Book Chapters

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28507

Browse

Search Results

Now showing 1 - 5 of 5
  • Item
    Phase change materials in buildings: Fundamentals, applications, and future perspectives
    (IGI Global, 2024) Barbhuiya, S.; Das, B.B.; Adak, D.
    This chapter thoroughly explores Phase Change Materials (PCMs) and their applications in buildings. It begins by introducing the background, context, and objectives before delving into PCM fundamentals, covering types, phase change mechanisms, and key properties. Beyond theory, the chapter explores practical applications in thermal regulation, energy effciency, HVAC systems, thermal energy storage, passive building design, heat recovery, and PCM integration. Discussion includes various PCM types-organic, inorganic, eutectic mixtures, and bio-based-alongside selection criteria for building applications. Methods to enhance PCM performance, such as nano-enhancements, microencapsulation, and hybrid solutions, are explored. The chapter addresses integration and design considerations and concludes with insights into future directions, trends, and implications for sustainable building practices. © 2025, IGI Global. All rights reserved.
  • Item
    Artificial Intelligence in Damage Detection of Concrete Structures: Techniques, Integration and Future Directions
    (Springer Science and Business Media Deutschland GmbH, 2025) Barbhuiya, S.; Das, B.B.
    The chapter thoroughly explores the pivotal role played by Artificial Intelligence (AI) in the identification of damages in concrete structures. It delves into conventional methods, their limitations, and how AI can effectively complement these approaches. The basics of AI, encompassing machine learning and deep learning, are elucidated within the specific context of damage detection. Additionally, the chapter examines data acquisition and pre-processing techniques tailored for AI models. It sheds light on AI-driven damage detection methodologies, such as the utilization of convolutional neural networks for image analysis, vibration analysis, and AI-enhanced non-destructive testing methods, highlighting their precision in identifying structural issues. Moreover, the chapter investigates the integration of AI into structural health monitoring systems, providing in-depth discussions on data fusion and real-time monitoring. Emphasis is placed on the significance of performance assessment and model validation to ensure the reliability of AI algorithms. The chapter also addresses future trends, including the integration of AI with the Internet of Things (IoT), and delves into ethical considerations in the sphere of infrastructure development. In summary, the chapter underscores AI's transformative potential in revolutionizing damage detection and structural health assessment, contributing to the creation of more resilient and sustainable concrete structures. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
  • Item
    Effects of chemical admixtures on the properties of concrete
    (Elsevier, 2025) Barbhuiya, S.; Das, B.B.; Adak, D.
    This chapter thoroughly explores the effects of chemical admixtures on cement properties, ultimately enhancing concrete performance. It begins with a foundational overview of cement and its integral relationship with concrete, emphasizing the pivotal role of chemical admixtures. The chapter categorizes these additives based on function, unveiling their primary contributions to cement compositions. This framework sets the stage for a detailed examination of their influence on critical cement properties such as setting time, workability, strength development, durability, permeability, heat of hydration, and alkali-aggregate reactivity. The distinctive roles of specific admixtures like water reducers, retarders, accelerators, and more are elucidated in enhancing cement performance for diverse applications. Precision in admixture usage is underscored through emphasis on dosage optimization, compatibility testing, and rigorous quality control measures, ensuring effective integration and superior cement performance. To conclude, the chapter synthesizes essential insights, summarizing key discoveries, discussing implications, and suggesting valuable research directions. It offers a succinct yet comprehensive understanding of chemical admixtures in cement and their pivotal role in molding concrete attributes. © 2025 Elsevier Ltd. All rights reserved.
  • Item
    Processing techniques of recycled aggregates
    (Elsevier, 2025) Trivedi, S.S.; Das, B.B.; Barbhuiya, S.
    Three essential components of every modern-day growth are preservation of natural aggregate resources, green construction, and the safeguarding of the environment. One such endeavor is the incorporation of recycled aggregate (RA) in concrete. Because of the issues with its strength and durability, the use of RA is typically limited to inferior load constructions. With appropriate management and effective processing methods, the application can be expanded to high-strength concrete. In the present manuscript, the current C&D waste management practices adopted by various nations are highlighted alongside different in-action legislations are thoroughly reviewed for developing an understanding about the basic elements involved in the debris management. In addition, some of the latest and novel recycling approaches are investigated such as autogenous cleaning method, air and hydraulic jigging technologies, and advanced dry recovery system. To investigate the nature of RA processed from aforementioned technologies, the inherent properties of aggregates such as specific gravity, water absorption, density, and abrasion values alongside microstructure performance through scanning electron microscopy (SEM) are comprehensively reviewed and presented. Based on the extensive investigation, it is recognized that effective C&D waste management can be accomplished using certain techniques such as circular procurement and green construction. Furthermore, there is a requirement for specified processing methods that enhances the physio-chemical properties. Also, the surface morphology can be improved using combined crushing and ball milling approaches. Overall, it is recommended to implement vertical shaft crushing and ball milling for the development of fine RA whereas for the coarse RA fractions, multistage jaw crushing and advanced dry recovery (ADR) system are some of the finest processing approaches. © 2025 Elsevier Ltd. All rights reserved.
  • Item
    Key Variables Influencing the Performance of 3D Printed Concrete: A Comprehensive Analysis
    (Springer Science+Business Media, 2025) Barbhuiya, S.; Das, B.B.; Adak, D.
    This chapter examines key variables influencing 3D printed concrete performance, focusing on material, process, environmental, and geometric factors essential for achieving optimal strength and durability. It begins with an overview of 3D printed concrete, performance metrics, and the scope of the study. The chapter then delves into material composition, discussing how cement type, aggregate characteristics, additives, and water-cement ratios affect mix consistency, workability, and structural integrity. Process parameters, such as layer height, print speed, and extrusion rate, are analysed for their impact on layer adhesion and structural stability. Environmental factors—including temperature, humidity, and curing—are examined, highlighting their influence on setting time and strength. Geometric and structural considerations, like wall thickness and layer bonding, reveal the effects of design complexity on stability. The chapter concludes by synthesizing these findings, offering insights into optimizing 3D printed concrete performance through coordinated control of materials, process, and environmental conditions. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.