Computational design is necessary for advancing biomedical technologies, particularly complex systems with numerous complicated trade-offs. For instance, 3D printed tissue scaffolds constructed as lattices necessitate...
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ISBN:
(纸本)9780791887318
Computational design is necessary for advancing biomedical technologies, particularly complex systems with numerous complicated trade-offs. For instance, 3D printed tissue scaffolds constructed as lattices necessitate consideration of tissue and vasculature growth trade-offs in relation to complex geometries. In this paper, curvature- based tissue growth models and agent-based vascularization simulations are used to predict growth. NSGA-ii (non-dominated sorting genetic algorithm) is used for Pareto optimization of growth for heterogeneous unit cell scaffolds. Cube and BC-Cube (Body Centered-Cube) unit cells are considered with beam diameters from 64 to 313 mu m that are arranged in lattices with No Voids or Channel Voids configurations. The Channel Voids configuration has channels consisting of no unit cells that promote unobstructed vascularization. Seeding the algorithm with high-performing scaffolds with homogenous unit cells improved search efficiency and quality, since unit cells can be configured either for high tissue growth or high vasculature growth. The Pareto front of solutions demonstrates that scaffolds with large porous areas for the Channel Voids improve vasculature growth while lattices with no larger void areas result in higher tissue growth. Results demonstrate the advantages in using NSGA-ii for dual-objective search in complex biomedical systems, which provides a foundation for future multi- objective optimization for advanced tissue engineeringsystems.
Conducted research and analysis on existing foundation information systems, and analyzed the requirements and existing shortcomings of future information systems. A space-based intelligent information system based on ...
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In this paper, a sparse signal representation direct position determination algorithm (SSR-DPD) based on overcomplete dictionary matrix design is investigated. In spite of the fact that the existing SSR-DPD algorithm ...
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This research focuses on implementing machine learning in optimizing parameters and controlling power electronic systems and suggests a fusion optimization technique using neural network and genetic algorithm. Initial...
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Growing global concern about progressive collapse in building structures under abnormal loads has driven extensive research on enhancing resistance through advanced design and retrofit solutions. This paper introduces...
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Growing global concern about progressive collapse in building structures under abnormal loads has driven extensive research on enhancing resistance through advanced design and retrofit solutions. This paper introduces innovative retrofit strategies using steel bracing and rooftop outrigger-belt truss systems tailored for hospital buildings. These systems improve vertical stiffness and strength with minimal additional mass and sections, enabling rapid, low-impact, and reversible implementation while maintaining uninterrupted building operations during retrofitting. Nonlinear dynamic analyses of real hospital buildings highlight significant improvements in load redistribution and collapse resistance, offering an efficient and sustainable solution for critical infrastructures.
Due to the development of technology, the need for long-distance communication is increasing rapidly day by day. Communication across long distances by integrating wired and wireless communications is becoming widespr...
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In order to meet the requirements of efficient and reliable network communication in cooperative multi-agent systems, this paper discusses the multi-agent autonomous network topology control algorithm which can adapt ...
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ISBN:
(纸本)9798350374377
In order to meet the requirements of efficient and reliable network communication in cooperative multi-agent systems, this paper discusses the multi-agent autonomous network topology control algorithm which can adapt to the dynamic changing environment and task. It optimizes the system organizational structure by updating the cluster topology on demand to meet the task requirements. The research focuses on intelligent network topology control method based on power control, channel switching and routing optimization, so as to overcome the influence of complex environment interference, intragroup interference and adapt to changing tasks. The main theoretical achievements are: (1) Topology control algorithm based on power control;(2) Topology control algorithm based on channel switching;(3) Topology control algorithm based on routing optimization. The above research explores new methods and ideas for reliable networking of multi-agent systems, and support the diverse cooperative tasks of multi-agent systems.
Purpose - Intumescent coatings are nowadays a dominant passive system used to protect structural materials in case of fire. Due to their reactive swelling behaviour, intumescent coatings are particularly complex mater...
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Purpose - Intumescent coatings are nowadays a dominant passive system used to protect structural materials in case of fire. Due to their reactive swelling behaviour, intumescent coatings are particularly complex materials to be modelled and predicted, which can be extremely useful especially for performance-based fire safety designs. In addition, many parameters influence their performance, and this challenges the definition and quantification of their material properties. Several approaches and models of various complexities are proposed in the literature, and they are reviewed and analysed in a critical literature review. design/methodology/approach - Analytical, finite-difference and finite-element methods for modelling intumescent coatings are compared, followed by the definition and quantification of the main physical, thermal, and optical properties of intumescent coatings: swelled thickness, thermal conductivity and resistance, density, specific heat capacity, and emissivity/absorptivity. Findings - The study highlights the scarce consideration of key influencing factors on the material properties, and the tendency to simplify the problem into effective thermo-physical properties, such as effective thermal conductivity. As a conclusion, the literature review underlines the lack of homogenisation of modelling approaches and material properties, as well as the need for a universal modelling method that can generally simulate the performance of intumescent coatings, combine the large amount of published experimental data, and reliably produce fire-safe performance-based designs. Research limitations/implications - Due to their limited applicability, high complexity and little comparability, the presented literature review does not focus on analysing and comparing different multi-component models, constituted of many model-specific input parameters. On the contrary, the presented literature review compares various approaches, models and thermo-physical properties
Previously-developed lens design libraries lack collaboration tools - an important benefit of design libraries. A new design library, ***, emphases collaboration. This paper describes the new site and its role in coll...
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According to the requirements of a large field of view, miniaturization, and high resolution for space opticalsystems, this study presents the design of an off-axis three-mirror optical system based on aspheric surfa...
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