scholarly journals Geopathic Stress: A Possible Cause for Pavement Distresses and Road Accidents

2020 ◽  
Vol 9 (6) ◽  
pp. 850-854
Keyword(s):  
Magnetic Field ◽  
Black Spot ◽  
Causative Factor ◽  
Condition Index ◽  
Road Accident ◽  
Magnetic Characteristics ◽  
Road Accidents ◽  
Pavement Condition ◽  
Pavement Condition Index ◽  
Pavement Distresses

India loses 3% of its GDP due to road accidents. Significance of Geopathic stress as a causative factor of road accidents has been studied by few researchers; however its effect on Pavement distresses and hence road accident is yet unexplored. The aim of this research is to determine the correlation between average number of accidents, Pavement Condition Index (PCI) values and Geopathic stress. Accident data was collected from Pune traffic department for 3 years period from 2015-16 to 2017-18. Based on the number of accidents during this period accident blackspots were found. On each black spot pavement distresses survey was carried out and its condition was analyzed by Indian Road Congress (IRC) 82:2015 code method. At these accident blackspots detection of geopathic stress was done by using 2 copper L-rods, lecher antenna. Intensity was measured in terms of electrical and magnetic field. Electrical field reading was measured using Esmog-spion and magnetic field reading was measured by magnetometer. Data was analyzed using Karl Pearson’s correlation coefficient and a linear regression model is developed for average number of road accidents (Ā) with Pavement Condition Index (PCI). Utility of the equation is for forecasting the number of fatal accidents at similar black spots based on their pavement distress condition. A further attempt is to investigate the effect of electric and magnetic characteristics of geopathic stress on road accidents.

Use of Time–Temperature Superposition Principle to Create Pavement Performance Master Curves and Relate Pavement Condition Index and International Roughness Index

2021 ◽  
pp. 036119812110049
Author(s):  
Jose R. Medina ◽  
Ali Zalghout ◽  
Akshay Gundla ◽  
Samuel Castro ◽  
Kamil Kaloush
Keyword(s):  
Superposition Principle ◽  
Condition Index ◽  
Pavement Performance ◽  
International Roughness Index ◽  
Pavement Condition ◽  
Roughness Index ◽  
Temperature Superposition ◽  
Pavement Condition Index ◽  
Pavement Distresses ◽  
Time Temperature Superposition Principle

The international roughness index (IRI) is one of the most popular indices to measure pavement roughness. State agencies and cities with plenty of resources often collect IRI and pavement distresses every year or every other year, but some others with fewer resources will collect this information every 3 to 5 years. Collecting IRI is much more affordable than collecting pavement distresses. With this in mind, the objective of this paper was to establish a relationship between IRI and pavement condition index (PCI) using pavement deterioration models for both PCI and IRI based on the concept of time–deterioration superposition similar to the time–temperature superposition principle, and then combine both models to establish this relationship. Additionally, this study was used to establish threshold limits for IRI measurements that can be used as a general reference for pavement condition. Data from the Long-Term Pavement Performance InfoPave was used to perform the analysis for three network samples from Arizona, California, and Wisconsin. This analysis only included flexible pavements. The results from Arizona, California, and Wisconsin showed a good relationship between IRI and PCI using the proposed approach with a coefficient of determination ranging from 0.71 to 0.85. Furthermore, the analysis showed that the change in IRI over time can be related to the change in PCI over time. The general thresholds developed in this study apply to the sections evaluated but the approach can be used to set limits for other networks.

VALIDITY OF GARBER MODEL IN PREDICTING PAVEMENT CONDITION INDEX OF FLEXIBLE PAVEMENT IN KERBALA CITY

2018 ◽  
Vol 09 (02) ◽  
pp. 139-151
Author(s):  
Hussein Ewadh ◽  
◽  
Raid Almuhanna ◽  
Saja Alasadi ◽  
◽  
...  
Keyword(s):  
Condition Index ◽  
Flexible Pavement ◽  
Pavement Condition ◽  
Pavement Condition Index

scholarly journals An Investigation of Geography and Climate Induced Distresses Patterns on Airfield Pavements at US Air Force Installations

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Lauren K. Sahagun ◽  
Moses Karakouzian ◽  
Alexander Paz ◽  
Hanns de la Fuente-Mella
Keyword(s):  
Air Force ◽  
Condition Index ◽  
Portland Cement Concrete ◽  
Climate Zones ◽  
Pavement Condition ◽  
Pavement Distress ◽  
Western Us ◽  
Us Air Force ◽  
Pavement Condition Index ◽  
Predominant Factor

This study investigated climate induced distresses patterns on airfield pavements at US Air Force installations. A literature review and surveys of Pavement Condition Index indicated that the predominant factor contributing to the development of pavement distress was climate. Results suggested that, within each type of pavement distress, a geographic pattern exists which is strongly correlated to conventional US climate zones. The US Air Force Roll-Up Database, housing over 50,000 records of pavement distress data, was distilled using a process designed to combine similar distresses while accounting for age and size of samples. The process reduced the data to a format that could be used to perform krig analysis and to develop pavement behavior models for runways built with asphalt cement (AC) and Portland cement concrete (PCC). Regression and krig analyses were conducted for each distress type to understand distress behavior among climate zones. Combined regression and krig analyses provided insight into the overall pavement behavior for AC and PCC runways and illustrated which climate zone was more susceptible to specific pavement distresses. Distress behavior tends to be more severe in the eastern US for AC and in the western US for PCC runway pavements, respectively.

scholarly journals Proposal and Implementation of a Heliport Pavement Management System: Technical and Economic Comparison of Maintenance Strategies

2021 ◽  
Vol 13 (16) ◽  
pp. 9201 ◽  
Author(s):  
Paola Di Mascio ◽  
Alessio Antonini ◽  
Piero Narciso ◽  
Antonio Greto ◽  
Marco Cipriani ◽  
...  
Keyword(s):  
Management System ◽  
Condition Index ◽  
Pavement Management ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Airport Pavement ◽  
Maintenance And Rehabilitation ◽  
Pavement Condition Index ◽  
Rotary Wing ◽  
Economic Comparison

Maintenance and rehabilitation (M&R) scheduling for airport pavement is supported by the scientific literature, while a specific tool for heliport pavements lacks. A heliport pavement management system (HPMS) allows the infrastructure manager to obtain benefits in technical and economic terms, as well as safety and efficiency, during the analyzed period. Structure and rationale of the APSM could be replicated and simplified to implement a HPMS because movements of rotary-wing aircrafts have less complexity than fixed-wing ones and have lower mechanical effects on the pavement. In this study, an innovative pavement condition index-based HPMS has been proposed and implemented to rigid and flexible surfaces of the airport of Vergiate (province of Varese, Italy), and two twenty-year M&R plans have been developed, where the results from reactive and proactive approaches have been compared to identify the best strategy in terms of costs and pavement level of service. The result obtained shows that although the loads and traffic of rotary-wing aircrafts are limited, the adoption of PMS is also necessary in the heliport environment.

scholarly journals Evaluación Superficial de Vías Urbanas empleando Vehículo Aéreo No Tripulado (VANT)

2019 ◽  
Vol 8 ◽  
pp. 23-32
Author(s):  
Jorge Omar Cruz Toribio ◽  
José Wilfredo Gutierrez Lazares
Keyword(s):  
Condition Index ◽  
Pavement Condition ◽  
Pavement Condition Index

Este trabajo de investigación presenta una metodología alternativa de gestión de pavimentos en vías urbanas, basado en la evaluación superficial del pavimento mediante el uso de imágenes georreferenciadas, obtenidas por un vehículo aéreo no tripulado (VANT) que se procesan generando un ortomosaico y un modelamiento en 3D de alta resolución, que se utiliza para realizar la evaluación superficial por el Método Pavement Condition Index (PCI). Finalmente, con los resultados obtenidos se logra reducir significativamente los tiempos de inspección y costos de evaluación optimizando los recursos de los gobiernos municipales. Además, permite a la entidad determinar los costos de mantenimiento o rehabilitación de tal manera de conservar en buen estado los pavimentos urbanos.  

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