Comparative Analysis between Modern-Era Retrospective Analysis for Research and Applications and Updated Mechanistic-Empirical Pavement Design Guide Climate Database in the State of Tennessee

Author(s):  
Abubakr Ziedan ◽  
Mbakisya Onyango ◽  
Weidong Wu ◽  
Sampson Udeh ◽  
Joseph Owino ◽  
...  

The Mechanistic-Empirical Pavement Design Guide addresses climate effects on pavement design in a comprehensive way, which allows for investigating the effect of climate on pavement performance. However, it requires detailed climate inputs, which might not be readily available for most of the state departments of transportation. The AASHTOWare Pavement Mechanistic-Empirical Design (PMED) version 2.3 (v2.3) climate database encompasses 12 weather stations in the state of Tennessee, which does not satisfactorily represent all climatic regions in the state. The terrain in Tennessee varies from flat in the west to mountainous in the east. To evaluate the effectiveness of the updated AASHTOWare PMED v2.3 climate data input, this study analyses the performance of selected pavements in the state of Tennessee using the Modern-Era Retrospective Analysis for Research and Applications (MERRA) and the AASHTOWare PMED v2.3 databases as sources of PMED climate data inputs. A comparative analysis of the two climate data sources is conducted using eight long-term pavement performance (LTPP) sites in the state of Tennessee. The study revealed that MERRA as a climate data source for the state of Tennessee offers better geographic coverage, and therefore provides more precise distress predictions than the AASHTOWare PMED v2.3 climate database.

Author(s):  
Georgene Malone Geary ◽  
Yichang (James) Tsai

3D pavement data are increasing in use and availability and open up new opportunities to evaluate variability in pavements. The majority of information we currently have on existing pavements is the result of the Long Term Pavement Performance Program (LTPP). While the program is comprehensive and the data are immense, the study sections are typically only 500 ft in length, which limits the ability to accurately gauge the variability of the distresses in a pavement over a longer length, especially cracking in Jointed Plain Concrete (JPC) slabs. 3D pavement data already collected by transportation agencies have the opportunity to complement LTPP data to analyze variability and improve the use of LTPP data. This paper presents a unique method to complement LTPP data using 3D pavement data, consisting of four steps: (1) crack detection using 3D pavement data; (2) categorize detected cracks by orientation and extent by slab using 3D slab-based methodology; (3) convert categorized slab level cracking into mechanistic-empirical pavement design guide cracking; and (4) perform local calibration with the 3D converted input values. The method uses 3D pavement data to provide a non-discrete value for percent cracking in GPS-3 LTPP sections for the purposes of local calibration. The proposed method is shown to be feasible using 3D pavement data and two JPC LTPP sections in Georgia. The method could be extended to any of the state Departments of Transportation that have active LTPP sections and are now or will shortly be collecting 3D pavement data.


2013 ◽  
Vol 25 (3) ◽  
pp. 308-317 ◽  
Author(s):  
Elie Y. Hajj ◽  
Peter E. Sebaaly ◽  
Thileepan Sathanathan ◽  
Sivakulan Shivakolunthar

Author(s):  
Tommy Nantung ◽  
Ghassan Chehab ◽  
Scott Newbolds ◽  
Khaled Galal ◽  
Shuo Li ◽  
...  

The release of the Mechanistic–Empirical Design Guide for New and Rehabilitated Pavement Structures (M-E design guide) generated a new paradigm for designing and analyzing pavement structures. It is expected to replace the commonly used empirical design methodologies. The M-E design guide uses a comprehensive suite of input parameters deemed necessary to design pavements with high reliability and to predict pavement performance and distresses realistically. However, the considerable amount of input needed and the selection of the corresponding reliability level for each might present state highway agencies with complexities and challenges in its implementation. An overview is presented of ongoing investigative studies, sensitivity analyses, and preimplementation initiatives conducted by the Indiana Department of Transportation (INDOT) in an effort to accelerate the adoption of the new pavement design guide by efficiently using existing design parameters and determining those parameters that influence the predicted performance the most. Once the sensitive inputs are identified, the large amount of other required design input parameters can be significantly reduced to a manageable level for implementation purposes. A matrix of trial runs conducted with the M-E design guide software suggests that a higher design level input does not necessarily guarantee a higher accuracy in predicting pavement performance. The software runs also confirmed the need to use input values obtained from local rather than national calibration. Such findings are important for state highway agencies such as INDOT in drafting initiatives for implementing the M-E design guide.


Author(s):  
Yuliia Nehoda

The subject of the research – is a set of organizational-economic relations arising in the process of structural transformation of financial and credit relations in the agricultural business. The purpose of the article is a retrospective analysis of structural transformations of financial and credit relations in the agricultural business, evaluation of the effectiveness and feasibility of the introduction of agricultural receipts as a new instrument of lending to the agricultural business of the regions. Methodology of work – system-structural and comparative analyzes (to determine the effectiveness of the crediting mechanism according to the agricultural receipts of the farmers of the region); monographic (when studying the problems of the functioning of the mechanism of lending to agrarians by agrarian receipts) economic analysis (when carrying out a comparative analysis of the mechanism of classical bank lending to the agrarian business and the mechanism of lending to agrarians according to agrarian receipts); modeling and forecasting (when determining ways to overcome the existing deficiencies in the mechanism of lending to agrarian business entities of the region according to agrarian receipts). The results of the work – a retrospective analysis of the structural transformation of financial and credit relations in the agricultural business was carried out. The mechanism of crediting agrarians according to agrarian receipts and the scale of its distribution in the agrarian business of the region are considered. A comparative analysis of the mechanism of classical bank lending to the agrarian business and the mechanism of lending to agrarians according to agrarian receipts was carried out. In the framework of the pilot project “Agrarian receipts in Ukraine” of the international financial corporation (IFC) in partnership with the Swiss Confederation in Ukraine, the example of the Poltava region defined the effectiveness of the crediting mechanism according to the agrarian receipts of the agrarians of the region. The advantages and disadvantages of the mechanism of crediting the subjects of the agrarian business on agrarian receipts are noted. The ways to overcome the existing shortcomings of the mechanism of crediting the subjects of the agrarian business of the region according to agricultural receipts are determined. Conclusions – according to the results of the conducted research, the effectiveness of the mechanism of lending to the agricultural business of the regions according to agricultural receipts was proved, its advantages and disadvantages were noted, and attention was also focused. Proposed in Art. 7 of Law No. 5479-VI clearly delineate cases and restrictions on the debtor’s reimbursement of expenses incurred by the lender with the acquisition of the right to grow and harvest the pledged crop of agricultural products, which will ensure the principle of equality of parties on economic benefits and distribution of credit risks according to agricultural receipts.


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