Bridge Element Data Collection and Use (2022) / Chapter Skim
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18 Overview A survey of state practices was conducted to document current state DOT practices and experience regarding collecting and ensuring the accuracy of element-level data. The synthesis also examined how the state DOTs are using bridge element data in asset management decision-making.
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State of the Practice 19 State of the Practice in Bridge Element Data Collection Initial questions in the survey examined the current practice and DOT preferences in bridge element data collection. All state DOTs reported that they are collecting data for NBEs, aligned with the requirement to have begun collecting element-level data by October 1, 2014, per 23 U.S.C.
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20 Bridge Element Data Collection and Use Examination of the ADEs from these shared manuals shows five general trends in the selection of these elements.
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State of the Practice 21 (e.g., cracking, delamination, exposed rebar, efflorescence, and damage)
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22 Bridge Element Data Collection and Use • Ultrasonic. This method consists of measuring the time needed for ultrasonic pulses to travel through concrete members and can be used to detect cracks and voids, determine the quality of concrete compressive strength, measure the variation of elastic modulus over the concrete deck, and locate and measure cracks or discontinuities in steel members (Rens, Nogueira, and Transue 2005; Hooks and Weidner 2016; Kaczmarek, Piwakowski, and Drelich 2017)
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State of the Practice 23 confidence and 6% with low confidence (Figure 3-6)
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24 Bridge Element Data Collection and Use The status of element deterioration models is very similar to that of the element cost models (Figure 3-10)
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State of the Practice 25 in their BMSs. More than 25% of the state DOTs (13 agencies)
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26 Bridge Element Data Collection and Use applying bridge element data for this purpose. The Connecticut DOT is currently transitioning from a component-based BMS to an element-based BMS.
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State of the Practice 27 the asset management decisions that they make when relying on component data and models; however, only 23 state DOTs (about 45%) acknowledged moderate or high confidence in their decisions based on element data and models.
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28 Bridge Element Data Collection and Use One-fourth of the state DOTs do not integrate element data or models into asset management decisions. Confidence in models and decision-making based on component data is relatively high compared to the same measure of decisions based on element data or models.
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