Head Impact Simulation
Head Impact Simulation - Related Videos
07:30
A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact
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Cited by 8 •
2017
Using an anthropometric head and neck, optical fiber-based fit force transducers, an array of head acceleration and neck force/moment transducers, and a dual high speed camera system, we present a test bed to study helmet retention and effects on biomechanical measures of head and neck injury secondary to head impact.
06:27
Simulating Impacts of Ice Storms on Forest Ecosystems
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Cited by 6 •
2020
Ice storms are important weather events that are challenging to study because of difficulties in predicting their occurrence. Here, we describe a novel method for simulating ice storms that involves spraying water over a forest canopy during sub-freezing conditions.
07:02
An Investigation of the Effects of Sports-related Concussion in Youth Using Functional Magnetic Resonance Imaging and the Head Impact Telemetry System
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Cited by 5 •
2011
This article provides an overview of a multi-modal approach to mild traumatic brain injury diagnosis and recovery in youth. This approach combines neuropsychological testing with functional magnetic resonance imaging and the Head Impact Telemetry System to monitor the relationship between head impacts and brain activity during cognitive testing.
06:14
In Vivo Protocol of Controlled Subconcussive Head Impacts for the Validation of Field Study Data
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Cited by 24 •
2019
The subconcussive soccer heading model is a safe and concise methodological approach to isolate and measure the effects of subconcussive head impacts.
05:42
A Repetitive Concussive Head Injury Model in Mice
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Cited by 5 •
2016
Concussion presents the most common type of traumatic brain injury. Therefore, a repetitive concussive animal model, which replicates the important features of an injury in patients, may provide a means to study concussion in a rigorous, controlled, and efficient manner.
FAQs
Anatomical models determine how applied forces are represented across the head and brain. In a finite element analysis, the model is paired with tissue properties so the computation can estimate mechanical changes within the represented structures. This matters because the simulated response depends not only on the external event, but also on how anatomy and tissue behavior are encoded.
Head motion, stress, strain, and pressure provide complementary views of the simulated response. Motion describes changes in the head's movement, while stress and strain characterize mechanical loading and deformation within represented tissues. Pressure adds another measure of the internal response. Together, these outputs help bioengineers relate impact mechanics to possible concussion and traumatic brain injury patterns.
Loading conditions determine the forces or motions supplied to the computational model. Researchers may apply conditions measured from an event or estimate them when direct measurements are unavailable. Because the model calculates its response from those inputs, the choice and quality of the loading conditions influence the resulting motion, stress, strain, and pressure values used for interpretation.
A typical setup begins by selecting or constructing an anatomical model of the head and brain. Bioengineers then assign tissue properties and apply loading conditions representing a collision, fall, or sports impact. Finite element analysis calculates the resulting mechanical response, after which outputs such as motion, stress, strain, and pressure can be examined for biomechanical interpretation.
The method allows engineers to examine how modeled impact conditions affect head and brain responses without relying exclusively on physical testing. Results can inform helmet evaluation and vehicle safety design by showing calculated changes in motion, stress, strain, and pressure. This provides a computational basis for comparing safety approaches and studying how design choices relate to potential injury patterns.
Head impact simulation connects impact mechanics with brain biomechanics, giving bioengineers a way to investigate potential injury-related responses computationally. It can reduce reliance on physical testing while supporting injury-prevention research and the development of experimental protocols. Simulated results also help researchers plan which loading conditions and mechanical outcomes should be examined in subsequent studies.