Raju R. Kulkarni
Deshvena Y.N.
- Assistant Professor Civil Engineering Department, Shri Shivji Institute of Engineering & Management Studies, Maharashtra, India
- Assistant Professor ivil Engineering Department, Shri Shivji Institute of Engineering & Management Studies, Maharashtra, India
Abstract
A comprehensive exploration of the intersection of civil engineering and artificial intelligence (AI) technology, highlighting the transformative impact of AI on infrastructure development, management, and sustainability. The journal encompasses a wide array of research articles, case studies, and reviews that demonstrate the integration of AI into various facets of civil engineering, including but not limited to smart infrastructure, predictive maintenance, structural analysis, and urban planning. By showcasing cutting-edge applications and methodologies, this journal seeks to inspire further innovation and collaboration at the nexus of civil engineering and AI technology. The content covers the latest advancements in AI-driven design optimization, construction automation, and real-time data analytics, offering insights into how these technologies enhance efficiency, reduce costs, and improve the safety and resilience of infrastructure projects. The journal also addresses the challenges and ethical considerations associated with implementing AI in civil engineering, such as data privacy, algorithmic transparency, and the need for interdisciplinary skillsets.Special emphasis is placed on the role of AI in facilitating sustainable development through smart city initiatives, resource management, and environmental impact assessments. The journal includes detailed discussions on the use of machine learning algorithms for early warning systems in disaster-prone areas, the deployment of AI in monitoring and maintaining aging infrastructure, and the potential of AI to revolutionize transportation systems through autonomous vehicles and intelligent traffic management. Furthermore, the journal explores collaborative projects that blend traditional engineering practices with modern AI techniques, highlighting successful case studies and lessons learned from global implementations. By providing a platform for knowledge exchange and thought leadership, this journal aims to bridge the gap between academic research and practical applications, fostering a deeper understanding of how AI can be harnessed to tackle the complex challenges facing the civil engineering industry today and in the future.
Keywords: Artificial Intelligence, Civil Engineering, Smart Infrastructure, Predictive Maintenance, Structural Analysis, Urban Planning, AI Technology
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Journal of Structural Engineering and Management
| Volume | |
| Received | April 2, 2024 |
| Accepted | April 4, 2024 |
| Published | May 20, 2024 |
