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Experimental and Computational Inves...

McNeill, James Shiveley, Jr.

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Experimental and Computational Investigation of Surgical Environment Air Distribution.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Experimental and Computational Investigation of Surgical Environment Air Distribution./
Author:	McNeill, James Shiveley, Jr.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	323 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-12.
Contained By:	Dissertations Abstracts International81-12.
Subject:	Architectural engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27740166
ISBN:	9798645453039

Experimental and Computational Investigation of Surgical Environment Air Distribution.
McNeill, James Shiveley, Jr.

Experimental and Computational Investigation of Surgical Environment Air Distribution. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 323 p.

Source: Dissertations Abstracts International, Volume: 81-12.

Thesis (Ph.D.)--University of Colorado at Boulder, 2020.

This item must not be sold to any third party vendors.

Surgical environments require a high level of control to mitigate the possibility for sepsis of the patient during surgical procedures. ASHRAE and other professional organizations provide guidance and standards for the design of HVAC systems for hospital operating rooms. This work evaluates the air distribution of operating rooms used for Class C surgical procedures through several means. First, thermal and fluid boundary conditions were collected in field tests. Evaluation of the air distribution was conducted using flow visualization, particle image velocimetry and particle deposition experiments in a full-scale mockup of an operating room. A CFD model was developed to represent the air distribution and particle dispersion. The sensitivity and performance impact of system design parameters is conducted in a parametric analysis of the CFD models.This work provides a major contribution in the development of boundary conditions and CFD modeling techniques for air flow and particle transport in the surgical environment. It was determined that CFD models using RANS with RNG k-e turbulence models are effective at modeling the air distribution patterns. The surgical site temperature was found to be 25.6 +/- 2.1 C, which is well below the adjacent skin temperature. A buoyant plume from the surgical site was not observed in either physical experiments or computational models. This research provides several key findings in the performance of hospital operating room air systems. Data from both full-scale experiments and CFD models shows that the air distribution patterns are highly sensitive to the Archimedes number of the supply air jets. The results show that maintaining the Archimedes number close to 1 ensures the performance of the sterile field. Both the surgical table and back table are susceptible to particle deposition. Particle deposition is most likely from adjacent source releases, but particles may be transmitted from outside of the sterile field to the surgical table.

ISBN: 9798645453039Subjects--Topical Terms:

3174102
Architectural engineering.
Subjects--Index Terms:

Aerosol

Experimental and Computational Investigation of Surgical Environment Air Distribution.
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245 1 0 $a Experimental and Computational Investigation of Surgical Environment Air Distribution.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 323 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-12.
500 $a Advisor: Zhai, Zhiqiang (John).
502 $a Thesis (Ph.D.)--University of Colorado at Boulder, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Surgical environments require a high level of control to mitigate the possibility for sepsis of the patient during surgical procedures. ASHRAE and other professional organizations provide guidance and standards for the design of HVAC systems for hospital operating rooms. This work evaluates the air distribution of operating rooms used for Class C surgical procedures through several means. First, thermal and fluid boundary conditions were collected in field tests. Evaluation of the air distribution was conducted using flow visualization, particle image velocimetry and particle deposition experiments in a full-scale mockup of an operating room. A CFD model was developed to represent the air distribution and particle dispersion. The sensitivity and performance impact of system design parameters is conducted in a parametric analysis of the CFD models.This work provides a major contribution in the development of boundary conditions and CFD modeling techniques for air flow and particle transport in the surgical environment. It was determined that CFD models using RANS with RNG k-e turbulence models are effective at modeling the air distribution patterns. The surgical site temperature was found to be 25.6 +/- 2.1 C, which is well below the adjacent skin temperature. A buoyant plume from the surgical site was not observed in either physical experiments or computational models. This research provides several key findings in the performance of hospital operating room air systems. Data from both full-scale experiments and CFD models shows that the air distribution patterns are highly sensitive to the Archimedes number of the supply air jets. The results show that maintaining the Archimedes number close to 1 ensures the performance of the sterile field. Both the surgical table and back table are susceptible to particle deposition. Particle deposition is most likely from adjacent source releases, but particles may be transmitted from outside of the sterile field to the surgical table.
590 $a School code: 0051.
650 4 $a Architectural engineering. $3 3174102
653 $a Aerosol
653 $a Air distribution
653 $a CFD
653 $a Operating room
653 $a PIV
653 $a Surgical site infection
690 $a 0462
710 2 $a University of Colorado at Boulder. $b Civil, Environmental, and Architectural Engineering. $3 3350108
773 0 $t Dissertations Abstracts International $g 81-12.
790 $a 0051
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27740166