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Comprehensive Review Of Structural Analysis Techniques For Gravity Dams Using STAAD.Pro Under Diverse Reservoir Conditions

Authors: Avdesh Kumar Ahirwar, Assistant Professor Murlidhar Chourasia, Rahul Kumar Satbhaiya

Abstract: Gravity dams, typically constructed using concrete or masonry, are massive hydraulic structures designed to resist external loads primarily through their own weight. These dams usually exhibit a triangular cross-sectional profile, with a wide base and a narrow crest, ensuring inherent stability against hydrostatic and seismic forces. Accurate analysis of such structures is essential for ensuring their safety and performance under varying reservoir conditions.This study presents a detailed evaluation of gravity dam behavior using STAAD.Pro, widely adopted structural analysis software. While traditionally employed for designing framed structures such as buildings, STAAD.Pro is also capable of modeling complex elements including plates, shells, and solid components. This flexibility makes it suitable for simulating gravity dams under different loading scenarios.In this analysis, the dam is modeled using solid elements to accurately represent its mass and geometry. The effects of hydrostatic pressure, uplift pressure, and other reservoir-induced forces are incorporated to simulate real-world conditions. By leveraging the computational capabilities of STAAD.Pro, stress distribution, deformation profiles, and stability parameters of the dam are systematically investigated. This approach eliminates the limitations of manual analysis, offering a time-efficient and precise method to assess dam safety under diverse operational conditions.

DOI: https://doi.org/10.5281/zenodo.16759714

 

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The Algorithmic Republic: The Social Impacts Of AI In Singapore

Authors: Lionel Seah

Abstract: Artificial Intelligence (AI) is the field of study and development of computer systems capable of performing tasks that would typically require human intelligence. These tasks include reasoning, problem-solving, learning, understanding natural language, and perceiving the environment. As defined by John McCarthy, one of the pioneers of AI, “Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs” (McCarthy, 2007). AI aims to replicate or simulate human cognitive functions in machines to enhance or automate decision-making, pattern recognition, and interactions. According to Stuart Russell and Peter Norvig, in their foundational textbook Artificial Intelligence: A Modern Approach, “AI is concerned with intelligent behaviour in artifacts” (Norvig, 2021). They categorise AI systems based on their capabilities to act and think rationally or humanly.

DOI: http://doi.org/10.5281/zenodo.16757750

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