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Titlebook: Advances in Computational Mechanics and Applications; OES 2023 Dimitrios Pavlou,Hojjat Adeli,Yanyan Sha Conference proceedings 2024 The Edi

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发表于 2025-3-21 18:41:49 | 显示全部楼层 |阅读模式
期刊全称Advances in Computational Mechanics and Applications
期刊简称OES 2023
影响因子2023Dimitrios Pavlou,Hojjat Adeli,Yanyan Sha
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发行地址Reports on Computational Natural Sciences and Mathematical Physics.Contains chapters on advanced numerical simulation.Covers a vast variety of computational methods
学科分类Structural Integrity
图书封面Titlebook: Advances in Computational Mechanics and Applications; OES 2023 Dimitrios Pavlou,Hojjat Adeli,Yanyan Sha Conference proceedings 2024 The Edi
影响因子.This book publishes the work presented at the 1st Olympiad in Engineering Science (OES 2023), an international congress and contest aiming to disseminate and evaluate the recent advances in Engineering Science. The book covers diverse domains of engineering. From Machine Learning applications in Thrust Bearings‘ behavior to Optimization Techniques for space applications, each chapter presents innovative solutions to complex challenges. The Automatic Control section explores distributed intelligence in watercraft and supervisory control for manufacturing systems. In Data-Driven Engineering, simulations assess pedestrian comfort and model reconstruction. The Diagnostic-Prognostic Methods section delves into unbalance identification and steel truss bridge validation. Finally, Numerical and Analytical Methods in Engineering Mathematics cover everything from boundary integral methods to analytical solutions for fluid flows..
Pindex Conference proceedings 2024
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Coupling of Carbon and Silica in the Oceanssion power, feature extraction ability, and recognition accuracy by introducing the subnet inside a single neuron and self-attention module. Thirdly, a task-significance-aware meta-learning optimization algorithm was proposed to learn across various tasks and enhance the generalization ability for s
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Coupling of Carbon and Silica in the Oceansaddress issues of model stability, an efficient history-state ensemble (HSE) method that does not require additional training costs to generate multiple base models is introduced. Experimental validation is conducted on four simulated SENC tasks using benchmark data, and the results have shown the e
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https://doi.org/10.1007/978-3-031-63046-0ween water/binder ratio and GO dosage in cementitious composites. The study includes a series of experiments on mechanical performance of GO induced cementitious composites, an intensive data collection from previous studies, synthesis, and characterization of GO. Moreover, for the first time, this
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https://doi.org/10.1007/978-3-662-69028-4e Pareto front, all of which are superior to the data in the literature, demonstrating the effectiveness of the multi-objective optimization design framework. The research results are of great significance for the practical engineering application of the DCB.
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Biology, Biomimetics and Natural Designunaffected parts and the reduction of the 3D model size greatly minimize the printing time. Reducing excess information and connecting cylinders decreases print time significantly while still giving enough detail without losing fracture morphology. Other parameters including whether the use of print
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Biology, Biomimetics and Natural Design strength, the ANOVA results indicated that the platform temperature is the most significant parameter for compression strength for fabrication of the material followed by print speed, number of shells, infill density, extrusion temperature and layer thickness. It has been also observed that the mic
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