Population-based metaheuristic optimization in neutron optics and shielding design

DiJulio, Douglas D.; Björgvinsdottir, H.; Zendler, C.; Bentley, Phillip M.

doi:10.1016/j.nima.2016.08.035

Cited by 14 publications

(6 citation statements)

References 16 publications

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“…By using equations (13a) to (13d) to calculate the required probabilities, Figs. 31 to 43 in the Appendix can be used to identify a shielding material which fulfills these demands. In the left plots, the albedo saturation level is seen, while in the right plots, the ratio between transmission and albedo at the albedo saturation thickness is shown.…”

Section: Methodsmentioning

confidence: 99%

“…To evaluate this, Figs. 31 to 43 in the Appendix can be consulted. In these figures, the albedo saturation thickness is shown as a function of energy.…”

Section: Methodsmentioning

confidence: 99%

“…The detector will be utilized in the CSPEC instrument at the upcoming ESS. To attenuate the significant neutron background generated from the source, a numerical approach to optimise the instrument shielding at higher energies has been applied for laminates shieldings, see for example [31]. As the neutron energy increases, however, the neutron mean free path in solid materials increases, from length scales of mm at thermal energies to tens to hundreds of cm [32] at higher energies, depending on the material density.…”

Section: Application Example: the Multi-grid Detector For The Cspec I...mentioning

confidence: 99%

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General considerations for effective thermal neutron shielding in detector applications

et al. 2022

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For thermal neutron detectors, effective shielding is a crucial aspect of signal-to-background optimization. This is especially important for cold to thermal neutrons, as the detectors are most sensitive in this energy range. In this work, a few common shielding materials, such as cadmium, B4C and epoxy-Gd2O3 mixtures, are analytically evaluated based on interaction cross sections extracted from Geant4. For these materials, the neutron absorption and scattering dependence on material thickness and incident neutron energy are examined. It is also considered how the absorption and scattering change with different material compositions, such as 10B-content in B4C, and component ratio in epoxy-Gd2O3 mixtures. In addition, a framework is introduced to quantify the effectiveness of the neutron shielding, comparing the relationship between absorption and scattering of different shielding materials. The aim is to provide a general tool kit, which can be used to quickly identify an appropriate shielding material, with the required thickness, to reach a desired thermal neutron shielding performance. Finally, as an example, the developed tool kit is applied to the specific shielding application for the Multi-Grid CSPEC detector, currently in development for the European Spallation Source.

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Section: Methodsmentioning

confidence: 99%

“…To evaluate this, Figs. 31 to 43 in the Appendix can be consulted. In these figures, the albedo saturation thickness is shown as a function of energy.…”

Section: Methodsmentioning

confidence: 99%

Section: Application Example: the Multi-grid Detector For The Cspec I...mentioning

confidence: 99%

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General considerations for effective thermal neutron shielding in detector applications

et al. 2022

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“…The generative design methodology should be combined with appropriate optimization strategies to assess the quality of the designed structure. When performing numerical simulations in generative design, the key lies in formulating the mathematical expressions of the problem, as shown in Equation (7).…”

Section: Generative Design Theorymentioning

confidence: 99%

“…In multi-objective optimization, experts have explored and studied numerous theories and design approaches for intelligent optimization algorithms to tackle this issue. Among them, the Genetic Algorithm [7], AOA Algorithm [8], PSO Algorithm [9], and SCA Algorithm [10] have been applied to the study of multi-objective optimization problems. The research findings indicate that genetic algorithms possess straightforward principles and exceptional global search capabilities, leading many scholars to employ this method in addressing multi-objective optimization problems.…”

Section: Introductionmentioning

confidence: 99%

Structural Optimization Design of Dual Robot Gripper Unloading Device Based on Intelligent Optimization Algorithms and Generative Design

Jia,

Sun,

Liu

et al. 2023

Sensors

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The main aim of this paper is to explore new approaches to structural design and to solve the problem of lightweight design of structures involving multivariable and multi-objectives. An integrated optimization design methodology is proposed by combining intelligent optimization algorithms with generative design. Firstly, the meta-model is established to explore the relationship between design variables, quality, strain energy, and inherent energy. Then, employing the Non-dominated Sorting Genetic Algorithm III (NSGA-III), the optimal frameworks of the structure are sought within the entire design space. Immediately following, a structure is rebuilt based on the principle of cooperative equilibrium. Furthermore, the rebuilt structure is integrated into a generative design, enabling automatic iteration by controlling the initial parameter set. The quality and rigidity of the structure under different reconstructions are evaluated, resulting in solution generation for structural optimization. Finally, the optimal structure obtained is validated. Research outcomes indicate that the quality of structures generated through the comprehensive optimization method is reduced by 27%, and the inherent energy increases by 0.95 times. Moreover, the overall structural deformation is less than 0.003 mm, with a maximum stress of 3.2 MPa—significantly lower than the yield strength and meeting industrial usage standards. A qualitative study and analysis of the experimental results substantiate the superiority of the proposed methodology for optimized structural design.

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Metal and alloy composites for neutron shielding

Akkurt

Zuhal

2020

Micro and Nanostructured Composite Materials for Neutron Shielding Applications

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Population-based metaheuristic optimization in neutron optics and shielding design

Cited by 14 publications

References 16 publications

General considerations for effective thermal neutron shielding in detector applications

General considerations for effective thermal neutron shielding in detector applications

Structural Optimization Design of Dual Robot Gripper Unloading Device Based on Intelligent Optimization Algorithms and Generative Design

Metal and alloy composites for neutron shielding

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