Data-driven BIM for Energy Efficient Building Design (PDF)
This book presents a research-led approach to identifying the massive opportunities that BIM and AI offer to sustainable design and strategies.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
This book presents a research-led approach to identifying the massive opportunities that BIM and AI offer to sustainable design and strategies.
Dr Saeed Banihashemi is Associate Professor and Postgraduate Program Director of Building and Construction Information Management in the School of Design and Built Environment, Faculty of Arts and Design, University of Canberra (UC), Australia.
Dr Hamed Golizadeh is Assistant Professor of Building and Construction Management at the University of Canberra, Australia.
Professor Farzad Pour Rahimian is Professor of Digital Engineering and Manufacturing at Teesside University, UK.
- Autoren: Saeed Banihashemi , Hamed Golizadeh , Farzad Pour Rahimian
- 2022, 1. Auflage, 186 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000801934
- ISBN-13: 9781000801934
- Erscheinungsdatum: 16.12.2022
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 13 MB
- Ohne Kopierschutz
- Vorlesefunktion
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Data-driven BIM for Energy Efficient Building Design".
Kommentar verfassen