Global Procedure for Temperature Adjustment of Measured Pavement Deflection Data: Based on the Long-Term Pavement Performance Seasonal Monitoring Program

2016 ◽  
Vol 2589 (1) ◽  
pp. 146-153 ◽  
Author(s):  
Tyler Dawson ◽  
Gilbert Baladi ◽  
Gopikrishna Musunuru ◽  
Michael Prohaska ◽  
Yan (Jane) Jiang
Keyword(s):  
Monitoring Program ◽  
Pavement Performance ◽  
Seasonal Monitoring

Use of Long Term Pavement Performance-Seasonal Monitoring Program Data to Develop and Validate a Generalized Regression Model to Predict the In-Situ Resilient Modulus of Subgrade Soils for Pavement Design and Evaluation

2020 ◽  
Vol 2674 (5) ◽  
pp. 673-684
Author(s):  
Mohamed Elshaer ◽  
Christopher DeCarlo ◽  
Wade Lein ◽  
Harshdutta Pandya ◽  
Ayman Ali ◽  
...  
Keyword(s):  
Prediction Model ◽  
Resilient Modulus ◽  
Monitoring Program ◽  
Pavement Design ◽  
Pavement Performance ◽  
Regression Approach ◽  
Seasonal Monitoring ◽  
Generalized Regression

Resilient modulus (Mr) is a critical input for pavement design as it is the main property used to evaluate the contribution of subgrade to the overall pavement structure. Considering this, practitioners need simple and accurate ways to determine the Mr of in-situ subgrade without the need for expensive and time-consuming testing. The objective of this study is to develop a generalized regression prediction model for in-situ Mr of subgrades, compare it with established prediction models, and assess the model’s predictions on pavement performance using the Mechanistic-Empirical Pavement Design Guide (Pavement ME). The prediction model was built using field data from 30 pavement sections studied in the Long Term Pavement Performance (LTPP) Seasonal Monitoring Program where backcalculated modulus from falling weight deflectometer testing, in-situ moisture contents, and subgrade material properties were considered in the model. Based on the results, it was found that liquid limit, plasticity index, WPI (the product of percent passing #200 and plasticity index), percent coarse sand, percent fine sand, percent silt, percent clay, moisture content, and their respective interactions were significant predictors of in-situ Mr values. The findings showed that the generalized regression approach was able to predict Mr more accurately than predictions from the Witczak model. To assess the application of the predictive model on pavement performance, three LTPP sections located in New York, South Dakota, and Texas were analyzed to predict the rutting performance based on Mr values obtained from the developed generalized prediction model and those obtained from the current Pavement ME model and then compared with rut depths measured in the field. The findings showed that, for coarse-grained subgrades that have a low degree of plasticity, the generalized regression model predicted rutting performance similar to the embedded Pavement ME model. For fine-grained subgrades, the developed model tends to predict lower rut depths which were closer to the field measured rut depths. Overall, the generalized regression approach was successfully applied to create a simple, practical, cost-effective and accurate Mr prediction model that can be used to estimate the stiffness of subgrades when designing and evaluating pavements.

Using Time Series to Incorporate Seasonal Variations in Pavement Design

1996 ◽  
Vol 1539 (1) ◽  
pp. 33-43 ◽  
Author(s):  
Hesham A. Ali ◽  
Neville A. Parker
Keyword(s):  
Time Series ◽  
Structural Properties ◽  
Seasonal Variations ◽  
Monitoring Program ◽  
Statistical Technique ◽  
Pavement Design ◽  
Seasonal Monitoring ◽  
Program Data ◽  
Series Technique

Analysis of the seasonal monitoring program data of the long term pavement performance program indicated that some pavement structural properties often follow predictable seasonal patterns. Time series is a statistical technique that may be used to develop periodic functions to predict the values of such properties as a function of time. The application of time series technique in characterizing the seasonal variations of pavement structural properties as simulated functions is presented. In addition, the incorporation of such variations in both empirical and mechanistic-empirical methods of flexible pavement design is demonstrated. To this end, a computer program, seasonal variation in pavement design, was written to carry out the required calculations and to facilitate the comparison between empirical and mechanistic-empirical design methods.

Opioid Consumption Patterns and Prolonged Opioid Use Among Opioid-Naïve Ankle Fracture Patients

2021 ◽  
pp. 193864002199292
Author(s):  
Hope Skibicki ◽  
Sundeep Saini ◽  
Ryan Rogero ◽  
Kristen Nicholson ◽  
Rachel J. Shakked ◽  
...  
Keyword(s):  
Ankle Fracture ◽  
Monitoring Program ◽  
Opioid Consumption ◽  
Consumption Patterns ◽  
Utilization Rate ◽  
Opioid Use ◽  
Index Procedure ◽  
Postoperative Visit ◽  
Fracture Surgery

Introduction Previous literature has demonstrated an association between acute opioid exposure and the risk of long-term opioid use. Here, the investigators assess immediate postoperative opioid consumption patterns as well as the incidence of prolonged opioid use among opioid-naïve patients following ankle fracture surgery. Methods Included patients underwent outpatient open reduction and internal fixation of an ankle or tibial plafond fracture over a 1-year period. At patients’ first postoperative visit, opioid pills were counted and standardized to the equivalent number of 5-mg oxycodone pills. Prolonged use was defined as filling a prescription for a controlled substance more than 90 days after the index procedure, tracked by the New Jersey Prescription Drug Monitoring Program up to 1 year postoperatively. Results At the first postoperative visit, 173 patients consumed a median of 24 out of 40 pills prescribed. The initial utilization rate was 60%, and 2736 pills were left unused. In all, 32 (18.7%) patients required a narcotic prescription 90 days after the index procedure. Patients with a self-reported history of depression (P = .11) or diabetes (P = .07) demonstrated marginal correlation with prolonged narcotic use. Conclusion Our study demonstrated that, on average, patients utilize significantly fewer opioid pills than prescribed and that many patient demographics are not significant predictors of continued long-term use following outpatient ankle fracture surgery. Large variations in consumption rates make it difficult for physicians to accurately prescribe and predict prolonged narcotic use. Level of Evidence: Level III

scholarly journals Light curve analysis of the late type binary V523 Cassiopeiae

2009 ◽  
pp. 45-48 ◽  
Author(s):  
O. Latkovic ◽  
M. Zboril ◽  
G. Djurasevic
Keyword(s):  
Light Curve ◽  
Monitoring Program ◽  
Neck Region ◽  
Bright Spot ◽  
Late Type ◽  
Light Curve Analysis ◽  
Type Contact ◽  
Contact Binary ◽  
Previous Solution

We present the analysis of V and R light curves of the late type contact binary V523 Cas for the season of 2006. These observations make part of the monitoring program aimed at studying the long-term light curve variability in this system. Our results confirm that the system is in an over contact configuration, and include a bright spot in the neck region of the cooler and larger primary. We compare these results with the previous solution, obtained for the season 2005 dataset and discuss the differences.

Distribution and Abundance of Odonata Species Across Massachusetts: Results of a Long-term Monitoring Program

2016 ◽  
Vol 23 (4) ◽  
pp. 501-524 ◽  
Author(s):  
Robert Buchsbaum ◽  
Christopher W. Leahy ◽  
Taber Allison
Keyword(s):  
Monitoring Program ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals Worldwide variations in artificial skyglow

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Christopher C. M. Kyba ◽  
Kai Pong Tong ◽  
Jonathan Bennie ◽  
Ignacio Birriel ◽  
Jennifer J. Birriel ◽  
...  
Keyword(s):  
Monitoring Program ◽  
Artificial Light ◽  
Clear Sky ◽  
International Monitoring ◽  
Sky Brightness ◽  
Ground Truthing ◽  
Study Sites ◽  
Night Sky Brightness ◽  
Key Questions

Abstract Despite constituting a widespread and significant environmental change, understanding of artificial nighttime skyglow is extremely limited. Until now, published monitoring studies have been local or regional in scope and typically of short duration. In this first major international compilation of monitoring data we answer several key questions about skyglow properties. Skyglow is observed to vary over four orders of magnitude, a range hundreds of times larger than was the case before artificial light. Nearly all of the study sites were polluted by artificial light. A non-linear relationship is observed between the sky brightness on clear and overcast nights, with a change in behavior near the rural to urban landuse transition. Overcast skies ranged from a third darker to almost 18 times brighter than clear. Clear sky radiances estimated by the World Atlas of Artificial Night Sky Brightness were found to be overestimated by ~25%; our dataset will play an important role in the calibration and ground truthing of future skyglow models. Most of the brightly lit sites darkened as the night progressed, typically by ~5% per hour. The great variation in skyglow radiance observed from site-to-site and with changing meteorological conditions underlines the need for a long-term international monitoring program.

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