Aman Kumar – 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 Fiber-Reinforced Cementitious Matrices is an authoritative reference volume that offers an in-depth exploration of FRCM systems, bridging the gap between theory and practical application in the critical domain of structural strengthening and rehabilitation.The book covers the full spectrum of FRCM technology-from material characterization, manufacturing techniques, and mechanical properties to design guidelines and installation methodologies paired with quality control, inspection procedures, and testing protocols. It draws on the latest research to emphasize key innovation aspects, such as emerging material trends, sustainability-specific assessments, integration with advanced computational tools, and performance-related developments. The substantial potential and benefits of FRCM are highlighted through successful implementation examples, comparisons with conventional approaches, and lessons learnt from real-world field use, all of which underscore the systems’ versatility and efficiency.The comprehensive perspective put forward by this international group of highly specialized experts will prove invaluable to researchers, professionals, and advanced students seeking to deepen their understanding and actively contribute to advancing the state of the art in construction practices.

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.