Investigating the Impact of Blunt Force Trauma: A Probabilistic Study of Behind Armor Blunt Trauma Risk.
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| Title: | Investigating the Impact of Blunt Force Trauma: A Probabilistic Study of Behind Armor Blunt Trauma Risk. |
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| Authors: | Kote, Vivek Bhaskar1 (AUTHOR) vivek.kote@swri.org, Frazer, Lance L.1 (AUTHOR), Hostetler, Zachary S.2 (AUTHOR), Jones, Derek A.2 (AUTHOR), Davis, Matthew2 (AUTHOR), Op't Eynde, Joost3 (AUTHOR), Kait, Jason3 (AUTHOR), Pang, Derek3 (AUTHOR), Bass, Dale4 (AUTHOR), Koser, Jared5 (AUTHOR), Shah, Alok5 (AUTHOR), Yoganandan, Narayan5 (AUTHOR), Stemper, Brian5 (AUTHOR), Bentley, Timothy6 (AUTHOR), Nicolella, Daniel P.1 (AUTHOR) |
| Source: | Annals of Biomedical Engineering. Apr2026, Vol. 54 Issue 4, p1023-1037. 15p. |
| Subjects: | Blunt trauma, Body armor, Monte Carlo method, Injury risk factors, Tissue mechanics |
| Abstract: | Evaluating Behind Armor Blunt Trauma (BABT) is a critical step in preventing non-penetrating injuries in military personnel, which can result from the transfer of kinetic energy from projectiles impacting body armor. While the current NIJ Standard-0101.06 standard focuses on preventing excessive armor backface deformation, this standard does not account for the variability in impact location, thorax organ and tissue material properties, and injury thresholds in order to assess potential injury. To address this gap, Finite Element (FE) human body models (HBMs) have been employed to investigate variability in BABT impact conditions by recreating specific cases from survivor databases and generating injury risk curves. However, these deterministic analyses predominantly use models representing the 50th percentile male and do not investigate the uncertainty and variability inherent within the system, thus limiting the generalizability of investigating injury risk over a diverse military population. The DoD-funded I-PREDICT Future Naval Capability (FNC) introduces a probabilistic HBM, which considers uncertainty and variability in tissue material and failure properties, anthropometry, and external loading conditions. This study utilizes the I-PREDICT HBM for BABT simulations for three thoracic impact locations—liver, heart, and lower abdomen. A probabilistic analysis of tissue-level strains resulting from a BABT event is used to determine the probability of achieving a Military Combat Incapacitation Scale (MCIS) for organ-level injuries and the New Injury Severity Score (NISS) is employed for whole-body injury risk evaluations. Organ-level MCIS metrics show that impact at the heart can cause severe injuries to the heart and spleen, whereas impact to the liver can cause rib fractures and major lacerations in the liver. Impact at the lower abdomen can cause lacerations in the spleen. Simulation results indicate that, under current protection standards, the whole-body risk of injury varies between 6 and 98% based on impact location, with the impact at the heart being the most severe, followed by impact at the liver and the lower abdomen. These results suggest that the current body armor protection standards might result in severe injuries in specific locations, but no injuries in others. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 192618668 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Investigating the Impact of Blunt Force Trauma: A Probabilistic Study of Behind Armor Blunt Trauma Risk. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kote%2C+Vivek+Bhaskar%22">Kote, Vivek Bhaskar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> vivek.kote@swri.org</i><br /><searchLink fieldCode="AR" term="%22Frazer%2C+Lance+L%2E%22">Frazer, Lance L.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hostetler%2C+Zachary+S%2E%22">Hostetler, Zachary S.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jones%2C+Derek+A%2E%22">Jones, Derek A.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Davis%2C+Matthew%22">Davis, Matthew</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Op't+Eynde%2C+Joost%22">Op't Eynde, Joost</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kait%2C+Jason%22">Kait, Jason</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pang%2C+Derek%22">Pang, Derek</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bass%2C+Dale%22">Bass, Dale</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Koser%2C+Jared%22">Koser, Jared</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shah%2C+Alok%22">Shah, Alok</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yoganandan%2C+Narayan%22">Yoganandan, Narayan</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stemper%2C+Brian%22">Stemper, Brian</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bentley%2C+Timothy%22">Bentley, Timothy</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nicolella%2C+Daniel+P%2E%22">Nicolella, Daniel P.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Biomedical+Engineering%22">Annals of Biomedical Engineering</searchLink>. Apr2026, Vol. 54 Issue 4, p1023-1037. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Blunt+trauma%22">Blunt trauma</searchLink><br /><searchLink fieldCode="DE" term="%22Body+armor%22">Body armor</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Injury+risk+factors%22">Injury risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Tissue+mechanics%22">Tissue mechanics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Evaluating Behind Armor Blunt Trauma (BABT) is a critical step in preventing non-penetrating injuries in military personnel, which can result from the transfer of kinetic energy from projectiles impacting body armor. While the current NIJ Standard-0101.06 standard focuses on preventing excessive armor backface deformation, this standard does not account for the variability in impact location, thorax organ and tissue material properties, and injury thresholds in order to assess potential injury. To address this gap, Finite Element (FE) human body models (HBMs) have been employed to investigate variability in BABT impact conditions by recreating specific cases from survivor databases and generating injury risk curves. However, these deterministic analyses predominantly use models representing the 50th percentile male and do not investigate the uncertainty and variability inherent within the system, thus limiting the generalizability of investigating injury risk over a diverse military population. The DoD-funded I-PREDICT Future Naval Capability (FNC) introduces a probabilistic HBM, which considers uncertainty and variability in tissue material and failure properties, anthropometry, and external loading conditions. This study utilizes the I-PREDICT HBM for BABT simulations for three thoracic impact locations—liver, heart, and lower abdomen. A probabilistic analysis of tissue-level strains resulting from a BABT event is used to determine the probability of achieving a Military Combat Incapacitation Scale (MCIS) for organ-level injuries and the New Injury Severity Score (NISS) is employed for whole-body injury risk evaluations. Organ-level MCIS metrics show that impact at the heart can cause severe injuries to the heart and spleen, whereas impact to the liver can cause rib fractures and major lacerations in the liver. Impact at the lower abdomen can cause lacerations in the spleen. Simulation results indicate that, under current protection standards, the whole-body risk of injury varies between 6 and 98% based on impact location, with the impact at the heart being the most severe, followed by impact at the liver and the lower abdomen. These results suggest that the current body armor protection standards might result in severe injuries in specific locations, but no injuries in others. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10439-024-03564-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1023 Subjects: – SubjectFull: Blunt trauma Type: general – SubjectFull: Body armor Type: general – SubjectFull: Monte Carlo method Type: general – SubjectFull: Injury risk factors Type: general – SubjectFull: Tissue mechanics Type: general Titles: – TitleFull: Investigating the Impact of Blunt Force Trauma: A Probabilistic Study of Behind Armor Blunt Trauma Risk. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kote, Vivek Bhaskar – PersonEntity: Name: NameFull: Frazer, Lance L. – PersonEntity: Name: NameFull: Hostetler, Zachary S. – PersonEntity: Name: NameFull: Jones, Derek A. – PersonEntity: Name: NameFull: Davis, Matthew – PersonEntity: Name: NameFull: Op't Eynde, Joost – PersonEntity: Name: NameFull: Kait, Jason – PersonEntity: Name: NameFull: Pang, Derek – PersonEntity: Name: NameFull: Bass, Dale – PersonEntity: Name: NameFull: Koser, Jared – PersonEntity: Name: NameFull: Shah, Alok – PersonEntity: Name: NameFull: Yoganandan, Narayan – PersonEntity: Name: NameFull: Stemper, Brian – PersonEntity: Name: NameFull: Bentley, Timothy – PersonEntity: Name: NameFull: Nicolella, Daniel P. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00906964 Numbering: – Type: volume Value: 54 – Type: issue Value: 4 Titles: – TitleFull: Annals of Biomedical Engineering Type: main |
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