| 期刊全稱 | Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analy | | 影響因子2023 | Marco Petrolo | | 視頻video | http://file.papertrans.cn/150/149442/149442.mp4 | | 發(fā)行地址 | Shares cutting-edge ideas on composite structures.Draws together the work of aerospace, mechanical and material engineers.Includes detailed theoretical descriptions and abundant numerical examples | | 學(xué)科分類 | PoliTO Springer Series | | 圖書封面 |  | | 影響因子 | .This book gathers contributions addressing issues related to the analysis of composite structures, whose most relevant common thread is augmented numerical efficiency, which is more accurate for given computational costs than existing methods and methodologies. It first presents structural theories to deal with the anisotropy of composites and to embed multifield and nonlinear effects to extend design capabilities and provide methods of augmenting the fidelity of structural theories and lowering computational costs, including the finite element method. The second part of the book focuses on damage analysis; the multiscale and multicomponent nature of composites leads to extremely complex failure mechanisms, and predictive tools require physics-based models to reduce the need for fitting and tuning based on costly and lengthy experiments, and to lower computational costs; furthermore the correct monitoring of in-service damage is decisive in the context of damage tolerance. The thirdpart then presents recent advances in embedding characterization and manufacturing effects in virtual testing. The book summarizes the outcomes of the FULLCOMP (FULLy integrated analysis, design, manufa | | Pindex | Book 2019 |
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