Artificial Intelligence and Digital Twin Technologies in Civil Engineering: Applications, and Sustainable Implications
Year: 2025
Type: conference-paper
Abstract: : Civil engineering is entering a new era where Artificial Intelligence (AI) and Digital Twin (DT) technologies are no longer futuristic ideas but everyday tools that reshape how we design, build, and manage infrastructure. AI brings the power of learning from data, predicting outcomes, and automating complex tasks, while Digital Twins create living digital replicas of bridges, roads, and buildings that can be monitored and optimized in real time. Together, they help reduce costs, cut waste, improve safety, and support more sustainable practices. This paper brings together insights from recent studies to show how AI and DT are transforming areas such as structural design, transportation systems, geotechnical analysis, and construction management. It also highlights the opportunities like efficiency and sustainability and the challenges, including data privacy and ethical concerns. By combining intelligence with digital replication, civil engineering is moving toward smarter, safer, and greener solutions that align with the global push for sustainable development.
Author: Sharma, Atul Kumar
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7091498906
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