Activation Value Computation for Complex Radiation Geometries
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Solution Overview
Problem
Current methods for determining activation values in complex geometries are inaccurate and inefficient, leading to inadequate safety assessments and increased costs due to reliance on simplified models and neglect of critical variables.
Innovation Solution
A method involving splitting a digital volume into sub-volumes based on radiation source information, performing transport and activation computations to determine fluence and activation values, focusing on materials with the highest probability of activation, and optimizing the splitting process for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simplified models and assumptions are used for determining activation values, then the computational complexity is reduced, but the accuracy of activation determination deteriorates
Solution Approach 1:
The digital volume is divided into multiple sub-volumes based on radiation source information, allowing the complex activation determination problem to be broken down into smaller, more manageable segments that can be processed more accurately and efficiently
Solution Approach 2:
Different sub-volumes are processed with different levels of detail and computational effort based on their specific characteristics and radiation exposure, allowing for higher accuracy in critical regions while maintaining efficiency in less critical areas
2Measurement precision
If sophisticated simulation techniques with fine discretization are used, then the accuracy of activation determination is improved, but the computational resources required increase significantly
Solution Approach 1:
The volume is segmented into sub-volumes that can be processed with appropriate levels of computational detail, avoiding the need for uniformly fine discretization across the entire volume and thus reducing overall computational resource requirements
Solution Approach 2:
Computational effort is applied partially and selectively to only those sub-volumes that require high accuracy, rather than applying fine discretization uniformly throughout the entire volume, optimizing the balance between accuracy and computational cost
Data Source
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AI summary
The invention provides, amongst other aspects, a method of determining at least one activation value of at least one material from among a plurality of materials comprised in an object extending within a reference volume, wherein the material is capable of being activated by a radiation source present in the reference volume, wherein the object defines an object volume, wherein the method comprises: defining a digital volume based on the object volume; splitting a portion of the digital volume into first sub-volumes; determining at least one of the first sub-volumes based on predetermined first activation values and/or predetermined first fluence values; splitting the at least one of the first sub-volumes into second sub-volumes; performing transport computations to determine second fluence values in the second sub-volumes; and performing second activation computations to determine the at least one activation value of the at least one material in the second sub-volumes based on the determined second fluence values.