Search results for "Structural engineering"

showing 10 items of 1998 documents

Temperature dependence of the rate constant of hydrogen isotope interactions with a lithium capillary-porous system under reactor irradiation

2013

Abstract Experiments with a sample of a lithium capillary-porous system (CPS) were performed at the reactor IVG-1.M of the Institute of Atomic Energy NNC RK to study the effects of neutron irradiation on the parameters of hydrogen isotope interactions with a lithium CPS. The absorption technique was used during the experiments, and this technique allowed the temperature dependences of the hydrogen isotope interaction rate constants with the lithium CPS to be obtained under various reactor powers. The obtained dependencies were used to determine the main interaction parameters: the activation energies and the pre-exponents of the Arrhenius dependence of the hydrogen interaction rate constant…

Arrhenius equationMaterials scienceHydrogenCapillary actionMechanical EngineeringDivertortechnology industry and agricultureAnalytical chemistrychemistry.chemical_elementcomplex mixturessymbols.namesakeReaction rate constantNuclear Energy and EngineeringchemistrysymbolsAstrophysics::Solar and Stellar AstrophysicsComputer Science::Programming LanguagesGeneral Materials ScienceLithiumPhysics::Atomic PhysicsIrradiationAbsorption (chemistry)Civil and Structural EngineeringFusion Engineering and Design
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Multilanguage Semantic Interoperability in Distributed Applications

2013

JOSI is a software framework that tries to simplify the development of such kinds of applications both by providing the possibility of working on models for representing such semantic information and by offering some implementations of such models that can be easily used by software developers without any knowledge about semantic models and languages. This software library allows the representation of domain models through Java interfaces and annotations and then to use such a representation for automatically generating an implementation of domain models in different programming languages (currently Java and C++). Moreover, JOSI supports the interoperability with other applications both by …

Article SubjectJavaProgramming languageComputer sciencebusiness.industryMechanical EngineeringGeneral Chemical EngineeringRepresentation (arts)Domain modelSemantic interoperabilitycomputer.software_genreIndustrial and Manufacturing EngineeringSoftware frameworkSoftwareHardware and Architecturelcsh:TA1-2040Domain analysisElectrical and Electronic Engineeringbusinesslcsh:Engineering (General). Civil engineering (General)computerImplementationCivil and Structural Engineeringcomputer.programming_languageJournal of Engineering
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An ANN model to correlate roughness and structural performance in asphalt pavements

2017

Abstract In this paper, using a large database from the Long Term Pavement Performance program, the authors developed an Artificial Neural Network (ANN) to estimate the structural performance of asphalt pavements from roughness data. Considering advantages of modern high-performance survey devices in the acquisition of road pavement functional parameters, it would be of practical significance if the structural state of a pavement could be estimated from its functional conditions. To differentiate various road section conditions, several significant input parameters, related to traffic, weather, and structural aspects, have been included in the analysis. The results are very interesting and …

Artificial Neural NetworkEngineering0211 other engineering and technologies020101 civil engineering02 engineering and technologySurface finishcomputer.software_genreCivil engineering0201 civil engineeringDeflection (engineering)021105 building & constructionLinear regressionSettore ICAR/04 - Strade Ferrovie Ed AeroportiAsphalt pavementGeneral Materials ScienceCivil and Structural EngineeringArtificial neural networkLTPPbusiness.industryBuilding and ConstructionStructural performanceAsphaltMaterials Science (all)Data miningRoughnebusinesscomputerArtificial Neural Network; Asphalt pavements; LTPP; Roughness; Structural performance; Civil and Structural Engineering; Building and Construction; Materials Science (all)Construction and Building Materials
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Development of Eco-Friendly and Self-Cleaning Lime-Pozzolan Plasters for Bio-Construction and Cultural Heritage

2020

Summarization: Nowadays, the design and use of multi-functional mortars has increased significantly, with interesting applications in the green building and cultural heritage conservation sectors. A key point for a correct adoption of these innovative materials is their behavior along time and their resistance to the weathering. The objective of this project was to define the performance and durability of innovative mortars, in order to use them correctly and to avoid irreparable damage over time. For the development of this project, lime–metakaolin and hydraulic lime–metakaolin based mortars (hereinafter called A, B), as well as A and B with the addition of nano-TiO2 and perlite (hereinaft…

Artificial ageingAbsorption of waterenergy efficient mortars; photocatalytic; cultural heritage; bio architecture; nano-titanium dioxide; artificial ageing; self-cleaning0211 other engineering and technologiesPhotocatalytic02 engineering and technologyengineering.materialnano-titanium dioxidelcsh:TH1-9745Nano-titanium dioxideenergy efficient mortarenergy efficient mortarsBio architectureFlexural strength021105 building & constructionArchitectureartificial ageingCivil and Structural EngineeringLimeEnvironmental engineeringBuilding and ConstructionPozzolancultural heritage021001 nanoscience & nanotechnologyphotocatalyticEnvironmentally friendlyDurabilitySettore ICAR/12 - Tecnologia Dell'ArchitetturaCultural heritageengineeringPerlitebio architectureEnvironmental scienceMortar0210 nano-technologySelf-cleaningself-cleaningEnergy efficient mortarslcsh:Building constructionBuildings
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Application of optimized artificial intelligence algorithm to evaluate the heating energy demand of non-residential buildings at European level

2019

Abstract A reliable preliminary forecast of heating energy demand of a building by using a detailed dynamic simulation software typically requires an in-depth knowledge of the thermal balance, several input data and a very skilled user. The authors will describe how to use Artificial Neural Networks to predict the demand for thermal energy linked to the winter climatization of non-residential buildings. To train the neural network it was necessary to develop an accurate energy database that represents the basis of the training of a specific Artificial Neural Networks. Data came from detailed dynamic simulations performed in the TRNSYS environment. The models were built according to the stan…

Artificial neural networkDecision support toolComputer science020209 energyReliability (computer networking)02 engineering and technologyTRNSYSStandard deviationIndustrial and Manufacturing EngineeringBuilding simulationSoftware020401 chemical engineering0202 electrical engineering electronic engineering information engineering0204 chemical engineeringElectrical and Electronic EngineeringLearning algorithmThermal balanceCivil and Structural EngineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleArtificial neural networkbusiness.industryMechanical EngineeringBuilding and ConstructionIndustrial engineeringPollutionDynamic simulationGeneral EnergyHigh energy performancebusinessEnergy (signal processing)Thermal energy
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The SESAMO early warning system for rainfall-triggered landslides

2016

The development of Web-based information systems coupled with advanced monitoring systems could prove to be extremely useful in landslide risk management and mitigation. A new frontier in the field of rainfall-triggered landslides (RTLs) lies in the real-time modelling of the relationship between rainfall and slope stability; this requires an intensive monitoring of some key parameters that could be achieved through the use of modern and often low-cost technologies. This work describes an integrated information system for early warning of RTLs that has been deployed and tested, in a prototypal form, for an Italian pilot site. The core of the proposed system is a wireless sensor network coll…

Artificial neural networkEngineeringAtmospheric Science0208 environmental biotechnologyInteroperabilityReal-time computingArtificial neural network; Early warning; Integrated information system; MEMS tilt sensor; Meteorological micro radar; Monitoring system; Atmospheric Science; Geotechnical Engineering and Engineering Geology02 engineering and technologyMEMS tilt sensorSlope stabilityInformation systemIntegrated information systemSimulationMeteorological micro radarCivil and Structural EngineeringWater Science and TechnologyEarly warningWarning systembusiness.industryLandslideGeotechnical Engineering and Engineering Geology020801 environmental engineeringReal-time locating systemEarly warning systemMonitoring systembusinessWireless sensor network
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Multiple criteria assessment of methods for forecasting building thermal energy demand

2020

Abstract Nowadays worldwide directives have focused the attention on improving energy efficiency in the building sector. The research of models able to predict the energy consumption from the first design and energy planning phase is conducted to improve building sustainability. Use of traditional forecasting tools for building thermal energy demand tends to encounter difficulties relevant to the amount of data required, implementation of the models, computational costs and inability to generalize the output. Therefore, many studies focused on the research and development of alternative resolution methods, but the choice of the most convenient is not clear and simple. Single comparison of s…

Artificial neural networkOperations researchComputer science020209 energy0211 other engineering and technologiesBuilding thermal energy demandDimensionless analysis02 engineering and technologyMultiple criteria assessmentForecasting method021105 building & construction0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringMultiple linear regressionCivil and Structural EngineeringData collectionbusiness.industryMechanical EngineeringBuilding and ConstructionEnergy consumptionEnergy planningIdentification (information)IncentiveRankingbusinessThermal energyEfficient energy useEnergy and Buildings
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Filter approach to the stochastic analysis of MDOF wind-excited structures

1999

Abstract In this paper, an approach useful for stochastic analysis of the Gaussian and non-Gaussian behavior of the response of multi-degree-of-freedom (MDOF) wind-excited structures is presented. This approach is based on a particular model of the multivariate stochastic wind field based upon a particular diagonalization of the power spectral density (PSD) matrix of the fluctuating part of wind velocity. This diagonalization is performed in the space of eigenvectors and eigenvalues that are called here wind-eigenvalues and wind-eigenvectors, respectively. From the examination of these quantities it can be recognized that the wind-eigenvectors change slowly with frequency while the first wi…

Astrophysics::High Energy Astrophysical PhenomenaGaussianAerospace EngineeringGeometryOcean EngineeringCondensed Matter PhysicWind speedMatrix (mathematics)symbols.namesakePhysics::Atmospheric and Oceanic PhysicsEigenvalues and eigenvectorsMathematicsCivil and Structural EngineeringStochastic processMechanical EngineeringMathematical analysisSpectral densityStatistical and Nonlinear PhysicsFilter (signal processing)White noiseCondensed Matter PhysicsMultivariate stochastic analysis; Filter equations; Wind-excited structuresNuclear Energy and EngineeringPhysics::Space PhysicssymbolsStatistical and Nonlinear Physic
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Implementation of pressure reduction valves in a dynamic water distribution numerical model to control the inequality in water supply

2013

The analysis of water distribution networks has to take into account the variability of users' water demand and the variability of network boundary conditions. In complex systems, e.g. those characterized by the presence of local private tanks and intermittent distribution, this variability suggests the use of dynamic models that are able to evaluate the rapid variability of pressures and flows in the network. The dynamic behavior of the network also affects the performance of valves that are used for controlling the network. Pressure reduction valves (PRVs) are used for controlling pressure and reducing leakages. Highly variable demands can produce significant fluctuation of the PRV set po…

Atmospheric ScienceEngineeringPressure controlbusiness.industryFlow (psychology)Complex systemWater supplyGeotechnical Engineering and Engineering Geologydynamic model intermittent distribution method of characteristic pipe-filling process PRVs water distribution network modelingVariable (computer science)Control theoryBoundary value problemWater qualityTransient (oscillation)businessSimulationCivil and Structural EngineeringWater Science and TechnologyJournal of Hydroinformatics
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Analysis of the impact of intermittent distribution by modelling the network-filling process

2010

In many countries, users acquire private tanks to reduce their vulnerability to water scarcity. In such conditions, water managers often apply intermittent distribution in order to reduce the water volumes supplied to the users. This practice modifies the hydraulic behaviour of the network and determines competition among users that need to collect enough water resource for their uses. Intermittent distribution is thus responsible for the inequality that can occur among users: those located in advantaged positions of the network are able to obtain water resources soon after the service period begins, while others have to wait much longer, after the network is full. This paper analyses the i…

Atmospheric ScienceService (systems architecture)EngineeringProcess (engineering)business.industryEnvironmental economicsGeotechnical Engineering and Engineering GeologyWater scarcityWater resourcesCompetition (economics)Resource (project management)Order (exchange)businessSimulationCivil and Structural EngineeringWater Science and TechnologyVulnerability (computing)Journal of Hydroinformatics
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