Overview
- Explores the theories and methodologies on which elaboration and management of data for urban and building design are based
- Demonstrates the need to rethink current methods and tools by re-designing operations taking into consideration the effects of ICT on human activities
- Includes easy-to-understand practical examples that can be replicated by readers
Part of the book series: PoliTO Springer Series (PTSS)
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Table of contents (6 chapters)
Keywords
About this book
The book connects the ICT and the architectural worlds, analyzing modeling, materialization and data-driven visions for design issues at different scales. Furthermore, using sample modeling and materialization tools, it explores the links between performance-driven design approaches and the application of new digital technologies. Intended for architects and urbanists, it provides a theoretical framework to address the implications of the digital revolution in building design and operation. Furthermore, combining insights from IT and ICT with architectural and urban design know-how, it offers engineering professionals a technology-driven interpretation of the building design field.
Authors and Affiliations
Bibliographic Information
Book Title: Technological Paradigms and Digital Eras
Book Subtitle: Data-driven Visions for Building Design
Authors: Giacomo Chiesa
Series Title: PoliTO Springer Series
DOI: https://doi.org/10.1007/978-3-030-26199-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-26198-6Published: 05 August 2019
Softcover ISBN: 978-3-030-26201-3Published: 15 August 2020
eBook ISBN: 978-3-030-26199-3Published: 24 July 2019
Series ISSN: 2509-6796
Series E-ISSN: 2509-7024
Edition Number: 1
Number of Pages: XVII, 192
Number of Illustrations: 57 b/w illustrations, 31 illustrations in colour
Topics: Building Construction and Design, Computer-Aided Engineering (CAD, CAE) and Design, Sustainable Architecture/Green Buildings, Simulation and Modeling