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Full Description
This book presents RAISE-2024 proceedings which cover all the recent advances happening in Structural Engineering towards the sustainable development and technology among different research areas of Civil Engineering. The main objective of this book is to disseminate the recent developments in Structural Engineering and related interdisciplinary research areas. This book will cover three main themes including, bridge engineering, tall concrete structures and interdisciplinary research areas, emphasizing their significant applications in sustainable Environment, seismic and disaster mitigation and long durable concrete structures.
Contents
Machine Learning-Based Prediction of Compressive Strength in Additive Manufacturing of Concrete Technology.- Comparison of different machine learning algorithms for response of structure equipped with shape memory alloy Damper.- Design Optimization of Indian Code-compliant RC Frames.- Performance of Concrete Gravity Dam under various load combination as specified by IS 6512:2019.- Implications of Bridge Design Provisions for Infrastructure Development: A Comparative Review for Codal Provisions in India, USA, and France.- Analytical Study of Effects of Seismic and Wind Forces on Brick Masonry Chimneys.- A Finite Element Analysis of Steel Beam Column Joint with Replaceable Fuse under Pseudo-Static Load.- Effect of concrete slab gradation on the shear Carrying Capacity of the Triangular and Circular Ribbed Headed Stud Shear Connector: FEM Simulation Approach.- Dynamic Response of RC Wall Panel with Curvature under Blast Loading.- Evaluating Advance Construction Practices through Efficiency and Sustainability in Structural Systems: A Review.- Comparative study for cracking and temperature gradient effects in steel-concrete composite girders.- Effect of Infill Walls in RC Buildings with Transfer Structures under Earthquake Effects.- Study of Soil-Structure Interaction Effect for Different Types of Soil on a Flat Slab with Drop Panels Using ANSYS Software and Winkler's Model.