System and method for reconstruction of explosion blast and blast loading on humans using pressure sensor data
Inventors
Chen, Zhijian • Przekwas, Andrzej • Harrand, Vincent • Gupta, Raj K.
Assignees
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Publication Number
US-10983020-B2
Publication Date
2021-04-20
Expiration Date
2039-03-18
Abstract
A system for reconstruction of an explosion blast loading on a subject can include at least two pressure sensors and a computing system configured to: receive sensor data from the at least two pressure sensors, the sensor data being generated in response to an explosion blast wave; compute an explosion location and explosive charge mass of an explosive that caused the explosion blast wave based on the sensor data; and compute explosion blast loading on a subject from the explosion location and explosive charge mass. The pressure sensors can be configured as wearable pressure sensors or on equipment. The computing of the explosion location and explosive charge mass includes processing the sensor data through an inverse problem solver (IPS); and/or the computing of the explosion blast loading on the subject includes simulating the explosion blast wave with a forward problem solver (FPS).
Core Innovation
Improvised explosive devices (IEDs) pose significant threats to military personnel and civilian populations, causing substantial casualties worldwide. The problem addressed is the need for a system capable of identifying the location and explosive charge mass of such events to aid various stakeholders such as military preparedness, law enforcement investigations, protective gear design, and medical response.
The invention provides a system and method for reconstruction of an explosion blast loading on a subject using data from at least two pressure sensors. The system receives sensor data generated in response to an explosion blast wave, computes the explosion location and explosive charge mass by processing this sensor data through an inverse problem solver (IPS), and subsequently computes explosion blast loading on the subject by simulating the blast wave with a forward problem solver (FPS). The sensors may be wearable on humans or embedded in equipment, vehicles, or buildings, enabling detailed analysis and reconstruction of blast events and prediction of blast loading on various body parts or organs.
This approach allows for accurate reconstruction of an explosion event by integrating pressure sensor data, anthropometric data of subjects, and computational modeling to estimate blast loads that could inform injury diagnostics, protective measures, or forensic investigations. The method includes generating a topological layout of the blast scene, creating 3D anatomical models, and using optimization algorithms to refine estimations of explosion parameters and blast effects on humans.
Claims Coverage
The patent includes one independent system claim and one independent method claim, each describing key inventive features relating to reconstruction of explosion blast loading using pressure sensor data.
System with mobile wearable pressure sensors for blast reconstruction
A system comprising at least two mobile pressure sensors wearable by human subjects with sensor data received from at least two different subjects in different locations, enabling computation of explosion location and explosive charge mass, and calculating explosion blast loading on human subjects.
Computation of explosion parameters using inverse problem solver and blast loading with forward problem solver
The computing system processes sensor data through an inverse problem solver (IPS) to compute explosion location and charge mass, and simulates the explosion blast loading on subjects using a forward problem solver (FPS). The system performs parameter optimization in calculating explosion parameters.
Integration of anthropometric data and scene generation for detailed blast loading analysis
The system processes anthropometric data, determines arrangement and posture of subjects via a scene generator, computes blast loading on specific organs, compares with injury data, and determines presence of injury to organs or body parts.
Method for reconstruction using wearable pressure sensors and computational modeling
A method obtaining sensor data from at least two mobile wearable pressure sensors on different human subjects, computing explosion location and charge mass using IPS, and computing blast loading using FPS including injury prediction to specific organs, scene generation, quality analysis of sensor data, and parameter optimization.
The claims cover a system and method employing multiple wearable pressure sensors, computational inverse and forward problem solvers, anthropometric modeling, and optimization algorithms to reconstruct explosion parameters and blast loading on human subjects, supporting injury determination and detailed blast event analysis.
Stated Advantages
Provides rapid identification of explosion source location and charge mass to aid military, law enforcement, protective equipment design, and medical response.
Enables detailed modeling and prediction of blast wave effects on human anatomy, allowing injury diagnosis and treatment planning.
Improves accuracy of explosion reconstruction by using multiple spatially distributed pressure sensors and optimization algorithms.
Facilitates forensic analysis and emergency response through automated blast reconstruction and injury assessment.
Documented Applications
Forensic investigations to identify explosion location and charge mass.
Military preparedness by recording and analyzing blast exposure on personnel during training and actual events.
Medical emergency response and treatment planning based on predicted organ-specific blast injuries.
Design and improvement of protective equipment and protocols to mitigate blast injuries.
Assessment and monitoring of cumulative effects of repeated blast exposures on human subjects.
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