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The design of retaining walls follows a classic structure. The engineer proposes certain dimensions that will be modified until they comply with the regulatory and site restrictions presented by the project. This is an iterative process that can be optimized through a new method called generative design. The designer codes the characteristics and restrictions of the project so that the system creates the most appropriate solutions to the problem presented. In this research, a computer program was created to build the dimensions of retaining walls using generative design. For this purpose, Design Science Research (DSR) was used, complemented with the incremental software development method. A program that delivers multiple retaining wall design alternatives in a short time was constructed. The evaluation of this program was performed through usability tests, giving as main perceptions the program’s ease of use and the time savings concerning the traditional design.
Gabriel Díaz; Rodrigo F. Herrera; Felipe Muñoz-La Rivera; Edison Atencio. Generative Design for Dimensioning of Retaining Walls. Mathematics 2021, 9, 1918 .
AMA StyleGabriel Díaz, Rodrigo F. Herrera, Felipe Muñoz-La Rivera, Edison Atencio. Generative Design for Dimensioning of Retaining Walls. Mathematics. 2021; 9 (16):1918.
Chicago/Turabian StyleGabriel Díaz; Rodrigo F. Herrera; Felipe Muñoz-La Rivera; Edison Atencio. 2021. "Generative Design for Dimensioning of Retaining Walls." Mathematics 9, no. 16: 1918.
The physical progress of a construction project is monitored by an inspector responsible for verifying and backing up progress information, usually through site photography. Progress monitoring has improved, thanks to advances in image acquisition, computer vision, and the development of unmanned aerial vehicles (UAVs). However, no comprehensive and simple methodology exists to guide practitioners and facilitate the use of these methods. This research provides recommendations for the periodic recording of the physical progress of a construction site through the manual operation of UAVs and the use of point clouds obtained under photogrammetric techniques. The programmed progress is then compared with the actual progress made in a 4D BIM environment. This methodology was applied in the construction of a reinforced concrete residential building. The results showed the methodology is effective for UAV operation in the work site and the use of the photogrammetric visual records for the monitoring of the physical progress and the communication of the work performed to the project stakeholders.
Nicolás Jacob-Loyola; Felipe Muñoz-La Rivera; Rodrigo Herrera; Edison Atencio. Unmanned Aerial Vehicles (UAVs) for Physical Progress Monitoring of Construction. Sensors 2021, 21, 4227 .
AMA StyleNicolás Jacob-Loyola, Felipe Muñoz-La Rivera, Rodrigo Herrera, Edison Atencio. Unmanned Aerial Vehicles (UAVs) for Physical Progress Monitoring of Construction. Sensors. 2021; 21 (12):4227.
Chicago/Turabian StyleNicolás Jacob-Loyola; Felipe Muñoz-La Rivera; Rodrigo Herrera; Edison Atencio. 2021. "Unmanned Aerial Vehicles (UAVs) for Physical Progress Monitoring of Construction." Sensors 21, no. 12: 4227.
Road inspection and maintenance require a large amount of data collection, where the main limiting factor is the time required to cover long stretches of road, having a negative impact on the optimization of the work. This article aims to identify modern tools for road maintenance and analysis. To carry out the research, recent methodologies are used to guide the work in different stages to adequately justify the processes involved. Using unmanned aerial vehicles (UAVs), cameras, and GPS, three-dimensional virtual models are reconstructed, which are useful for extracting the necessary information since they allow for accurate replication of the captured. In this way, it is possible to obtain longitudinal profiles associated with the road, and with it, the international roughness index (IRI) is calculated, which gives results within 0.1 (m/km) of the certified official results, which shows its potential use and development.
Matías Prosser-Contreras; Edison Atencio; Felipe Muñoz La Rivera; Rodrigo F. Herrera. Use of Unmanned Aerial Vehicles (UAVs) and Photogrammetry to Obtain the International Roughness Index (IRI) on Roads. Applied Sciences 2020, 10, 8788 .
AMA StyleMatías Prosser-Contreras, Edison Atencio, Felipe Muñoz La Rivera, Rodrigo F. Herrera. Use of Unmanned Aerial Vehicles (UAVs) and Photogrammetry to Obtain the International Roughness Index (IRI) on Roads. Applied Sciences. 2020; 10 (24):8788.
Chicago/Turabian StyleMatías Prosser-Contreras; Edison Atencio; Felipe Muñoz La Rivera; Rodrigo F. Herrera. 2020. "Use of Unmanned Aerial Vehicles (UAVs) and Photogrammetry to Obtain the International Roughness Index (IRI) on Roads." Applied Sciences 10, no. 24: 8788.
Pavement maintenance seeks to provide optimal service conditions. Before maintenance, it is necessary to know the condition of the pavement by inspection, a crucial step in deciding on the repair to be carried out. In this sense, unmanned aerial vehicles (UAVs) seem to be an economic substitute compared to the ground laser scanner for pavement inspection tasks. This research seeks to develop a method to measure potholes using 3D models generated with photographs acquired by a UAV and process them using a software based on the Structure from Motion-MultiView Stereo (SfM–MVS) technique. The contribution of this document is the proposal of recommendations for the acquisition of photographs for the realization of the models. To develop these recommendations, an experiment was carried out to evaluate the accuracy in the reconstruction of 3D models using images obtained from the variation and combination of flight planning parameters and data capture. Then, to validate these recommendations, a bumpy section of pavement was modeled using the SfM–MVS method. The results show that for heights of 10 and 15 m the use of this methodology is applicable for the measurement of the width and depth of potholes.
Eduardo Romero-Chambi; Simón Villarroel-Quezada; Edison Atencio; Felipe Muñoz-La Rivera. Analysis of Optimal Flight Parameters of Unmanned Aerial Vehicles (UAVs) for Detecting Potholes in Pavements. Applied Sciences 2020, 10, 4157 .
AMA StyleEduardo Romero-Chambi, Simón Villarroel-Quezada, Edison Atencio, Felipe Muñoz-La Rivera. Analysis of Optimal Flight Parameters of Unmanned Aerial Vehicles (UAVs) for Detecting Potholes in Pavements. Applied Sciences. 2020; 10 (12):4157.
Chicago/Turabian StyleEduardo Romero-Chambi; Simón Villarroel-Quezada; Edison Atencio; Felipe Muñoz-La Rivera. 2020. "Analysis of Optimal Flight Parameters of Unmanned Aerial Vehicles (UAVs) for Detecting Potholes in Pavements." Applied Sciences 10, no. 12: 4157.