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Showing 1 to 9 of 9 for “"Local Calibration"”.

  1. Characterization of traffic load and local calibration of the MEPDG for New Mexico

    … these WIM sites are evaluated for their use for local calibration of the MEPDG. An algorithm is developed in Visual Basic Application (VBA) to check the quality of WIM data. In essence, frequency distributions of the gross vehicle weight and the front steering axle weight are calculated and …

    unm Repository record for Characterization of traffic load and local calibration of the MEPDG for New Mexico (opens in a new tab)

  2. Local calibration of the MEPDG prediction models for pavement rehabilitation and evaluation of top-down cracking for Oregon Roadways

    … sections throughout Oregon were included in this calibration study. A detailed comparison of predictive and measured distresses was made using the MEPDG released software Darwin M-E (Version 1.1). It was found that Darwin M-E predictive distresses did not accurately reflect measured distresses, …

    iastate Repository record for Local calibration of the MEPDG prediction models for pavement rehabilitation and evaluation of top-down cracking for Oregon Roadways (opens in a new tab)

  3. Validating the empirical distress prediction models within the AASHTOWare Pavement Mechanistic-Empirical Design, using Tennessee pavement performance data from the Long Term Pavement Performance database

    … national data, necessitating validation and local calibration before implementation on a local scale. Moreover, updates to PMED present possibilities for continuous evaluation to account for improvements in the distress prediction models. This study validates PMED version 2.6.2.2’s prediction …

    utc Repository record for Validating the empirical distress prediction models within the AASHTOWare Pavement Mechanistic-Empirical Design, using Tennessee pavement performance data from the Long Term Pavement Performance database (opens in a new tab)

  4. Testing methods for calibrating Forest Vegetation Simulator (FVS) diameter growth predictions

    … systems, FVS was designed to include an internal calibration algorithm that makes use of growth observations, when available, from permanent inventory plots. The basic idea is that observed growth rates on a collection of remeasured trees are used to adjust or "calibrate" FVS diameter growth …

    vt Repository record for Testing methods for calibrating Forest Vegetation Simulator (FVS) diameter growth predictions (opens in a new tab)

  5. Evaluation of climate data sources and investigation of performance prediction models for mechanistic-empirical pavement designs

    … previous versions that warranted the need for re-calibration for state-specific conditions (commonly known as local calibration) using the latest version of the software (version 2.5.5 released in June 2019). Evaluation of nationally-calibrated models is performed for flexible, rigid and asphalt …

    iastate Repository record for Evaluation of climate data sources and investigation of performance prediction models for mechanistic-empirical pavement designs (opens in a new tab)

  6. Risk Analysis and Reliability Improvement of Mechanistic-Empirical Pavement Design

    … tasks were accomplished in this research. First, local calibration using 38 pavement sections was completed to reduce the system bias and dispersion of the nationally calibrated MEPDG. Second, uncertainty and risk in the MEPDG were identified using Hierarchical Holographic Modeling (HHM). To …

    arkansas Repository record for Risk Analysis and Reliability Improvement of Mechanistic-Empirical Pavement Design (opens in a new tab)

  7. Improved dynamics modelling for drainage sediment prediction and management

    … a model with reduced likelihood of inappropriate calibration.<br/><br/>In verification tests, the combined sediment prediction model was found to be able to predict the location of sediment deposits to a level of accuracy suitable for allowing operational decisions to be made. Under quantitative …

    abertay Repository record for Improved dynamics modelling for drainage sediment prediction and management (opens in a new tab)