Search results for "structural"

showing 10 items of 5047 documents

Seismic evaluation of ordinary RC buildings retrofitted with externally bonded FRPs using a reliability-based approach

2020

International audience; Despite the extensive literature on reinforced concrete (RC) members retrofitted with fiberreinforced polymer (FRP) composites, few studies have employed a reliability-based approach to evaluate the seismic performance of RC buildings in terms of their collapse capacity and ductility. In this study, the performance of a poorly-confined RC building structure is investigated for different FRP retrofitting schemes using different configurations and combinations of wrapping and flange-bonded FRPs, as two well-established techniques. A nonlinear pushover analysis is then implemented with a computational reliability analysis based on Latin Hypercube Sampling (LHS) to deter…

Computer science02 engineering and technologyRetrofitting0203 mechanical engineeringRC buildings[PHYS.MECA.SOLID]Physics [physics]/Mechanics [physics]/Solid mechanics [physics.class-ph]RetrofittingCollapse capacityDuctilityReliability (statistics)Civil and Structural EngineeringDuctilitybusiness.industryProbabilistic logicFailure modeStructural engineeringFibre-reinforced plastic021001 nanoscience & nanotechnologyReliability020303 mechanical engineering & transportsLatin hypercube samplingCeramics and Composites0210 nano-technologybusinessMaterial propertiesFailure mode and effects analysisFRP
researchProduct

A Damage Identification Approach for Offshore Jacket Platforms Using Partial Modal Results and Artificial Neural Networks

2018

This paper presents a damage identification method for offshore jacket platforms using partially measured modal results and based on artificial intelligence neural networks. Damage identification indices are first proposed combining information of six modal results and natural frequencies. Then, finite element models are established, and damages in structural members are assumed by reducing the structural elastic modulus. From the finite element analysis for a training sample, both the damage identification indices and the damages are obtained, and neural networks are trained. These trained networks are further tested and used for damage prediction of structural members. The calculation res…

Computer science020101 civil engineering02 engineering and technologylcsh:Technology0201 civil engineeringWaterlinejacket platformlcsh:Chemistrysymbols.namesake0203 mechanical engineeringGeneral Materials Sciencenatural frequenciesInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processesdamage identification indexfinite element modelArtificial neural networkbusiness.industrylcsh:TProcess Chemistry and Technologymodal shapesGeneral EngineeringStructural engineeringFinite element methodlcsh:QC1-999Computer Science ApplicationsIdentification (information)020303 mechanical engineering & transportsModallcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040symbolsSubmarine pipelinebusinesslcsh:Engineering (General). Civil engineering (General)artificial neural networkslcsh:Physics
researchProduct

A Novel Solution to Find the Dynamic Response of an Euler–Bernoulli Beam Fitted with Intraspan TMDs under Poisson Type Loading

2020

This contribution considers a virtual experiment on the vibrational response of rail and road bridges equipped with smart devices in the form of damping elements to mitigate vibrations. The internal damping of the bridge is considered a discontinuity that contain a dashpot. Exact complex eigenvalues and eigenfunctions are derived from a characteristic equation built as the determinant of a 4 x 4 matrix

Computer science020101 civil engineeringPoissonian Loading02 engineering and technologylcsh:TechnologyDashpot0201 civil engineeringDamper0203 mechanical engineeringTuned mass damperGeneral Materials ScienceEigenvalues and eigenvectorsCivil and Structural EngineeringGeneralized functionTuned Mass Damperlcsh:TMathematical analysisCharacteristic equationBuilding and ConstructionWhite noiseGeotechnical Engineering and Engineering GeologyComputer Science ApplicationsVibration020303 mechanical engineering & transportsEuler Bernoulli BeamEuler Bernoulli beam Poissonian loading Tuned mass damperSettore ICAR/08 - Scienza Delle CostruzioniInfrastructures
researchProduct

Image-based 3D reconstruction using traditional and UAV datasets for analysis of road pavement distress

2018

Abstract On local and urban networks, the enduring issue of scarce resources for Maintenance, Rehabilitation, and Reconstruction strategies (MR&R) has led, in many cases, to using unadjusted or poor techniques for road pavement distress detection and analysis, yielding ineffective or even counterproductive results. Therefore, it is necessary to have tools that can carry out quick, reliable and low-cost assessment surveys. This paper aims at validating the use of innovative and low-cost technologies for road pavement analysis, assessing their potentialities for improving the automation and reliability of distress detection. A Structure from Motion (SfM) technique is analyzed at different alt…

Computer science0211 other engineering and technologies02 engineering and technologyRoad pavement distresseTransport engineering021105 building & construction11. Sustainability0202 electrical engineering electronic engineering information engineeringStructure from motionSettore ICAR/04 - Strade Ferrovie Ed AeroportiReliability (statistics)Civil and Structural Engineeringbusiness.industryStructure from motion3D reconstructionLow-cost technologiePavement managementBuilding and ConstructionAutomationDistress3D modelsPavement managementControl and Systems Engineering020201 artificial intelligence & image processingMetric (unit)businessImage basedAutomation in Construction
researchProduct

Constitutive Models for the Tensile Behaviour of TRM Materials: Literature Review and Experimental Verification

2021

In recent years, the scientific community has focused its interest on innovative inorganic matrix composite materials, namely TRM (Textile Reinforced Mortar). This class of materials satisfies the need of retrofitting existing masonry buildings, by keeping the compatibility with the substrate. Different recent studies were addressed to improve the knowledge on their mechanical behaviour and some theoretical models were proposed for predicting the tensile response of TRM strips. However, this task is complex due to the heterogeneity of the constituent materials and the stress transfer mechanism developed between matrix and fabric through the interface in the cracked stage. This paper present…

Computer science0211 other engineering and technologies02 engineering and technologylcsh:TechnologyArticleTextile Reinforced Mortar (TRM)Strengthening Tensile behaviour Textile Reinforced Mortar (TRM)Stress (mechanics)021105 building & constructionUltimate tensile strengthRetrofittingGeneral Materials Sciencelcsh:Microscopytensile behaviourReliability (statistics)lcsh:QC120-168.85lcsh:QH201-278.5business.industrylcsh:TStructural engineeringMasonry021001 nanoscience & nanotechnologySettore ICAR/09 - Tecnica Delle CostruzioniTensile behaviorlcsh:TA1-2040Compatibility (mechanics)strengtheninglcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineeringMortar0210 nano-technologybusinesslcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971Materials
researchProduct

Towards More Sustainable Pavement Management Practices Using Embedded Sensor Technologies

2019

Road agencies are constantly being placed in difficult situations when making road maintenance and rehabilitation decisions as a result of diminishing road budgets and mounting environmental concerns for any chosen strategies. This has led practitioners to seek out new alternative and innovative ways of monitoring road conditions and planning maintenance routines. This paper considers the use of innovative piezo-floating gate (PFG) sensors and conventional strain gauges to continuously monitor the pavement condition and subsequently trigger maintenance activities. These technologies can help develop optimized maintenance strategies as opposed to traditional ad-hoc approaches, which often le…

Computer science0211 other engineering and technologies02 engineering and technologylcsh:Technologyenvironmental impactMaintenance systempiezoelectric sensoraccelerated pavement testinglife cycle assessmentRoad networks021105 building & construction0502 economics and businessembedded sensorSettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials ScienceEnvironmental impact assessmentLife-cycle assessmentCivil and Structural EngineeringPavement management system050210 logistics & transportationAccelerated pavement testinglcsh:T05 social sciencesPavement managementembedded sensorsBuilding and ConstructionGeotechnical Engineering and Engineering GeologyComputer Science ApplicationsWorkflowpiezoelectric sensorsRisk analysis (engineering)Infrastructures
researchProduct

Quantitative assessment of the parameters linked to the blending between reclaimed asphalt binder and recycling agent: A literature review

2020

Abstract The lack of understanding the mechanisms governing the interaction between reclaimed asphalt binder (RAb) 1 and recycling agents is one of the technical issues that still need to be resolved when high amount of reclaimed asphalt (RA) 2 is used in a new recycled asphalt mixture (RAM). Due to important role of RAb in that interaction and increased used of RA, it becomes necessary to have a way to classify RA, as any other material used in asphalt mixture production. It is very important to determine how much RAb is active by itself (DoA) 3 , but also to determine how much RAb can be considered available for a mix design of RAM (DoAv) 4 when a recycling agent is used. Finally, since t…

Computer science0211 other engineering and technologies020101 civil engineering02 engineering and technologyMix designReclaimed asphalt pavement12. Responsible consumption0201 civil engineeringAsphalt pavementWarm mix asphalt021105 building & constructionQuantitative assessmentDegree of binder activityGeneral Materials ScienceProcess engineeringDegree of binder availabilityDegree of blendingCivil and Structural EngineeringDegree of binder activity; Degree of binder availability; Degree of blending; Hot mix asphalt; Reclaimed asphalt pavement; Recycled asphalt mixture; Warm mix asphaltRecycled asphalt mixturebusiness.industryBuilding and ConstructionHot mix asphaltAsphaltbusiness
researchProduct

Recommendation of RILEM TC237-SIB on cohesion test of recycled asphalt

2018

This recommendation describes how to evaluate the presence of potentially active bitumen in recycled asphalt (RA) materials through the cohesion test. The experimental protocol is designed according to the research performed by the RILEM Technical Committee 237-SIB ‘‘Testing and characterization of sustainable innovative bituminous materials and systems’’ with the purpose, to develop a new, simple and fast method for the characterization of RA while limiting the need for conventional rheological tests. The guidelines in this recommendation focus on the testing procedure including specimen preparation, data analysis and provide information on the preparation of a tests report.

Computer science0211 other engineering and technologiesRecycled asphalt02 engineering and technologyReclaimed Asphalt (RA)Construction engineering021105 building & construction0502 economics and businessRecycled asphalt cohesion testingSettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials ScienceTechnical committeeCivil and Structural EngineeringProtocol (science)050210 logistics & transportation05 social sciencesBuilding and ConstructionLimitingBituminous materialstestingTest (assessment)cohesionMechanics of MaterialsAsphaltRound Robin Test (RRT)Cohesion (chemistry)Specimen preparationFragmentation Test
researchProduct

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
researchProduct

Compression-based classification of biological sequences and structures via the Universal Similarity Metric: experimental assessment.

2007

Abstract Background Similarity of sequences is a key mathematical notion for Classification and Phylogenetic studies in Biology. It is currently primarily handled using alignments. However, the alignment methods seem inadequate for post-genomic studies since they do not scale well with data set size and they seem to be confined only to genomic and proteomic sequences. Therefore, alignment-free similarity measures are actively pursued. Among those, USM (Universal Similarity Metric) has gained prominence. It is based on the deep theory of Kolmogorov Complexity and universality is its most novel striking feature. Since it can only be approximated via data compression, USM is a methodology rath…

Computer scienceAlgorismesPrediction by partial matchingCompression dissimilaritycomputer.software_genreBiochemistryProtein Structure SecondaryPhylogenetic studiesStructural BiologySequence Analysis ProteinDatabases Proteinlcsh:QH301-705.5Biological dataNCDApplied MathematicsGenomicsClassificationCDComputer Science ApplicationsBenchmarking:Informàtica::Informàtica teòrica [Àrees temàtiques de la UPC]Universal compression dissimilarityArea Under CurveMetric (mathematics)lcsh:R858-859.7Data miningAlgorithmsData compressionResearch Article:Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]Normalization (statistics)lcsh:Computer applications to medicine. Medical informaticsBioinformatics Sequence Alignment AlgorithmsSet (abstract data type)Similarity (network science)Normalized compression sissimilarityData compression (Computer science)AnimalsHumansAmino Acid SequenceMolecular BiologyBiologyDades -- Compressió (Informàtica)USMUniversal similarity metricProteinsUCDProtein Structure TertiaryData setGenòmicaStatistical classificationlcsh:Biology (General)ROC CurvecomputerSequence AlignmentSoftwareBMC bioinformatics
researchProduct