EVALUATION OF CALIBRATION FACTOR TO IRI AASHTO MEPDG MODEL FOR ASPHALT OVERLAYS OF RIGID PAVEMENT ON SURABAYA GRESIK TOLL ROAD

Toll roads have a higher level of service and convinience than non toll roads and can serve long distance traffic flows with high mobility. One of the efforts to maintain the quality of toll roads, toll road operators are required to conduct a survey to measure the condition of toll roads. Intern...

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Main Author: Endy Adiyatma, Muhammad
Format: Theses
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/71434
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:71434
spelling id-itb.:714342023-02-07T13:49:31ZEVALUATION OF CALIBRATION FACTOR TO IRI AASHTO MEPDG MODEL FOR ASPHALT OVERLAYS OF RIGID PAVEMENT ON SURABAYA GRESIK TOLL ROAD Endy Adiyatma, Muhammad Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Theses IRI, MEPDG, Pavement Condition Index, Calibration Factor INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/71434 Toll roads have a higher level of service and convinience than non toll roads and can serve long distance traffic flows with high mobility. One of the efforts to maintain the quality of toll roads, toll road operators are required to conduct a survey to measure the condition of toll roads. International Roughness Index (IRI) is an index used to measure road roughness. The International Roughness Index (IRI) is one of the factors that affect the service function and comfort of road drivers. This study aims to evaluate the visual condition of the pavement with the PCI (Pavement Condition Index) method and compare it with the results of measuring IRI of the Surabaya Gresik toll road pavement in the segment being reviewed . and also evaluating the calibration factor on the IRI AASHTO MEPDG model for the Surabaya Gresik toll road pavement layer on the segment review. The methodology used is to conduct a primary survey with the PCI method and assessment of the road conditions in the segment being reviewed. After that, an evaluation of road conditions was carried out based on PCI and the results of IRI field measurements. Furthermore, the MEPDG IRI value was calculated using both global and local calibration factors. The local calibration factor was obtained from multiple linear regression analysis based on the distress parameters, IRI0 and the environment. Evaluation was carried out on the MEPDG IRI value based on global and local calibrations by comparing the IRI field measurement results. From the evaluation of yhe road conditions using the PCI method, it was found that the type of distress was dominated by alligator cracking, transverse cracking, and longitudinal cracking. Evaluation of the road scale rating based on the PCI and IRI field methods for overall having same result. Average road condition result is fair. In Assessment for the two stations,12+000 to 14+000 stations having the same assessment. Meanwhile, the other two stations, 16+000 to 17+000 and 18+000 to 19+000 have different ratings. Scale rating based on PCI method for stationing 16+000 to 17+000 is satisfactory while the scale rating based on IRI field is fair. Likewise for stationing 18+000 to 19+000, . Scale rating based on PCI method is poor and scale rating based on IRI field is good. Evaluation of the local calibration IRI MEPDG, equation model is obtained new equation that is IRI = IRI0 + 27.761 + 0,00825(SF) + 0.93094 (????????) + 0.11016 (????????). regression constant is 27,761 and local calibration for PCC2 dan PCC3 are 0,93094 and 0,11016. Based on analysis, the changes local calibration coefficient occured in fatigue cracking and transverse cracking coefficient. The rut depth calibration coefficient become not exist due to the very small amount of distress data compare the other type of distress. Site factor did not change because environmental troughout study area were uniform. By performing local calibration of the MEPDG IRI equation model, the obtained equation model is more in line with the conditions in the field. Prior to calibration, bias of the MEPDG IRI value compared to the IRI test results was 0.47 m/km. improvement occurs when local calibration is carried out, bias of the MEPDG IRI value compared to the test results IRI is 0.04 m/km. . However, the coefficient of determination and standard error between local calibration IRI and global IRI did not change significantly. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
spellingShingle Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
Endy Adiyatma, Muhammad
EVALUATION OF CALIBRATION FACTOR TO IRI AASHTO MEPDG MODEL FOR ASPHALT OVERLAYS OF RIGID PAVEMENT ON SURABAYA GRESIK TOLL ROAD
description Toll roads have a higher level of service and convinience than non toll roads and can serve long distance traffic flows with high mobility. One of the efforts to maintain the quality of toll roads, toll road operators are required to conduct a survey to measure the condition of toll roads. International Roughness Index (IRI) is an index used to measure road roughness. The International Roughness Index (IRI) is one of the factors that affect the service function and comfort of road drivers. This study aims to evaluate the visual condition of the pavement with the PCI (Pavement Condition Index) method and compare it with the results of measuring IRI of the Surabaya Gresik toll road pavement in the segment being reviewed . and also evaluating the calibration factor on the IRI AASHTO MEPDG model for the Surabaya Gresik toll road pavement layer on the segment review. The methodology used is to conduct a primary survey with the PCI method and assessment of the road conditions in the segment being reviewed. After that, an evaluation of road conditions was carried out based on PCI and the results of IRI field measurements. Furthermore, the MEPDG IRI value was calculated using both global and local calibration factors. The local calibration factor was obtained from multiple linear regression analysis based on the distress parameters, IRI0 and the environment. Evaluation was carried out on the MEPDG IRI value based on global and local calibrations by comparing the IRI field measurement results. From the evaluation of yhe road conditions using the PCI method, it was found that the type of distress was dominated by alligator cracking, transverse cracking, and longitudinal cracking. Evaluation of the road scale rating based on the PCI and IRI field methods for overall having same result. Average road condition result is fair. In Assessment for the two stations,12+000 to 14+000 stations having the same assessment. Meanwhile, the other two stations, 16+000 to 17+000 and 18+000 to 19+000 have different ratings. Scale rating based on PCI method for stationing 16+000 to 17+000 is satisfactory while the scale rating based on IRI field is fair. Likewise for stationing 18+000 to 19+000, . Scale rating based on PCI method is poor and scale rating based on IRI field is good. Evaluation of the local calibration IRI MEPDG, equation model is obtained new equation that is IRI = IRI0 + 27.761 + 0,00825(SF) + 0.93094 (????????) + 0.11016 (????????). regression constant is 27,761 and local calibration for PCC2 dan PCC3 are 0,93094 and 0,11016. Based on analysis, the changes local calibration coefficient occured in fatigue cracking and transverse cracking coefficient. The rut depth calibration coefficient become not exist due to the very small amount of distress data compare the other type of distress. Site factor did not change because environmental troughout study area were uniform. By performing local calibration of the MEPDG IRI equation model, the obtained equation model is more in line with the conditions in the field. Prior to calibration, bias of the MEPDG IRI value compared to the IRI test results was 0.47 m/km. improvement occurs when local calibration is carried out, bias of the MEPDG IRI value compared to the test results IRI is 0.04 m/km. . However, the coefficient of determination and standard error between local calibration IRI and global IRI did not change significantly.
format Theses
author Endy Adiyatma, Muhammad
author_facet Endy Adiyatma, Muhammad
author_sort Endy Adiyatma, Muhammad
title EVALUATION OF CALIBRATION FACTOR TO IRI AASHTO MEPDG MODEL FOR ASPHALT OVERLAYS OF RIGID PAVEMENT ON SURABAYA GRESIK TOLL ROAD
title_short EVALUATION OF CALIBRATION FACTOR TO IRI AASHTO MEPDG MODEL FOR ASPHALT OVERLAYS OF RIGID PAVEMENT ON SURABAYA GRESIK TOLL ROAD
title_full EVALUATION OF CALIBRATION FACTOR TO IRI AASHTO MEPDG MODEL FOR ASPHALT OVERLAYS OF RIGID PAVEMENT ON SURABAYA GRESIK TOLL ROAD
title_fullStr EVALUATION OF CALIBRATION FACTOR TO IRI AASHTO MEPDG MODEL FOR ASPHALT OVERLAYS OF RIGID PAVEMENT ON SURABAYA GRESIK TOLL ROAD
title_full_unstemmed EVALUATION OF CALIBRATION FACTOR TO IRI AASHTO MEPDG MODEL FOR ASPHALT OVERLAYS OF RIGID PAVEMENT ON SURABAYA GRESIK TOLL ROAD
title_sort evaluation of calibration factor to iri aashto mepdg model for asphalt overlays of rigid pavement on surabaya gresik toll road
url https://digilib.itb.ac.id/gdl/view/71434
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