Heat Strain Decision Aid (HSDA): Review of Input Ranges, Default Values, and Example Inputs and Outputs For Verification of External Implementation
Abstract
This report provides a brief review of the Heat Strain Decision Aid (HSDA) and serves as a guide for users, programmers, and scientists intending to use it. The report also includes: 1) a brief summary of validation conditions and results for chemical protective clothing and combat clothing in both warm and hot/humid conditions, as well as cold weather clothing in cold conditions. 2) Example inputs and associated outputs for verification of correct implementation. 3) A table of the generally used equations for HSDA. 4) A table of clothing values for use in HSDA. HSDA consistently and acceptably predicts core body temperature (Tc) when individuals are wearing chemical protective clothing, combat uniforms, and cold weather clothing. The model has been shown to be acceptably accurate across a range metabolic demands (activity rates) and in a wide range of environmental conditions. The HSDA has been shown to be acceptable using a direct measurement criteria of a bias of 0.27C, and modeled errors (mean absolute and root mean square error (MAE, RMSE)) within observed SD criteria.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 16, 2021
- Accession Number
- AD1137670
Entities
People
- Adam W Potter
- David P. Looney
- Diana P. Sanford
- Jason W. Hancock
- Julio A. Gonzalez
- Laurie A. Blanchard
- Michael P. Castellani
- Sai V. Vangala
- Timothy P. Rioux
Organizations
- United States Army Research Institute of Environmental Medicine