0000000000141222

AUTHOR

Constantinos C. Repapis

showing 4 related works from this author

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
researchProduct

Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete

2022

Reinforced concrete bond strength deterioration is one of the most serious problems in the construction industry. It is one of the most common factors impacting structural deterioration and the major cause of premature decadence of reinforced concrete structures. Therefore, developing an accurate model with the lowest variance and high reliability for the bond strength of corroded reinforced concrete is very important. The current work evaluates the efficiency of convolution-based ensemble learning algorithms. To address these issues, convolution-based ensemble learning models are developed using a database collected from the previous experimental studies of relative bond strength for corro…

Bond strengthCorrosionEnsemble algorithmsSettore ICAR/09 - Tecnica Delle CostruzioniPull-out testCorroded reinforced concreteGeneral Materials ScienceBuilding and ConstructionDeep learning modelCivil and Structural Engineering
researchProduct

Parameters affecting the fundamental period of infilled RC frame structures

2015

Despite the fact that the fundamental period appears to be one of the most critical parameters for the seismic design of structures according to the modal superposition method, the so far available in the literature proposals for its estimation are often conflicting with each other making their use uncertain. Furthermore, the majority of these proposals do not take into account the presence of infills 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 numerical value. Toward this end, this paper presents a detailed and in-depth analytical investigation on the parameters that affect…

Reinforced concrete buildingEngineeringInfilled framesReinforced concrete buildingsInfill wallbusiness.industryModal analysisModal analysisStructure (category theory)StiffnessStructural engineeringMasonrySpan (engineering)Modal analysiSeismic analysisFundamental periodInfillmedicineGeotechnical engineeringmedicine.symptombusinessFundamental period; Infilled frames; Masonry; Modal analysis; Reinforced concrete buildings; Civil and Structural EngineeringMasonryInfilled frameCivil and Structural Engineering
researchProduct

Fundamental period of infilled reinforced concrete frame structures

2016

AbstractThe fundamental period of vibration appears to be one of the most critical parameters for the seismic design and assessment of structures. In the present paper, the results of a large-scale analytical investigation on the parameters that affect the fundamental period of reinforced concrete structures are presented. The influence of the number of storeys, the number of spans, the span length, the infill wall panel stiffness and the percentage of openings within the infill panel on the fundamental period of infilled RC frames was investigated. Based on these results, a regression analysis is applied in order to propose a new empirical equation for the estimation of the fundamental per…

EngineeringInfill wallModal analysis0211 other engineering and technologies020101 civil engineeringOcean Engineering02 engineering and technologyreinforced concrete frame buildingSpan (engineering)0201 civil engineeringSeismic analysisregression analysiFundamental periodmedicineInfillGeotechnical engineeringSafety Risk Reliability and QualityCivil and Structural Engineering021110 strategic defence & security studiesmodal analysibusiness.industryinfilled frameMechanical EngineeringStiffnessStructural engineeringBuilding and ConstructionMasonryGeotechnical Engineering and Engineering GeologyVibrationSettore ICAR/09 - Tecnica Delle Costruzionimasonrymedicine.symptombusiness
researchProduct