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- 저자 : Partheeban, P. (검색결과 4 건)
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Urban road traffic noise on human exposure assessment using geospatial technology
Pachaivannan Partheeban,Krishnamurthy Karthik,Partheeban Navin Elamparithi,Krishnan Somasundaram,Baskaran Anuradha 대한환경공학회 2022 Environmental Engineering Research Vol.27 No.5
The sounds produced by humans, industries, transport and animals in the atmosphere that pose a threat to the health of humans or animals can be characterized as noise pollution. Adverse effects due to noise exposure can involve speech communication interference and declining learning skills of children. Highway traffic noise contributes to 80% of all noise. It has grown to a massive scale because of growth in population along the roads leading to a rapid change in land use and has evolved into a common reality in various Indian cities. The main objective of this work is to develop a road traffic noise prediction model using ArcGIS 10.3 for the busy corridors of Chennai. The collected data includes traffic volume, speed, and noise level in lateral and vertical directions. Noise levels were measured in 9 locations using a noise level meter. It is observed that the noise levels vary from 50 dB to 96 dB. It is found that the noise problem is severe in 18% of the area, and 6.3% of people are exposed to the traffic noise problem. The results obtained in this study show that the city is affected by severe noise pollution due to road traffic.
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An experimental and numerical approach in strength prediction of reclaimed rubber concrete
Williams, Kanmalai C.,Partheeban, P. Techno-Press 2018 Advances in concrete construction Vol.6 No.1
Utilization of waste tires may be considered as one of the solution to the problems faced by the local authorities in disposing them. Reclaimed rubber (RR) is being used in concrete for replacing conventional aggregates. This research work is focused on the strength prediction of reclaimed rubber concrete using a Genetic Algorithm (GA) for M40 grade of concrete and comparing it with experimental results. 1000 sets were taken and 100 iterations were run during training of GA models. A base study has been carried out in this research work partially replacing cement with three types of fillers such as Plaster of Paris (POP), Fly Ash (FA) and Silica Fume (SF). A total of 243 cubes were cast and tested for compression using a Universal Testing Machine. It was found that SF produced maximum strength in concrete and was used in the main study with reclaimed rubber. Tests were conducted on 81 cube samples with a combination of optimum SF percent and various proportions of RR replacing coarse aggregates in concrete mix. Compressive strength tests of concrete at 7, 14 and 28 days reveal that the maximum strength is obtained at 12 percent replacement of cement and 9 percent replacement of coarse aggregates respectively. Moreover the GA results were found to be in line with the experimental results obtained.
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Study on self-compacting polyester fiber reinforced concrete and strength prediction using ANN
Chella Gifta Christopher,Partheeban Pachaivannan,P. Navin Elamparithi Techno-Press 2023 Advances in concrete construction Vol.15 No.2
The characteristics of self-compacting concrete (SCC) made with fly ash and reinforced with polyester fibers were investigated in this research. Polyester fibers of 12 mm long and 15 micrometer diameters were utilized in M40 grade SCC mixtures at five different volume fractions 0.025%, 0.05%, 0.075%, 0.1%, 0.3% as a fiber reinforcement. To understand the influence of polyester fibers on passing ability, flowability, segregate resistance the J ring, L box, V funnel, slump flow and U box tests were performed. Polyester fibers have a direct influence, with a maximum of 0.075% polyester fibers producing excellent characteristics. ANN models were constructed using the testing data as inputs to anticipate the fresh and hardened characteristics as targeted outputs. The research revealed that R<sup>2</sup> values ranging from 0.900 to 0.997 appears to be a good correlation. The performance of ANN models and regression models for predicting the new characteristics of SCC is also evaluated.
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Chenrayan Senthil,Subramani Amutha,Thamodaran Partheeban,Mani Navaneethan,Kumaran Vediappan,Manickam Sasidharan,Chang Woo Lee 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.85 No.-
The evolution of ultrathin carbon layers self-doped by nitrogen assists the formation of α-Fe2O3 nanodotsembedded in N-rich carbon sheets by a surfactant-less self-assembly approach and they are reported asanode materials for lithium-ion batteries. The resulting Fe2O3 nanodots confine to size of 3–7 nm withevenly embedding in a two-dimensional N-rich carbon sheets. As an anode material, the Fe2O3ND/NCelectrode delivers a reversible capacity of 917 mA h g 1 at 0.1 C rate after 100 cycles and a good ratecapability and long term cyclability of 476 mA h g 1 at 3 C rate after 325 cycles. Detailed investigationthrough the differential capacity (dQ/dV) and galvanostatic charge/discharge techniques reveal anddistinguish the dual role of charge storage, i.e., faradaic and pseudocapacitive processes are involved inrealizing improved electrochemical performances. The contribution of the pseudocapacitive capacityfrom the electrochemical processes accounts for 216 mA h g 1, which are due to the Li storages in both thetiny size Fe2O3 and the defective sites of N-doped carbon sheets as portrayed through a model schematic. Altogether, the report paves way for accomplishing multiple avenues, such as in-situ nitrogen doping,preparation of nanodots and ultrathin N-doped carbon sheets for applications in energy conversion andstorage devices.
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