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Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures
- 1st Edition - October 4, 2023
- Editors: Jie Yang, Da Chen, Kang Gao
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 5 4 2 5 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 5 4 2 6 - 3
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… Read more
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Request a sales quoteMachine 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.
- Provides a comprehensive picture of novel porous materials and advanced lightweight structural technologies that are applicable to a diverse range of industrial sectors
- Updated with the most recent advances in the field of porous structures
- Goes beyond traditional structural aspects and covers novel evaluation strategies, machine learning aided analysis, and additive manufacturing
- Covers weight management strategies for structural components to achieve multifunctional purposes
- Addresses key issues in the design of lightweight structures, offering significant environmental benefits
Researchers, engineers, designers, software developers, students, companies/institutions working in the areas where lightweight structures are of crucial importance and essentially adopted, such as Airbus, Boeing, and NASA
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Section I: Introduction
- 1. An introduction to functionally graded porous materials and composite structures
- Abstract
- 1.1 Porous materials
- 1.2 Functionally graded porous materials
- 1.3 Functionally graded porous composite structures
- 1.4 Chapters in this book
- 1.5 Conclusions
- Acknowledgments
- References
- Section II: Structural performance evaluation
- 2. Free and forced vibrations of functionally graded porous straight and curved beams
- Abstract
- Nomenclature
- 2.1 Introduction
- 2.2 Materials and methods
- 2.3 Result and discussion
- 2.4 Conclusion
- Acknowledgments
- References
- 3. Free and forced vibrations of functionally graded porous quadrilateral plates with complex curved edges
- Abstract
- Nomenclature
- 3.1 Introduction
- 3.2 Theory analysis
- 3.3 Results and discussion
- 3.4 Conclusion
- Acknowledgments
- References
- 4. Free and forced vibrations of functionally graded porous circular cylindrical shells
- Abstract
- 4.1 Introduction
- 4.2 Linear free vibration
- 4.3 Linear forced vibration
- 4.4 Nonlinear free vibration
- 4.5 Nonlinear forced vibration
- 4.6 Conclusion
- Acknowledgments
- References
- 5. Free and forced vibrations of functionally graded porous shallow shells on elastic foundation
- Abstract
- Nomenclature
- 5.1 Introduction
- 5.2 Theoretical formulations
- 5.3 Analysis and discussion
- 5.4 Conclusion
- Acknowledgments
- References
- 6. Improving buckling and vibration response of porous beams using higher order distribution of porosity
- Abstract
- 6.1 Introduction
- 6.2 Porous materials with graded porosities
- 6.3 Governing equations
- 6.4 Solution methodology
- 6.5 Numerical results and discussions
- 6.6 Conclusions
- Acknowledgments
- Appendix
- References
- 7. Probabilistic stability analysis of functionally graded graphene reinforced porous beams
- Abstract
- 7.1 Introduction
- 7.2 Material properties of functionally graded graphene reinforced porous beams
- 7.3 Theoretical formulations
- 7.4 Solution methodology and equations
- 7.5 Surrogate model-based stochastic framework
- 7.6 Results and discussion
- 7.7 Conclusion
- Acknowledgments
- References
- 8. An improved approach for thick functionally graded beams under bending vibratory analysis
- Abstract
- 8.1 Introduction
- 8.2 Theoretical formulation
- 8.3 Numerical results and discussion
- Conclusions
- Appendix A
- References
- Section III: Machine learning aided analysis
- 9. Accelerated design and characterization of nonuniformed cellular architected materials with tunable mechanical properties
- Abstract
- 9.1 Introduction
- 9.2 Materials and methods
- 9.3 Analysis and prediction results
- 9.4 Conclusion
- Acknowledgments
- References
- 10. Artificial intelligence (AI) enhanced finite element multiscale modeling and structural uncertainty analysis of a functionally graded porous beam
- Abstract
- 10.1 Introduction
- 10.2 AI-enhanced finite element multiscale modeling
- 10.3 Structural uncertainty analysis
- 10.4 Conclusions
- Acknowledgments
- References
- 11. Machine learning-aided stochastic static analysis of functionally graded porous plates
- Abstract
- 11.1 Introduction
- 11.2 Functionally graded porous plates
- 11.3 Theoretical formulation
- 11.4 Machine learning-aided stochastic static analysis
- 11.5 Investigation of results
- 11.6 Conclusion
- Acknowledgments
- References
- 12. Machine learning aided stochastic free vibration analysis of functionally graded porous plates
- Abstract
- 12.1 Introduction
- 12.2 Material models of the functionally graded porous plates
- 12.3 Stochastic free vibration analysis
- 12.4 Machine learning aided stochastic free vibration analysis
- 12.5 Investigation of results
- 12.6 Conclusion
- Acknowledgments
- References
- Section IV: Additive manufacturing
- 13. Performance evaluations of functionally graded porous structures
- Abstract
- 13.1 Introduction
- 13.2 Design of functionally graded porous structures
- 13.3 Manufacturing techniques
- 13.4 Results and discussion
- 13.5 Potential applications
- 13.6 Conclusions
- Acknowledgments
- References
- 14. Design and fabrication of additively manufactured functionally graded porous structures
- Abstract
- 14.1 Introduction
- 14.2 Additive manufacturing techniques
- 14.3 Additively manufactured cellular solids
- 14.4 Perspective and outlook
- 14.5 Conclusions
- Acknowledgments
- References
- 15. Mechanical behavior of additively manufactured functionally graded porous structures
- Abstract
- 15.1 Introduction
- 15.2 Materials and methods
- 15.3 Quasi-static results and discussion
- 15.4 Dynamic results and discussion
- 15.5 Predictive model
- 15.6 Conclusions
- Acknowledgments
- References
- 16. Application of additively manufactured functionally graded porous structures
- Abstract
- 16.1 Introduction
- 16.2 Materials and methods
- 16.3 Experimental results and discussion
- 16.4 Numerical results and discussion
- 16.5 A predictive model of graded foam-filled tubes
- 16.6 Conclusions
- Acknowledgments
- References
- Section V: Application
- 17. Applications of composite structures made of functionally graded porous materials: an overview
- Abstract
- 17.1 Introduction
- 17.2 Functionally graded porous material trending applications
- 17.3 Research gaps and future directions
- 17.4 Summary and concluding remarks
- Acknowledgments
- References
- Index
- No. of pages: 480
- Language: English
- Edition: 1
- Published: October 4, 2023
- Imprint: Woodhead Publishing
- Paperback ISBN: 9780443154256
- eBook ISBN: 9780443154263
JY
Jie Yang
Prof. Jie Yang is currently a full professor with the Mechanical and Automotive Engineering Discipline, School of Engineering, RMIT University, Australia. He was a Postdoctoral Research Fellow at Department of Civil Engineering, the University of Queensland from 2002-2004, a Lecturer at the Department of Building and Construction, City University of Hong Kong from 2004-2007 before joining RMIT in 2008 where he was promoted to Senior Lecturer in 2010, Associate Professor in 2014 and Professor in 2017. His main research interests include advanced composite structures, nanocomposites, structural stability and dynamics, smart structures and control, and nano/micro-mechanics. He is an author of over 400 papers including 285 journal papers which have so far attracted more than 20500 Google Scholar citations with a h-index of 79. He is the Highly Cited Researcher (Cross Field) in 2019, 2020, 2021 and 2022 by Clarivate Analytics and is named by Australian Research Magazine as Global Field Leader in Mechanical Engineering in 2020, Australia’s Research Field Leader in Mechanical Engineering in 2019, 2020, 2021, 2022 as well as in Structural Engineering in 2021. Prof. Yang is the Lead Editor-in-Chief of Engineering Structures (JCR Q1), Associate Editor of Mechanics Based Design of Structures and Machines (JCR Q1), and the editorial board member of Mechanics of Advanced Materials and Structures, Thin-Walled Structures, International Journal of Structural Stability and Dynamics, Scientific Reports, Materials, and Shock and Vibration, etc.
Affiliations and expertise
School of Engineering, RMIT University, AustraliaDC
Da Chen
Dr. Da Chen is currently an ARC (Australian Research Council) DECRA (Discovery Early Career Researcher Award) fellow at Department of Infrastructure Engineering, the University of Melbourne, Australia. He is also an Honorary Research Fellow at School of Civil Engineering, the University of Queensland, where he obtained his PhD degree in June 2018. He worked as a research fellow at MFM and ISMD, Technical University of Darmstadt, Germany. He will shortly join School of Civil and Environmental Engineering, UNSW (University of New South Wales) Sydney, as a lecturer. Dr. Chen has an interdisciplinary research background across structural, material, and mechanical engineering with a focus on the advanced composite structural forms for various end-user applications, such as novel lightweight non-uniform foam components, graphene reinforced nanocomposites, vibration absorbers, concrete columns, and offshore fish cages. His study promotes the development of functionally graded porous structures and has been widely acknowledged. His research achievements include 6 Highly Cited Papers (top performing 1%), 2330 Web of Science citations, and 7.72 for Field-Weighted Citation Impact (2017-2021, SciVal), as of January 2023.
Affiliations and expertise
Research Fellow, Technical University of Darmstadt, Germany; The University of Queensland, AustraliaKG
Kang Gao
A/Prof. Kang Gao is currently working as an Associate Professor in School of Civil Engineering, Southeast University, China. Before this, he got the Ph.D. degree in UNSW, Sydney and worked as a research associate in RMIT University and Cardiff University. He has developed an excellent emerging publication track record publishing over 30 papers in internationally leading journals, 5 patents and conference proceedings. A/Prof. Gao’s research expertise is focused on the static, dynamic characteristics of advanced materials (functionally graded, graphene platelets reinforced materials), the design, optimization, and application of advanced structures (porous, graded porous and lattice structures) in engineering practices. He received youth project from the Natural Science Foundation, Fundamental Research Funds for the Central Universities, Scientific Research Foundation for the Returned Overseas Chinese Scholars, and participated in 4 ARC Discovery projects and one ESPRC project. He is the assistant editor and early career board member of prestigious international journal “Engineering Structures”, the guest editor of Thin-walled Structures. He worked as the invited reviewers for many international journals.
Affiliations and expertise
Associate Professor, School of Civil Engineering, Southeast University, Nanjing, ChinaRead Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures on ScienceDirect