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.
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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.
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Taschenbuch. Zustand: Neu. Neuware - 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)OptimisationAI and machine learningThe future of engineering softwareAn extensive reference list supports the text. Artikel-Nr. 9781906335441
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