Research on the interaction between slabs and subsoil involves the field of materials engineering, concrete structures, and geotechnics. In the vast majority of cases, research focuses on only one of these areas, whereas for advanced study and computer simulations, detailed knowledge of the whole task is required. Among the new knowledge and information upon which this article focuses is the evaluation of subsoil stress using specialized pressure cells, along with detailed measurements of the deformation of a fiber-reinforced concrete slab. From a design point of view, this research is focused on the issue of the center of the cross section and the influence of eccentricity. Knowledge in this area is not yet comprehensively available for fiber-reinforced concrete slabs, where 2D deformation sections of the slab and 3D deformation surfaces of the slab are used in experiments. The experimental program includes a centrically and eccentrically loaded slab. These are structural elements that were tested on a specialized device. Both slabs had the same concrete recipe, with a dispersed reinforcement content of 25 kg/m. The dimensions of the slab were 2000 × 2000 × 150 mm. Laboratory tests assessed compressive strength, the modulus of elasticity, splitting tensile strength, and bending tensile strength. Based on approximate data from the 3D deformation surfaces, an evaluation of the load-displacement diagrams for the center of the slab and for the center of eccentricity was performed. In conclusion, an overall evaluation and discussion of the results relies on experiments and the mechanical properties of fiber-reinforced concrete.
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http://dx.doi.org/10.3390/ma14237152 | DOI Listing |
Heliyon
December 2024
School of Civil and Architectural Engineering, Anyang institute of technology, Anyang, 454003, China.
To enhance the carbonation resistance of reclaimed concrete, several key factors affecting its performance were investigated. An orthogonal array (4³ × 2⁶) was employed to design the carbonation tests for steel fiber (SF) reinforced concrete. The study included varying SF volume ratios, along with considerations of different concrete ages (T) and water-cement ratios (W/R).
View Article and Find Full Text PDFMaterials (Basel)
November 2024
State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China.
This study systematically investigates the mechanical properties of plain concrete (PC) and 2% steel fiber reinforced concrete (SFRC) under both static and dynamic loading conditions, utilizing advanced mechanical testing equipment and dynamic impact testing methods. The strain rate range studied spans from 10 s to 483.12 s.
View Article and Find Full Text PDFPolymers (Basel)
December 2024
College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China.
In this study, the properties of ultra-high-performance concrete (UHPC) were enhanced by adding modified polyvinyl alcohol (PVA) fibers. The specimens with different curing ages were evaluated in various aspects to investigate the effects of different dosages, lengths, and surface treatments of PVA fibers on the performance of UHPC. The performance was compared with that of steel fiber-reinforced UHPC with the same ratio and multiple dosages.
View Article and Find Full Text PDFHeliyon
January 2024
Department of Civil Engineering, National Institute of Technology Patna, India.
Nowadays, due to the structural advantages gained by combining three different materials' properties, columns made of carbon-fiber reinforced polymer (CFRP)-confined concrete with inner steel tube have received researchers' interest. This article presents the nonlinear finite element analysis and multiple machine learning (ML) model-based study on the behavior of round corner rectangular CFRP-confined concrete short columns reinforced by the inner high-strength elliptical steel tube under the axial load. The reliability of the proposed nonlinear finite element model was verified against the existing experimental investigations.
View Article and Find Full Text PDFHeliyon
June 2024
School of Electrical Engineering and Automation, Anhui University, Hefei 230601, PR China.
In order to find a simple method to study the effect of basalt fibers on the mechanical properties of concrete when incorporated into concrete, machine learning is introduced in this work on an experimental basis. The basalt fiber-reinforced concrete (BFRC) specimens were fabricated through independent processing, and the compression tests under different stress states were conducted on the BFRC specimens with different fiber compositions using the MTS816 rock testing system. After obtaining the experimental dataset with the four influencing factors of fiber volume fraction, fiber length, circumferential pressure and strain as input variables and stress as output variable, the BFRC prediction model was established based on extreme gradient boosting, support vector machine, K-nearest neighbor, and Particle Swarm Optimization K-Nearest Neighbor (PSO-KNN) algorithms; Then the predicted fitting results of the training set and test set are analyzed according to the relevant evaluation indexes, and the data indexes indicate that the PSO-KNN model has the best prediction performance, and the PSO-KNN model is used to predict the stress-strain fitting curves of BFRC, and finally the parameter contribution is analyzed based on the information of the curves.
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