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        Numerical formulation solid-layer finite element to simulate reinforced concrete structures strengthened by over-coating

        Arturo Suarez-Suarez,Norberto Dominguez-Ramirez,Orlando Susarrey-Huerta Techno-Press 2023 Coupled systems mechanics Vol.12 No.6

        Over-coating is one of the most popular engineering practices to strengthen Reinforced Concrete (RC) structures, due to the relative quickness and ease of construction. It consists of an external coat bonded to the outer surface of the structural RC element, either by the use of chemical adhesives, mechanical anchor bolts or simply mortar injection. In contrast to these constructive advantages, the numerical estimation of the bearing capacity of the strengthened reinforced concrete element is still complicated, not only for the complexity of modelling a flexible membrane or plate attached to a quasi-rigid solid, but also for the difficulties that raise of simulating any potential delamination between both materials. For these reasons, the standard engineering calculations used in the practice remain very approximated and clumsy. In this work, we propose the formulation of a new 2D solid-layer finite element capable to link a solid body with a flexible thin layer, as it were the "skin" of the body, allowing the potential delamination between both materials. In numerical terms, this "skin" element is intended to work as a transitional region between a solid body (modelled with a classical formulation of a standard quadrilateral four-nodes element) and a flexible coat layer (modelled with cubic beam element), dealing with the incompatibility of Degrees-OfFreedom between them (two DOF for the solid and three DOF for the beam). The aim of the solid-layer element is to simplify the mesh construction of the strengthened RC element being aware of two aspects: a) to prevent the inappropriate use of very small solid elements to simulate the coat; b) to improve the numerical estimation of the real bearing capacity of the strengthened element when the coat is attached or detached from the solid body.

      • Viscoelastic behavior of concrete structures subject to earthquake

        Mejia-Nava, Rosa Adela,Ibrahimbegovic, Adnan,Dominguez-Ramirez, Norberto,Flores-Mendez, Esteban Techno-Press 2021 Coupled systems mechanics Vol.10 No.3

        This paper investigates an alternative way to the Raleigh formula to catch con- tributions of damping effects. Nowadays, thanks to the power of new software and effi- cient computational methods, there exist possibility to implement new analysis of damping through multiscale approach. The corresponding homogenization of a representative elemen-tal volume of concrete is used to calculate the effective properties of the composite, since energy dissipation properties such as viscoelasticity are not taken into account. At the end of this work, these methodologies are incorporated into a column of a building subject to seismic action. More precisely, with concrete as a composite material (aggregate+cement), we can use homogenization methods to calculate its effective properties by using the classical approach of a representative elemental volume. This can help to take into account properties of energy dissipation, such as produced by viscoelasticity. Finally, for illustration, the pro- posed methodology is applied to structural analysis of a column under the most unfavorable conditions in a building subject to earthquake action.

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        Potential influence of κ-casein and β-lactoglobulin genes in genetic association studies of milk quality traits

        Jose Luis Zepeda-Batista,Luis Antonio Saavedra-Jimenez,Agustin Ruiz-Flores,Rafael Nunez-Dominguez,Rodolfo Ramirez-Valverde 아세아·태평양축산학회 2017 Animal Bioscience Vol.30 No.12

        Objective: From a review of published information on genetic association studies, a meta-analysis was conducted to determine the influence of the genes κ-casein (CSN3) and β-lactoglobulin (LGB) on milk yield traits in Holstein, Jersey, Brown Swiss, and Fleckvieh. Methods: The GLIMMIX procedure was used to analyze milk production and percentage of protein and fat in milk. Models included the main effects and all their possible two-way interactions; not estimable effects and non-significant (p>0.05) two-way interactions were dropped from the models. The three traits analyzed used Poisson distribution and a log link function and were determined with the Interactive Data Analysis of SAS software. Least square means and multiple mean comparisons were obtained and performed for significant main effects and their interactions (p<0.0255). Results: Interaction of breed by gene showed that Holstein and Fleckvieh were the breeds on which CSN3 (6.01%±0.19% and 5.98%±0.22%), and LGB (6.02%±0.19% and 5.70%±0.22%) have the greatest influence. Interaction of breed by genotype nested in the analyzed gene indicated that Holstein and Jersey showed greater influence of the CSN3 AA genotype, 6.04%±0.22% and 5.59%±0.31% than the other genotypes, while LGB AA genotype had the largest influence on the traits analyzed, 6.05%±0.20% and 5.60%±0.19%, respectively. Furthermore, interaction of type of statistical model by genotype nested in the analyzed gene indicated that CSN3 and LGB genes had similar behavior, maintaining a difference of more than 7% across analyzed genotypes. These results could indicate that both Holstein and Jersey have had lower substitution allele effect in selection programs that include CSN3 and LGB genes than Brown Swiss and Fleckvieh. Conclusion: Breed determined which genotypes had the greatest association with analyzed traits. The mixed model based in Bayesian or Ridge Regression was the best alternative to analyze CSN3 and LGB gene effects on milk yield and protein and fat percentages.

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