AL CERROLAZA MIGUEL ET (EN) — COMPUTATIONAL BIOENGINEERING

COMPUTATIONAL BIOENGINEERING краткое содержание

COMPUTATIONAL BIOENGINEERING - описание и краткое содержание, автор AL CERROLAZA MIGUEL ET (EN), читать бесплатно онлайн на сайте электронной библиотеки Lib-King.Ru.

This book is a significant contribution to the state of the art in the field of computational bioengineering — from the need for a living human database to meshless methods in biomechanics, from computational mechanobiology to the evaluation of stresses in hip prosthesis replacement, from lattice Boltzmann methods for analyzing blood flow to the analysis of fluid movement in long bones, among other interesting topics treated herein. Well-known international experts in bioengineering have contributed to the book, giving it a unique style and cutting-edge material for graduate students, academic researchers and design bioengineers, as well as those interested in getting a better understanding of such complex and fascinating human and living processes.Contents: The Living Human Project: The Grand Challenge of European Biomechanics? (M Viceconti et al.)Use of Explicit FE in the Pre-Clinical Testing of Total Knee Replacement (M Taylor et al.)The Plumbing in Long Bones (S C Cowin)An Analysis of the Performance of Meshless Methods in Biomechanics (M Doblaré et al.)Assessment of Plaque Stability Based on High-Resolution Magnetic Resonance Imaging of Human Atherosclerotic Lesions and Computational Mechanical Analysis (C A J Schulze-Bauer et al.)Computational Mechanobiology (P J Prendergast)Optimization Models in the Simulation of the Bone Adaptation Process (H Rodrigues & P R Fernandes)Analysis of Blood Flow in Arteries by Means of Hagen — Poiseuille's Model (J Wojnarowski)Thermomechanics of Bone-Implant Interfaces After Cemented Joint Arthroplasty: Theoretical Models and Computational Aspects (L R Rakotomanana & N A Ramaniraka)Analysis of Transient Blood Flow Passing Through Mechanical Heart Valves by Lattice Boltzmann Methods (O Pelliccioni et al.)Readership: Graduate students, academics, researchers and industrialists in biomedical engineering, mathematical modelling, and numerical and computational mechanics.