Developing Correlation Between Structural Parameter and Functional Parameter for Pavement Evaluation

سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 65

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شناسه ملی سند علمی:

JR_IJTE-11-4_005

تاریخ نمایه سازی: 23 خرداد 1403

چکیده مقاله:

Pavement functional and structural parameters are important for pavement evaluation. This research aims at developing a prediction model to predict the deflection of flexible pavements using International Roughness Index (IRI) values to optimize maintenance activities without conducting deflection testing. For this purpose, Multan-Lodhran south bound section, a part of N-۵ is selected as study area. It starts from km ۹۲۹+۰۰۰ and ends at km ۸۶۷+۰۰۰, having a length of ۶۲ km, dual carriageway having two lanes each side. The data used for this study had been collected from the database of Road Asset Management Division (RAMD), National Highway Authority, Islamabad, Pakistan on basis of data availability and reliability. Collected data includes International Roughness Index (IRI) values measured by profilometer and deflection data measured by Falling Weight Deflectometer (FWD). Existing pavement structure data was collected from NHA Regional office. Linear and Logarithmic Regression analysis methodology using SPSS Statistical Analysis Software was used to develop correlation between pavement functional and structural parameters for flexible pavement. Also, Microsoft Excel was used for data analysis and validation purpose. The developed regression model showed significant relationship between deflection and IRI. Additionally, AASHTO Back calculation method was also used for determining the effective structure number (SNeff) using deflection results from FWD to determine correlation of IRI with another structural parameter. Considering this, a significant correlation was found between SNeff and IRI. However, it was found that other parameters i.e., subgrade resilient modulus (Mr) and pavement elastic modulous (Ep) did not show any significant relation. The result showed that if pavement IRI values are known, deflection and SNeff can be predicted providing feasibility for transportation agencies that do not have the capabilities as deflection tests are costly and require sophistication for its data handling.

کلیدواژه ها:

Flexible Pavement ، International Roughness Index (IRI) ، Deflection ، Falling Weight Deflectometer (FWD) ، Profilometer ، Correlatio

نویسندگان

Ayesha Ahmad

Department of Transportation Engineering and Management, Faculty of Civil Engineering, University of Engineering and Technology, Lahore, Pakistan

Zia Rehman

Department of Transportation Engineering and Management, Faculty of Civil Engineering, University of Engineering and Technology, Lahore, Pakistan

Ammad Khan

Department of Transportation Engineering and Management, Faculty of Civil Engineering, University of Engineering and Technology, Lahore, Pakistan

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