Explosion Consequence Modeling via Iterative Parameter Space Coverage
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Solution Overview
Problem
Existing modeling packages struggle to effectively estimate the consequences of explosive attacks and the impacts of mitigating strategies, as they require large datasets and lack coordination to achieve complex outcomes.
Innovation Solution
A method and system that estimate the consequences of an explosion by generating scenarios, modeling explosive devices, propagating hazards, and modeling injuries, using iterative subsets of parameter distributions to cover the entire parameter space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing modeling packages are used to estimate explosive attack consequences, then modeling can be performed, but enormous datasets are required and coordination between packages is lacking
Solution Approach 1:
The system segments the consequence estimation process into distinct modular components: hazard propagation modeling, injury modeling, and mitigation strategy evaluation. Each module processes specific aspects of the explosive event independently, allowing the system to avoid requiring enormous integrated datasets while maintaining comprehensive analysis capability.
Solution Approach 2:
The system creates a universal modeling framework that can handle multiple types of explosive events, mitigation strategies, and injury outcomes through a single coordinated platform. This multi-functional approach eliminates the need for separate specialized packages and their associated data requirements, providing comprehensive consequence estimation in one integrated system.
2Adaptability or versatility
If existing modeling packages are used to model complex explosive scenarios, then some outcomes can be achieved, but coordination between packages is lacking for comprehensive analysis
Solution Approach 1:
The system merges hazard propagation modeling, injury modeling, and mitigation evaluation into a single coordinated framework. This integration allows comprehensive analysis of complex explosive scenarios by combining multiple modeling capabilities that previously required separate packages, improving adaptability while managing system complexity through unified architecture.
Data Source
AI summary
A system to estimate consequences of an explosion includes a scenario generator to generate a scenario based on user input and scenario parameters; an explosive device model generator to generate an explosive device model based on the user input and explosive device parameters; a propagation of hazards modeler to model propagation of hazards into the scenario based on the user input and hazard parameters; an injury modeler to model injuries corresponding to modeling propagation of hazards into the scenario based on injury parameters; and an iteration and output generator to iterate by using additional iterative subsets of the parameters to generate the scenario, generate the explosive device model, model propagation of hazards, and model injuries, until parameter spaces of the parameters are covered. The iteration and output generator generates an injury record based injury outcomes from the modeling of injuries corresponding to the iterating.


