With AI Towards Sustainable Building Structures

1. Auflage 2026
ISBN: 978-1-032-82064-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 146 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 430 g

“With AI Towards Sustainable Building Structures” is an insightful exploration of how state of the art AI techniques can be integrated into the building industry to support a more sustainable future. The book avoids bold predictions and focuses on helping readers form their own judgments through clear explanations of AI fundamentals and an overview of industry workflows and environmental impacts. It also draws on personal experience and includes interviews with leading experts in AI and the building sector. The book therefore serves as a practical foundation for practitioners and companies implementing AI and for curious readers outside the building industry who want to understand how AI’s evolution can benefit society.

Zielgruppe

Academic

Autoren/Hrsg.

Apellániz, Diego

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Geisteswissenschaften Architektur Ökologische Aspekte in der Architektur
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Geisteswissenschaften Architektur Gebäudetypen
• Technische Wissenschaften Bauingenieurwesen Konstruktiver Ingenieurbau, Baustatik

Inhaltsverzeichnis

Preface. List of Abbreviations. AI and Building Industry Impacts in Perspective. Measuring the Sustainability of Building Structures. The Digital Transformation in Construction. Machine Learning and Big Data. Large Language Models. Multimodal Generative AI. AI Agents. Reinforcement Learning. Conclusions. References. Index.

Über Autor(innen)

Dr. Diego Apellániz is a structural engineer with more than ten years of professional experience and a solid foundation in programming and AI. His doctoral research explored how parametric design and machine learning can support early design decisions that lead to more sustainable buildings. He received the European 2024 EFCA Future Leader award, recognizing his leadership and his role as an AI enabler in the engineering sector.