	US 12,213,739 B2
	Homeland explosive consequence and threat (HExCAT) modeling and medical mitigation tool
Rachel Gooding, Herndon, VA (US); Alexander Dolan, Frederick, MD (US); David Bradley, Bel Air, MD (US); Kevin Wegman, Columbus, OH (US); Patrick Wilson, Dublin, OH (US); Brian Hawkins, Broomfield, CO (US); Timothy Davis, Atlanta, GA (US); and Thomas Kirsch, Bethesda, MD (US)
Assigned to The Government of the United States of America, as represented by the Secretary of Homeland Security, Washington, DC (US)
Filed by The Government of the United States of America, as represented by the Secretary of Homeland Security, Washington, DC (US)
Filed on Aug. 14, 2023, as Appl. No. 18/233,738.
Application 18/233,738 is a division of application No. 17/576,471, filed on Jan. 14, 2022, granted, now 11,766,294.
Claims priority of provisional application 63/137,344, filed on Jan. 14, 2021.
Prior Publication US 2024/0216068 A1, Jul. 4, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G01N 33/48 (2006.01); A61B 34/10 (2016.01)

CPC A61B 34/10 (2016.02) [A61B 2034/105 (2016.02)]

21 Claims

1. A computerized method to model consequences of an explosion, comprising:

(a) receiving, by a computing system, user input including parameters for generating and modeling a scenario, explosion device model, and propagation of hazards and injuries;

(b) generating, by the computing system, the scenario based on the user input and an iterative subset of scenario parameters, the user input indicating an indoor explosion target or an outdoor explosion target, the generating the scenario further comprising communicating, by the computing system, with geospatial databases, retrieving geospatial data from the geospatial databases, and modeling the geospatial data based on a three-dimensional grid of cells, the computing system discretizing space representing the scenario into the three-dimensional grid of cells;

(c) generating, by the computing system, an explosive device model based on the user input and an iterative subset of explosive device parameters;

(d) modeling, by the computing system, propagation of hazards into the scenario based on the user input and an iterative subset of hazard parameters, the computing system applying the hazard parameters to the three-dimensional grid of cells, the hazards corresponding to detonation of the explosive device model;

(e) modeling, by the computing system, injuries corresponding to the modeling propagation of hazards into the scenario, based on an iterative subset of injury parameters, the modeling injuries comprising applying population density to the three-dimensional grid of cells;

(f) modeling, by the computing system, a medical mitigation response based on the injuries and an iterative subset of medical mitigation parameters;

the scenario parameters, the explosive device parameters, the hazard parameters, the injury parameters, and the medical mitigation parameters being distributions applied to Monte-Carlo probabilistic simulations to generate and model the scenario, the explosion device model, the propagation of hazards and injuries, and the medical mitigation response;

(g) iterating, by the computing system, based on the iterative subsets of scenario parameters, the explosive device parameters, the hazard parameters, the injury parameters, and the medical mitigation parameters until the discretized space representing the scenario is covered, thereby generating the scenario, generating the explosive device model, modeling propagation of hazards, modeling injuries, and modeling the medical mitigation response; and

(h) generating, by the computing system, a medical mitigation response record based on the modeling of a plurality of medical mitigation response outcomes corresponding to the iterating.