Leveraging Artificial Intelligence In Engineering Management And Safety Of Infrastructure
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Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure
The design, construction, and upkeep of infrastructure is comprised of a multitude of dimensions spanning a highly complex paradigm of interconnected opportunities and challenges. While traditional methods fall short of adequately accounting for such complexity, artificial intelligence (AI) presents novel and out-of-the-box solutions that effectively tackle the growing demands of our infrastructure. The convergence between AI and civil engineering is an emerging frontier with tremendous potential. The book is likely to provide a boost to the state of infrastructure engineering by fostering a new look at civil engineering that capitalizes on AI as its main driver. It highlights the ongoing push to adopt and leverage AI to realize contemporary, intelligent, safe, and resilient infrastructure. The book comprises interdisciplinary and novel works from across the globe. It presents findings from innovative efforts supplemented with physical tests, numerical simulations, and case studies – all of which can be used as benchmarks to carry out future experiments and/or facilitate the development of future AI models in structural engineering, traffic engineering, construction engineering, and construction materials. The book will serve as a guide for a wide range of audiences, including senior undergraduate and graduate students, professionals, and government officials of civil, traffic, and computer engineering backgrounds, as well as for those engaged in urban planning and human sciences.
Smart Infrastructure Management
People and businesses rely on transportation networks every day, but what happens when critical assets fail unexpectedly or pollute our environment? Smart Infrastructure Management provides an interdisciplinary exploration of this intricate and dynamic landscape, enriching the theoretical and practical understanding of state-of-the-art technologies that can productively support various stakeholders in the decision-making process throughout the entire lifecycle of infrastructure projects.The volume examines the evolutionary trajectory, inherent challenges, and pivotal methodologies of modern infrastructure management, with a narrative that spans several domains to coordinate a fully integrated approach. Key topics include data collection and sensors, spatial modeling and simulation tools, asset management, preventative or predictive maintenance measures, computational techniques, cybersecurity, and decision support systems. The transformative impact of smart cities is also explored, emphasizing their role in enhancing infrastructure capabilities.With real-world case studies systematically featured to illustrate successful implementations and valuable lessons learned, this investigation appeals not only to researchers and students but also to professionals across diverse fields, ensuring that effective strategies are integrated into industry practices, which are essential for improving infrastructure capabilities in line with society's ever-changing needs. - Connects a robust theoretical foundation with real-world application efforts spanning various critical assets, including tracks, bridges, and roads. - Leverages the latest developments in technology and infrastructure management best practices to address current challenges. - Offers valuable insights into future trends, fostering further research endeavors. - Acknowledges the pressing need to correlate economics, resilience, and sustainability facets into project decision-making
Smart & Sustainable Infrastructure: Building a Greener Tomorrow
This book gathers peer-reviewed contributions presented at the 1st Interdisciplinary Symposium on Smart & Sustainable Infrastructure (ISSSI), held in Vancouver, BC, Canada, on September 4–8, 2023, and affiliated with the 77th RILEM Annual Week 2023. Aiming at creating an environment of mutual cooperation between experts in materials and structures, it covers topics such as sensors, IoT, and structural health monitoring, AI and machine learning, data analytics for infrastructure management, nanotechnology, additive manufacturing, smart and bioinspired materials, durability of materials and structures, resilience to earthquakes, floods, fire and blast, carbon reduction in construction and operations, and sustainable ultra-high performance materials. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.