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A Software Tool for Injury Analysis of Blast and Crash Data
Technical Paper
2019-01-1225
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In recent years the U.S. Army Tank-Automotive Research, Development, and Engineering Center (TARDEC) has been investigating the survivability and injury mechanisms of underbody blast and crash, and their effects on personnel, with the use of Anthropomorphic Test Devices (ATD), or crash test dummies. Injury Assessment Reference Values (IARV) for crash have been researched for decades, and the US Army Research Laboratory (ARL), some years ago, also developed IARVs for underbody blast for the Hybrid III 50th percentile ATD. More recently, TARDEC extended these IARVs for the 5th and 95th percentile. With the advent of TARDEC’s Occupant Protection Laboratory large amounts of data were accumulated, which brought an interest in automating the analysis, and so a software tool was developed. The interactive in-house written software, called ICalc, allows the user to open test data files acquired from blast testing, drop tower testing, and crash testing. Data can be automatically bias corrected (zeroed), filtered, and graphed with pertinent IARV functions automatically applied. Data from multiple sensor channels and multiple files may be graphed together for comparison and analysis. Besides being used interactively, the application can run “scripts” to graph a complete data test series automatically with the pertinent IARVs applied, along with calculated velocities and displacements for acceleration channels. A report document can be generated consisting of all accompanying graphs with an IARV summary table and bar chart showing percentage of injury for each data channel. The time to process the data and produce a report has been reduced from hours to minutes. The software is scheduled to be released under the open code software license agreement in early 2019.
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Citation
Bryk, D. and Foster, C., "A Software Tool for Injury Analysis of Blast and Crash Data," SAE Technical Paper 2019-01-1225, 2019, https://doi.org/10.4271/2019-01-1225.Also In
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