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Titlebook: Computational and Experimental Simulations in Engineering; Proceedings of ICCES Shaofan Li Conference proceedings 2024 The Editor(s) (if ap

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书目名称Computational and Experimental Simulations in Engineering
副标题Proceedings of ICCES
编辑Shaofan Li
视频video
概述Presents the state of the art in computational and Experimental engineering.Features papers from the Int‘l Conference on Computational & Experimental Engineering and Sciences (ICCES 2023).Written by l
丛书名称Mechanisms and Machine Science
图书封面Titlebook: Computational and Experimental Simulations in Engineering; Proceedings of ICCES Shaofan Li Conference proceedings 2024 The Editor(s) (if ap
描述This book gathers the latest advances, innovations, and applications in the field of computational engineering, as presented by leading international researchers and engineers at the 29th International Conference on Computational & Experimental Engineering and Sciences (ICCES), held in Shenzhen, China on May 26-29, 2023. ICCES covers all aspects of applied sciences and engineering: theoretical, analytical, computational, and experimental studies and solutions of problems in the physical, chemical, biological, mechanical, electrical, and mathematical sciences. As such, the book discusses highly diverse topics, including composites; bioengineering & biomechanics; geotechnical engineering; offshore & arctic engineering; multi-scale & multi-physics fluid engineering; structural integrity & longevity; materials design & simulation; and computer modeling methods in engineering. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerousexciting ideas that will spur novel research directions and foster multidisciplinary collaborations..
出版日期Conference proceedings 2024
关键词ICCES; Computational Methods; Vibration Experimental; Computational Modeling; Mechanics of Materials; Mec
版次1
doihttps://doi.org/10.1007/978-3-031-42987-3
isbn_softcover978-3-031-42989-7
isbn_ebook978-3-031-42987-3Series ISSN 2211-0984 Series E-ISSN 2211-0992
issn_series 2211-0984
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Die Hirncapillaren und ihre Glia,to optimize the structural variables of the structure, a fast and accurate temperature field prediction method is urgently proposed This study establishes a deep learning model using MLPs and SRCNN modules to predict the 3D temperature field of the outer wall of a double-walled cooling structure (DW
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https://doi.org/10.1007/BFb0069620developed for shield tunnels to improve structural resilience. The connector does not require additional tightening, and the segment opening and dislocation are small. Taking a 650 mm thick segment as the prototype, this paper conducts the tensile and shearing tests of the plug-in fast connector, to
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https://doi.org/10.1007/BFb0066669y has been proven to be an efficient and accurate means for detailed deformation and crack information acquisition. But there is still a gap in determining the functional level of structures directly from the extracted information. In this study, six concrete beams with different reinforcements were
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Symposium on Ordinary Differential Equationse phase change materials (PCMs). The impregnation method was used to prepared PW/EP, PW/EP/EG1, PW/EP/EG3 and PW/EP/EG5. The enhancement effect of EG with different mass proportions on the heat storage/release performance of PW/EP, and the improvement effect of carbon nanotubes (CNTs) on the solar-t
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