Scalable Algorithms for Contact Problems (eBook)

This book presents a comprehensive treatment of recently developed scalable algorithms for solving multibody contact problems of linear elasticity. The brand-new feature of these algorithms is their theoretically supported numerical scalability (i.e., asymptotically linear complexity) and parallel scalability demonstrated in solving problems discretized by billions of degrees of freedom. The theory covers solving multibody frictionless contact problems, contact problems with possibly orthotropic Tresca's friction, and transient contact problems. In addition, it also covers BEM discretization, treating jumping coefficients, floating bodies, mortar non-penetration conditions, etc. 

This second edition includes updated content, including a new chapter on hybrid domain decomposition methods for huge contact problems. Furthermore, new sections describe the latest algorithm improvements, e.g., the fast reconstruction of displacements, the adaptive reorthogonalization of dual constraints, and an updated chapter on parallel implementation. Several chapters are extended to give an independent exposition of classical bounds on the spectrum of mass and dual stiffness matrices, a benchmark for Coulomb orthotropic friction, details of discretization, etc. 

The exposition is divided into four parts, the first of which reviews auxiliary linear algebra, optimization, and analysis. The most important algorithms and optimality results are presented in the third chapter. The presentation includes continuous formulation, discretization, domain decomposition, optimality results, and numerical experiments. The final part contains extensions to contact shape optimization, plasticity, and HPC implementation. Graduate students and researchers in mechanical engineering, computational engineering, and applied mathematics will find this book of great value and interest.

Tomáš Kozubek is a professor of applied mathematics at IT4Innovations National Supercomputing Center, VŠB-Technical University of Ostrava, specialising in developing scalable algorithms for massively parallel solutions of engineering problems. He is a scientific director at IT4Innovations. He is also the author or coauthor of over 60 articles (concerning WoS) published in conference proceedings and journals. He is/was PI for the Czech Republic of the project FP7-ICT EXA2CT (Exascale Algorithms and Advanced Computational Techniques), H2020-MSCA-ITN EXPERTISE (models, Experiments and high PERformance computing for Turbine mechanical Integrity and Structural dynamics in Europe), H2020-JTI-EuroHPC Hercules (Hpc EuRopean ConsortiUm Leading Education activitieS), and ERASMUS+ SCTrain. He participates in activities of the H2020 Centre of Excellence in HPC project SPACE focused on computational astrophysics, and the European Digital Innovation Hub Ostrava focused on supporting industry and public organisations in HPC, artificial intelligence, and advanced data analysis. He is a guarantor of the doctoral study programme Computational Sciences at VSB-Technical University of Ostrava, a member of university scientific boards and programming committees of conferences, and a leading organiser of the HPCSE (HPC in Science and Engineering Conference). He is also the primary coordinator of the national Doctoral School for Education in Mathematical Methods and Tools in HPC.