Optimization of Reinforced Concrete Beams for Rectangular Sections with Numerical Experiments

Rojas, Arnulfo Luévanos; Chavarría, Sandra López; Elizondo, Manuel Medina

doi:10.13053/cys-22-2-2542

Cited by 4 publications

(2 citation statements)

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“…The number of people at the same time must be carefully analyzed to avoid problems both with the spacing and recreation of the people, and not to affect the group of plant species in it. In our model, 27 different species were chosen, which may exist between them [15]. Another future work is to collect samples of 77 buildings and contemplate those that are under construction or as it is also known as "projection" since these present characteristics that incorporate the category of intelligent buildings, resistant to earthquakes, fires, and with new loads such as the installation of solar panels and intelligent control system.…”

Section: Discussionmentioning

confidence: 99%

“…When a layer of normal-weight mortar is placed on a pre-cast or pre-cast slab, the calculated weight of this layer will also increase by 0.2 KN / m² (20 kg / m²) so that the total increase will be 0.4 KN / m² (40 kg / m²) [3]. The value of the resistance of concrete from de f´c=250 kg/cm 2 [15] is used for slabs and columns of houses, social centers and schools. As well as the concrete with f´c=350 kg/cm 2 is used for slabs and columns of buildings [10].…”

Section: Dead Weight Of Concrete Slabsmentioning

confidence: 99%

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Modeling a Roof Garden to Buildings in a Smart City using Equation Weight for Calculation of Distribution of Load Live and Weight Maximum on a Roof Top

Torres¹,

Ochoa-Zezzatti²,

Aguilar³

et al. 2019

RCS

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This research presents an intelligent model related with the modeling of a roof garden in buildings in the center of the country of Mexico and, in general, the buildings are located in Mexican national territory, taking in consideration the legislation in such delimitation. We analyze the behavior and features of a roof slab from the point of view of the constructive conception that was designed to complete the building and that does not have the specifications of a slab of mezzanine that from the beginning are established in the calculation memory of the construction. For that reason, it is important to determine the optimal parameters for the development of the roof garden and thus begin to transform the cities with the characteristics and conditions to be a smart city. The intent of the present research is to apply mathematical tools, computational as well as artificial intelligence software for roof garden modeling, based on a mathematical model that allows to integrate the dead load to live load, and the specific weights of the dry stratum and the wet stratum since the use of smart farming is incorporated in the roof top design.

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Section: Discussionmentioning

confidence: 99%

Section: Dead Weight Of Concrete Slabsmentioning

confidence: 99%

Modeling a Roof Garden to Buildings in a Smart City using Equation Weight for Calculation of Distribution of Load Live and Weight Maximum on a Roof Top

Torres¹,

Ochoa-Zezzatti²,

Aguilar³

et al. 2019

RCS

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Computer tool with intelligent behavior for the optimal preliminary design in non-braced structural steel frame

Duque

Villarreal²,

A³

2022

Heliyon

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Optimization of structural elements in highly seismic areas using neural networks

Arana

Sánchez

Vidal

2021

IOP Conf. Ser.: Mater. Sci. Eng.

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The aim of this research is to use Artificial Neural Networks (ANN) to dimension structural elements in regular 6-storey buildings. The necessary data for the training of the algorithm was elaborated manually with the help of the ETABS software, these were 30 buildings of reinforced concrete with a system of structural walls. The configuration and training of the neural network was carried out in the MATLAB software. The validation was carried out in an additional analyzed building in which the concrete savings were calculated, and the requirements of the current regulations were verified. Finally, the dimensioning obtained with the neural network generated a reduction of more than 10% in the total volume of concrete used in a 6-level building and establishes that the algorithm used provides effective results for an optimal design.

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Optimization of Reinforced Concrete Beams for Rectangular Sections with Numerical Experiments

Cited by 4 publications

References 0 publications

Modeling a Roof Garden to Buildings in a Smart City using Equation Weight for Calculation of Distribution of Load Live and Weight Maximum on a Roof Top

Modeling a Roof Garden to Buildings in a Smart City using Equation Weight for Calculation of Distribution of Load Live and Weight Maximum on a Roof Top

Computer tool with intelligent behavior for the optimal preliminary design in non-braced structural steel frame

Optimization of structural elements in highly seismic areas using neural networks

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