Accession Number:

AD1035602

Title:

Physiological Event Prediction in Evaluations of Underwater Breathing Apparatus

Descriptive Note:

Technical Report,01 Jan 2016,21 Oct 2016

Corporate Author:

Navy Experimental Diving Unit Panama City United States

Personal Author(s):

Report Date:

2016-10-25

Pagination or Media Count:

21.0

Abstract:

This report describes the use of Predict, in-house designed prediction software. NEDU performance goals for underwater breathing apparatus UBA based on ventilatory flow rate have served the Navy well for decades. Nevertheless, gas density is a major determinant of respiratory loading at depth, based on both experimental evidence and simple models of fluid mechanics. An understanding of the influence of flow rate and gas density are vital to understanding the performance characteristics of UBA, and the probable tolerance of a diver to those influences. Over a decade ago NEDU developed a constant respiratory impedance model for determining acceptable pressure drops across UBA, and created software to predict the tolerance of divers to UBA under varying dive conditions. The so-called maximum respiratory impedance model was calibrated on Navy manned dive results, and this paper describes the use of that model and the associated Predict software to predict diver tolerance based on unmanned data. It is arguably a more complete approach compared to methods already in Navy use, and is particularly useful in estimating the risk of diving UBA made inadequate by design or accident.

Subject Categories:

  • Life Support Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE