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Machine learning models for predicting the axial compression capacity of cold‑formed steel elliptical hollow section columns
Authors: Trong‑Ha Nguyen, Duc‑Xuan Nguyen, Thanh‑Tung Thi Nguyen,Van‑Long Phan, Duy‑Duan Nguyen
100    0
Asian Journal of Civil Engineering
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Publishing year: 9/2023
Synthetic and evaluation of design and construction solution for high-rise building's basementThe steel frame capacity design process takes into account the random factor of the calculation parametersCALCULTE REINFORCED CONCRETE SLAB WITH MULTIPLE BEAMS ACCORDING TO AQUIVALENT SLAB VIEWPOINTAnti-sway of crane's cable by damping control of semi-active damperIndentation for investigation of strain rate effect on mechanical properties in structural steel weld zoneSTUDY THE PROCEDURE OF COMPENSATION OF DIFFERENTIAL SHORTENING FOR SUPER-HIGHRISE BUILDINGS BY THE METHOD OF MOVING OPTIMAL COMPENSATION FOR CONSTRUCTION PROJECTS IN VIETNAMCorrelation Analysis of Earthquake Intensity Measures and Engineering Demand Parameters of Reactor Containment StructureThe Feasibility of Applying Waste Concrete as Coarse Aggregates in New ConcreteStudy the procedure of compensation of differential shortening for super-high-rise buildings by the method of moving optimal compensation for construction projects in Vietnam Prediction of the cbl of the SDTC with tubular cross-section using Rayleigh-Ritz methodEfficient prediction of axial load-bearing capacity of concrete columns reinforced with FRP bars using GBRT model