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Full Description
This book presents selected proceedings from the International Conference on Artificial Intelligence for Resilient Infrastructure and Sustainable Building Materials (AIRISE 2025) and addresses the urgent need for resilient infrastructure. Current challenges such as resource scarcity and colossal carbon footprint demand innovative solutions in design and construction. Artificial Intelligence (AI) is a promising tool which can process large datasets, predict outcomes, and optimize solutions, enhancing infrastructure resilience. It aids in identification, predictive modelling, forecasting, and real-time monitoring, providing essential insights for damage detection, pattern recognition, and predictive maintenance. Developing sustainable construction materials in civil engineering is crucial to meet the demand for high-performance structures. Research in this area focuses on AI applications, such as artificial neural networks (ANNs) for concrete evaluation, deep learning models, and life cycle assessment (LCA) for a circular economy. AI-driven innovation in smart cities, metaheuristic techniques, and soft computing is increasingly essential for material testing, characterization, and waste utilization. Hence, this book volume explores the challenges of resilient infrastructure, examines AI's potential solutions, and explores real-world AI applications in design and construction.
Contents
BIM-based Safety Management: Enhancing Safety with Digital Technologies in Indian Construction Projects.- Utilization of Basic Oxygen Furnace Slag as Alternative Aggregate in Concrete for Sustainable Development.- Real-Time Scream Detection and Position Estimation for Worker Safety in Construction Sites.- Bearing capacity measurements with the TSD as a basis for the implementation of deep learning techniques for road maintenance.- Comparison of temperature dependent stiffness and fatigue behavior of differently prepared Reclaimed Asphalt Pavement-asphalt wearing-, binder- and base course mix.- Emerging Technologies and Smart Infrastructure: A Bibliometric Analysis of IoT, Blockchain, and Machine Learning in Urban Systems.- An insight into rock quarry waste management in Tamil Nadu, India.- Numerical analysis of flexural behavior in 3d-printed snap-fit interlocking concrete specimens incorporating frictional interactions.- Regression-based machine learning models for limestone calcined clay cement (LC3) concrete strength prediction.- Leveraging machine learning to maximize durability of high-performance concrete.- Hybrid empirical mode decomposition models for predicting strength of high-performance self-compacting concrete.- Performance Enhancement of Hybrid Fiber Reinforced Geopolymer Concrete.- Exploring the Potential of SWPCB Slag Powder as a Sustainable Alternative for Cement Binder Production.- Potential application of rubber fiber for development of self-compacting concrete.- Optimization of Cast Iron Slag, GGBS, and Cement in Ternary Blended Binders for Concrete Applications.- AI-Driven Techniques for Predicting Strength of Geopolymer Concrete with Fly Ash and GGBS.- Performance and Microstructure Studies on Self-Compacting Concrete Incorporating LC3 and OPC.- Strength and durability characteristics of concrete containing iron ore tailings as a partial replacement of fine aggregates.- AI-Driven Structural Assessment of Dam: A case for Koyna Dam.- Comparative studies on Micro Silica and Graphene Oxide based High-Strength Mortar for repair works.- Integrated Life Cycle Cost Analysis and Optimization of Residential Buildings Using BEopt.- Utilizing Eggshell Powder as a Sustainable Additive in Alkali Activated Concrete: Strength and Durability aspects.- Environmental life cycle evaluation of processed steel slag-based composite cement and conventional cement: A comparison.- 3D Concrete Printing and its Role in Modern Construction: Concept to Reality.- Innovative and Smart Concrete Structures: AI and Sensors Redefining Structural Health.
