disease transmission

KW - Schlieren photography

KW - Exhaled airflow

KW - Propagation velocity

KW - Airflow interaction

U2 - 10.1016/j.buildenv.2016.11.032

DO - 10.1016/j.buildenv.2016.11.032

M3 - Journal article

VL - 112

SP - 190

EP - 199

JO - Building and Environment

JF - Building and Environment

SN - 0360-1323

ER -