2013
DOI: 10.1007/s12239-013-0043-x
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Assessment of a dummy model in crash simulations using rating methods

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Cited by 24 publications
(5 citation statements)
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“…The hip tolerance of the model was within the ranges reported in PMHS tests, but its values were higher than the test average forces. Though the higher tolerance of the model could be associated with the age of the subject modeled (younger than the PMHS tested), the model could be further calibrated in the future by changing the parameters of bone within the ranges reported in the literature using optimization and rating methods (Untaroiu et al 2009;Untaroiu, Shin, and Lu 2013). The shape of the injury surface corresponding to the hip under knee loading (Figure 14) suggests that a sitting posture with a larger hip joint extension angle would increase the hip injury tolerance during frontal impacts.…”
Section: Discussionmentioning
confidence: 99%
“…The hip tolerance of the model was within the ranges reported in PMHS tests, but its values were higher than the test average forces. Though the higher tolerance of the model could be associated with the age of the subject modeled (younger than the PMHS tested), the model could be further calibrated in the future by changing the parameters of bone within the ranges reported in the literature using optimization and rating methods (Untaroiu et al 2009;Untaroiu, Shin, and Lu 2013). The shape of the injury surface corresponding to the hip under knee loading (Figure 14) suggests that a sitting posture with a larger hip joint extension angle would increase the hip injury tolerance during frontal impacts.…”
Section: Discussionmentioning
confidence: 99%
“…To find the most appropriate improvements, a complex sensitivity analysis of the model is recommended to be performed to quantify the effects of various modeling parameters on the model performance. This future analysis could be coupled with a rating scheme [13] and may quantify the model validation and dictate the model regions which require further refinements. In addition, adding initial prestress in ligaments and muscle models to the current lower limb model would help to better approximate the response within the foot and ankle model prior to and during impact.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, the capability of the injury surface to predict an injury based on the injury parameters recorded during a simulation was evaluated. It is believed that the results of this study could be used to predict the ankle and subtalar injuries according to the experimental outputs recorded on anthropométrie test devices (ATD) during crash tests [13].…”
Section: Introductionmentioning
confidence: 99%
“…The validation of the material model for four types of EAFs was assessed using CORA (CORrelation and Analysis) plus v 4.0.5 software from PDB-Partnership for Dummy Technology and Biomechanics. This rating represents an objective method to evaluate the overall time-history curves between simulation and experiment [39][40][41], using the phase shift, size, and shape ratings [42][43][44]. Detailed introduction and instructions can be found through its official website.…”
Section: Data Analysis and Accident Reconstruction Casementioning
confidence: 99%