Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 6 of 6 for “"National Bridge Inventory (NBI)"”.
-
Data Driven Bridge Deck Deterioration Modeling and Maintenance Intervention Scheduling
<p>Majority of over 617,000 bridges across the United States are significantly impacted by environmental factors, aging materials, and heavy traffic loads. According to the 2021 Infrastructure Report, nearly 231,000 bridges require repair or preservation work, with 46,154 (7.5%) being classified as …
-
A design performance driven learning framework for conceptual design knowledge : methodology development and applications
… framework for automation of acquisition of bridge conceptual design knowledge. The thesis proposes a new learning methodology explicitly aimed at capturing quality design aspects to help engineer gain insight into good design. The research uses the National Bridge Inventory (NBI) data, which …
-
Artificial Intelligence Driven Infrastructure Management and Maintenance Plan
… environmental information, human factors, and bridge general condition ratings (GCR) from the National Bridge Inventory (NBI) database was applied to analyze the effects of various parameters on bridge deterioration trends. Prestressed concrete bridges were selected within 25 miles of each WIM …
-
Tensor factorization in civil infrastructure systems
… from civil infrastructure such as pavements and bridges may not necessarily have a matrix-structure. They may have an inherent multidimensional structure. Using analysis techniques that preserve this natural multidimensionality can provide additional knowledge about infrastructure systems …
-
Domain-specific adaptation of large language models and integration with knowledge graph analytics for enhanced bridge maintenance decision making
Bridges are critical components of transportation infrastructure, ensuring mobility and economic connectivity. However, a large portion of U.S. bridges are in poor condition, raising significant safety and maintenance challenges. According to the 2025 ASCE Infrastructure Report Card, 42% of U.S. …
-
Machine learning-based analytics of structured and unstructured data for enhanced bridge deterioration prediction
The increasing availability of heterogeneous bridge data from multiple sources opens unprecedented opportunities for data analytics to better predict bridge deterioration for supporting enhanced bridge maintenance decision making. Such data include structured National Bridge Inventory (NBI) and …