Determination of Grouping Factors for Bridge Deterioration Analysis
Publication: Construction Research Congress 2024
ABSTRACT
Evaluating the deterioration process of bridges is a fundamental part of a good bridge management program by providing cost-effective maintenance strategies, given agency-defined goals and constraints. The deterioration of bridge structures over their lifetimes depends on various factors, such as material types, design types, geographic locations, and operational and environmental conditions. Grouping bridges at the level of components or elements is necessary to reduce data dimensionality in data analysis and formalize deterioration models through a statistical analysis while producing the same analytical results (i.e., homogeneous deterioration characteristics). However, grouping factors by which bridge structures are believed to show similar deterioration characteristics over time are determined based on the improvised, heuristic classification of bridges. This study conducted a data-driven similarity analysis to statistically determine grouping factors for bridge components. The results of this study demonstrated the effectiveness of the similarity analysis approach used in this paper. This research makes noteworthy contributions by introducing a novel data-driven methodology for identifying factors that facilitate the grouping of bridges, an approach that has not been explored before. Additionally, it enhances homogeneity within bridge groups, improving the reliability and robustness of bridge deterioration models.
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Information & Authors
Information
Published In
Construction Research Congress 2024
Pages: 238 - 248
History
Published online: Mar 18, 2024
ASCE Technical Topics:
- Architectural engineering
- Bridge components
- Bridge engineering
- Bridge management
- Bridge tests
- Building management
- Data analysis
- Deterioration
- Engineering fundamentals
- Field tests
- Maintenance and operation
- Materials characterization
- Materials engineering
- Mathematics
- Methodology (by type)
- Research methods (by type)
- Statistics
- Structural engineering
- Tests (by type)
Authors
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