Browsing by Author "Sharma, M"

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item: Conference-Full-text
Assessment of present pavement condition using machine learning techniques
(Springer, 2021) Sharma, M; Kumar, P; Pasindu, HR; Bandara, S; Mampearachchi, WK; Fwa, TF
Quantification of present pavement condition in terms of an index term i.e., Pavement Condition Index (PCI) is one of the most important and primary steps while taking decision related to Maintenance and Rehabilitation of Pavements. PCI as proposed by ASTM D6433 rates pavement in seven conditions viz. Good, Satisfactory, Fair, Poor, Very Poor, Serious and Failed. Determination of rating condition of pavement using distress severity and extent turns out to be tedious process. Hence, present study investigates application machine learning techniques for assessment of present pavement condition. Three different algorithms i.e., Logistic Regression, Naïve Bayes and K-Nearest Neighbor have been tested in the present study using Long Term Pavement Performance database consisting of over 10,000 datapoints. The dataset was divided into 7:3 ratio for training and testing phase. Employed algorithms were tested based on accuracy, precision, recall and f-measure. Logistic Regression Classifier was found to have highest accuracy of 0.92 among three classifiers used in the study.
item: Conference-Full-text
Base Course Geocell Reinforcement Evaluation by comparing 3-D FEM and Laboratory Evaluation
(2016-01-06) Inti, S; Sharma, M; Tirado, C; Tandon, V
The shortage of high-grade base material and emphasis on using recycling base material has led to use of geocells reinforced bases in the past decade. The geocells provide reinforcement by confining base material and have been used for increasing bearing capacity of supporting soil, reducing settlements, using inferior quality material, reducing thickness of base layers, etc. It can be an economical option in rehabilitation of pavements and construction of low volume roads. Various studies have been conducted to evaluate the behaviour of geocell reinforced layers using expensive and time intensive laboratory tests. The working principle of geocell reinforced layers using various pavement materials, loading types, geocell types etc., can be comprehended quickly and economically using Finite Element Modelling (FEM). In this study, various significant FEM model parameters like constitutive material models and contact models were examined. The results were compared with the laboratory test results and specific contact and constitutive material models that predict behaviour similar to the laboratory results were recommended.
item: Conference-Full-text
Functional condition evaluation of airfield pavements using automated road survey system—a case study of a small sized airport
(Springer, 2021) Kumar, P; Sharma, M; Pasindu, HR; Bandara, S; Mampearachchi, WK; Fwa, TF
Airports are vital national resources. Airfield Pavements within an airport represents a large capital investment in infrastructural development made by a country. Timely and appropriate maintenance and rehabilitation of such in-service facilities are essential to provide an all-weather surface for safe and regular operations of the aircraft. Pavement maintenance is done based on functional and structural pavement condition evaluation. This paper presents a case study dealing with functional evaluation of airfield pavements of a small sized airport in India. The considered airport consists of two runway, seven link taxiways, three apron areas and an isolation bay with different surface types. Present paper reports the methodology adopted for the functional condition evaluation of the airfield pavements with help of Automated Road Survey System. Further, the evaluated pavement condition was quantified in terms of Pavement Condition Index (PCI) as per the ASTM D5340 with help of PAVER and GIS based software. GIS was used for preparing inventory database and basemaps for the concerned pavementswhich were then used in PAVER software for determining the PCI. The airfield pavement network within the airport was divided into a four-level hierarchy consisting of the network, branch, section and sample. The obtained PCI rating shows that the overall condition of the airfield pavements within the considered airport is satisfactory to good, however some of the areas have distresses that needs to be repaired by localized maintenance.