Search results for "Engenharia e Tecnologia::Engenharia Civil"

showing 5 items of 5 documents

Comparison of the greenhouse gas emissions of a high-rise residential building assessed with different national LCA approaches– IEA EBC Annex 72

2020

Introduction: The international research project IEA EBC Annex 72 investigates the life cycle related environmental impacts caused by buildings. The project aims inter alia to harmonise LCA approaches on buildings. Methods: To identify major commonalities and discrepancies among national LCA approaches, reference buildings were defined to present and compare the national approaches. A residential high-rise building located in Tianjin, China, was selected as one of the reference buildings. The main construction elements are reinforced concrete shear walls, beams and floor slabs. The building has an energy reference area of 4566 m2 and an operational heating energy demand of 250 MJ/m2a. An ex…

ChinaHigh-rise residential buidingsEconomics020209 energyContext (language use)02 engineering and technology010501 environmental sciences01 natural sciences7. Clean energy:Teknologi: 500 [VDP]12. Responsible consumptionLife cycle related environmental[SPI]Engineering Sciences [physics]Engenharia e Tecnologia::Engenharia CivilBenchmark (surveying)Ação climática11. Sustainability0202 electrical engineering electronic engineering information engineeringddc:330Shear wallEnergias renováveis e acessíveisBuildingsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesInternational researchCidades e comunidades sustentáveisSettore ING-IND/11 - Fisica Tecnica AmbientaleScope (project management)LCAAnnex 72 IEAEnvironmental economicsenvironmental assessment office building LCATianjinGreenhouse gases13. Climate actionHeating energyGreenhouse gasAssessment methodsEnvironmental science
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The effect of prolonged storage time on asphalt rubber binder properties

2019

Abstract This study wants to provide fundamental understanding of prolonged storage time on asphalt rubber binder properties by performing an investigation on the variation of conventional properties, rheology and morphology of four asphalt rubbers maintained at 180 °C in low shear for different digestion/storage times up to 48 h. The analysed asphalt rubbers were manufactured by combining two different asphalt binder grades, pen 35/50 and pen 50/70, with both cryogenic and ambient crumb rubber. Results have shown that keeping asphalt rubber agitated at the above mentioned processing conditions, up to 48 h, is significantly detrimental when an ambient crumb rubber is used, while it seems no…

Materials science0211 other engineering and technologies02 engineering and technologyAsphalt rubberNatural rubberRheologyEngenharia e Tecnologia::Engenharia Civil021105 building & constructionDigestion timeGeneral Materials ScienceCrumb rubberComposite materialCivil and Structural EngineeringCrumb rubberScience & TechnologyBuilding and Construction021001 nanoscience & nanotechnologyAsphaltvisual_art:Engenharia Civil [Engenharia e Tecnologia]visual_art.visual_art_mediumStorage stabilityAsphalt rubber Digestion time Storage stability Rheology Scanning electron microscopy Crumb rubber0210 nano-technologyRheologyScanning electron microscopy
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Comparison of the environmental assessment of an identical office building with national methods

2019

The IEA EBC Annex 72 focuses on the assessment of the primary energy demand, greenhouse gas emissions and environmental impacts of buildings during production, construction, use (including repair and replacement) and end of life (dismantling), i.e. during the entire life cycle of buildings. In one of its activities, reference buildings (size, materialisation, operational energy demand, etc.) were defined on which the existing national assessment methods are applied using national (if available) databases and (national/regional) approaches. The ?be2226? office building in Lustenau, Austria was selected as one of the reference buildings. TU Graz established a BIM model and quantified the amou…

Primary energyEconomics0211 other engineering and technologiesSocial SciencesBuilding material02 engineering and technology010501 environmental sciencesengineering.material01 natural sciencesEngenharia e Tecnologia::Engenharia CivilAnnex 7211. Sustainability021105 building & constructionddc:330Production (economics)Environmental impact assessment0105 earth and related environmental sciencesSettore ING-IND/11 - Fisica Tecnica AmbientaleComparative AnalysisScience & TechnologyEnergy demandEnvironmental assessment[SDE.IE]Environmental Sciences/Environmental Engineeringbusiness.industryLCAArts & HumanitiesEnvironmental economics13. Climate actionGreenhouse gasAssessment methodsengineeringEnvironmental scienceElectricitybusinessBuilding life cycle assessment
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Mapping and holistic design of natural hydraulic lime mortars

2020

Supplementary data to this article can be found online at https://doi.org/10.1016/j.cemconres.2020.106167.

Design0211 other engineering and technologies02 engineering and technologyengineering.materialCompatibilityFlexural strengthEngenharia e Tecnologia::Engenharia CivilConsistency (statistics)021105 building & constructionGeneral Materials ScienceGeotechnical engineeringMathematicsScience & TechnologyAggregate (composite)Artificial neural networksMonument protectionHydraulic limeExperimental dataBuilding and Construction021001 nanoscience & nanotechnologyCompressive strengthCompatibility (mechanics):Engenharia Civil [Engenharia e Tecnologia]engineeringNatural hydraulic limeMortar0210 nano-technologyMortar characteristicsCement and Concrete Research
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Masonry Compressive Strength Prediction Using Artificial Neural Networks

2019

The masonry is not only included among the oldest building materials, but it is also the most widely used material due to its simple construction and low cost compared to the other modern building materials. Nevertheless, there is not yet a robust quantitative method, available in the literature, which can reliably predict its strength, based on the geometrical and mechanical characteristics of its components. This limitation is due to the highly nonlinear relation between the compressive strength of masonry and the geometrical and mechanical properties of the components of the masonry. In this paper, the application of artificial neural networks for predicting the compressive strength of m…

Computer science0211 other engineering and technologiesSocial SciencesCompressive strength020101 civil engineering02 engineering and technology0201 civil engineeringEngenharia e Tecnologia::Engenharia CivilBack-Propagation Neural Networks (BPNNs)11. Sustainability021105 building & constructionMasonryArtificial Neural Networks (ANNs)Science & TechnologyArtificial neural networkbusiness.industryMasonry unitArts & HumanitiesStructural engineeringMasonryMortarSettore ICAR/09 - Tecnica Delle CostruzioniNonlinear systemSoft-computing techniquesCompressive strengthBuilding materialsBuilding materialMortarbusiness
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