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Revisiting Features Used in Forecasting the Conditions of Bridge Components
Book chapter

Revisiting Features Used in Forecasting the Conditions of Bridge Components

Hung P. Thach, Viet Thanh Nguyen and Long D. Nguyen
Proceedings of the Third International Conference on Sustainable Civil Engineering and Architecture, pp.642-653
Lecture Notes in Civil Engineering, Springer Nature Singapore
2024

Abstract

Bridge Condition rating Deck Prediction Substructure Superstructure
This study explored features that potentially effects the conditions of bridge components such as decks, substructures, and superstructures. The study utilized the 2022 National Bridge Inventory (NBI) data and Moderation Analysis (MA) to investigate the features. The study first assessed 24 features used in previous studies for forecasting bridge component conditions. MA was then used to confirm the effects of these features on bridge component conditions. The current study further identified additional 28 features. The combined 52 proposed features were finally divided into four groups, including Geographic Region (A), Bridge Other Attributes (B), Structure Configuration (C), and Condition Rating (D). The identification of these features is the first and important step for forecasting bridge component conditions.

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UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#9 Industry, Innovation and Infrastructure

Source: SDGs in the Output

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