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Deterioration models for prediction of remaining useful life of timber and concrete bridges:A review

Journal of Traffic and Transportation Engineering(English Edition) 2020年第2期7卷 152-173页

作者： Ishwarya Srikanth madasamy arockiasamy Department of Civil Environmental and Geomatics EngineeringFlorida Atlantic UniversityBoca RatonFL 33431USA

Bridge deterioration models are used for prioritization and maintenance of *** models can be broadly classified as deterministic and stochastic *** are mechanistic models(or physical models)as well as Artificial Intelligence(AI)-based models,each of which can be stochastic or deterministic in *** though there are several existing deterioration models,state-based stochastic Markov chain-based model is widely employed in bridge management *** paper presents a critical review of different bridge deterioration models highlighting the advantages and limitations of each *** models are applied to some case studies of timber superstructure and concrete bridge *** are illustrated for arriving at bridge deterioration models using deterministic,stochastic and Artificial Neural Network(ANN)-based models based on National Bridge Inventory(NBI)*** first example is based on deterministic model and the second on stochastic *** deterministic model uses the NBI records for the years 1992-2012,while the stochastic model uses the NBI records for one year(2011-2012).The stochastic model is state-based Markov chain model developed using Transition Probability Matrix(TPM)obtained by Percentage Prediction Method(PPM).The two deterioration models(i.e.,deterministic and stochastic models)are applied to timber highway bridge superstructure using NBI condition data for bridges in Florida,Georgia,South Carolina and North *** illustrated examples show that the deterministic model provides higher accuracy in the predicted condition value than the stochastic Markov chain-based *** the model is developed based on average of transition probabilities considering the data for the period 1992 to 2012,the prediction accuracy of stochastic model will *** data filtering of condition records aids in improving the accuracy of the deterministic *** third example illustrates the ANN-based deterioration model for r

关键词： Bridge engineering Timber and concrete bridge Deterioration model Markov chain Artificial Neural Network

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A new approach for deposition of silver film from AgCl through successive ionic layer adsorption and reaction technique

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Journal of Central South University 2017年第12期24卷 2793-2798页

作者： Johnson Henry arockiasamy Ajaypraveenkumar Ganesan Sivakumar Kannusamy Mohanraj Department of Physics Manonmaniam Sundaranar University Tirunelveli-627 012 Tamil Nadu India CISL Department of Physics Annamalai University Annamalai nagar-608 002 Tamil Nadu India

An attempt was made to deposit thin film of silver onto the glass substrate by using Ag Cl precursor, instead of conventional precursor AgNO_3 with vitamin C by inexpensive and convenient successive ionic layer adsorption and reaction(SILAR) method. The deposited silver thin film was characterized by X-ray diffraction(XRD) analysis, scanning electron microscope(SEM), UV-visible and electrical I-V study. The diffraction study showed FCC structure of metallic silver in good agreement with the standard values of JCPDS(04–0783). SEM reveals flower like nano particles produced on the substrate. The surface plasmon resonance(SPR) peak in the UV-visible spectrum shows maximum absorption at 350 nm. The film shows an ohmic behavior and its electrical resistivity was found ~103 ?·cm at room temperature.

关键词： thin films metals materials characterization sol-gel optical properties silver

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Characterisation, Luminescence and Antibacterial Properties of Stable AgNPs Synthesised from AgCl by Precipitation Method

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Journal of Materials Science & Technology 2015年第11期31卷 1125-1132页

作者： arockiasamy Ajaypraveenkumar Johnson Henry Kannusamy Mohanraj Ganesan Sivakumar Sankaran Umamaheswari Department of Physics Manonmaniam Sundaranar University Centralised Instrumentation and Service Laboratory Department of Physics Annamalai University Department of Biotechnology Manonmaniam Sundaranar University

Silver nanoparticles （AgNPs） were synthesised using equimolar concentrations of redtlcing agent vitamin C and AgCl precursor by simple precipitation method. The synthesised AgNPs were characterised by X-ray diffraction （XRD）, UV-Visible, photoluminescence and field emission scanning electron microscopy （FESEM） analysis. The formation of AgNPs was confirmed by the typical surface plasmon resonance band at 426 nm. The presence of elemental silver and pure crystalline face centre cubic （fcc） structure was confirmed by energy dispersive X-ray analysis and XRD analysis, respectively. The FESEM images showed the formation of spherical AgNPs for lower concentrations （0.1 and 0.3 mol/L） while spike and flower shaped particles were formed for higher concentration. Photoluminescence characteristic band was observed with no shift at 390 nm indicating the stable nature of AgNPs. The antibacterial property of the AgNPs was tested against gram negative bacteria Pseudomonas aeruginosa by using Cissus quadrangular as a control and the result showed that vitamin C reduced AgNPs have good antibacterial activity.

关键词： Silver nanoparticles Precipitation Rietveld refinement Photoluminescence spectroscopy Optical properties

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Flat Absorber Phosphorous Black Nickel Coatings for Space Applications

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Journal of Materials Science & Technology 2012年第2期28卷 118-124页

作者： V.Maria Shalini P.arockiasamy R.Uma Rani A.K.Sharma Thermal Systems Group ISRO Satellite CentreVimanapura PostBangalore-560 017India

A new process of flat absorber black nickel alloy coating tion from a bath containing nickel, zinc and ammonium was developed on stainless steel by electrodeposi- sulphates; thiocyanate and sodium hypophosphite for space applications. Coating process was optimized by investigating the effects of plating parameters, viz concentration of bath constituents, current density, temperature, pH and plating time on the optical properties of the black deposits. Energy dispersive X-ray spectroscopy showed the inclusion of about 6% phosphorous in the coating. The scanning electron microscopy studies revealed the amorphous nature of the coating. The corrosion resistance of the coatings was evaluated by the electrochemical impedance spectroscopy （EIS） and linear polarization （LP） techniques. The results revealed that, phosphorous addition confers better corro- sion resistance in comparison to conventional black nickel coatings. The black nickel coating obtained from hypophosphite bath provides high solar absorptance （αs） and infrared emittance （εIR） of the order of 0.93. Environmental stability to space applications was established by the humidity and thermal cycling tests.

关键词： Phosphorous black nickel alloy Electrochemical impedance spectroscopy Linear polarization Solar absorptance Infrared emittance

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Deep Learning for Wind Speed Forecasting Using Bi-LSTM with Selected Features

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Intelligent Automation & Soft Computing 2023年第3期35卷 3829-3844页

作者： Siva Sankari Subbiah Senthil Kumar Paramasivan Karmel arockiasamy Saminathan Senthivel Muthamilselvan Thangavel Department of Computer Science and Engineering Sreenivasa Institute of Technology and Management StudiesChittoor517127India School of Information Technology&Engineering Vellore Institute of TechnologyVellore632014India School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India School of Computing College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India

Wind speed forecasting is important for wind energy *** the modern era,the increase in energy demand can be managed effectively by fore-casting the wind speed *** main objective of this research is to improve the performance of wind speed forecasting by handling uncertainty,the curse of dimensionality,overﬁtting and non-linearity *** curse of dimensionality and overﬁtting issues are handled by using Boruta feature *** uncertainty and the non-linearity issues are addressed by using the deep learning based Bi-directional Long Short Term Memory(Bi-LSTM).In this paper,Bi-LSTM with Boruta feature selection named BFS-Bi-LSTM is proposed to improve the performance of wind speed *** model identiﬁes relevant features for wind speed forecasting from the meteorological features using Boruta wrapper feature selection(BFS).Followed by Bi-LSTM predicts the wind speed by considering the wind speed from the past and future time *** proposed BFS-Bi-LSTM model is compared against Multilayer perceptron(MLP),MLP with Boruta(BFS-MLP),Long Short Term Memory(LSTM),LSTM with Boruta(BFS-LSTM)and Bi-LSTM in terms of Root Mean Square Error(RMSE),Mean Absolute Error(MAE),Mean Square Error(MSE)and *** BFS-Bi-LSTM surpassed other models by producing RMSE of 0.784,MAE of 0.530,MSE of 0.615 and R2 of *** experimental result shows that the BFS-Bi-LSTM produced better forecasting results compared to others.

关键词： Bi-directional long short term memory boruta feature selection deep learning machine learning wind speed forecasting

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Inelastic Nonlinear Pushover Analysis of Fixed Jacket-Type Offshore Platform with Different Bracing Systems Considering Soil-Structure Interaction

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Journal of Shipping and Ocean Engineering 2016年第4期6卷 241-254页

作者： S. Ishwarya M. arockiasamy R. Senthil Division of Structural Engineering Department of Civil Engineering Anna University Chennai India Department of Civil Environmental and Geomatics Engineering Florida Atlantic University U.S.A.

In this study, inelastic nonlinear pushover analysis is performed on a 3-D model of a jacket-type offshore platform for the North Sea conditions. The structure＇ is modelled, analyzed and designed using finite element software SACS （structural analysis computer system）. The behavior of jackets with different bracing systems under pushover analysis is examined. Further, by varying the leg batter values of the platform, weight optimization is carried-out. Soil-structure interaction effect is considered in the analyses and the results are compared with the hypothetical fixed-support end condition. Static and dynamic pushover analyses are performed by using wave and seismic loads respectively. From the analyses, it is found that the optimum leg batter varies between 15 to 16 and 2% of weight saving is achieved. Moreover, it has been observed that the type of bracing does not play a major role in the seismic design of jacket platform considering the soil-structure interaction.

关键词： Fixed offshore jacket platform pushover analysis seismic analysis leg batter optimization SACS.

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Kinetics and Vapor Pressure Studies of bis(N-alkyl-2-hydroxonapthaldimine)nickel (II) (N-R = methyl to pentyl) Complexes

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American Journal of Analytical Chemistry 2015年第2期6卷 118-126页

作者： Maria Francis George Johnson Thevabakthi Siluvai Muthu Arul Jeevan Sebastian arockiasamy Karachalacheruvu Seetharamaiah Nagaraja Department of Chemistry Loyola Institute of Frontier Energy (LIFE) Loyola College Chennai India Department of Chemistry College of Natural and Computational Sciences University of Gondar Gondar Ethiopia Department of Chemistry School of Advanced Sciences (SAS) VIT University Chennai Campus Chennai India

The complexes of bis[N-alkyl-2-hydroxonapthaldimine]nickel(II) (N-alkyl = methyl, ethyl, propyl, butyl or pentyl) were synthesized and their volatilization in N2 atmosphere was demonstrated by the TG-based transpiration technique. The equilibrium vapor pressure of the complexes over a temperature span of 470 - 590 K was determined by adapting a horizontal dual arm single furnace thermoanalyser as a transpiration apparatus. It yielded as 153.1 (±1.9), 122.9 (±0.3), 147.6 (±10.7), 151.8 (±10.9) and 114.7 (±5.3) k·Jmol–1 respectively. The entropies of vaporization for these complexes as calculated from the intercept of the linear fit expressions were found to be 319.7 (±3.9), 229.9 (±5.8), 317.8 (±17.2), 319.7 (±19.1) and 254.6 (±9.6) Jmo–1·K–1 respectively. The non-isothermal vaporization activation energy was determined from Arrhenius and Coats-Redfern methods.

关键词： Volatile Nickel Complexes Thermal Properties Vapor Pressure Transpiration Technique Enthalpy and Entropy of Vaporization Vaporization Kinetics

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Characterization and Evaluation of Standard Enthalpy of Vaporization and Kinetic Studies of Volatile bis(N-ethyl-5-methyl-salicylaldimine)nickel(II) Complex

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American Journal of Analytical Chemistry 2015年第2期6卷 156-163页

作者： Thevabakthi Siluvai Muthu Arul Jeevan Maria Francis George Johnson Atnafu Guadie Assefa Sebastian arockiasamy Karachalacheruvu Seetharamaiah Nagaraja Department of Chemistry College of Natural and Computational Sciences University of Gondar Gondar Ethiopia Department of Chemistry Loyola Institute of Frontier Energy (LIFE) Loyola College Chennai India Department of Chemistry School of Advanced Sciences (SAS) VIT University Chennai Campus Chennai India

The bis(N-ethyl-5-methylsalicylaldimine)nickel(II) [Ni(5-me-saletN)2] complex was synthesized and characterized by elemental analyses, FT-IR, TG-DTA, mass spectrometry and vapour pressure measurement studies. The TG curve of the complex showed a single-step weight loss commencing from 490 K to nil residue at 600 K, without competing fragmentation step. The non-isothermal vaporization activation energy value determined by Coats-Redfern method yielded the value of 93.5 ± 7 kJmol–1. The dynamic TG run proved the complex to be completely volatile. And the equilibrium vapour pressure of the complex over the temperature range of 421 - 524 K, determined by the TG-based transpiration technique yielded the value of 94.2 ± 1.2 kJmol–1 for its standard enthalpy of vaporization . The entropy of vaporization was calculated from the intercept and found to be 249.4 ± 2.6 Jmol–1•K–1.

关键词： Nickel Complexes Enthalpy of Vaporization Thermogravimetry Vapour Pressure Kinetic Studies

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Simplified Design Procedure of Monopile Foundation for Offshore Wind Turbine in Gujarat, India

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Journal of Shipping and Ocean Engineering 2017年第4期7卷 133-152页

作者： Ishwarya Srikanth Satya Kiran Raju Alluri Krishnaveni Balakrishnan Mallavarapu Venkata Ramana Murthy M. arockiasamy . Ocean Structures National Institute of Ocean Technology Chennai 600100 India Department of Civil Environmental and Geomatics Engineering Florida Atlantic University Boca Raton 33431 USA

OWTs （offshore wind turbines） are currently considered as a reliable source of renewable energy. OWT support structures account for 20%-25% of the capital cost for offshore wind installations. Pre-feasibility studies involving estimation of preliminary dimensions of the wind turbine structure need to be performed for initial costing to arrive at the commercial viability of the project. The main objective of the paper is to obtain preliminary configuration for commercial viability and approximate sizing of the foundation pile. Design equations and nomograms are proposed for quick preliminary design of monopile founded wind turbines located offshore of Gujarat. Parametric studies are carried-out on various configurations of a hollow monopile by varying water depths and properties of sand. A nonlinear static analysis of substructure is performed considering aerodynamic forces and hydrodynamic forces for various structural and soil parameters. The sub-structure design of wind turbine is based on API （American petroleum institute） standards. A simplified design methodology for monopile support structure under extreme loading condition is presented based on multivariable linear regression analysis. The input variables for the regression analysis are hydrodynamic data, angle of internal friction of sand, and the output variables are length and outer diameter of monopile. This simplified methodology is applicable in pre-studies of wind power parks.

关键词： OWT support structures monopile regression analysis nomogram.

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Breeding and biotechnological efforts in Jatropha curcas *** sustainable yields

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Oil Crop Science 2021年第4期6卷 180-191页

作者： S.arockiasamy Jyothirmayi Kumpatla Sainath Hadole Vijay Yepuri Manoj Patil Vineeta Shrivastava Chandrasekhara Rao Nagesh Kancharla Saakshi Jalali Alok Varshney Neeta Madan Sai Pothakani Vinod Nair Sridhar Peyyala Vishwnadharaju Mudunuri Ananthan Gopal Niranjan S.Kumar Jawahar Pachiyannan Satyanarayana Seelamanthula J.V.Narasimham Makarand Phadke Anindya B Ajit Sapre Santanu Dasgupta Agronomy Division Reliance Technology GroupReliance Industries LtdGhansoliNavi Mumbai400701India Jatropha Breeding Station Reliance Industries LtdIDA-PeddapuramADB Road SamalkotaAndhra Pradesh533440India

Jatropha is a non-edible,important bioenergy plant,which can grow in marginalized *** seeds possess about 36%oil and this would be converted into biodiesel or *** provides an option for sustainable feed and fuel production due to its inherent qualities including hardy nature,drought tolerance and surviving with limited amount of water,tolerance to unfavorable conditions and excessive ***,heterozygosity,low productivity and poor understanding of its genome are the major impediments to elite line ***,classical breeding and advanced technological investments remain limited owing to long juvenile phase and breeding *** technologies that lead to identification of elite genotypes and development of high yielding elite Jatropha lines and effective methods of detoxification of seeds needs immediate *** tissue culture system,doubled haploids(DH)and genomic tools are increasingly made available to improve the seed yield and its oil quantity through the development of geminivirus disease resistant *** application of advanced,sequencing technologies has presented a repertoire of genomic information for this important yet orphan *** the present investigation,we highlight the achievements made in Jatropha towards development of high yielding,virus resistant elite lines and hybrids with yield potential ranging from 3 to 5 tons per hectare in a year,which is a first ever report in the *** also developed potential biotechnological tools such as genetic transformation,genome editing and next generation genomics tools including linkage maps and QTLs for accelerating breeding efforts through marker assisted *** of our concerted and continuous efforts during the past 15 years,we have overcome all the obstacles and developed high yielding,disease resistant hybrids/lines,advanced cultivation technologies with thorough knowledge on Agronomy of the Jatropha *** Jatropha cultivat

关键词： Breeding Hybrids Micropropagation Transformation Sequencing Mapping QTLs CRISPR

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