Finite Element Model of a Deformable American Football Helmet Under Impact

Giudice, J. Sebastian; Caudillo, Adrian; Mukherjee, Sayak; Kong, Kevin; Park, Gwansik; Kent, Richard W.; Panzer, Matthew B.

doi:10.1007/s10439-020-02472-6

Cited by 18 publications

(11 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Both producers and NOC-SAE indicate that football helmets may not fully protect the player. Other research communities have made similar conclusions in the literature [58,[84][85][86][87][88][89][90][91][92].…”

Section: Discussionsupporting

confidence: 63%

Design and Virtual Testing of American Football Helmets–A Review

Dymek

Ptak

Fernandes

2021

Arch Computat Methods Eng

View full text Add to dashboard Cite

This paper aims to review the recent progress in the research carried out by scientists worldwide regarding American Footballers' head injuries and head protective equipment, focusing on the role of computation methods, mainly finite element method application to American Football helmet design and testing as well as head injury biomechanics. The helmet technology has been constantly improved, and it is driven by market competition, medical records, coaches and athletes' self-awareness. With finite element analysis and computational resources development, it is possible to develop more accurate brain models to recreate American Footballers' head impacts. This method seems to be an excellent simulation tool to verify the helmet's ability to absorb energy and enable the researchers to have an insight into head kinematics and tissue-level injuries. The work is focused on head injuries in American Football as the sport becomes more popular across the globe. Additionally, a reference to the development and newest technology is presented. The review's proposed approach gathers studies presented within the last decade regarding the coupling of finite element brain models with helmets in standardised or on-field conditions. The synthesis of the existing state of the art may enhance the researchers to continue investigating the athlete's trauma and improve the protective gear technology to minimise head injuries. The authors presented numerous studies regarding concussions and the newest findings from the last decade, including Finite Element Head models (FEHm) with American Football helmet simulations. All the studies were searched through Google Scholar, Scopus and ResearchGate databases.

show abstract

Section: Discussionsupporting

confidence: 63%

Design and Virtual Testing of American Football Helmets–A Review

Dymek

Ptak

Fernandes

2021

Arch Computat Methods Eng

View full text Add to dashboard Cite

show abstract

“…Studies on CM aimed to create new test protocols and metrics to screen the safety of equipment [ 92 , 93 , 97 , 102 ], develop and validate new tools and technologies [ 91 , 96 , 98 , 99 ], study the interaction between neck muscle activation and head impacts [ 95 , 100 ], and study the strain on the brain during practices and games [ 103 ] In Table 4 , data regarding studies related to CM are summarized.…”

Section: Resultsmentioning

confidence: 99%

“…Nevertheless, in recent years, finite element modeling research has expanded to equipment [ 98 , 99 ] and anthropomorphic devices [ 96 ], with good averages of similarities between the models, real-life helmets, and anthropomorphic devices. Additionally, computer modeling has been applied to models of neck muscle fibers and the skull during severe head impacts to understand the effect of muscle activation latency, muscle strength, and posture of the head-on injury metrics.…”

Section: Resultsmentioning

confidence: 99%

“…It was found that the most important branches of research on the studied topic were biomechanical studies regarding injuries encompassing concussions [ 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 , 100 , 101 , 102 , 103 ], footwear [ 105 ...…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review

Nocera

Sbrollini

Romagnoli

et al. 2023

Sensors

View full text Add to dashboard Cite

American football is the sport with the highest rates of concussion injuries. Biomedical engineering applications may support athletes in monitoring their injuries, evaluating the effectiveness of their equipment, and leading industrial research in this sport. This literature review aims to report on the applications of biomedical engineering research in American football, highlighting the main trends and gaps. The review followed the PRISMA guidelines and gathered a total of 1629 records from PubMed (n = 368), Web of Science (n = 665), and Scopus (n = 596). The records were analyzed, tabulated, and clustered in topics. In total, 112 studies were selected and divided by topic in the biomechanics of concussion (n = 55), biomechanics of footwear (n = 6), biomechanics of sport-related movements (n = 6), the aerodynamics of football and catch (n = 3), injury prediction (n = 8), heat monitoring of physiological parameters (n = 8), and monitoring of the training load (n = 25). The safety of players has fueled most of the research that has led to innovations in helmet and footwear design, as well as improvements in the understanding and prevention of injuries and heat monitoring. The other important motivator for research is the improvement of performance, which has led to the monitoring of training loads and catches, and studies on the aerodynamics of football. The main gaps found in the literature were regarding the monitoring of internal loads and the innovation of shoulder pads.

show abstract

“…Computational biomechanics is a key tool used by researchers to mitigate the consequences of TBI, and its role in developing protective headgear and passive safety equipment in motor vehicles is well-documented ( Fredriksson et al, 2011 ; Dymek et al, 2021 ). Finite element (FE) analysis is frequently leveraged ( Kleiven and von Holst, 2002 ; Mao et al, 2013 ; Gabler et al, 2016 ) to relate impact conditions to the movement and deformation of the brain within the skull, with recent models developed specifically for improving helmet design ( Kurt et al, 2017 ; Giudice et al, 2020b ). In recent years, there has been a growth in interdisciplinary models that integrate both the mechanics of brain movement and the corresponding changes to the brain’s axonal network structure ( Kraft et al, 2012 ; Sullivan et al, 2015 ; Giordano et al, 2017 ; Wu et al, 2019 ; Giudice et al, 2020a ; Hajiaghamemar et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Brain architecture-based vulnerability to traumatic injury

Rifkin

Rayfield

et al. 2022

Front. Bioeng. Biotechnol.

Self Cite

View full text Add to dashboard Cite

The white matter tracts forming the intricate wiring of the brain are subject-specific; this heterogeneity can complicate studies of brain function and disease. Here we collapse tractography data from the Human Connectome Project (HCP) into structural connectivity (SC) matrices and identify groups of similarly wired brains from both sexes. To characterize the significance of these architectural groupings, we examined how similarly wired brains led to distinct groupings of neural activity dynamics estimated with Kuramoto oscillator models (KMs). We then lesioned our networks to simulate traumatic brain injury (TBI) and finally we tested whether these distinct architecture groups’ dynamics exhibited differing responses to simulated TBI. At each of these levels we found that brain structure, simulated dynamics, and injury susceptibility were all related to brain grouping. We found four primary brain architecture groupings (two male and two female), with similar architectures appearing across both sexes. Among these groupings of brain structure, two architecture types were significantly more vulnerable than the remaining two architecture types to lesions. These groups suggest that mesoscale brain architecture types exist, and these architectural differences may contribute to differential risks to TBI and clinical outcomes across the population.

show abstract

Finite Element Model of a Deformable American Football Helmet Under Impact

Cited by 18 publications

References 12 publications

Design and Virtual Testing of American Football Helmets–A Review

Design and Virtual Testing of American Football Helmets–A Review

Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review

Brain architecture-based vulnerability to traumatic injury

Contact Info

Product

Resources

About