Verduzco Martinez 2022a - Revision history

Lfvm94 at 14:47, 7 March 2026

2026-03-07T14:47:25Z

Lfvm94: Lfvm94 moved page Draft Verduzco Martinez 251994759 to Verduzco Martinez 2022a

2026-03-07T14:45:38Z

Lfvm94 moved page Draft Verduzco Martinez 251994759 to Verduzco Martinez 2022a

Lfvm94: Created page with " == Abstract ==

It is presented the development and implementation of a n..."

2026-03-07T14:45:36Z

Created page with " == Abstract == <div style="color: #d4d4d4; background-color: #1e1e1e; font-weight: normal; font-size: 14px;"> <div>It is presented the development and implementation of a n..."

New page

== Abstract ==

<div style="color: #d4d4d4; background-color: #1e1e1e; font-weight: normal; font-size: 14px;">
<div>It is presented the development and implementation of a new computed aided learning MatLab Toolbox for the design of reinforced concrete structures named as CALRECOD for their abbreviation \textit{<span style="font-style: italic;">Computer Aided Learning of Reinforced Concrete Design</span>}. Such development emerges as the result of a series of research works in the Autonomous University of Queretaro with the main purpose of improving the way in which the design of reinforced concrete structures is taught in high education institutions. CALRECOD uses optimization methods and algorithms to aid students in their design interaction learning so that they are able to compare their own designs and what commercial software delivers with optimal ones given certain load conditions on the elements or structures. The software consists almost entirely of MatLab functions (.m files) and the ACI 318-19 code is taken as their main design reference to make it internationally useful, although in some cases the Mexican code NTC-17 specifications are used. Besides MatLab functions, the software consists as well of ANSYS SpaceClaim script functions (.scscript files) as an additional tool for the aid in the visualization of design results in a 3D space in the software ANSYS SpaceClaim. CALRECOD has proven to be versatile, flexible and of easy use with a huge potential to increase learning outcomes for students in high education programs related with the design of reinforced concrete structures as well as to enhance the creation of efficient interactive environments for researchers and academics focused on the development of new design and analysis methods for such structures. With their optimization design functions, a solid comparison platform of designs' performance could be laid out and with its extended function design packages for structural systems, reinforced concrete design courses could be enhanced in a great deal regarding their program content's scope. The software can be found at:{<span>https://github.com/calrecod/CALRECOD</span></div>
</div>

== Document ==
<pdf>Media:Draft_Verduzco Martinez_251994759-1730-document.pdf</pdf>

@@ Line 2: / Line 2: @@
 == Abstract ==
-<div style="color: #d4d4d4; background-color: #1e1e1e; font-weight: normal; font-size: 14px;">
+It is presented the development and implementation of a new computed aided learning MatLab Toolbox for the design of reinforced concrete structures named as CALRECOD for their abbreviation \textit{<span style="font-style: italic;">Computer Aided Learning of Reinforced Concrete Design</span>}. Such development emerges as the result of a series of research works in the Autonomous University of Queretaro with the main purpose of improving the way in which the design of reinforced concrete structures is taught in high education institutions. CALRECOD uses optimization methods and algorithms to aid students in their design interaction learning so that they are able to compare their own designs and what commercial software delivers with optimal ones given certain load conditions on the elements or structures. The software consists almost entirely of MatLab functions (.m files) and the ACI 318-19 code is taken as their main design reference to make it internationally useful, although in some cases the Mexican code NTC-17 specifications are used. Besides MatLab functions, the software consists as well of ANSYS SpaceClaim script functions (.scscript files) as an additional tool for the aid in the visualization of design results in a 3D space in the software ANSYS SpaceClaim. CALRECOD has proven to be versatile, flexible and of easy use with a huge potential to increase learning outcomes for students in high education programs related with the design of reinforced concrete structures as well as to enhance the creation of efficient interactive environments for researchers and academics focused on the development of new design and analysis methods for such structures. With their optimization design functions, a solid comparison platform of designs&#39; performance could be laid out and with its extended function design packages for structural systems, reinforced concrete design courses could be enhanced in a great deal regarding their program content's scope. The software can be found at: https://github.com/calrecod/CALRECOD
-<div>It is presented the development and implementation of a new computed aided learning MatLab Toolbox for the design of reinforced concrete structures named as CALRECOD for their abbreviation \textit{<span style="font-style: italic;">Computer Aided Learning of Reinforced Concrete Design</span>}. Such development emerges as the result of a series of research works in the Autonomous University of Queretaro with the main purpose of improving the way in which the design of reinforced concrete structures is taught in high education institutions. CALRECOD uses optimization methods and algorithms to aid students in their design interaction learning so that they are able to compare their own designs and what commercial software delivers with optimal ones given certain load conditions on the elements or structures. The software consists almost entirely of MatLab functions (.m files) and the ACI 318-19 code is taken as their main design reference to make it internationally useful, although in some cases the Mexican code NTC-17 specifications are used. Besides MatLab functions, the software consists as well of ANSYS SpaceClaim script functions (.scscript files) as an additional tool for the aid in the visualization of design results in a 3D space in the software ANSYS SpaceClaim. CALRECOD has proven to be versatile, flexible and of easy use with a huge potential to increase learning outcomes for students in high education programs related with the design of reinforced concrete structures as well as to enhance the creation of efficient interactive environments for researchers and academics focused on the development of new design and analysis methods for such structures. With their optimization design functions, a solid comparison platform of designs&#39; performance could be laid out and with its extended function design packages for structural systems, reinforced concrete design courses could be enhanced in a great deal regarding their program content&#39;s scope. The software can be found at:{<span>https://github.com/calrecod/CALRECOD</span></div>
-</div>
-−
-−
 == Document ==
 <pdf>Media:Draft_Verduzco Martinez_251994759-1730-document.pdf</pdf>

← Older revision	Revision as of 14:45, 7 March 2026
(No difference)

Verduzco Martinez 2022a - Revision history

Lfvm94 at 14:47, 7 March 2026

Lfvm94: Lfvm94 moved page Draft Verduzco Martinez 251994759 to Verduzco Martinez 2022a

Lfvm94: Created page with " == Abstract == It is presented the development and implementation of a n..."

Lfvm94: Created page with " == Abstract ==

It is presented the development and implementation of a n..."