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Related Experiment Video

Updated: May 13, 2026

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

Published on: September 21, 2017

Simulation-based assessment for construction helmets.

James Long¹, James Yang, Zhipeng Lei

¹a Department of Mechanical Engineering , Texas Tech University , Lubbock , TX 79409 , USA.

Computer Methods in Biomechanics and Biomedical Engineering

|March 19, 2013

Summary

This summary is machine-generated.

This study uses advanced finite element models to assess head injury risk from construction helmets. The research provides a simulation-based method to determine injury thresholds for helmet wearers.

Keywords:

construction helmet experiment method head injury prediction impact simulation industrial helmet

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Area of Science:

Biomechanics
Occupational Safety
Engineering

Background:

Job safety and personal protective equipment (PPE) are crucial in all industries.
The head is highly vulnerable to impact injuries, necessitating industrial hard hats or helmets.
Limited research exists on head injury risks specifically when wearing industrial helmets, indicating a knowledge gap.

Purpose of the Study:

To develop a simulation-based method for determining head injury thresholds for construction helmet wearers.
To assess the risk of head injury for individuals using construction helmets or hard hats.
To enhance the understanding of construction helmet effectiveness in mitigating head injuries.

Main Methods:

Advanced finite element (FE) models were developed, comprising helmet and human head components.
The human head model included the brain, skull, and outer skin layers.
Injury assessment utilized the Head Injury Criterion (HIC) and Deck and Willinger's tolerance limits, with impact simulations performed using LS-DYNA.

Main Results:

The study presents a novel simulation-based approach to evaluate head injury risks associated with construction helmets.
Finite element models were successfully developed to simulate impact scenarios on helmets and human heads.
The research quantifies injury likelihood using established and proposed criteria, providing data on helmet effectiveness.

Conclusions:

A simulation-based method was established to assess construction helmet effectiveness in preventing head injuries.
The study highlights the need for further validation of tolerance limits in finite element models for head injury assessment.
This research contributes to a better understanding of head protection in industrial environments and informs safety standards.