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Chinese Journal of Chemical Engineering 2020年第7期28卷 1767-1777页

作者： r.chandra sekhar reddy P.Sudarsana reddy Department of Mathematics Rajeev Gandhi Memorial Collge of Engineering&TechnologyNandyalA.P.India

Comparison between unsteady and steady MHD Buongiorno’s model Williamson nanoliquid flow through a wedge with slip effects,chemical reaction and radiation is made in this *** and Brownian motion are also considered in this *** similarity variables are presented to transmute the governing PDEs into the set of non-linear *** most widely authenticated finite element method is implemented to analyze these set of ODEs *** behavior of concentration,temperature and velocity sketches for varied values of relevant parameters is numerically calculated and the outcomes are plotted through *** numerical values of dimensionless rates of mass transfer,heat and velocity are also evaluated and depicted through *** is noted that with upsurging values of angle of wedge parameter,the distributions of temperature of the liquid intensify in both steady and unsteady cases.

关键词： Finite element method Chemical reaction Williamson nanoliquid Thermophoresis Thermal radiation Brownian motion

Navigating the hydrogen prospect:A comprehensive review of sustainable source-based production technologies,transport solutions,advanced storage mechanisms,and CCUS integration

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Journal of Energy Chemistry 2024年第10期97卷 166-215,I0005页

作者： Sehar Tasleem chandra sekhar Bongu Mohan raj Krishnan Edreese Housni Alsharaeh College of Science and General Studies Alfaisal UniversityPO Box 50927Riyadh 11533Saudi Arabia

The review is a comprehensive discussion of current research advances,commercial scale developments,challenges,and techno-eco nomics for the entire H_(2) value chain,including production,mainly focusing on sustainable sources,storage,and *** challenges,advantages,and uses of H_(2) energy are included at ***,apart from the sustainable production approaches,the approaches and current developments for combating the carbon dioxide(CO_(2))emissions from existing H_(2) production facilities are highlighted in terms of ca rbon capture,utilization,and storage(CCUS).Concisely,the review discusses current material and recent technological adva ncements in developing pilot projects and large-scale establishments for viable and rapidly emerging sou rce-ba sed H_(2) productio ***,the review also aims to provide an in-depthdiscussion and explore current developments based on the advantages of H_(2) energy in terms of its utilization,based on its high energy density,and its ability to be used as a feedstock and *** the other hand,the challenges of H_(2) are also elabo ***,the role of CCUS in a carbon-neutral economy and value chain for minimization of emissions from existing facilities is thoroughly deliberated,and the recent commercial-scale implementation of CCUS technologies is *** the utilization and recycling of captured CO_(2) emissions along with H_(2) to produce e-fuels in terms of current advances is detailed in this *** rthermore,the most applicable,efficient,a nd develo ping approaches are discussed for physical and chemical H_(2) storage,considering recent la rge-scale implementations of liquid carriers and liquid organic hydrogen carriers as storage ***,the review elaborates on recent insights into advances in H_(2) transport infrastructure,including compressed and liquid H_(2) delivery via roads,ships,pipelines,and flight *** review gives precise insights into the recent scenario through

关键词： Source-based hydrogen Hydrogen utilization Carbon capture E-fuels Hydrogen storage Transport infrastructure

Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities:Current trends and future outlook

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Building Simulation 2024年第5期17卷 695-722页

作者： Nilabhra Mondal Prashant Anand Ansar Khan Chirag Deb David Cheong chandra sekhar Dev Niyogi Mattheos Santamouris Department of Architecture and regional Planning Indian Institute of Technology KharagpurKharagpurIndia Department of Geography Lalbaba CollegeUniversity of CalcuttaKolkataIndia School of Architecture Design and PlanningThe University of SydneyAustralia Department of the Built Environment National University of SingaporeSingapore Department of Geological Sciences Jackson School of GeosciencesThe University of Texas at AustinAustinUSA DepartmentofCivil Architecturaland Environmental EngineeringThe Universityof Texas at AustinAustinUSA Faculty of Built Environment University of New South WalesAustralia

Energy demand fluctuations due to low probability high impact(LPHI)micro-climatic events such as urban heat island effect(UHI)and heatwaves,pose significant challenges for urban infrastructure,particularly within urban *** short term load forecasting(STLF)of buildings in urban micro-climatic setting(UMS)is obscured by the complex interplay of surrounding morphology,micro-climate and inter-building energy *** urban building energy modelling(UBEM)approaches to provide quantitative insights about building energy consumption often neglect the synergistic impacts of micro-climate and urban morphology in short temporal *** order modelling,unavailability of rich urban datasets such as building key performance indicators for building archetypes-characterization,limit the inter-building energy dynamics consideration into *** addition,mismatch of resolutions of spatio-temporal datasets(meso to micro scale transition),LPHI events extent prediction around UMS as well as its accurate quantitative inclusion in UBEM input organization step pose another degree of *** review aims to direct attention towards an integrated-UBEM(i-UBEM)framework to capture the building load fluctuation over multi-scale spatio–temporal *** highlights usage of emerging data-driven hybrid approaches,after systematically analysing developments and limitations of recent physical,data-driven artificial intelligence and machine learning(AI-ML)based modelling *** also discusses the potential integration of google earth engine(GEE)-cloud computing platform in UBEM input organization step to(i)map the land surface temperature(LST)data(quantitative attribute implying LPHI event occurrence),(ii)manage and pre-process high-resolution spatio-temporal UBEM *** the potential of digital twin,central structed data models to integrate along UBEM workflow to reduce uncertainties related to building archetype characterizat

关键词： urban heat island(UHI) urbanmicro-climate urban morphology urban building energy modelling(UBEM) digitaltwin shorttermload forecasting(STLF) googleearthengine(GEE)

Influence of dynamic soil-pile raft-structure interaction:an experimental approach

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Earthquake Engineering and Engineering Vibration 2015年第4期14卷 625-645页

作者： rajib Saha Sumanta Haldar Sekhar.chandra Dutta Civil Engineering Department National Institute of Technology Agartala School of Infrastructure Indian Institute of Technolgy Bhubaneswar Department of Civil Engineering Indian School of Mines

Traditionally seismic design of structures supported on piled raft foundation is performed by considering fixed base conditions, while the pile head is also considered to be fixed for the design of the pile foundation. Major drawback of this assumption is that it cannot capture soil-foundation-structure interaction due to flexibility of soil or the inertial interaction involving heavy foundation masses. Previous studies on this subject addressed mainly the intricacy in modelling of dynamic soil structure interaction (DSSI) but not the implication of such interaction on the distribution of forces at various elements of the pile foundation and supported structure. A recent numerical study by the authors showed significant change in response at different elements of the piled raft supported structure when DSSI effects are considered. The present study is a limited attempt in this direction, and it examines such observations through shake table tests. The effect of DSSI is examined by comparing dynamic responses from fixed base scaled down model structures and the overall systems. This study indicates the possibility of significant underestimation in design forces for both the column and pile if designed under fixed base assumption. Such underestimation in the design forces may have serious implication in the design of a foundation or structural element.

关键词： soil-foundation-structure interaction piled raft foundation base shear pile head shear model test

Terminalia arjuna bark extract attenuates picrotoxin-induced behavioral changes by activation of serotonergic,dopaminergic,GABAergic and antioxidant systems

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Chinese Journal of Natural Medicines 2017年第8期15卷 584-596页

作者： chandra sekhar Y Phani Kumar G Anilakumar K.r. Applied Nutrition Division Defence Food Research LaboratoryDRDOMysore-570011KarnatakaIndia

Stress and emotion are associated with several illnesses from headaches to heart diseases and immune deficiencies to central nervous system. Terminalia arjuna has been referred as traditional Indian medicine for several ailments. The present study aimed to elucidate the effect of T. arjuna bark extract(TA) against picrotoxin-induced anxiety. Forty two male Balb/c mice were randomly divided into six experimental groups(n = 7): control, diazepam(1.5 mg·kg^(–1)), picrotoxin(1 mg·kg^(–1)) and three TA treatemt groups(25, 50, and 100 mg/kg). Behavioral paradigms and PCr studies were performed to determine the effect of TA against picrotoxin-induced anxiety. The results showed that TA supplementation increased locomotion towards open arm(EPM) and illuminated area(light-dark box test), and increased rearing frequency(open field test) in a dose dependent manner, compared to picrotoxin(P rthermore, TA increased number of licks and shocks in Vogel's conflict. PCr studies showed an up-regulation of several genes, such as BDNF, IP_3, D_2L, CrEB, GABAA, SOD, GPx, and Gr in TA administered groups. In conclusion, alcoholic extract of TA bark showed protective activity against picrotoxin in mice by modulation of genes related to synaptic plasticity, neurotransmitters, and antioxidant enzymes.

关键词： Anxiety Terminalia arjuna Gene expression Picrotoxin Neurotransmitters LC-MS

Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network

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Frontiers of Structural and Civil Engineering 2018年第4期12卷 490-503页

作者： T.chandra sekhara reddy Civil Engineering G.P.R.Engineering CollegeKurnool 518002Andhra PradeshIndia

This paper is aimed at adapting Artificial Neural Networks (ANN) to predict the strength properties of SIFCON containing different minerals admixture. The investigations were done on 84 SIFCON mixes, and specimens were cast and tested after 28 days curing. The obtained experimental data are trained using ANN which consists of 4 input parameters like Percentage of fiber (PF), Aspect ratio (Ar), Type of admixture (TA) and Percentage of admixture (PA). The corresponding output parameters are compressive strength, tensile strength and flexural strength. The predicted values obtained using ANN show a good correlation between the experimental data. The performance of the 4-14-3 architecture was better than other architectures. It is concluded that ANN is a highly powerful tool suitable for assessing the strength characteristics of SIFCON.

关键词： artificial neural networks root mean square error SIFCON silica fume metakaolin steel fiber

Observation of free oscillations after the 2010 Chile and 2011 Japan earthquakes by superconducting gravimeter in Kutch,Gujarat,India

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Geodesy and Geodynamics 2023年第1期14卷 52-64页

作者： chandra sekhar Pedapudi Madhusudhana rao Katlamudi Severine rosat Institute of Seismological research GandhinagarGujaratIndia Department of Earth Sciences Gujarat UniversityAhmedabadGujaratIndia Institut Terre et Environnement de Strasbourg CNRS UMR 7063StrasbourgFrance

In this paper,we present observations of free oscillations of the Earth after major earthquakes in Chile(February 27,2010,Mw8.8)and Japan(March 11,2011,Mw9.1)using data from the dual-sphere superconducting gravimeter(SG-055),installed at Badargadh(23°0.47 N,70°0.62 E),Kutch,Gujarat,India in March *** see the noise characteristics,we calculated the power spectral density of the gravity time series of 5 quiet days in the frequency band 0.05-20 mHz using the new low noise model(NLNM)as a *** compared the noise level of the Badargadh site to other SG sites around the *** shows that the Badargadh SG is in a low noise *** find that the noise increases at frequencies below 1 *** a characteristic is also observed in Djougou(Afrique,Benin)and Strasbourg(France).Using theoretical tides for Gujarat,we estimated a scale factor of about-814 nm/s~2/V for Gravl(lowersphere)and about-775 nm/s~2/V for Grav2(upper-sphere).We corrected the influence of atmospheric pressure from the one-second gravity data before switching to the frequency *** extracted a total of 53 Earth’s Free Oscillations(EFO)modes during the earthquake in Japan and about 47 EFO modes during the earthquake in *** are able to extract the lowest0S2spheroidal mode(0.30945 mHz or54 min)and0S0radial mode(0.81439 mHz or 20 min).The longer time series shows individual0S2singlets and0S3(0.46855 mHz)singlets due to the Coriolis splitting *** cross-referenced the frequencies of these modes using the PrEM model and previous global *** correlation coefficient between the observed and the PrEM model for these two events are 0.999 for Japan earthquake and 0.993 for Chile *** validates the quality of the data useful for low-frequency studies in *** also calculated the relative deviations of our observed fundamental modes with previously determined observed and theoretical *** found that the relative deviations of our observed free oscillations

关键词： Superconducting gravity data Free oscillations PrEM model

Enhanced resistive switching properties of HfAlOx/ZrO2- based rrAM devices

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Progress in Natural Science:Materials International 2022年第5期32卷 602-607页

作者： P.r.sekhar reddy Venkata raveendra Nallagatla Yedluri Anil Kumar G.Murali School of Material Science and Engineering Pusan National University Department of Physics and Oxide research Centre Memory and Catalyst Research Center Hankuk University of Foreign Studies Materials Center Leoben Forschung GmbH Department of Physics United Arab Emirates University Department of Polymer Science and Engineering Department of IT-Energy Convergence (BK21 FOUR) Chemical Industry Institute Korea National University of Transportation

resistive random-Access Memory(rrAM) devices are recognized as potential candidates for next-generation memory devices, due to their smallest cell size, high write/erase speed, and endurance. Particularly, the resistive switching(rS) characteristics in oxide materials have offered new opportunities for developing CMOScompatible high-density rrAM devices. In this study, the rS behavior of HfAlOx/ZrO2thin films sandwiched structure between TiN bottom electrode and Au top electrodes were investigated. It was found that Au/HfAlOx/ZrO2/TiN stacks were superior in terms of rS performance when compare to Au/HfAlOx/TiN memory stacks. The devices demonstrated a good resistance ratio of high resistance state and low resistance state ～103 for Au/HfAlOx/TiN and ～105 for Au/HfAlOx/ZrO2/TiN stacks, respectively. Both stacks showed good retention characteristics(>104s) and endurance(>103cycles). The experimental current-voltage characteristics fitted with different conducting mechanisms, the linear lower bias region is dominated by ohmic conductivity, whereas the non-linear higher bias region was dominated by space-charge limited current conduction mechanism.

关键词： Nonvolatile memory rrAM resistive switching mechanism Atomic layer deposition Current conduction mechanism

Improvising the Self-Healing Capabilities of Concrete Using Different Pozzolanic Materials and Crystalline Admixtures

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Journal of Wuhan University of Technology(Materials Science) 2022年第3期37卷 429-439页

作者： A ravitheja T chandra sekhara reddy C Sashidhar SVr Engineering College AyyalurNandyalKurnoolAndhra PradeshIndia Civil Engineering G Pulla Reddy Engineering CollegeKurnoolAPIndia Jawaharlal Nehru Technological University AnantapurIndia

To analyse the self-healing capacities in terms of mechanical performance of the pozzolanic materials,such as,fly ash,metakaolin and silica fume and crystalline ***-cracked concrete cubes with about 0.05 mm width were exposed to four different environmental conditions at different exposure times in order to determine the effect of temperature and water availability on the self-healing *** the exposure,the control and tested concrete cubes were evaluated for regained strength,void reduction,corrosion inhibition,damp proofing,relative impermeability and *** samples with SF10CA have better cementitious filling and low percentage of voids and water absorption.

关键词： crystalline admixtures pozzolanic materials self-healing

Enhancing the energy efficiency for prolonging the network life time in multi-conditional multi-sensor based wireless sensor network

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Journal of Control and Decision 2023年第1期10卷 72-81页

作者： raviteja Kocherla M.chandra sekhar ramesh Vatambeti research scholar Department of CSEPresidency UniversityBangaloreIndia Department of CSE Presidency UniversityBangaloreIndia Department of CSE CHRIST(Deemed to be University)BangaloreIndia

A wireless sensor network is one of the networks that is highly demanding by various real-timenetworking applications nowadays. A huge amount of sensor nodes is deployed in the networkrandomly and distributed. Most of the applications using wireless sensor network (WSN) aresurveillance monitoring applications like a forest, home, healthcare, environment, and remotemonitoring systems. Based on the application usage, the type of sensor, a number of sensornodes are deployed in such a manner where the sensors can be used effectively. But the sensornodes are restricted in the battery and sensing region. Thus, the battery of the sensor nodesis decreased based on the nodes’ function. The energy level of the sensor nodes highly affectsthe network lifetime. Improving the energy efficiency in WSN is one of the most important challengingtasks. Most of the earlier research works have proposed various methods, techniques,and routing protocols, but they are application dependent and as a common method. So, thispaper is motivated to propose a Multi-Conditional Network Analysis (MCNA) framework for savingthe energy level of the sensor nodes by reducing energy consumption. TheMCNAframeworkinvolves two different clustering processes with cluster head selection, choosing the best nodesbased on the signal strength, and the best route for data transmission. The data transmissionis done by cluster based on source-destination based. The simulation results proved that theproposed MCNA framework outperforms the other existing methods.

关键词： Wireless sensor networks energy efficiency clustering signal strength verification