Search results for "concrete"

showing 10 items of 262 documents

Masonry infills and RC frames interaction: Literature overview and state of the art of macromodeling approach

2015

The issue of the influence of masonry infills within RC frames structures has been widely investigated in the last decades by several researchers. The large interest addressed to this topic depends on the actual observation that when in presence of seismic events, the response of framed structures is strongly conditioned by the interaction with the infill walls, which however are considered as non-structural elements and not included in the models. The influence of masonry infills role in structural response is so much relevant to affect not only the overall strength and the stiffness but it may also radically change the possible collapse mechanisms of the overall structural complex under t…

EngineeringmacromodelEnvironmental Engineeringbusiness.industryinfilled framemicromodelinfilled frames; interaction; macromodel; masonry; micromodel; reinforced concrete;Constitutive equationStiffnessinteractionStructural engineeringRc framesMasonryreinforced concreteNonlinear systemIdentification (information)Settore ICAR/09 - Tecnica Delle Costruzionimasonryinfilled framesInfillmedicineState (computer science)medicine.symptombusinessCivil and Structural Engineering
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Flexural behaviour of external R/C steel fibre reinforced beam-column joints

2011

ABSTRACT A softened strut-and-tie macro model able to reproduce the flexural behaviour of external beam-column joint is presented. The model is specific for concrete with hooked steel fibres (FRC) and it is designed to calculate the flexural response, as load-deflection curve, of a beam-column sub-assemblages. The model considers the presence of a constant vertical load acting on the column and of a monotonically increasing lateral force applied at the tip of the beam.

Environmental EngineeringMaterials scienceThree point flexural testbusiness.industryFlexural modulusSteel fibreVertical loadStructural engineeringbeam-column joint fibre reinforced concrete load-deflection curves analytical-model seismic resistance concrete beams strength connections stressSettore ICAR/09 - Tecnica Delle CostruzioniFlexural strengthBeam columnComposite materialbusinessJoint (geology)Beam (structure)Civil and Structural EngineeringEuropean Journal of Environmental and Civil Engineering
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Evaluation of a microclimate model for predicting the thermal behavior of different ground surfaces

2013

The microclimate model ENVI-met Version 4 was evaluated with field data in terms of the thermal behavior of different types of ground surface. A field experiment was conducted in a real construction project in Guangzhou, South China, from 29 August to 2 September in 2010. The surface types of concrete, tile, asphalt and grass were investigated. The comparison between observation and prediction was performed for both sub- and above-surface variables, including soil temperature at different depths, soil heat flux at the surface, surface temperature, and air temperature and humidity at different heights. The results show that the ENVI-met model is capable of reasonably modelling the diurnal th…

Environmental EngineeringMeteorologyField experimentGeography Planning and DevelopmentMicroclimateHumidityPoison controlBuilding and ConstructionAtmospheric sciencesTypes of concreteAsphaltvisual_artThermalvisual_art.visual_art_mediumEnvironmental scienceTileCivil and Structural EngineeringBuilding and Environment
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Concrete columns confined with fibre reinforced cementitious mortars: Experimentation and modelling

2014

Abstract The structural behaviour of concrete columns strengthened with a system made up of fibre nets embedded in an inorganic stabilized cementitious matrix under an uniaxial load was investigated. Medium size specimens with circular and square cross-section were cast and subjected to monotonic uniaxial compression, to investigate the efficiency of a p-Phenylene BenzobisOxazole (PBO) Fibre Reinforced Cementitious Mortar (FRCM) system in increasing both strength and ductility. The experimental results show that the confinement system adopted produced a noticeable increment in strength and ductility, though the low mechanical ratios of fibre considered were not always able to ensure hardeni…

FRCM Confinement Fibres Laminates Strength Mechanical testing Analytical modelling Reinforced concreteMaterials sciencebusiness.industryUniaxial compressionBuilding and ConstructionStructural engineeringReinforced concreteSettore ICAR/09 - Tecnica Delle CostruzioniAnalytical modelling; Confinement; PBO fibres; fiber reinforced cementitiuos matrix (FRCM); Laminates; Mechanical testing; Reinforced concrete; StrengthHardening (metallurgy)General Materials ScienceCementitiousMortarComposite materialUniaxial loadbusinessCementitious matrixCivil and Structural Engineering
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THE RESISTANCE TO FATIGUE OF DRY ASPHALT RUBBER CONCRETE FOR SUB-BALLAST LAYER

2015

The more and more frequent use of recycled materials within the road and railway infrastructures is now an irreversible trend. In this area the use of Dry Asphalt Rubber Concrete (DARC) in sub-ballast layer seems to be a suitable technique to reach high mechanical and environmental performance even if such material should be analyzed over a long time horizon. This paper presents the results of experimental research focused on the resistance to fatigue of Dry Asphalt Rubber Concrete in sub-ballast layers; the survey has been carried out using four-point bending test (4pbt) on mixture samples with different rubber contents. The results of fatigue in DARC have been compared with the performanc…

Fatigue resistance Dry Asphalt Rubber Concrete Sub-ballast layer Dissipated energySettore ICAR/04 - Strade Ferrovie Ed Aeroporti
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Design of RC joints equipped with hybrid trussed beams and friction dampers

2021

Abstract The challenge of this research consists in the first attempt to apply a dissipative friction connection to beam-to-column joints with semi-prefabricated Hybrid Steel-Trussed Concrete Beams (HSTCB) and RC pillars cast in-situ. Nowadays, HSTCBs are widely adopted in civil and industrial buildings and, therefore, it is required to evaluate their compliance with the capacity design criteria and their seismic energy dissipation capability. However, the design of the reinforcement of such beams usually lead to the adoption of large amount of steel within the panel zone which becomes potentially vulnerable to the effects of seismic cyclic actions and dramatically reduce the dissipation ca…

Finite element modelsComputer scienceShear force0211 other engineering and technologies020101 civil engineering02 engineering and technologyRC jointsSeismic energy dissipation0201 civil engineeringDamper021105 building & constructionmedicineTorqueCivil and Structural Engineeringbusiness.industryFriction dampersStiffnessStructural engineeringDissipationFinite element methodSettore ICAR/09 - Tecnica Delle CostruzioniCyclic behaviour; Earthquake design; Finite element models; Friction dampers; Hybrid steel-trussed-concrete beams; RC joints; Seismic energy dissipation; Structural designHybrid steel-trussed-concrete beamsStructural designBending momentCyclic behaviourEarthquake designmedicine.symptombusinessBeam (structure)Engineering Structures
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Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks

2015

The fundamental period is one of the most critical parameters for the seismic design of structures. There are several literature approaches for its estimation which often conflict with each other, making their use questionable. Furthermore, the majority of these approaches do not take into account the presence of infill walls into the structure despite the fact that infill walls increase the stiffness and mass of structure leading to significant changes in the fundamental period. In the present paper, artificial neural networks (ANNs) are used to predict the fundamental period of infilled reinforced concrete (RC) structures. For the training and the validation of the ANN, a large data set i…

General Computer ScienceArticle SubjectComputer scienceGeneral MathematicsStructure (category theory)020101 civil engineering02 engineering and technologylcsh:Computer applications to medicine. Medical informatics0201 civil engineeringSeismic analysislcsh:RC321-571Materials Testing0202 electrical engineering electronic engineering information engineeringInfillmedicineMathematics (all)lcsh:Neurosciences. Biological psychiatry. NeuropsychiatryMaterials Testing; Neural Networks (Computer); Neuroscience (all); Computer Science (all); Mathematics (all)Neuroscience (all)Artificial neural networkbusiness.industryGeneral NeuroscienceFrame (networking)Computer Science (all)StiffnessGeneral MedicineStructural engineeringNeural Networks (Computer)Reinforced concretelcsh:R858-859.7020201 artificial intelligence & image processingArtificial intelligenceNeural Networks Computermedicine.symptombusinessPeriod (music)Research ArticleComputational Intelligence and Neuroscience
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6th Workshop on The New Boundaries of Structural Concrete 2022 University of Salento – ACI Italy Chapter

2022

Geopolymer cement is a viable alternative to ordinary cement in order to significantly reduce the emission of carbon dioxide related to the construction of concrete structures. Being made up of waste materials, geopolymer cement also helps to limit the use of new raw materials, leading to a considerable reduction of the environmental impact of the construction industry. During the last years, the use of Geopolymer Recycled Aggregate Concrete (GRAC) in structural members has been studied in several recent experimental research in which the behavior of either the material or structural member was investigated. A review paper will be done critically to compile the present research on the use o…

Geopolymer concrete recycled aggregate reviewSettore ICAR/09 - Tecnica Delle Costruzioni
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LONG-TERM STRUCTURAL DEFICIENCIES IN A MAT FOUNDATION ON CLAY SOIL

2013

A 3-story building with a mat foundation consisting of a slab on a grid of grade beams performed poorly on clay soil. Cracking of the slab became rogressively worse as a result of the incorrect esign and fluctuations in the groundwater pressure under the foundation. The cyclic presence and absence of water rusted the steel reinforcement, and the sulfates in the clay soil caused formation of ettringite in the concrete. Plastic hinges formed in the slab and settlements occurred, causing damage to the beams. The situation is still in progress and may lead to the collapse of the structure under normal service conditions. The geotechnical and structural investigations performed to survey and ass…

Geotechnical investigationMat foundation Concrete slab Progressive collapse Differential settlements Soil-water movement.Mat foundationcrackingFoundation (engineering)Progressive collapsesoil water movementBuilding and Constructionprogressive collapsegeotechnical investigationsCrackingSettore ICAR/09 - Tecnica Delle CostruzioniShallow foundationdifferential settlementsSoil waterSlabMat foundation concrete slab progressive collapse differential settlements soil water movement cracking geotechnical investigationsGeotechnical engineeringSafety Risk Reliability and Qualityconcrete slabGroundwaterGeologyCivil and Structural Engineering
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A machine learning approach to determine airport asphalt concrete layer moduli using heavy weight deflectometer data

2021

An integrated approach based on machine learning and data augmentation techniques has been developed in order to predict the stiffness modulus of the asphalt concrete layer of an airport runway, from data acquired with a heavy weight deflectometer (HWD). The predictive model relies on a shallow neural network (SNN) trained with the results of a backcalculation, by means of a data augmentation method and can produce estimations of the stiffness modulus even at runway points not yet sampled. The Bayesian regularization algorithm was used for training of the feedforward backpropagation SNN, and a k-fold cross-validation procedure was implemented for a fair performance evaluation. The testing p…

Heavy weight deflectometerComputer scienceMaintenanceRunwayGeography Planning and DevelopmentTJ807-830Management Monitoring Policy and LawStiffness modulusTD194-195Machine learningcomputer.software_genreRenewable energy sourcesMachine learningPerformance predictionGE1-350Layer (object-oriented design)Environmental effects of industries and plantsArtificial neural networkRenewable Energy Sustainability and the Environmentbusiness.industryFeed forwardPavement managementBuilding and ConstructionBackpropagationEnvironmental sciencesAsphalt concreteShallow neural networkHeavy weight deflectometer; Machine learning; Maintenance; Runway; Shallow neural network; Stiffness modulusRunwayArtificial intelligencebusinesscomputer
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