The pavement is one of the most important components infrastructures of the transport, and so, that has a major and direct effect on the general levels of transportation safety, as well to providing transport services with high quality for movement of people and goods. It is difficult to keep the road on same current specifications that was it since the beginning of the opening of traffic. This requires periodic and preventive maintenance. A methodology was suggested to inspect the current pavement condition; this study focuses on concrete pavements only. A manual inspection has been done according to ASTM D 6433. Depending on two methods; the current pavement condition was calculated by manual calculations and Micro PAVER software method 5.2. The study area is divided into two sides and different sections. Each side or section is divided into sample units. The inspection includes the assessment of the distress type and severity which is assessed by visual inspection for each sample unit and the quantity measurement of each distress. Also, Arc Map 9.3 has been employed in this study for the selected roads in the study area. Therefore, it is necessary to establish or implement an integrated maintenance system for each road in the presented study area, in addition to the establishment of such a system in the future to include all the main and important roads within the province of Baghdad using the GIS program). In this study, two major roads were surveyed; the pavement type is rigid. One of these roads is Salah Al-Deen Road with both sides and the other road is one segment of the Baghdad International Airport Road. The length for each side and section for these roads are 8Km, 7.25Km, respectively. The total length of study area is 23.25 km. Results indicated that the pavement condition index PCI for the two roads mentioned above using manual calculations were as follows; 64.3 and 61.5 for side1 & 2 of Salah Al-Deen Road, respectively, and 80.9 for the segment of Baghdad International Airport Road. While using Micro PAVER software the results were as follows; 62 and 61 for side 1& 2 of Salah Al-Deen Road, respectively, and 80 for segment of Baghdad International Airport Road. The priority of maintenance for the selected roads in the study were as follows; the first road to be maintenance is side 2 of Salah Al-Deen Road, then side 1 for the same road and finally the Baghdad International Airport Road segment.
The major objective of this research is to assess the distress noise generated due to tire-pavement surface interaction for different modes and to evolve a noise prediction model for any manner taking into consideration the different factors impacting the distress noise generation. Seven flexible and four rigid pavement roads were chosen for the calculation of the noise in Baghdad city. Tire-pavement interaction noise was calculated using Onboard Sound Intensity (OBSI) Method by restricting the noise generated from the vehicle exhaust and the engine systems. Prediction models were developed for assessing tire pavement noise from vehicle speed, pavement age, wheel load, mean texture depth (MTD) and pavement distresses. Four statistical models were obtained from this research to assess the distress noise generated due to tire-pavement surface interaction using linear regression stepwise method. These models showed the effect of different types of distresses in addition to the factors that have been taken into consideration on tire pavement noise. Vehicle speed was the greatest considerable variable influencing the noise generated due to tire-pavement surface interaction. Some distresses and factors have been excluded from the models due to their poor relationship with tire-pavement noise. These models have been categorized based on the type of pavement surface (flexible or rigid) and the presence or absence of pavement distresses. The predicted statistical models were verified with calculation, by comparing the data estimated by the models and data form field tests. Therefore, it can be used as a method of detecting distresses rather than visual inspection.
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