The Experts below are selected from a list of 96 Experts worldwide ranked by ideXlab platform

Julie M Vandenbossche - One of the best experts on this subject based on the ideXlab platform.

  • s r 22 smart pavement response characteristics of a jointed plain concrete pavement to applied and environmental loads phase ii final report
    2008
    Co-Authors: Jennifer K Mccracken, Rania E Asbahan, Julie M Vandenbossche
    Abstract:

    The primary objective of this study is to develop tools used in the design and construction of more cost-effective concrete pavements. One of the project goals is to establish the inputs suitable for the Pennsylvania Department of Transportation to use in the new Mechanistic-Empirical Pavement Design Guide (MEPDG) (ver. 1.0) by establishing the following for the site conditions on SR 22 in Murrysville, Pennsylvania: concrete material properties; strength correlations; gradients that develop throughout the pavement structure; construction and seasonal curling and warping and pavement response under environmental and applied loads. A summary of the MEPDG inputs as well as the sensitivity of the performance prediction of the Smart Pavement to inputs defined using different hierarchical levels was provided. The measured temperature and moisture conditions throughout the pavement structure were compared to those predicted by the Enhanced Integrated Climatic Model, which is embedded in the MEPDG. The change in the shape of the slab as a result of seasonal gradients was defined based on the static strain and Pressure Gage data and slab profile measurements. Dynamic strain data were collected in conjunction with known truck loads and axle configurations and falling weight deflectometer testing. While the sensor data was collected continuously every 15 minutes since the time of construction, field data measurements were made seasonally for the first three years after paving. Finally, a finite element model was developed and validated using strain measurements from the dynamic strain testing. Findings have been provided based on the first three years of measurements. A subsequent report will be published under Contract 510601/WO-003 that will discuss the stress generated by these applied loads. The stress determined using the validated finite element model will then be used to evaluate the performance prediction of the MEPDG based on the accumulated damage produced by the calculated stress.

V. R. Vardanyan - One of the best experts on this subject based on the ideXlab platform.

  • Highly sensitive resonant piezoelectric Pressure Gage with a high load capacity
    Measurement Techniques, 1997
    Co-Authors: V. R. Vardanyan
    Abstract:

    The load capacity of a new differential Pressure Gage that has been developed has been increased 24-fold by precompression of the piezoelectric elements. The system proposed for force transmission in the Gage significantly increases the conversion factor. The Gage is also more thermally stable than previous designs. The symmetry and monolithic construction of the force-transmitting system enhances the vibrational stability of the Gage and alleviates hysteresis.

U. Hacizade - One of the best experts on this subject based on the ideXlab platform.

  • Calibration of the Pressure Gage via GA and LSM Based Combined Calibration Method
    IFAC-PapersOnLine, 2020
    Co-Authors: U. Hacizade
    Abstract:

    Abstract Low cost accurate measurement apparatus are one of the main goal of metrology engineers. One way for decreasing the sensor uncertainties is the calibration process. This study deals with the calibration of a low cost sensor using the corresponding values obtained by reference standards. From the practical point of view, the calibration characteristics should be in a polynomial form. In this study a Genetic Algorithm (GA) is used for the measurement apparatus calibration purpose. As an example, GA based calibration of a differential Pressure gauge using standard Pressure setting devices is examined. The calibration results, founded using proposed GA, are compared with the results obtained via the classical Least Square Method (LSM). As a result, the recommendations on how to get the better calibration characteristics for the differential Pressure gauge are given.

V. P. Kulesh - One of the best experts on this subject based on the ideXlab platform.

  • Study of the characteristics of a sea-level Gage based on a laser interferometer
    Measurement Techniques, 1994
    Co-Authors: V. P. Kulesh
    Abstract:

    An analysis is made of the feasibility of using a laser-interferometric hydrostatic Pressure Gage as a sea-level Gage for the detection of tsunamis far from shore. The resolution and thermal stability required of the Gage are established and a brief description is given of the model and the laboratory unit used for experimental studies. The metrological characteristics of the Gage permit measurement of fluctuations of sea level with a resolution of the order of 10 mm, which is sufficient to detect tunami waves from a depth of about 300 m.

Jennifer K Mccracken - One of the best experts on this subject based on the ideXlab platform.

  • s r 22 smart pavement response characteristics of a jointed plain concrete pavement to applied and environmental loads phase ii final report
    2008
    Co-Authors: Jennifer K Mccracken, Rania E Asbahan, Julie M Vandenbossche
    Abstract:

    The primary objective of this study is to develop tools used in the design and construction of more cost-effective concrete pavements. One of the project goals is to establish the inputs suitable for the Pennsylvania Department of Transportation to use in the new Mechanistic-Empirical Pavement Design Guide (MEPDG) (ver. 1.0) by establishing the following for the site conditions on SR 22 in Murrysville, Pennsylvania: concrete material properties; strength correlations; gradients that develop throughout the pavement structure; construction and seasonal curling and warping and pavement response under environmental and applied loads. A summary of the MEPDG inputs as well as the sensitivity of the performance prediction of the Smart Pavement to inputs defined using different hierarchical levels was provided. The measured temperature and moisture conditions throughout the pavement structure were compared to those predicted by the Enhanced Integrated Climatic Model, which is embedded in the MEPDG. The change in the shape of the slab as a result of seasonal gradients was defined based on the static strain and Pressure Gage data and slab profile measurements. Dynamic strain data were collected in conjunction with known truck loads and axle configurations and falling weight deflectometer testing. While the sensor data was collected continuously every 15 minutes since the time of construction, field data measurements were made seasonally for the first three years after paving. Finally, a finite element model was developed and validated using strain measurements from the dynamic strain testing. Findings have been provided based on the first three years of measurements. A subsequent report will be published under Contract 510601/WO-003 that will discuss the stress generated by these applied loads. The stress determined using the validated finite element model will then be used to evaluate the performance prediction of the MEPDG based on the accumulated damage produced by the calculated stress.