| Author | Ishtiaque, Ahmed |
| Call Number | AIT Thesis no. TE-96-03 |
| Subject(s) | Pavements--Bangladesh--Design and construction
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| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Civil Engineering |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. TE-96-03 |
| Abstract | Highway Design and Maintenance Standard Models (HDM)-III is the selected decision making tool for the pavement management system (PMS) of Bangladesh. The deterioration prediction sub-model is one of the major parts of it because accurate performance prediction is the pre-requisite for making cost effective decisions regarding maintenance and rehabilitation options. The selected tool HDM-III model was developed by the engineering section of World Bank. It was developed based on the Brazilian condition. Before application of this model to the highways of Bangladesh, it is suggested by the model developers to calibrate a particular factor known as deterioration factor for deterioration prediction model of each distress. In the beginning of this study, calibration of deterioration. factors have been performed for crack area progression and roughness progression models. An algorithm previously adopted by researchers has been used for calibration at first. The result has been compared with result obtained by a new method. The predictive accuracy of the partially calibrated roughness progression and crack area progression models were found to improve in comparison to the original models. Literature review shows that roughness progression is the important distress that has the most influence on vehicle operating cost. It is required to have high predictive accuracy of the roughness progression model. HDM-III roughness and crack area progression models have been re-calibrated for the local conditions of Bangladesh. It has been found that the re-calibrated models are capable of predicting incremental roughness and crack area progression with higher accuracy than the partially calibrated models. These models which are developed based on the original HDM-III incremental progression model is tedious and slow in computational speed. It computes progression year by year and output of one year analysis is used as the input data for the next year's prediction. As roughness is the most important distress for vehicle operating costs, a cumulative roughness progression model has been developed that is capable of predicting with faster computational speed maintaining reasonable accuracy. If the reduced predictive accuracy has a negligible impact on the decisions taken, then the improvement in the computational speed is highly advantageous. It is recommended to the Roads and Highways Department of Bangladesh to apply the calibrated models. It is extremely important to use the deterioration factors for the performance models. For accurate prediction of future performance the re-calibrated roughness and crack area models are required to use. For faster and fair accuracy prediction the cumulative roughness model is recommended to use with caution. After development of a systematic data base for the study area, it is required to calibrate the deterioration factors for rut depth progression, pothole progression and other distress models of HDM-III. It is recommended to develop own pavement performance prediction models specially for roughness progression for the highways of Bangladesh considering its local conditions. |
| Year | 1996 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. TE-96-03 |
| Type | Thesis |
| School | School of Civil Engineering |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Chen, Jian-Shiuh; |
| Examination Committee(s) | Yordphol Tanaboriboon;Morisugi, Risa; |
| Scholarship Donor(s) | Government of Japan; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1996 |