The advent of artificial intelligence (AI) is transforming the civil engineering sector, offering unique opportunities to enhance the sustainability of infrastructure systems worldwide. This chapter explores the transformative impact of AI on the sustainability of civil engineering infrastructure, examining its potential to optimize design, construction, and maintenance processes, reduce environmental footprint, and improve resilience to climate change. Through a comprehensive review of current research and applications, the role of AI in promoting sustainable infrastructure development, including its use in predictive maintenance, energy-efficient design, and smart materials will be investigated in this study. Also, the challenges and limitations of AI adoption in civil engineering, including data quality, cybersecurity, and workforce development will be discussed. Case studies from around the world illustrating the successful implementation of AI in civil engineering projects, demonstrating its potential to reduce costs, improve safety, and enhance the overall sustainability of infrastructure systems will be highlighted. This chapter provides a timely and authoritative overview of the global impact of AI on the civil engineering infrastructure, highlighting its potential to shape a more sustainable and resilient built environment for future generations.

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Global Impact of Artificial Intelligence on the Sustainability of Civil Engineering Infrastructure

  • Ifeyinwa Ijeoma Obianyoa,
  • Sylvia Echezona Kelechi,
  • Ado Mohammed,
  • Assia Abuobakar Mahamata,
  • Azikiwe Peter Onwualu

摘要

The advent of artificial intelligence (AI) is transforming the civil engineering sector, offering unique opportunities to enhance the sustainability of infrastructure systems worldwide. This chapter explores the transformative impact of AI on the sustainability of civil engineering infrastructure, examining its potential to optimize design, construction, and maintenance processes, reduce environmental footprint, and improve resilience to climate change. Through a comprehensive review of current research and applications, the role of AI in promoting sustainable infrastructure development, including its use in predictive maintenance, energy-efficient design, and smart materials will be investigated in this study. Also, the challenges and limitations of AI adoption in civil engineering, including data quality, cybersecurity, and workforce development will be discussed. Case studies from around the world illustrating the successful implementation of AI in civil engineering projects, demonstrating its potential to reduce costs, improve safety, and enhance the overall sustainability of infrastructure systems will be highlighted. This chapter provides a timely and authoritative overview of the global impact of AI on the civil engineering infrastructure, highlighting its potential to shape a more sustainable and resilient built environment for future generations.