Method to measure blast overpressure exposure on military personnel using orthogonal sensor orientations

Measuring and recording blast exposure to military personnel from shoulder-fired weaponry or improvised explosive devices to correlate health outcomes like mild traumatic brain injury has been a goal for many years. To ensure overpressure is recorded, sensor manufacturers either recommend multiple sensors on different parts of the body or have integrated multiple sensors into one unit. Despite this, knowing the sensor orientation in relation to the blast source is important to know if it's a head on, side on or oblique pressure recording. This research investigates whether pressures recorded at three independent orientations in the x, y and z planes can be combined to a representative pressure that is independent of orientation. Important metrics such as peak overpressure and impulse were used to provide a full picture of the exposure measurements. Using the root mean square (RMS) formula, the results from peak pressure and impulse were combined and analyzed as a single vector pressure. Results from the RMS calculations for peak pressure show a small range (70.67 kPa to 87.91 kPa). However, the impulse RMS calculations revealed a consistent value throughout the test series, holding steadily around 33.5 ± 1 kPa.ms. Further analysis revealed that by using the exposed surface are of a sensor face, the averaged pressure values could be linearized. Enabling the calculation of a steady RMS pressure value around 71.0 ± 2.5 kPa. Compared to prior range in RMS pressure values (70.67 kPa to 87.91 kPa) the resultant calculation vastly decreased the range of reported pressure values.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-06
DOI
https://doi.org/10.1038/s41598-025-22826-1
Primary Topic
Disaster Response and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Method to measure blast overpressure exposure on military personnel using orthogonal sensor orientations

Catherine E. Johnson, Nicholas W. Kuehl
Scientific Reports
Disaster Response and Management
article

Method to measure blast overpressure exposure on military personnel using orthogonal sensor orientations

Catherine E. Johnson, Nicholas W. Kuehl
article en

Abstract

Measuring and recording blast exposure to military personnel from shoulder-fired weaponry or improvised explosive devices to correlate health outcomes like mild traumatic brain injury has been a goal for many years. To ensure overpressure is recorded, sensor manufacturers either recommend multiple sensors on different parts of the body or have integrated multiple sensors into one unit. Despite this, knowing the sensor orientation in relation to the blast source is important to know if it's a head on, side on or oblique pressure recording. This research investigates whether pressures recorded at three independent orientations in the x, y and z planes can be combined to a representative pressure that is independent of orientation. Important metrics such as peak overpressure and impulse were used to provide a full picture of the exposure measurements. Using the root mean square (RMS) formula, the results from peak pressure and impulse were combined and analyzed as a single vector pressure. Results from the RMS calculations for peak pressure show a small range (70.67 kPa to 87.91 kPa). However, the impulse RMS calculations revealed a consistent value throughout the test series, holding steadily around 33.5 ± 1 kPa.ms. Further analysis revealed that by using the exposed surface are of a sensor face, the averaged pressure values could be linearized. Enabling the calculation of a steady RMS pressure value around 71.0 ± 2.5 kPa. Compared to prior range in RMS pressure values (70.67 kPa to 87.91 kPa) the resultant calculation vastly decreased the range of reported pressure values.

Scientific ReportsVol. 15(1)
Missouri University of Science and Technology (US)
Openalex Percentile: Top 50%
Disaster Response and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.