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.

Introduction 1. An introduction to functionally graded porous materials and composite structures Da Chen, Kang Gao, Jie Yang and Sritawat Kitipornchai

Structural Performance Evaluation 2. Free and forced vibrations of functionally graded porous straight and curved beams Qingshan Wang, Tao Liu and Rui Zhong 3. Free and forced vibrations of functionally graded porous quadrilateral plates with complex curved edges Tao Liu, Rui Zhong and Qingshan Wang 4. Free and forced vibrations of functionally graded porous circular cylindrical shells Yan Qing Wang, Mei Wen Teng and Qing Dong Chai 5. Free and forced vibrations of functionally graded porous shallow shells on elastic foundation Rui Zhong, Tao Liu and Qingshan Wang 6. Improving buckling and vibration response of porous beams using higher order distribution of porosity Mohammad Keleshteri and Jasmin Jelovica 7. Probabilistic stability analysis of functionally graded graphene reinforced porous beams Kang Gao, Da Chen, Jie Yang and Sritawat Kitipornchai 8. An improved approach for thick functionally graded beams under bending vibratory analysis David Bassir, Nadhir Lebaal, Youssef Boutahar, Mohammad Talha, Lhoucine Boutahar

Machine Learning Aided Analysis 9. Accelerated design and characterization of non-uniformed cellular architected materials with tunable mechanical properties Binglin Xie, Daobo Zhang, Peng Feng and Nan Hu 10. AI enhanced finite element multiscale modelling and structural uncertainty analysis of a functionally graded porous beam Da Chen, Nima Emami, Shahed Rezaei, Philipp Laurens Rosendahl, Bai-Xiang Xu, Jens Schneider, Kang Gao and Jie Yang 11. Machine learning aided stochastic static analysis of functionally graded porous plates Yuan Feng, Di Wu, Xiaojun Chen and Wei Gao 12. Machine learning aided stochastic free vibration analysis of functionally graded porous plates Yuan Feng, Di Wu, Xiaojun Chen and Wei Gao

Additive Manufacturing 13. Performance evaluations of functionally graded porous structures Vuong. Nguyen-Van, Chenxi Peng, Junli Liu, Phuong Tran and Hung Nguyen-Xuan 14. Design and fabrication of additively manufactured functionally graded porous structures Yu Duan, Xiaopeng Shi, Bing Du, Xianhang Zhao, Bing Hou and Yulong Li 15. Mechanical behaviour of additively manufactured functionally graded porous structures Yu Duan, Bing Du, Xianhang Zhao, Bing Hou and Yulong Li 16. Application of additively manufactured functionally graded porous structures Yu Duan, Xiaopeng Chen, Bing Hou and Yulong Li

Application 17. Applications of composite structures made of functionally graded porous materials: an overview Kang Gao, Da Chen, Jie Yang and Sritawat Kitipornchai