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Computer modeling of thoracic response to blast
J H Stuhmiller1, C J Chuong, Y Y Phillips
1Jaycor, San Diego, California.
The Journal of Trauma
|January 1, 1988
Summary
Developing a computer model to predict thoracic injury from blast exposure helps assess risks and understand lung damage mechanisms. This engineering approach aids in creating better protection strategies against blast injuries.
Area of Science:
- Biomechanics
- Computational modeling
- Injury research
Background:
- Primary blast injury primarily affects gas-containing organs, with lung damage causing significant morbidity and mortality.
- Alveolar-pulmonary venous fistulae can lead to arterial air embolization after blast exposure.
- A need exists for a generalized damage-risk criterion for thoracic injury from blast events.
Purpose of the Study:
- To develop a complex finite element model (FEM) of the thorax for assessing blast injury risk.
- To create a widely applicable damage-risk criterion for thoracic injury.
- To gain insight into blast injury pathophysiology and protection strategies.
Main Methods:
- An engineering approach was used, dividing the thorax into discrete finite elements.
- Physical properties (density, bulk modulus) were determined for each element.
- Computer simulations calculated physical events (displacement, stress, strain) under blast pressure loading.
- Model predictions were validated against trans-bronchial pressure measurements in blast-exposed animals.
Main Results:
- The finite element model (FEM) simulates pressure wave propagation in lung parenchyma.
- Computer predictions show good correlation with experimental measurements in animal models.
- The model provides a method for analyzing thoracic response to blast overpressure.
Conclusions:
- The developed finite element model (FEM) is a promising tool for assessing thoracic blast injury risk.
- The model aids in understanding the pathophysiologic mechanisms of blast-induced lung injury.
- This approach can inform the development of protective measures against blast exposure.