“Computers will, usually, give you an answer - but it is for you to ensure that you asked the right question and received the right answer." We are on the verge of a new generation of technology and innovation. Finite Element Analysis is being linked parametrically with CAD; artificial intelligence and machine learning are being applied to everyday engineering tasks. What does today's graduate (and those with more experience too) need to know about these 'engineering assistants' in order to harness their full potential?
Peter Debney takes the reader on a practical, theoretical, and philosophical journey; balancing a complex subject with a fresh, engaging, and often humorous style. Forewords from Chris Wise, Tristram Carfrae, and Jon Leach precede chapters that discuss:
Design (including parametric design) Modelling (and its problems) Analysis (basics and methods/linear, nonlinear, and dynamic) Optimisation AI and machine learning The future of engineering software
An extensive reference list supports the text.
Author Peter Debney is a Chartered Structural Engineer with Arup, an application specialist at Oasys, a visiting professor at the University of Bradford, UK, and a Fellow of the IStructE. He has 30+ years of experience in structural engineering programs - using it to build and support tools that help engineers to analyse and design structures across the globe. Peter’s enthusiasm for the use of FEA and digital modelling has enabled him to tackle some of the most complex geometric and dynamic problems encountered at Arup.
One of the best books on structural engineering, not just computational engineering. Peter does a fantastic job of explaining practical insights that do not exist anywhere except in the minds of experienced professionals. This is a book I wish I had when I started engineering. It provides practical context and just the right amount of information to allow you understand the bigger picture. Highly recommend this book to all practicing engineers and students.
Good for beginners specially for people who is interested in computational engineering. But I didn't find any practical value, something that I can use right away from this book.