| JOURNAL OF BIOMECHANICS | 卷:72 |
| Similitude assessment method for comparing PMHS response data from impact loading across multiple test devices | |
| Article | |
| Dooley, Christopher J.1  Tenore, Francesco V.2  Gayzik, F. Scott3  Merkle, Andrew C.2  | |
| [1] USAF Sch Aerosp Med, 711th Human Performance Wing,2510 N 5th St, Fairborn, OH 45324 USA | |
| [2] Johns Hopkins Univ, Appl Phys Lab, 11100 Johns Hopkins Rd, Laurel, MD 20723 USA | |
| [3] Wake Forest Univ, Bowman Gray Sch Med, Winston Salem, NC USA | |
| 关键词: Corridor development; PMHS testing; Data analysis; Statistics; Correlation; Biomechanics; | |
| DOI : 10.1016/j.jbiomech.2018.03.010 | |
| 来源: Elsevier | |
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【 摘 要 】
Biological tissue testing is inherently susceptible to the wide range of variability specimen to specimen. A primary resource for encapsulating this range of variability is the biofidelity response corridor or BRC. In the field of injury biomechanics, BRCs are often used for development and validation of both physical, such as anthropomorphic test devices, and computational models. For the purpose of generating corridors, post-mortem human surrogates were tested across a range of loading conditions relevant to under-body blast events. To sufficiently cover the wide range of input conditions, a relatively small number of tests were performed across a large spread of conditions. The high volume of required testing called for leveraging the capabilities of multiple impact test facilities, all with slight variations in test devices. A method for assessing similitude of responses between test devices was created as a metric for inclusion of a response in the resulting BRC. The goal of this method was to supply a statistically sound, objective method to assess the similitude of an individual response against a set of responses to ensure that the BRC created from the set was affected primarily by biological variability, not anomalies or differences stemming from test devices. (C) 2018 Elsevier Ltd. All rights reserved.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_jbiomech_2018_03_010.pdf | 774KB |
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