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Application of Neural Networks for the Estimation of the Shear Strength of Circular RC Columns
Tác giả: Viet-Chuong Ho, Tien-Hong Nguyen, Thi-Quynh Nguyen, Duy-Duan Nguyen
387    1
Engineering, Technology & Applied Science Research
Quyển: 12(6)     Trang: 9409-9413
Đường link/DOI: https://doi.org/10.48084/etasr.5245
Năm xuất bản: 12/2022
Cùng tác giả
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and fragility of nuclear power plant structuresBending strength diagnosis for corroded reinforced concrete beams with attendance of deterministic, random and fuzzy parametersSeismic fragility analysis of reinforced concrete piers of steel box girder bridges: A parametric studyInfluence of Squeezing Rate on Yield Stress and Viscosity of Fresh MortarA Site-Specific Response Analysis: A Case Study in Hanoi, VietnamEfficiency of flexural strengthening RC beams using fiber reinforced polymer materialsNonlinear seismic soil-structure interaction analysis of nuclear reactor building considering the effect of earthquake frequency contentReliability Assessment of Steel-Concrete Composite Beams considering Metal Corrosion EffectsA calibration of the material model for FRCPractical artificial neural network tool for predicting the axial compression capacity of circular concrete-filled steel tube columns with ultra-high-strength concreteIdentification of parameters in the crystal plasticity model for non-irradiated and irradiated A508 bainite steelEvaluation of loading capacity of corroded reinforced concrete beams using experiment and finite element methodEfficient earthquake intensity measure for seismic vulnerability of integral abutment bridgesSeismic performance evaluation of responses of NPP structure considering different numerical modelings and frequency contents of earthquakesDamage analysis of cut-and-cover tunnel structures under seismic loadingSeismic Fragilities of Bridges and Transmission Towers Considering Recorded Ground Motions in South KoreaPrediction of Critical Buckling Load of Web Tapered I‑Section Steel Columns Using Artificial Neural NetworksOptimal earthquake intensity measures for probabilistic seismic demand models of ARP1400 reactor containment buildingA machine learning-based formulation for predicting shear capacity of squat flanged RC wallsOptimal Earthquake Intensity Measures for Probabilistic Seismic Demand Models of Base-Isolated Nuclear Power Plant StructuresEvaluation of Seismic Site Amplification Using 1D Site Response Analyses at Ba Dinh Square Area, VietnamEfficiency of various structural modeling schemes on evaluating seismic performance and fragility of APR1400 containment buildingCalibrating the K&C Material Model for Fiber Reinforced Concrete StructuresDevelopment of fragility curves for underground box tunnels from nonlinear frame analysisEffects of mechanical properties of LRB on seismic performance of base-isolated NPP structuresSeismic failure mechanism of shallow cut-and-cover tunnelsCorrelation Between Seismic Intensity Measures and Response of Skewed BridgesSeismic Performance Evaluation of Integral Bridges Considering Soil-Structure InteractionPrediction of Axial Compression Capacity of Cold-Formed Steel Oval Hollow Section Columns Using ANN and ANFIS ModelsExperimental Study on Strengthening of Corroded RC Beams with High-Performance Steel Fiber Mortar and Normal ReinforcementsThuật toán học máy và ứng dụng 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to seismic loadingPatch loading resistance prediction of steel plate girders using a deep artificial neural network and an interior-point algorithmReliability evaluation of 2D semi-rigid steel frames accounting for corrosion effectsSeismic performance evaluation of reactor containment building considering effects of concrete material models and prestressing forcesDự báo khả năng kháng cắt của vách ngắn bê tông cốt thép chữ nhật sử dụng mô hình mạng thần kinh nhân tạoImproving axial load-carrying capacity prediction of concrete columns reinforced with longitudinal FRP bars using hybrid GA-ANN modelPrediction of shear capacity of RC beams strengthened with FRCM composite using hybrid ANN-PSO modelGBRT-based model for predicting the axial load capacity of the CFS-SOHS columnsApplication of ANFIS to the design of elliptical CFST columnsSeismic displacement prediction of retaining walls upon deep excavations in HanoiEfficient hybrid machine learning model for calculating load-bearing 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resistance and bending stiffness of the steel column base plate considering metal corrosion using GA-ANN modelCorrelation Analysis Between Seismic Response of Primary Auxiliary Building and Ground Motion Intensity Measures