People and businesses rely on transportation networks every day, but what happens when critical assets break unexpectedly, or worse, when they pollute our environment and threaten our natural resources? Smart Infrastructure Management is an up-to-date, inter-disciplinary exploration of this intricate and dynamic landscape, with the overarching aim of providing theoretical and practical understanding of state-of-the-art technologies that can effectively support a variety of stakeholders in the decision-making process throughout the entire lifecycle of an infrastructure project. The volume…mehr
People and businesses rely on transportation networks every day, but what happens when critical assets break unexpectedly, or worse, when they pollute our environment and threaten our natural resources? Smart Infrastructure Management is an up-to-date, inter-disciplinary exploration of this intricate and dynamic landscape, with the overarching aim of providing theoretical and practical understanding of state-of-the-art technologies that can effectively support a variety of stakeholders in the decision-making process throughout the entire lifecycle of an infrastructure project. The volume examines the evolutionary trajectory, inherent challenges, and pivotal methodologies for modern-day infrastructure management, with a narrative that traverses the complex frameworks of different domains to coordinate a transformative, fully integrated approach. Data collection and sensors, spatial modeling and simulation tools, asset management, preventative or predictive maintenance measures, computational techniques, cybersecurity, decision support systems, and the transformative influence of smart cities contribute to the book’s breadth and depth. Real-world case studies are strategically interwoven throughout, offering tangible examples of encouragingly successful implementations and valuable lessons learnt. The appeal of the investigation is thus expanded from researchers and students to professionals across diverse fields, ensuring that actionable strategies are incorporated in industry practice too - paramount for the improvement of infrastructure capabilities in step with society’s ever-changing needs.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Shi (Sheldon) Qiu is a Professor in the School of Civil Engineering at Central South University (CSU). From 2015 to 2019, he was an Associate Professor at the Beijing University of Technology after serving as a postdoctoral fellow at the University of Texas in 2014. With a PhD in Civil Engineering from Oklahoma State University (2013), an M.S. and a B.S. in Management Science from Beijing Jiaotong University (2009, 2007), his interdisciplinary research focuses on transportation (pavement, airport, rail) and municipal (e.g., utility tunnels) infrastructure development, performance measurements, and intelligent infrastructure asset management and operation. Dr. Qiu currently also serves as the executive deputy director of the Research Center for Railway Infrastructure Smart Monitoring and Management at CSU. He has published extensively on these topics in leading academic journals. He has also been awarded numerous research grants from government agencies and industry sponsors to support his work, which is making significant contributions to the field of civil engineering and infrastructure monitoring.
Inhaltsangabe
1. Introduction to Infrastructure Management 2. Fundamentals of Computer Science for Infrastructure Management 3. Data Collection and Sensors in Infrastructure Management 4. Infrastructure Modeling and Simulation 5. Asset Management and Maintenance 6. Computational Techniques 7. Cybersecurity in Infrastructure Management 8. Decision Support Systems 9. Smart Cities and Infrastructure Management 10. Future Trends and Challenges 11. Case Studies 12. Conclusion and Future Directions
1. Introduction to Infrastructure Management 2. Fundamentals of Computer Science for Infrastructure Management 3. Data Collection and Sensors in Infrastructure Management 4. Infrastructure Modeling and Simulation 5. Asset Management and Maintenance 6. Computational Techniques 7. Cybersecurity in Infrastructure Management 8. Decision Support Systems 9. Smart Cities and Infrastructure Management 10. Future Trends and Challenges 11. Case Studies 12. Conclusion and Future Directions
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