KHORAMI, MAJID
Preferred name
KHORAMI, MAJID
Main Affiliation
TCEMC - Grupo de Investigación Tecnología de la Construcción, Estructuras y Materiales de Construcción
Web Site
ORCID
0000-0003-4592-0233
Scopus Author ID
57195411779
54 results
Now showing 1 - 10 of 54
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Item type:Publication, Analysis of adaptive e‐learning systems with adjustment of Felder‐Silverman model in a Moodle DLS<jats:title>Abstract</jats:title><jats:p>E‐learning, as a complex system, includes distance learning, teaching materials in various forms and shapes, group and individual learning processes, as well as interactive and tutorial work. To increase the effectiveness and efficiency of the e‐learning system, it is necessary first of all to consider the characteristics of students and their learning styles. Based on the data collected in various ways, in surveys, using the distance learning dystem (DLS) Moodle, based on the subjective assessment of the subject teachers, as well as based on data from the business information system, the student preferences are determined. Then, based on these data, an adaptation is made, a process that adapts the work of the DLS based on student knowledge. The primary goals that can be achieved through the adjustment of the e‐learning system are to improve the design and usefulness of the course, help with finding information on the course, more efficient searching and placement of search results in the context of students' interest, as well as increasing students' loyalty to a higher education institution.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Portland cement structure and its major oxides and fineness(2018) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evaluating the Influence of Hydrophobic Nano-Silica on Cement Mixtures for Corrosion-Resistant Concrete in Green Building and Sustainable Urban Development(MDPI AG, 2023-10-26); Pablo M. Bonilla-Valladares<jats:p>The use of hydrophobic nano-silica particles in concrete for improved corrosion resistance and durability has been explored in recent years, and its potential impact on sustainable urban development and green building practices has been studied. The impact of substituting hydrophobic nano-silica particles for 2% of the cement weight in high-strength concrete mixes was investigated in this research. The study focuses on evaluating the physical-mechanical properties, including compressive strength, tensile strength, modulus of elasticity, and Poisson’s ratio. Additionally, the influence of these mixes on corrosion resistance is examined. The concrete designs feature a high strength of 42 MPa, and the hydrophilic nano-silica particles undergo functionalization processes to obtain hydrophobic properties. Contact angle measurements and water absorption tests confirm the hydrophobicity of the material. Physical, electrochemical, and electrical tests were conducted to determine the corrosion resistance contribution of the nano-silica particles when substituted at 2% of the cement weight. The research findings reveal that concrete containing nano-silica particles demonstrates improved physical-mechanical properties compared to other mixes. Incorporating nano-silica enhances concrete by accelerating hydration, increasing early-age strength, and providing hydrophobicity, resulting in improved physical-mechanical properties over other mixes. However, it was observed that the addition of hydrophobic and non-hydrophobic nano-silica tends to reduce corrosion resistance compared to concrete without these particles, despite exhibiting greater compactness. This suggests a direct influence of nano-silica on the corrosion phenomenon.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Strengthening of bolted shear joints in industrialized ferrocement construction(2018) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, UML diagrams for dynamical monitoring of rail vehicles(Elsevier BV, 2019-10) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Experimental investigations on monotonic and cyclic behavior of steel pallet rack connections(Elsevier BV, 2018-03) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Improving the Self-Healing of Cementitious Materials with a Hydrogel System(MDPI AG, 2022-04-29) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A testing method for studying the serviceability behavior of reinforced UHPFRC tensile ties<jats:title>Abstract</jats:title> <jats:p>Structural control under the serviceability limit state is a requirement of design codes to ensure the durability of structural elements. As it is possible to consider fibers to be reinforcement in concrete, UHPFRC can be used to guarantee properly distributing cracks and limiting crack width in the serviceability limit state. This research presents an experimental testing method for direct tensile tests on UHPFRC specimens. The results obtained from the proposed method, such as the specimen’s average tensile stress-strain curve, tensile stress in concrete, number and width of cracks, can be used to consider the behavior and design requirements of UHPFRC under serviceability conditions.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Simplification analysis of suction pile using two dimensions finite element modeling(2019) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modified couple stress and artificial intelligence examination of nonlinear buckling in porous variable thickness cylinder micro sport structures(Informa UK Limited, 2024-02-29); Tayebeh MahmoudiThis investigation focuses on the nonlinear behavior of porosity-dependent functionally graded (FG) truncated conical small-scale structures. The modified coupled stress theory, as well as the energy method, are applied to generate the nonlinear partial differential equations (PDEs) related to buckling analysis of simply supported nonuniform micro-cylindrical structures. The material dispersion is gradually changed along the length of the structures between the Nickel and concrete, while the porosity voids are scattered in the radial direction, and the external radius of the structure decreases along the length direction via nonlinear mathematic equations applicable in sports structures. The PDEs are numerically solved via the generalized differential quadrature method (GDQM) coupled with the numerical iterative technique. In this particular context, the aim is to predict nonlinear results using a newly developed methodology that employs artificial neural networks (ANNs). The predictions generated by this approach will be compared against previously obtained data and validated to ensure their accuracy and reliability. The ANN methodology is expected to provide a more robust and comprehensive framework for predicting nonlinear results, which would be helpful in a variety of settings, from scientific research to engineering applications.