Machine learning aided analysis, design, and additive manufacturing of functionally graded porous composite structures /
Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures presents a state-of-the-art review of the latest advances and cutting-edge technologies in this important research field. Sections provide an introduction to functionally graded por...
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| Övriga upphovsmän: | , , |
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| Materialtyp: | Elektronisk E-bok |
| Språk: | engelska |
| Publicerad: |
Oxford :
Woodhead Publishing,
[2024]
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| Serie: | Woodhead Publishing series in composites science and engineering.
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| Ämnen: | |
| Länkar: | ScienceDirect |
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| 245 | 0 | 0 | |a Machine learning aided analysis, design, and additive manufacturing of functionally graded porous composite structures / |c edited by Jie Yang, Da Chen, Kang Gao. |
| 264 | 1 | |a Oxford : |b Woodhead Publishing, |c [2024] | |
| 264 | 4 | |c ©2024 | |
| 300 | |a 1 online resource (480 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Woodhead Publishing series in composites science and engineering | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures presents a state-of-the-art review of the latest advances and cutting-edge technologies in this important research field. Sections provide an introduction to functionally graded porous structures and detail the effects of graded porosities on bending, buckling, and vibration behaviors within the framework of Timoshenko beam theory and first-order shear deformable plate theory. Other sections cover the usage of machine learning techniques for smart structural analysis of porous components as an evolution from traditional engineering and methods and focus on additive manufacturing of structures with graded porosities for end-user applications. The book follows a clear path from design and analysis to fabrication and applications. Readers will find extensive knowledge and examples of functionally graded porous structures that are suitable for innovative research and market needs, with applications relevant to a diverse range of industrial fields, including mechanical, structural, aerospace, energy, and biomedical engineering. | ||
| 505 | 0 | |a Front Cover -- Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures -- Copyright Page -- Contents -- List of contributors -- I. Introduction -- 1 An introduction to functionally graded porous materials and composite structures -- 1.1 Porous materials -- 1.2 Functionally graded porous materials -- 1.2.1 Functionally graded porosity -- 1.2.2 Fabrication -- 1.3 Functionally graded porous composite structures -- 1.3.1 Structural forms -- 1.3.2 Mechanical analysis -- 1.4 Chapters in this book -- 1.5 Conclusions -- Acknowledgments -- References -- II. Structural performance evaluation -- 2 Free and forced vibrations of functionally graded porous straight and curved beams -- Nomenclature -- 2.1 Introduction -- 2.2 Materials and methods -- 2.2.1 Model description -- 2.2.2 Energy formulations of functionally graded porous curved beam -- 2.2.3 Model discretization and solution procedure -- 2.3 Result and discussion -- 2.3.1 Convergence study -- 2.3.2 Validation -- 2.3.3 Parameter studies -- 2.4 Conclusion -- Acknowledgments -- References -- 3 Free and forced vibrations of functionally graded porous quadrilateral plates with complex curved edges -- Nomenclature -- 3.1 Introduction -- 3.2 Theory analysis -- 3.2.1 Establishment of the model -- 3.2.2 Constitutive relation and energy equation -- 3.2.3 Spectral Chebyshev method -- 3.2.4 Solving procedure -- 3.3 Results and discussion -- 3.3.1 Free vibration of FGP plates -- 3.3.1.1 Convergence and verification -- 3.3.1.2 Parametric investigation -- 3.3.2 Transient response of FGP plates -- 3.3.2.1 Verification examples -- 3.3.2.2 Parametric investigation -- 3.3.3 Steady-state response of FGP plates -- 3.3.3.1 Verification examples -- 3.3.3.2 Parametric analysis for steady-state response -- 3.4 Conclusion -- Acknowledgments -- References. | |
| 505 | 8 | |a 4 Free and forced vibrations of functionally graded porous circular cylindrical shells -- 4.1 Introduction -- 4.2 Linear free vibration -- 4.2.1 Governing equations -- 4.2.2 Solution procedure -- 4.2.3 Results and discussion -- 4.3 Linear forced vibration -- 4.3.1 Governing equations -- 4.3.2 Solution procedure -- 4.3.3 Results and discussion -- 4.4 Nonlinear free vibration -- 4.4.1 Governing equations -- 4.4.2 Solution procedure -- 4.4.3 Results and discussion -- 4.5 Nonlinear forced vibration -- 4.5.1 Governing equations and solution -- 4.5.2 Results and discussion -- 4.6 Conclusion -- Acknowledgments -- References -- 5 Free and forced vibrations of functionally graded porous shallow shells on elastic foundation -- Nomenclature -- 5.1 Introduction -- 5.2 Theoretical formulations -- 5.2.1 Functionally graded porous material properties -- 5.2.2 Description of the shallow shells -- 5.2.3 Energy functional of the functionally graded porous shallow shells -- 5.2.4 Spectral Chebyshev method -- 5.2.5 Solving procedure -- 5.3 Analysis and discussion -- 5.3.1 Convergence studies -- 5.3.2 Validity of the present method -- 5.3.3 Free vibration analysis -- 5.3.4 Forced vibration analysis -- 5.3.4.1 Steady-state response -- 5.3.4.2 Transient-state response -- 5.4 Conclusion -- Acknowledgments -- References -- 6 Improving buckling and vibration response of porous beams using higher order distribution of porosity -- 6.1 Introduction -- 6.2 Porous materials with graded porosities -- 6.3 Governing equations -- 6.3.1 Displacement field -- 6.3.2 Strain-displacement relations -- 6.3.3 Constitutive equations -- 6.3.4 Hamilton principle -- 6.4 Solution methodology -- 6.4.1 Galerkin technique -- 6.4.2 Harmonic balance method -- 6.5 Numerical results and discussions -- 6.5.1 Comparative studies -- 6.5.2 Parametric studies -- 6.6 Conclusions -- Acknowledgments -- Appendix. | |
| 505 | 8 | |a 9.3.2 Response classification of representative 4<U+00D7>4 units -- 9.3.3 Machine learningmodel validation and response prediction -- 9.4 Conclusion -- Acknowledgments -- References -- 10 Artificial intelligence (AI) enhanced finite element multiscale modeling and structural uncertainty analysis of a functi... -- 10.1 Introduction -- 10.2 AI-enhanced finite element multiscale modeling -- 10.2.1 Representative volume elements for finite element homogenization -- 10.2.2 Database construction -- 10.2.3 Convolutional neural networks -- 10.2.4 Results from convolutional neural network -- 10.3 Structural uncertainty analysis -- 10.3.1 Material uncertainty -- 10.3.2 Bending analysis of FG porous beam -- 10.3.3 Validation and discussion on FG porous beam -- 10.4 Conclusions -- Acknowledgments -- References -- 11 Machine learning-aided stochastic static analysis of functionally graded porous plates -- 11.1 Introduction -- 11.2 Functionally graded porous plates -- 11.3 Theoretical formulation -- 11.3.1 First-order shear deformation theory of plate -- 11.4 Machine learning-aided stochastic static analysis -- 11.4.1 The Karhunen-Löve expansion -- 11.4.2 Machine learning-aided stochastic static analysis of functionally graded porous plate -- 11.4.3 Artificial neural networks -- 11.4.4 The extended support vector regression -- 11.5 Investigation of results -- 11.5.1 Convergence and validation -- 11.5.2 Functionally graded porous cylinder plate example -- 11.5.3 Functionally graded porous spanner plate example -- 11.6 Conclusion -- 11.6.1 Summary and conclusions -- Acknowledgments -- References -- 12 Machine learning aided stochastic free vibration analysis of functionally graded porous plates -- 12.1 Introduction -- 12.2 Material models of the functionally graded porous plates -- 12.3 Stochastic free vibration analysis. | |
| 505 | 8 | |a 12.3.1 Free vibration analysis of functionally graded porous plate -- 12.3.2 Stochastic free vibration analysis of functionally graded porous plate -- 12.4 Machine learning aided stochastic free vibration analysis -- 12.4.1 Preliminary -- 12.4.2 Gaussian process regression -- 12.4.3 The extended support vector regression -- 12.4.4 Optimizing hyperparameters -- 12.5 Investigation of results -- 12.5.1 Convergence and validation -- 12.5.2 Functionally graded porous plate example -- 12.5.3 Functionally graded porous drone base example -- 12.6 Conclusion -- Acknowledgments -- References -- IV. Additive manufacturing -- 13 Performance evaluations of functionally graded porous structures -- 13.1 Introduction -- 13.2 Design of functionally graded porous structures -- 13.2.1 Topology design of triply periodic minimal surface -- 13.2.2 From triply periodic minimal surface to lattice structures -- 13.2.3 Triply periodic minimal surface lattice with functionally graded relative density -- 13.3 Manufacturing techniques -- 13.3.1 3D printing of composite materials -- 13.3.2 Additive manufacturing of concrete -- 13.4 Results and discussion -- 13.4.1 Mechanical properties of triply periodic minimal surface composite-based structures -- 13.4.2 Mechanical performance of porous cement and concrete-based structures -- 13.5 Potential applications -- 13.6 Conclusions -- Acknowledgments -- References -- 14 Design and fabrication of additively manufactured functionally graded porous structures -- 14.1 Introduction -- 14.2 Additive manufacturing techniques -- 14.2.1 Powder bed fusion -- 14.2.2 Material extrusion -- 14.2.3 Vat photopolymerization -- 14.3 Additively manufactured cellular solids -- 14.3.1 Open-cell foams -- 14.3.2 Closed-cell foams -- 14.3.3 Honeycomb architectures -- 14.3.4 Lattice architectures -- 14.3.5 Graded cellular solids -- 14.4 Perspective and outlook. | |
| 650 | 0 | |a Composite materials |x Mechanical properties. | |
| 650 | 0 | |a Artificial intelligence |x Engineering applications. | |
| 650 | 0 | |a Machine learning |x Industrial applications. | |
| 650 | 0 | |a Additive manufacturing. | |
| 650 | 6 | |a Composites |0 (CaQQLa)201-0025721 |x Propriétés mécaniques. |0 (CaQQLa)201-0374312 | |
| 650 | 6 | |a Intelligence artificielle |x Applications en ingénierie. |0 (CaQQLa)000275458 | |
| 650 | 6 | |a Apprentissage automatique |0 (CaQQLa)201-0131435 |x Applications industrielles. |0 (CaQQLa)201-0374039 | |
| 650 | 6 | |a Fabrication additive. |0 (CaQQLa)000316409 | |
| 650 | 7 | |a Additive manufacturing. |2 fast |0 (OCoLC)fst02015088 | |
| 650 | 7 | |a Artificial intelligence |x Engineering applications. |2 fast |0 (OCoLC)fst01750450 | |
| 650 | 7 | |a Composite materials |x Mechanical properties. |2 fast |0 (OCoLC)fst00871717 | |
| 650 | 7 | |a Machine learning |x Industrial applications. |2 fast |0 (OCoLC)fst01004799 | |
| 700 | 1 | |a Yang, Jie, |e editor. | |
| 700 | 1 | |a Chen, Da, |e editor. | |
| 700 | 1 | |a Gao, Kang, |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Machine learning aided analysis, design, and additive manufacturing of functionally graded porous composite structures. |d Oxford : Woodhead Publishing, 2023 |z 9780443154256 |w (OCoLC)1400083917 |
| 830 | 0 | |a Woodhead Publishing series in composites science and engineering. | |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780443154256 |