{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T16:33:10Z","timestamp":1785688390890,"version":"3.56.0"},"reference-count":40,"publisher":"SAE International","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Stapp Car Crash Journal."],"abstract":"<jats:p>&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Thorax injury remains a primary contributor to mortality in car crash scenarios.                    Although human body models can be used to investigate thorax response to impact,                    isolated rib models have not been able to predict age- and sex-specific                    force-displacement response and fracture location simultaneously, which is a                    critical step towards developing human thorax models able to accurately predict                    injury response. Recent advancements in constitutive models and quantification                    of age- and sex-specific material properties, cross-sectional area, and cortical                    bone thickness distribution offer opportunities to improve rib computational                    models. In the present study, improved cortical and trabecular bone constitutive                    models populated with age-specific material properties, age- and sex-specific                    population data on rib cross-sectional area, and cortical bone thickness                    distribution were implemented into an isolated 6\n&lt;sup&gt;th&lt;\/sup&gt;\n rib from a                    contemporary human body model. The enhanced rib model was simulated in                    anterior-posterior loading for comparison to experimental age- and sex-specific                    (twenty-three mid-size males, age range of 22- to 57-yearold) population                    force-displacement response and fracture location. The improved constitutive                    models, populated with age-specific material properties, proved critical to                    predict the rib failure force and displacement, while the improved cortical bone                    thickness distribution and cross-sectional area improved the fracture location                    prediction. The enhanced young mid-size male 6\n&lt;sup&gt;th&lt;\/sup&gt;\n rib model was able                    to predict young mid-size male 6\n&lt;sup&gt;th&lt;\/sup&gt;\n rib experimental                    force-displacement response and fracture location (overpredicted the                    displacement at failure by 35% and underpredicted the force at failure by 8% but                    within \u00b11 SD). The results of the present study can be integrated into full body                    models to potentially improve thorax injury prediction capabilities.&lt;\/div&gt;&lt;\/div&gt;<\/jats:p>","DOI":"10.4271\/2024-22-0005","type":"journal-article","created":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T22:15:32Z","timestamp":1730326532000},"page":"89-103","source":"Crossref","is-referenced-by-count":2,"title":["Isolated Rib Response and Fracture Prediction for Young Mid-Size\n                    Male, Enabled by Population Specific Material Models and Rib Cross-Sectional\n                    Geometry"],"prefix":"10.4271","volume":"68","author":[{"given":"Miguel A.","family":"Corrales","sequence":"first","affiliation":[{"name":"University of Waterloo, Department of Mechanical and Mechatr"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sven","family":"Holcombe","sequence":"additional","affiliation":[{"name":"University of Michigan, International Center for Automotive"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amanda M.","family":"Agnew","sequence":"additional","affiliation":[{"name":"Ohio State University, Injury Biomechanics Research Center"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun-Seok","family":"Kang","sequence":"additional","affiliation":[{"name":"Ohio State University, Injury Biomechanics Research Center"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Duane S.","family":"Cronin","sequence":"additional","affiliation":[{"name":"University of Waterloo, Department of Mechanical and Mechatr"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2796","published-online":{"date-parts":[[2024,10,30]]},"reference":[{"key":"ref0","doi-asserted-by":"crossref","unstructured":"Agnew ,  A.M. ,  \n                         \n                             Murach ,  M.M. ,  \n                         \n                             Dominguez ,  V.M. ,  \n                       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Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/saemobilus.sae.org\/downloads\/articles\/2024-22-0005\/Full%20Text%20PDF","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T21:11:06Z","timestamp":1758661866000},"score":1,"resource":{"primary":{"URL":"https:\/\/saemobilus.sae.org\/articles\/isolated-rib-response-fracture-prediction-young-mid-size-male-enabled-population-specific-material-models-rib-cross-sectional-geometry-2024-22-0005"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,30]]},"references-count":40,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.4271\/2024-22-0005","relation":{},"ISSN":["1532-8546","2993-1940"],"issn-type":[{"value":"1532-8546","type":"print"},{"value":"2993-1940","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,30]]},"article-number":"2024-22-0005"}}