aalmeida@ulima.edu.pe;aluna@ulima.edu.pe;ljreyes@ulima.edu.pe

Presentación realizada en el webinar: “Investigación y Desarrollo Tecnológico para la Alerta Temprana”, organizado por CISMID-UNI, INDECI, Practical Action, Universidad de Lima e INICTEL-UNI el 26 de enero del 2022.

El video del seminario puede consultarse en el siguiente enlace https://youtu.be/uuu40yKDry4?t=6223. La exposición del autor inicia en 1:44:39.

aalmeida@ulima.edu.pe; mlopezb@ulima.edu.pe; lcaceres@ulima.edu.pe

delsavio@ulima.edu.pe;aluna@ulima.edu.pe;ljreyes@ulima.edu.pe

Enfoca la problemática y consecuencias de la congestión vehicular en Lima Metropolitana.

Cuadro comparativo de diversos tipos de sistemas estructurales de acero, el cual brinda recomendaciones prácticas para el prediseño estructural con indicaciones de dimensiones y materiales.

La calidad del servicio y la calidad de vida de usuarios del transporte, y no la rentabilidad, deben ser los principales objetivos de los poderes públicos. Partiendo de este criterio, el proyecto estudiará la satisfacción de los usuarios en relación con el sistema de transporte existente y su impacto sobre el medio ambiente y la calidad de vida en el distrito de Santiago de Surco.

Artículo presentado en el International Conference on Artificial Intelligence and Energy System (ICAIES-2021) in Virtual Mode, llevada a cabo el 12 y 13 de junio del 2021. Los datos de investigación están disponibles en la siguiente dirección https://doi.org/10.26439/ulima.datasets.13359

The construction industry requires concrete with adequate post-cracking behavior for applications such as tunnels, bridges, and pavements. For this reason, polypropylene macrofibers are used, which are synthetic fibers that fulfill the function of providing residual strength to concrete. In this study, an experimental plan is carried out to evaluate the bending behavior of concrete reinforced with polypropylene fibers using the four-point bending test according to ASTM C1609. Three fiber dosages (3.6, 7.2 and 10.8 kg/m3) and three fiber lengths (40, 50, and 60 mm) were used. The use of macro polypropylene fibers increased the post-cracking behavior of concrete. In addition, based on the experimentally obtained results and available literature data, a multivariable equation was developed to predict the concrete toughness as a function of the volume, slenderness, and modulus of elasticity ...

A manually classified dataset of images obtained by four static cameras located around a construction site is presented. Eight object classes, typically found in a construction environment, were considered. The dataset consists of 1046 images selected from video footage by a frame extraction algorithm and txt files containing the objects' class and coordinates information. These data can be used to develop computer vision techniques in the engineering and construction fields.

Learning-centered models, which rely on active methodologies such as Project-Based Learning (PBL), should be adopted in undergraduate programs to potentiate the development of collaboration skills within future industry professionals like civil engineers. Thus, this study reports the implementation of PBL in two successive Virtual Design and Construction (VDC) courses from an undergraduate civil engineering program: 1) VDC I, in which the VDC methodology implementation was applied theoretically in an already-built project, and 2) VDC II, in which the VDC methodology implementation was applied in a currently-under-construction project. The study's objective is to identify students' perceptions of PBL influence on their learning experience, degree of acquisition of generic competencies, and project development under the VDC methodology. To assess the PBL and VDC implementation, a survey wa...

The Barcelona method was developed as an alternative to other tests for assessing the post-cracking behavior of fiber-reinforced concrete, with the main advantage being that it uses significantly smaller specimens compared to other methods. For this reason, it can provide a solution for characterizing concrete in hard-to-reach constructions such as roads and tunnels. On the other hand, polypropylene (PP) fibers have gained increased attention in recent years within the scientific community due to their high tensile strength and cost-effectiveness. This research aimed to understand the influence of PP fiber volume, slenderness (l/d), and reinforcement index on post-cracking properties of concrete, including toughness and residual strength (f_res ), using the Barcelona method. Three fiber volumes, 0.4%, 0.8%, and 1.2%, and three slenderness ratios, 46.5, 58.1, and 69.8, were employed in no...

En los últimos años se vienen incrementando las “horas punta’’: pasamos de tener 5 horas diarias de tráfico a 9 horas diarias, lo que significa que los limeños están pasando más horas en el tráfico.

This data paper presents a manually labeled dataset of 1,214 images of personnel captured from a construction site using four static cameras. There are two classes, standing and people leaning. The classification is stored in accompanying text files and bounding box coordinates for every image. The compilation was done to support the developing and validation computer vision and AI models for construction site monitoring. This dataset addresses the challenges of finding personnel in different poses within complex construction environments. The resource will enhance construction site safety monitoring and personnel activity analysis by allowing more precise neural network training. The dataset is stored in a public repository, making it openly accessible for academic and industrial purposes regarding computer vision, civil engineering, and workplace safety.

The introduction of artificial intelligence methods and techniques in the construction industry has fostered innovation and constant improvement in the automation of monitoring and control processes at construction sites, although there are areas where more studies still need to be conducted. This paper proposes a method to determine the criticality of cracks in concrete samples. The proposed method uses a previously trained YOLOv4 neural network to identify concrete cracks. Then, the region of interest, determined by the bounding box resulting from the neural network model classification, is extracted. Finally, the extracted image is converted to negative grayscale to quantify the number of white pixels above a certain threshold, automatically allowing the system to characterize the fracture’s extent and criticality. The classification module reached a veracity between 98.36% and 99.7...

Dropout has always been a concerning issue within higher education. This research explores the relationship between mental health-related problems and undergraduate students’ dropout rates amid the COVID-19 pandemic and within a civil engineering program. The study is quantitative descriptive, with a non-experimental and longitudinal design. Results show that the dropout rates of civil engineering students from a private university have increased, comparing before and after the COVID-19 pandemic, primarily due to mental health-related problems. Three strong tendencies within these rates have been detected, directly related to the COVID-19 pandemic. It was concluded that undergraduate students’ mental health had been undermined due to the pandemics, which has had an immediate impact on the increase of dropout rates.

An experimental study was conducted to examine the mechanical strengths of concretes with straight high-strength knurled polypropylene macrofibers. Incidences of concrete mechanical strengths were determined for three different fiber dosages and lengths. In addition, compressive, indirect-splitting-test tensile, and flexural strengths were determined through testing. The results showed no statistically significant correlation between the volume and length of fibers with the compressive strength of polypropylene fiber-reinforced concrete (PPFRC). However, there was a statistically significant correlation between the split tensile strength, the volume, and the length of the fibers when the volume was greater than 0.80%, and the length of the fibers was greater than 50 mm. Furthermore, the modulus of rupture increased when the volume of fibers was greater than 0.80% and the length of the fi...

Compressive strength and elasticity modulus are the main mechanical properties of concrete. The non-destructive ultrasound pulse test can be used to determine these properties without compromising the structure’s integrity. This study seeks to assess whether a correlation exists (1) between the Reinforcement Index (RI) and the mechanical properties, (2) between the RI and the dynamic properties, and (3) among the dynamic properties of polypropylene fiber-reinforced concrete. The RI was modified through fiber volume fraction (0, 0.4, 0.8 and 1.2%) and fiber length (40, 50 and 60 mm). The dynamic properties were assessed through dynamic elasticity modulus and ultrasonic pulse velocity (UPV), which were determined by direct, semi-direct, and indirect prospect methods. Finally, compressive strength, static elasticity modulus, and Poisson’s ratio were assessed through destructive tests. T...

El Perú gasta el 0,08 % del PBI en investigación y desarrollo, una cifra muy inferior a la de países como Colombia (0,25 %), Chile (0,38 %) y Brasil (1,24 %).