Rykaczewski Lab Project. Extreme heat is an invisible and deadly disaster with wide-ranging adverse effects on people’s health and well-being. It is increasing in frequency and severity, and its impacts are felt disproportionately by vulnerable populations. Yet, there is a minimal understanding of how body temperatures are elevated in extreme heat because prolonged human exposure to such conditions is dangerous. This this NSF sponsored Leading Engineering for America's Prosperity, Health, and Infrastructure (LEAP-HI) project, Profs. Rykaczewski, Vanos, and Middel are developing physical field methods (thermal manikin) with computational manikins to allow a realistic heat exposure assessment across diverse demographics and body shapes.
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Apr 19, 2024
Rykaczewski, Konrad; Joshi, Ankit, 2024, "Replication Data for: Characterization of human extreme heat exposure using an outdoor thermal manikin", https://doi.org/10.48349/ASU/VPDVDB, ASU Library Research Data Repository, V1, UNF:6:Mx2OLqCnt1YRYpF5nZkFEA== [fileUNF]
This dataset provides information for outdoor experiments from summer 2023 on convection and radiation measurements using ANDI, the thermal manikin. Heat transfer coefficients for all 35 manikin zones as well as grouped by anatomical zones (e.g., thigh) with relevant wind conditi...
Tabular Data - 116.3 KB - 45 Variables, 143 Observations - UNF:6:WskbePnOnC8zXwuRhWYfbw==
Data
Tabular Data - 39.0 KB - 15 Variables, 143 Observations - UNF:6:qZPwpt8XCu6ETZ0wRNR48A==
Data
MATLAB Source Code - 19.8 KB - MD5: c7dc39d78a88e424cefa90aaf998c9d6
Code
Tabular Data - 699.2 KB - 73 Variables, 1490 Observations - UNF:6:2Xt1T9+sIgTwOOrV7jkwTg==
Data
Plain Text - 11.6 KB - MD5: a978b6ba3275a1314bc7eb3983955df0
Documentation
MATLAB Source Code - 12.8 KB - MD5: 439180a494b521d0797cbf93a227ea0b
Code
Sep 2, 2022
Rykaczewski, Konrad; Bartels, Lyle; Martinez, Daniel M.; Viswanathan, Shri H., 2022, "Computational manikin for radiation simulation (male and female models covering 1-99% BMI and height diversity in US)", https://doi.org/10.48349/ASU/ZCLKT6, ASU Library Research Data Repository, V1
3D meshes of adults in the United States covering 1 to 99 percentile variation in body mass index and height. Based on manikins generated from The National Health and Nutrition Examination Survey (NHANES) using the Manikin Fetcher tool from Open Design Lab. All manikins have simp...
Plain Text - 3.1 KB - MD5: 7f11a0019b45ddd0f07c0d8b56ae43ee
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