Results 11 to 20 of about 148 (127)
Developing a Prediction Model of Present Serviceability Index Using Fuzzy Inference System
Pavement maintenance and rehabilitation prioritization are conducted based on the accessibility of overall measures for evaluating the condition of each section of the pavement network. Regularly, the pavement condition of each section has been evaluated
Maher Mahmood, Nazhon Ismael Khaleel
doaj +1 more source
An Overview of Pavement Degradation Prediction Models
Pavement management systems (PMSs) have a primary role in determining pavement condition monitoring and maintenance strategies. Moreover, many researchers have focused on pavement condition evaluation tools, starting with data collection, followed by processing, analyzing, and ultimately reaching practical conclusions regarding pavement condition.
Amir Shtayat +4 more
wiley +1 more source
Temperature is known to be one of the most important factors affecting the design and performance of asphalt concrete pavement. The distresses of asphalt overlay are closely related to its temperature, particularly in Guangxi, a hot‐humid‐climate region in China.
Zuzhong Li +7 more
wiley +1 more source
The main objective of this paper was to investigate the relationship between PCI and IRI values of the rural road network. To this end, 6000 pavement sections of the rural road network in Iran were selected. Road surface images and roughness linear profiles were collected using an automated car to calculate PCI and IRI, respectively.
Sasan Adeli +5 more
wiley +1 more source
The construction control indices were commonly used to ensure the quality of asphalt layers in the construction process. However, the relationship between the construction control indices and the low‐temperature performance of asphalt layers is not clear.
Yulong Zhao +5 more
wiley +1 more source
Comparing laboratory dynamic modulus values with long term pavement performance predictions
This study compares laboratory dynamic modulus value of Superpave mixes with the dynamic modulus obtained from Long Term Pavement Performance (LTPP) database.
A. S. M. Asifur Rahman +1 more
doaj +1 more source
Performance Evaluation of JPCP with Changes of Pavement Mix Design Using Pavement Management Data
This study aimed to analyze long-term performance of JPCP (jointed plain concrete pavement) according to changes in standard mix design using evaluation of concrete properties based on Korea HPMS (highway pavement management system) and Korea LTPP (long ...
Han Jin Oh +4 more
doaj +1 more source
Predicting Rutting Development of Pavement with Flexible Overlay Using Artificial Neural Network
Pavement maintenance and repair is a crucial part of pavement management systems. Accurate and reliable pavement performance prediction is the prerequisite for making reasonable maintenance decisions and selecting suitable repair schemes.
Chunru Cheng +3 more
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As Warm-Mix Asphalt (WMA) moves into mainstream use, the lower WMA production temperature and injection of water in some WMA technologies have raised concerns on how it may affect short- and long-term field performance over the design life. Under the Long Term Pavement Performance (LTPP) Specific Pavement Study 10 (SPS-10) experiment initiative, the ...
Guangwei Yang +3 more
openaire +2 more sources
A Machine Learning Approach to Understand the Impact of Temperature and Rainfall Change on Concrete Pavement Performance Based on LTPP Data [PDF]
Climate change is one of the most concerning global issues and has the potential to influence every aspect of human life. Like different components of society, it can impose significant adverse impacts on pavement infrastructure.
Debo Brata Paul Argha, Md Ashik Ahmed
doaj +1 more source

