Prediction of Pavement Deterioration Based on FWD Results

2008 ◽  
pp. 95-95-15 ◽  
Author(s):  
JW Maina ◽  
H Yokota ◽  
DA Mfinanga ◽  
S Masuda
Keyword(s):  
Pavement Deterioration

Maintenance of HPC pavement deterioration using GPR

2021 ◽  
pp. 764-764
Author(s):  
S.W. Hong ◽  
S.E. Noh ◽  
C.W. Lee ◽  
D.H. Kim ◽  
S.H. Park
Keyword(s):  
Pavement Deterioration

scholarly journals Impact on pavement deterioration due to overload vehicle regulation in Brazil

2020 ◽  
Vol 45 ◽  
pp. 842-849 ◽  
Author(s):  
Celso Luiz dos Santos Romeiro Júnior ◽  
Lélio Antônio Teixeira Brito ◽  
Lucas Fraporti Heller ◽  
Gabriel Grassioli Schreinert ◽  
Washington Peres Núñez ◽  
...  
Keyword(s):  
Pavement Deterioration

scholarly journals Pavement Deterioration Rate and Maintenance Cost for Low-Volume Roads

2020 ◽  
Vol 312 ◽  
pp. 06002
Author(s):  
Turki I Al-Suleiman ◽  
Subhi M Bazlamit ◽  
Mahmoud Azzama ◽  
Hesham S Ahmad
Keyword(s):  
Surface Defects ◽  
Condition Index ◽  
Maintenance Cost ◽  
Pavement Condition ◽  
Pavement Maintenance ◽  
Deterioration Rate ◽  
Pavement Deterioration ◽  
Pavement Condition Index ◽  
Traffic Volumes ◽  
Over Time

Allocated budgets for maintenance of road networks are normally limited. Therefore, not all roads receive the required attention they deserve in a timely manner. These roads are left to deteriorate until the next maintenance round. The cost associated with delayed maintenance is significantly excessive. A Pavement Maintenance Management System (PMMS) can be a useful tool for evaluation, prioritization of Maintenance and Rehabilitation (M&R) projects, and determination of funding requirements and allocations. The pavement condition is normally indexed using a parameter called Pavement Condition Index (PCI) which represents an overall assessment of surface defects by type, severity and extent. Periodic collections of PCI over time for different sections within the roadway network provide an approach to monitor changes in pavement serviceability over time and can produce useful data to predict and evaluate required maintenance solutions and their associated cost. The researchers intend to use available data collected over the span of a year and a half on sections within the roadway network at the campus of Al-Zaytoonah University of Jordan (ZUJ) to study the relation between the maintenance cost and the pavement deterioration rate. This study may incorporate variables such as pavement age, traffic volumes, maintenance history and pavement condition assessment results. The available records of PCI will be analyzed and the findings will be clearly presented. The practical inclusion of the findings within the current PMMS used at the university will also be detailed.

A semi-Markov formulation of the pavement maintenance optimization problem

1993 ◽  
Vol 20 (3) ◽  
pp. 436-447 ◽  
Author(s):  
Dale M. Nesbit ◽  
Gordon A. Sparks ◽  
Russell D. Neudorf
Keyword(s):  
Pavement Management ◽  
Maintenance Optimization ◽  
Infrastructure Management ◽  
Pavement Maintenance ◽  
Pavement Deterioration ◽  
Maintenance And Rehabilitation ◽  
Computationally Intensive ◽  
Asset Depreciation ◽  
Special Case ◽  
Project Level

The problem of determining optimal pavement maintenance and rehabilitation strategies is a special case of a more general problem termed the asset depreciation problem. Perhaps the most general formulation and solution of the asset depreciation problem is the semi-Markov formulation. This paper illustrates how the semi-Markov formulation and solution of the general asset depreciation problem can be applied to pavements. The semi-Markov formulation, like the Markov formulation, characterizes pavement deterioration probabilistically and represents human intervention (maintenance and rehabilitation) as slowing or modifying the basic probabilities of deterioration. The Markov formulation, first implemented for the state of Arizona, is shown to be a special case of the more general, less computationally intensive semi-Markov formulation. The application of the semi-Markov formulation is illustrated at the project level for a heavy-duty pavement in Manitoba. Key words: asset depreciation, infrastructure management, pavement management, probabilistic modelling, Markov, semi-Markov, maintenance optimization, project level.

Prediction of Flexible Pavement Deterioration in Relation to Climate Change Using Fuzzy Logic

2017 ◽  
Vol 23 (4) ◽  
pp. 04017008 ◽  
Author(s):  
Hoyoung Jeong ◽  
Hongjo Kim ◽  
Kyeongseok Kim ◽  
Hyoungkwan Kim
Keyword(s):  
Climate Change ◽  
Fuzzy Logic ◽  
Flexible Pavement ◽  
Pavement Deterioration
Sign in / Sign up

Export Citation Format

Share Document