APPLICATION OF STATISTICAL MODEL TO DETERMINE THE PERFORMANCE LEVEL DUE TO DAMAGE OF THE CONCRETE STRUCTURAL ELEMENTS
Keywords:Bridge performance, level scale 0-5, ordinal multi-regression, performance changing period, programming.
Bridges must always be in good condition to support public transit, and traffic flow must provide road users with comfort and safety. Consequently, bridge repair must adhere to the criteria. Good performance requires four levels of maintenance: non-structural, structural, periodic, and restoration procedures. The deterioration of the bridge’s components caused by public transit diminishes its functionality. The major performance benchmark then moves from zero to five. The bridge’s concrete floor is one of the essential components since it rapidly absorbs traffic strain, making it more vulnerable to damage. Therefore, for optimal treatment, further care is necessary. Included in the observation data for the model are 240 bridges located on heavily used national roads in Indonesian provinces. Examples of changeable data include bridge age, traffic volume, concrete quality, superstructure features, and others. The ages of bridges vary from 5 to 40 years. Using a statistical model, a relationship between the value performance and damage variables is established, resulting in a model curve. A study of many linear regressions indicates a nonlinear angle produced by the most damaging factors. On the other hand, Ordinal logistic regression provides an integer scale; the benefit of this model is that its value drops in response to restoration to the prime state by its maintenance program. Over 52.5 years, the model represents deterioration on a scale of 5 from good to incorrect. Consequently, this curve model is essential for properly managing the decline in finance
How to Cite
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.