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Arijit Das,Manob Das,Rejaul Houqe 대한공간정보학회 2020 Spatial Information Research Vol.28 No.2
This paper mainly deals with the pattern of Quality of Living (QOL) in terms of availability of various basic services and amenities in Dandakaranya region of India. To measure state of living in this region, a Composite Index (CI) was developed based on census data 2011. In order to assess clear cut scenario of district level regional disparity, different indices such as Human Capital Index (HCI), Financial Capital Index (FCI), Physical Capital Index (PCI) and Housing Index (HI) have been used and districts were categorized on the basis of Composite Score Value. The results of the research study show that there is a huge inter-state and inter-districts disparity in terms of basic services and amenities in Dankaranya region. The districts falling in Andrapradesh shows better conditions in terms of basic services and amenities as compared to the districts located in Chhatishgarh and Odisha respectively. In districts like Sukma (Chhatishgarh), Koraput (Odisha), Bijapur (Madhyapradesh), there are least availability of basic services and amenities. The study suggests that the backward districts need an urgent improvement in most of the indicators to enhance the better living condition of the households. This study may also assist the planners and policy makers to implement effective measures to upgrade quality of living.
Arijit Das,Chetan K. Hirwani,Subrata K. Panda,Umut Topal,Tayfun Dede 국제구조공학회 2018 Steel and Composite Structures, An International J Vol.29 No.6
This article derived a hybrid coupling technique using the higher-order displacement polynomial and three soft computing techniques (teaching learning-based optimization, particle swarm optimization, and artificial bee colony) to predict the optimal stacking sequence of the layered structure and the corresponding frequency values. The higher-order displacement kinematics is adopted for the mathematical model derivation considering the necessary stress and stain continuity and the elimination of shear correction factor. A nine noded isoparametric Lagrangian element (eighty-one degrees of freedom at each node) is engaged for the discretisation and the desired model equation derived via the classical Hamilton.s principle. Subsequently, three soft computing techniques are employed to predict the maximum natural frequency values corresponding to their optimum layer sequences via a suitable home-made computer code. The finite element convergence rate including the optimal solution stability is established through the iterative solutions. Further, the predicted optimal stacking sequence including the accuracy of the frequency values are verified with adequate comparison studies. Lastly, the derived hybrid models are explored further to by solving different numerical examples for the combined structural parameters (length to width ratio, length to thickness ratio and orthotropicity on frequency and layer-sequence) and the implicit behavior discuss in details.
Sasanka Ghosh,Arijit Das 대한공간정보학회 2017 Spatial Information Research Vol.25 No.6
Large Indian urban agglomerations like Mumbai, Delhi, Kolkata and Chennai are expanding rapidly beyond their territorial limits. But census of India, the only source of official data related to urbanization in India is not capable of capturing rapid urban dynamic due to some loopholes of Census of India. DMSP/OLS night time image become an alternative source of data for urban growth monitoring using its capability of capturing emitted lights from different sources. A threshold-based approach is applied to eliminate non-urban light capturing pixels. Based on the threshold values of 31 urban areas of four megacities of India for 1992, 2001, 2011are extracted. Threshold-based DMSP/OLS night time image extracted urban areas of four megacities shows a rapid increase of urban areas in an around the megacities. Chennai and Mumbai show a declining trend from 1992–2001 to 2001–2011 time span whereas Delhi and Kolkata shows an increasing trend of urban areas from the same time period. Out of the four Indian megacities, Chennai shows the fastest growing megacities for both of this two time span. It is also found that Chennai and Delhi shows an urban area increase abound 60% in the 2001–2011 time span. Analysis of this study identifies the applicability of threshold-based approach for measuring the rapid urban growth of a big city using DMSP/OLS night time image which opens a new avenue for the urban researchers.
Influence of Ageing on the Intergranular Corrosion of an Al–Mg–Si Alloy
Aluru Praveen Sekhar,Arijit Samaddar,Ashim Bikash Mandal,Debdulal Das 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.12
This report investigates the influence of ageing on the susceptibility to intergranular corrosion (IGC) of an Al–Mg–Si alloy. The selected AA6063 Al-alloy has been exposed to ageing treatments at a predetermine temperature of 423 K for durationsof 1 to 168 h to achieve the wide range of ageing states covering under- to peak- to over-aged. The ageing behaviour of theselected alloy has been determined based on the results of hardness and tensile properties. The susceptibility to IGC has beenevaluated following the British standard (BS ISO-11846) method B and assessed based on the average and maximum corrosiondepths apart from in-depth surface and sub-surface characterizations of corroded specimens. It has been observed thatthe depths of corrosion increase monotonically with increase in ageing time. With progress of artificial ageing, the dominantmode of corrosion gradually changes in the order of minor pitting, moderate pitting, pitting plus localized IGC, localizedIGC and uniform IGC. The phenomenon of preferential dissolution of Mg from the β″ (Mg5Si6) and β (Mg2Si) precipitatesas well as the existence of Fe-rich intermetallic particles at the grain boundaries cause the pitting and intergranular corrosionbecause of the formation of local galvanic cells between the lower corrosion potential of Mg-depleted precipitates orprecipitate free zones and to the adjacent anodic grain boundary precipitates.