| Description |
1 online resource (xvii, 1467 pages) : illustrations (chiefly color) |
| Series |
Mechanisms and machine science, 2211-0992 ; volume 145 |
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Mechanisms and machine science ; v. 145 ;. 2211-0992
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| Contents |
Intro -- Preface -- Contents -- 1 A Peridynamic Micro-Scale Model for Predicting Mechanical Properties of Graphene -- 1.1 Introduction -- 1.2 Interaction -- 1.3 PeriDynamics -- 1.4 Unit Cell -- 1.5 Results and Discussion -- 1.6 Conclusion -- References -- 2 Three-Dimensional Temperature Field Prediction in Double-Wall Cooling Structure Using Deep Learning Method -- 2.1 Introduction -- 2.2 Methodology -- 2.2.1 Numerical Simulation for DWCS Unit -- 2.2.2 Dataset Building -- 2.2.3 Deep Learning Algorithm -- 2.3 Experiment and Results -- 2.3.1 Model Evaluation -- 2.4 Conclusion -- References |
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3 A Neural Network-Based Method for Solving the Mass Flow Related Forward and Inverse Problems of Laminate Cooling Structures -- 3.1 Introduction -- 3.2 Dataset Preparation -- 3.2.1 Geometries, and Computational Setups -- 3.2.2 Flow Data for Training -- 3.3 Methodology -- 3.3.1 Network Architecture for Solving Forward Problems -- 3.3.2 Network Architecture for Solving Inverse Problems -- 3.4 Results and Discussion -- 3.4.1 Forward Problem -- 3.4.2 Inverse Problem -- 3.5 Conclusion -- References |
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4 Experimental Research of Ultra High Performance Concrete in Supersized Rectangle Pipe Jacking Project -- 4.1 Introduction -- 4.2 Background -- 4.2.1 Project Review -- 4.2.2 Design of an Assembled Tube -- 4.2.3 Connection Method -- 4.3 Mechanical Performance -- 4.3.1 Test Scheme -- 4.3.2 Results -- 4.4 Waterproofing Performance -- 4.4.1 Laboratory Test -- 4.4.2 Prototype Test -- 4.4.3 Improved Waterproofing Design -- 4.5 Conclusion -- References -- 5 Mechanical Performance and Experimental Research on Plug-in Fast Connector of Shield Tunnel -- 5.1 Introduction -- 5.2 Background |
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5.2.1 Project Overview -- 5.2.2 Plug-in Fast Connector -- 5.3 Tensile Test Scheme -- 5.3.1 Specimen Design -- 5.3.2 Apparatus -- 5.3.3 Monitoring Scheme -- 5.4 Shearing-Test Scheme -- 5.4.1 Introduction of Scheme -- 5.4.2 Specimen Design -- 5.4.3 Apparatus and Loading Scheme -- 5.5 Results -- 5.5.1 Tensile Test -- 5.5.2 Shearing Test -- 5.6 Conclusion -- References -- 6 The Advancement of Knowledge Graphs in Cybersecurity: A Comprehensive Overview -- 6.1 Introduction -- 6.2 Background Knowledge -- 6.2.1 Knowledge Graph -- 6.2.2 Cybersecurity Knowledge Graph |
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6.3 Cybersecurity Knowledge Graph Dataset -- 6.3.1 Generalized Dataset of Cybersecurity Knowledge Graph -- 6.3.2 Cybersecurity Knowledge Graph Professional Type Dataset -- 6.4 Cybersecurity Knowledge Graph Construction Techniques -- 6.4.1 Technical Architecture of CyberSecurity Knowledge Graph -- 6.4.2 Network Security Domain Ontology Modeling -- 6.4.3 Knowledge Extraction for CyberSecurity Knowledge Graph -- 6.4.4 CyberSecurity Knowledge Graph Reasoning -- 6.5 Application Scenarios of Network Security Knowledge Graph -- 6.5.1 CyberSecurity Knowledge Graph Defense Class Application Scenarios |
| Summary |
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 numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed December 7, 2023) |
| Subject |
Engineering mathematics -- Congresses
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Engineering -- Data processing -- Congresses
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Engineering -- Simulation methods -- Congresses
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Engineering -- Data processing.
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Engineering mathematics.
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Engineering -- Simulation methods.
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| Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings.
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Li, Shaofan, editor.
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| ISBN |
9783031429873 |
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3031429877 |
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