Conference Papers

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    Experimental Analysis of Interface Shear Fatigue Performance of Ultra-Thin Whitetopping
    (American Society of Civil Engineers (ASCE), 2017) Jayakesh, K.; Suresha, S.N.
    The good quality of the bond between the substrate and the overlay is a key factor for providing composite or monolithic action in ultra-thin whitetopping (UTW) by shifting the neutral axis from middle of the UTW slab to the bottom of UTW slab. This will reduce the bending stresses, however, shear stress will remain maximum at the interface. The shear stress at the interface will increase with the increase in repeated application of traffic load which creates an accumulation of strain at the interface resulting in failure of the monolithic action and finally affects the long-term performance of UTW. In this study, a strategic test apparatus and procedure are used to evaluate the decrease in bond strength caused by cyclic loading with respect to different interface treatment. The direct shear test was performed at 7 and 28 days and parameters like interface bond strength, tangential stiffness (k-modulus) and a number of cycles at failure for different stress ratios were collected through the experiments of different interface conditions. Through comparison of test results of different interface treatment with different loading rate and interface shear fatigue, it proved that this test method and the device can evaluate interface bond strength of UTW under static and repeated loading conditions effectively. © 2017 American Society of Civil Engineers (ASCE). All rights reserved.
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    Assessment of different long-term aging effect on FAM mixtures
    (CRC Press/Balkema, 2020) Ningappa, A.; Suresha, S.N.
    Aging is considered as one of the major factors which increase stiffness and brittleness to asphaltic mixture. This study aimed at evaluating the effect of different aging protocol on viscoelastic and fatigue cracking of Fine Aggregate Matrix (FAM) mixtures. To evaluate this, six different long-term aging levels were considered. LinearVisco-Elastic (LVE) limit of each FAMmixtures was initially determined by conducting strain sweep test.Viscoelastic properties (|G∗| and δ) and master curve shape parameters of FAMmixtures were further determined from temperature and frequency sweep test. Fatigue cracking of FAMmixtures was evaluated using G-R parameter. Irrespective of the aging level applied to the FAM specimen, LVE limit was found almost constant for all FAMmixtures.Viscoelastic properties for FAMspecimen aged for 24 hrs at 135°C, and 12 days at 95°C aged FAM mixtures showed similar results from the master curve plots. Despite of the similar viscoelastic properties, the FAM mixtures with 12 days at 95?C and 24 hrs at 135°C were not shown similar crack potential. © 2021 Taylor & Francis Group, London.
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    Influence of Coarse Aggregate Size and Type on the Design Thickness of Rigid Pavements for Indian Conditions
    (Springer Science and Business Media Deutschland GmbH, 2022) Bellary, A.; Suresha, S.N.
    The pavement quality concrete (PQC) is used in the construction of rigid pavements, commonly called concrete pavements. The coarse aggregates (CA) are the major constituents of the PQC mix, which influence the strength of the PQC mix. The strength of the PQC mix used in the construction of rigid pavements is one of the major factors that govern the design thickness of these pavements. In this study, an attempt has been made to characterize the influence of CA size and type on strength characteristics of the PQC mix experimentally. The crushed basalt and granitic CA are used in the preparation of the PQC mix. Also, three different nominal maximum aggregate size (NMAS) 19, 26.5 and 31.5 mm, are selected based on the IRC 44: 2017 guidelines. The experimental results are given as input in EverFE 2.24 software for determining the safe design thickness of rigid pavement over the design period. It is concluded that the safe design thickness of the PQC mix prepared using basaltic CA is comparatively lower than the PQC mix prepared using granitic CA for the same NMAS. Also, the safe design thickness of concrete pavement increased with an increase in NMAS irrespective of CA type. Thus, it is suggested to use stronger CA with lower NMAS based on the availability at the site. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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    Characterization of asphalt binder using tackiness properties
    (CRC Press/Balkema, 2022) Suresha, S.N.; Hemanth Kumar, V.
    Tack measurement is commonly used for the selection of various types of emulsions or tack coat materials during the construction of HMA overlays. Similarly, for uniform coating around the aggregate surface, the tackiness of asphalt binder also plays a vital role and this helps during the selection of modified and unmodified asphalt binder in HMA production. Therefore, the temperature used during HMA production affects the tackiness of the asphalt binder. The objective of this study was to measure the tack properties of conventional and modified asphalt binders, which are subjected to different aging conditions. To identify the tackiness of the asphalt binder, the dynamic shear rheometer (DSR) was used to perform pull-off testing as per ASTM D8189. The energy required for the adhesive/separation behaviour of asphalt binders from the parallel plates was compared and quantified. A significant difference in adhesive forces or normal force (Fn) at different test temperatures was observed. The work/energy required to determine the tackiness of asphalt binder materials with reference to the distance/gap is well related to testing temperature and aging temperatures. Hence, to follow quality control and quality assurance during the selection of binders for the road construction, evaluation of tackiness is also necessary. © 2022 the Author(s).
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    Big data in roads and pavements: Insights from a bibliometric study and a critical review of recent publications
    (CRC Press/Balkema, 2022) Bhat, S.; Suresha, S.N.
    This article is intended to present the quantitative study of scientific research publications in the recent decade on the application of big data in the area of road transport and pavement engineering. The present study was conducted in two phases. In the first phase, 5036 Scopus indexed research documents such as research articles, review articles, conference papers, books, and book chapters published during 2010 and 2021 were referred. The study presents the geographical origin of the research documents; list of journals in which articles frequently featured; trends in the annual publication of research articles in journals, citations, and average citations per documents; and the frequency distribution of articles with different range of citations. In the second phase, nearly 100 articles that had cited the research article on the application of big data tools for the pavement distress detection were examined for the various types of machine learning, deep learning algorithms. © 2022 the Author(s).
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    Automated Parking Lot Management System Using Number Plate Recognition
    (Institute of Electrical and Electronics Engineers Inc., 2025) Nagar, R.; Suresha, S.N.; Bairwa, B.
    In modern era, due to the rapid growth of vehicles had led to a significant increase in parking spaces in areas such as work spaces, business parks etc. Parking management has become a tenacious task to carry out. Wherein, this research paper proposes an Automated parking lot management system using a state-of-the art technology, which is Number Plate Recognition. This Automated parking lot management system using number plate recognition utilizes a Scale Invariant Feature Transform (SIFT) algorithm which aims in providing accurate detection and recognition of the vehicle's number plate. This SIFT algorithm is implemented using MATLAB Simulink. A collection of 136 vehicles dataset is taken to validate and assist system's performance. This system identifies and matches to the vehicle's number plate present in the dataset by using the app camera. When a match is detected, permission is granted for the vehicle to access the parking facility. In the absence of a match, the system impedes the vehicle and prompts the owner to settle the parking fee. The primary aim of this mechanism is to oversee and regulate the ingress and egress of vehicles in the parking area through the utilization of Number Plate Recognition technology. © 2025 IEEE.
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    Identification of Road Traffic Crash Blackspots on National and State Highways in Trivandrum, India Using Kernel Density Estimation
    (Springer Science and Business Media Deutschland GmbH, 2025) Anil, A.B.; Sam, S.E.; Suresha, S.N.
    The paper presents a comprehensive study on road traffic accidents (RTAs) in the Trivandrum district of Kerala, India, emphasizing the high incidence of fatalities and injuries, particularly on National and State Highways. The study utilizes Geographic Information System (GIS) technology to analyze spatial and temporal patterns of RTAs, employing Kernel Density Estimation (KDE) to identify accident as Blackspots, in the Thiruvananthapuram district. The study spans three years, from 2020 to 2022. It includes detailed crash data, including collision types, accident severity, weather conditions, road types, and junctions, revealing insights such as the prevalence of head-to-head collisions and the influence on accident rates. The Severity Index (SI) is introduced as a metric to quantify accident gravity. The research aims to identify blackspots for improving safety measures, ultimately contributing to the well-being of road users in Kerala. The findings underscore the urgent need for targeted road safety measures and infrastructure improvements to mitigate the risk of RTAs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.