Harish Chandra Arora – författare

Artificial Intelligence Applications for Sustainable Construction presents the latest developments in AI and ML technologies applied to real-world civil engineering concerns. With an increasing amount of attention on the environmental impact of every industry, more construction projects are going to require sustainable construction practices. This volume offers research evidence, simulation results, and case studies to support this change. Sustainable construction, in fact, not only uses renewable and recyclable materials when building new structures or repairing deteriorating ones, but also adopts all possible methods to reduce energy consumption and waste.The concisely written but comprehensive, practical knowledge put forward by this international group of highly specialized editors and contributors will prove to be beneficial to engineering students and professionals alike.

Advanced Technologies to Improve Indoor Air Quality focuses comprehensively on state-of-the-art smart systems (IoT, AI/ML, big data, quantum technology) and devices (sensors, drones, robots) that facilitate control, management, and enhancement of the quality of air inside buildings. The book also touches upon standards and policies from across the globe and includes an insightful discussion on pressing sustainability issues, such as energy efficiency and climate change adaptation, to create a framework without which the transformative potential of the described cutting-edge, technical instrumentation couldn’t be fully appreciated. Finally, current, real-life examples illustrate applicability, bridging the gap between research and practice.

Hoping to inspire further works and accomplishments in the field, this volume proves to be relevant for audiences from a variety of disciplines whose work or study interests revolve around environmentally friendly buildings and the wellbeing of their occupants.

· Provides an overview of the latest technological developments for indoor air quality monitoring, measurement, and management.

· Covers indoor air quality optimization strategies and mitigation and adaptation measures with an eye to other building performance requirements.

· Features case studies and applied examples for different building types and scales from around the world.

This book offers the use of artificial intelligence, image processing, model analysis, laser scanners, shearography, drones, contourlet, wavelet, signal processing techniques and other SHM techniques to detect the damages in the concrete as well as masonry structures. Corrosion is one major factor that causes reinforced concrete structures to deteriorate over time. However, the degrading process is not evenly distributed throughout the structure. The damage can be detected timely and the structure''s degradation model can be updated with the help of proper monitoring and inspection techniques. The damages in the masonry structures may happen due to moisture ingress, cracking, mortar failure, settlement and spalling, etc. Structure health monitoring (SHM) may assist in understanding the structures deterioration mechanisms and reducing the ongoing deterioration in a scientific manner. A complete detail of both the traditional and cutting-edge approaches used in the SHM process is described in this book. The latest non-destructive techniques and semi-destructive techniques shall also be discussed in this book. This book aids academics and industry professionals with recent developments in SHM techniques. Additionally, it encourages researchers in coming up with creation of newer applications in structural engineering.