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 ...

Compared with other industries, construction has maintained one of the lowest growth rates in productivity and innovation over the last decades. Moreover, low compliance with schedule targets has remained a common issue throughout projects. Therefore, although methodologies developed have benefited productivity in design, construction and operation, meeting client and project objectives becomes challenging without properly integrating organization, information, systems and processes. This perspective introduces the Virtual Design and Construction (VDC) framework. First, this paper studies and reviews VDC since its creation at the Center for Integrated Facility Engineering (CIFE) of Stanford University in 2001. After that, a comprehensive bibliographical review of the VDC framework is presented and updated with examples of its application in construction projects, delving into its element...

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...

Undergraduate programs face the permanent challenge of constantly transforming to keep an up-to-date curriculum according to globalization and internationalization processes. In the case of civil engineers, professional training should respond to the needs of the Architecture, Engineering, Construction, and Operation (AECO) industry. In this context, Building Information Modelling (BIM) constitutes a process involving shared digital representations of built assets to facilitate design, construction, and operations processes within the industry to form a reliable base for decision-making. The present research develops a methodology and a proposal to embed BIM in an undergraduate civil engineering competency-based curriculum. Mixed method research was applied with a descriptive approach and a concurrent design. The results show that it is possible to implement a curricular design to embed ...

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 %).

Debris flows are geophysical phenomena, caused by torrential rain, which occur in mountainous areas, characterized by the detachment of slope and riverbed materials and their consequent dislodge through watersheds and streams. Debris flows usually carry sludge, water and rocks, and can destroy everything in their path. On February 8th, 2019, an event of this type occurred and destroyed Mirave’s community in Peru, which was located in the areas of transport and deposition of debris flows. This research presents the modeling and numerical simulation to reproduce the transport and deposition processes of the debris flow that occurred in Mirave. The initiation process of the debris flow in streams was represented by hydrographs obtained from the estimated rain runoff volumes and solid materials found at each evaluated micro watershed. The numerical simulation results show acceptable result...

Necesitaremos reinventar la forma como gestionamos nuestros proyectos para poder mitigar los daños generados por la pandemia de la COVID-19 y afrontar los nuevos desafíos de una competencia empresarial cada más fuerte y feroz, a fin de asegurar así la sobrevivencia del negocio en estos tiempos de crisis.

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...

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 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...

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...