1st Edition

Enhancing Interoperability and Automation of Construction Waste Quantification Integration of Building Information Modelling and Semantic Web Technology

202 Pages 59 Color & 4 B/W Illustrations
by Routledge

202 Pages 59 Color & 4 B/W Illustrations
by Routledge

Enhancing Interoperability and Automation of Construction Waste Quantification outlines the construction waste quantification (CWQ) modelling that supports data-driven decision-making in the built environment. It presents how the functionalities of Building Information Modelling (BIM) and Semantic Web Technology are integrated to enhance the interoperability and automation of the CWQ process.... Read more

Chapter 1: Introduction

Chapter 2: Construction Waste - Definition, Classification, Sources Impacts, Management and Quantification

Chapter 3: Building Information Modelling, Semantic Web Technology, and Life Cycle Assessment 

Chapter 4: BIM-based Semantic Construction Waste Quantification Framework

Chapter 5 Product Circularity Ontology - Design, Development and Validation

Chapter 6 Building Waste Tool - Design, Development and Validation

Chapter 7: Potentialities of the Construction Waste Quantification Framework

Chapter 8 Conclusions and Future Directions

Biography

Subarna Sivashanmugam is Research Associate at the School of Computing, Engineering and Digital Technologies, Teesside University, UK.

Sergio Rodriguez-Trejo is Associate Professor of Research at the School of Computing, Engineering and Digital Technologies, Teesside University, UK.

Farzad Rahimian is Professor of Digital Engineering at the School of Computing, Engineering and Digital Technologies, Teesside University, UK