Advances in predictive models and methodologies for numerically efficient linear and nonlinear analysis of composites (Q1738352)

These proceedings of the meeting held in Sestri Levante, Italy, on June 2018, provide insight into some of the latest developments in virtual modelling and numerically more accurate and efficient linear and nonlinear analysis of composite structural elements under coupled effects. The book starts with a few introductory comments on the meeting by O. Allix, E. Pineda and J. N. Reddy in the Foreword (pp. v--viii) and by M. Petrolo in the Preface (pp. ix, x). The book comprises three main parts with eleven chapters, and the first chapter by M. Petrolo (pp. 1--9) presents an overview of the main parts, namely, advanced structural models, damage and failure and virtual characterization and manufacturing effects, and important related works. The first part (Chapters 2--4) deals with accurate and computationally efficient one-dimensional (1D) and two-dimensional (2D) advanced models of structural elements for multiphysics and design. Chapter 2 by G. Li, E. Carrera, M. Cinefra, E. Zappino and E. Jansen (pp. 13--27) studies the shell FE models refined with variable kinematics for the analysis of multi-layered structures under multi-field effects. The four physical fields: mechanical, electric, thermal and hygroscopic, are considered in the linear elastic range. A~two-layered composite cylindrical panel under hygroscopic load and a two-layered cross-ply square laminated plate with bonded piezoelectric layers are investigated so as to demonstrate the hygro-mechanical and electro-mechanical simulations, respectively. Chapter 3 by G. De Pietro, G. Giunta, S. Belouettar and E. Carrera (pp. 29--45) develops a computationally efficient 1D hierarchical modeling based on the Carrera unified formulation (CUF) for the analysis of mechanically bistable beam-like structures. A~geometrical Green-Lagrange-type nonlinearity is considered and the asymptotic numerical method (ANM) is used for computation. Numerical results are given for an accurate prediction of the force-displacement curves, snap-through load, stable geometries and stress field evolution in bistability analysis. Chapter 4 by Y. Hui, G. Giunta, S. Belouettar, H. Hu and E. Carrera (pp. 47--63) deals with a novel multi-scale nonlinear analysis of beam structures using the CUF in the framework of the FE method. A~2D beam structure is investigated at both macroscopic and microscopic scales. The nonlinear problems are solved by the ANM, and numerical results are given and validated through some comparisons. The second part (Chapters 5--8) is devoted to the development of modelling tools for damage and failure analysis of composites, and a closing chapter is on structural health monitoring. Chapter 5 by I. Kaleel, M. Petrolo, E. Carrera and A. M. Waas (pp. 67--81) discusses the effectiveness of higher-order 1D models based on CUF for physically nonlinear problems. The physical nonlinearities include the von Mises plasticity and cohesive interface modelling for delamination of composites. Numerical applications are given to indicate the accuracy and computational efficiency of higher order models. Chapter 6 by M. Akterskaia, E. Jansen, S. R. Hallet, P. M. Weaver and R. Rolfes (pp. 83--102) presents the post-buckling progressive failure analysis of stiffened composite panels under compression. A~novel two-way global-local coupling method is used for intralaminar failure and debonding. The method is used for the case of a one-stringer panel under compression where skin-stringer debonding occurs. Chapter 7 by P. Del Sorbo, J. Girardot, F. Dau and I. Iordanoff (pp. 103--124) is concerned with a mesoscale model of a single dry yarn under high-velocity transverse impact load as an homogeneous hyperelastic body. The model is theoretically explained and validated by the benchmark test of a yarn, and the adopted failure criteria are given. The results are compared to those on microscopic and linear elastic mesoscopic models. Chapter 8 by A. G. de Miguel, A. Pagani and E. Carrera (pp. 125--140) deals with multi-layered structural models for the analysis of guided ultrasonic waves in composites with applications to structural health monitoring. Two types of plate kinematics, namely, ``equivalent single layer'' and ``layer wise'', are used for wave propagation in multi-layered elements. Numerical examples of laminated plates are given, using the higher-order polynomials as the shape functions of the finite element method which indicate the advantages of each kinematic. Part III (Chapters 9--11) considers virtual characterization, manufacturing effects and uncertainty quantification of materials. Chapter 9 by S. van den Broek, S. Minera, E. Jansen, A. Pirrera, P. M. Weaver and R. Rolfes (pp. 143--158) introduces a technique to improve the static structural performance of panels with spatially varying material properties using correlation. The technique requires the input of accurate statistical and correlation properties of materials, and the material imperfections are treated using random fields. To illustrate the technique, the linear buckling analysis of an isotropic thin walled panel is studied and the buckling load is increased by using a redistributed Young's modulus. Chapter 10 by L. Cappelli, M. Montemurro, F. Dau and L. Guillaumat (pp. 159--177) deals with a multi-scale identification of anisotropic material properties of a composite plate. A~general identification technique is introduced, and a single non-destructive harmonic test is performed at the macroscopic scale of specimen. Numerical results are given, starting from the macroscopic scale to the mesoscopic one and then to the macroscopic scale, and the effectiveness of the technique is illustrated through a meaningful numerical benchmark. Chapter 11 by G. Balokas, B. Kriegesmann, S. Czichon, A. Böttcher and R. Rolfes (pp. 179--193) is addressed to an uncertainty quantification framework for triaxially braided composites simulation, and considers the stochastic stiffness prediction by use of a numerical multi-scale analysis. The effects of various aleatory uncertainties are considered, and the efficiency is satisfied by use of a metamodeling technique. Techniques such as neural networks, polynomial chaos expansion and Kriging modelling are described, applied and compared to overcome the computational burden. In conclusion, the proceedings in a self-sufficient readable style develop the lower-order mathematical models, which are in need of future considerations (i.e., the nature of effects, the estimation of errors and the internal consistency), and are used for numerically efficient linear and nonlinear analysis of composite structures under the coupled effects. Some comprehensive, insightful and motivating examples are given in the analysis of current design, manufacturing and health monitoring of composites. The book is very interesting, well documented, and will be useful to all interested specialists, and it will certainly stimulate graduate students and researchers to further research in composites.