Person:
Bojorque Iñeguez, Jaime Asdrúbal

Birth Date

1974-10-13

ORCID

0000-0003-2847-9669

Scopus Author ID

57188693565

Afiliación

Universidad de Cuenca, Facultad de Ingeniería, Cuenca, Ecuador

País

Ecuador

Organizational Units

Organizational Unit

Facultad de Ingeniería

La Facultad de Ingeniería, a inicios de los años 60, mediante resolución del Honorable Consejo Universitario, se formalizó la Facultad de Ingeniería de la Universidad de Cuenca, conformada por las escuelas de Ingeniería Civil y Topografía. Esta nueva estructura permitió una mayor especialización y fortalecimiento en áreas clave para el desarrollo regional. Cuenta con programas académicos reconocidos internacionalmente, que promueven y lideran actividades de investigación. Aplica un modelo educativo centrado en el estudiante y con procesos de mejora continua. Establece como prioridad una educación integra, la formación humanística es parte del programa de estudios que complementa a la sólida preparación científico-técnica. Las actividades culturales pertenecen a un programa permanente y activo al interior de nuestras dependencias, a la par de proyectos que desde el alumnado y bajo la supervisión de docentes cumplen con servicios de apoyo a nivel local y regional; promoviendo así una vinculación estrecha con la comunidad.

Job Title

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Last Name

Bojorque Iñeguez

First Name

Jaime Asdrúbal

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Now showing 1 - 10 of 11

Aplicación del diseño experimental para el análisis de pavimentos rígidos basado en el método de la PCA
(Universidad de Cuenca, 2017) Bojorque Iñeguez, Jaime Asdrúbal; Urgilés Parra, Diana del Rocío; Cabrera Illescas, Abel Bernardo
In this document analytical equations for the prediction of the rigid pavement slab thickness according to the method of PCA (Portland Cement Association) are proposed. The research was performed using the statistical technique of experimental design, for which the input data was determined by an analysis of the equations, tables, graphs and nomograms proposed by the PCA. A computer program was implemented in MATLAB to analyze various parameters in an efficient manner, allowing the selection of viable solutions. The proposed models allow the analysis of the slab thickness in a simpler way without having to incur the subjectivity of using nomograms, figures and tables. The derived equations have a significant reliability expressed through the correlation coefficients that are higher than 0.9750. Analysis of the models revealed that the use or not use of concrete berms largely influences the slab thickness, while the use or not use of dowels have a smaller effect. Independent of the use of berms, in the case of using dowels, the proposed models were the simplest and the most influential variable was the concrete rupture modulus. If dowels are not used, the reaction module of the subgrade was the parameter with the highest incidence. Examination of the most relevant parameters enabled optimization of the slab thickness, and definition of the design with best cost benefit.
Delimitation of safety zones by finite element analysis
(Taylor & Francis, 2008) Maertens, Johanna; Bojorque Iñeguez, Jaime Asdrúbal; De Roeck, Guido; Bojorque Iñeguez, Jaime Asdrúbal
This paper deals with the determination of safety zones and local minima by using finite element analysis. Used is made of finite element method in order not to constraint the analysis by neither the assumptions in the location of the sliding surface nor in the interslice force function. It is known, that only the most critical failure mechanism and global minimum are evaluated by the strength reduction method, in such approach local minima most of the time are unnoticed. Here, it is proposed that the safety zones and the local minima can be detected by keeping the information generated in the strength reduction process. In addition, the importance of soil properties in the location of the failure mechanism is highlighted. The methodology is presented in an artificial case study and in a real natural slope. The safety zones should be considered in landslide stabilization and remediation.
Evaluation of pore-pressure monitoring setup
(2017) Bojorque Iñeguez, Jaime Asdrúbal
In this study soil parameters are back analyzed by using the finite element method and two optimization algorithms, the Non Linear Least Squares (NLLS) and Coupled Local Minimizers (CLM) method. Soil permeability parameters are back analyzed to match the observed values of the variation of pore-water pressures at the Fosso S. Martino Landslide in Italy. Piezometer readings are used to back analyze the permeability coefficients of three soil layers and the left-hand side water level boundary. Furthermore, the performance of each piezometer is evaluated through neglecting the information of other points and performing the optimization analysis. It is found that both optimization algorithms determine soil parameters that represent the pore-water fluctuation of the study area, with their advantages and drawbacks. The NLLS computes values that represent the performance of the pore-water fluctuation in the piezometer readings however, the selection of the starting values is important in order to reduce the computational time. The CLM method was also able to compute adequate soil parameters however, the computational effort is much higher due to the fact that this method uses several search points in the process. For the minimum monitoring setup needed for the adequate determination of soil parameters, the piezometers in the middle of the slope provided the best information. These piezometers are essential to adequately back analyze the soil properties in this case study. Great attention has to be considered in maintain these piezometers in order to continue monitoring the slope.
Optimization of sensor location by static and dynamic slope stability analysis
(Springer, Dordrecht, 2007) Maertens, Jan; Roeck, Guido de; Bojorque Iñeguez, Jaime Asdrúbal
This paper derives the best location of field sensor for landslide monitoring based on static, pseudostatic and dynamic finite element slope stability analysis. Use is made of the finite element technique as not to constrain the analysis by the assumptions required in classical approaches. Numerical techniques in general, easily handle the strain-stress relationship, the non-linear soil behaviour, and complex geometries. The present methodology is implemented in a potential landslide site at km 27 along the Cuenca-Machala highway, Ecuador. This site has a cut slope of about 40 degrees with a length of 130 m and it is 100 m wide, given an approximated landslide volume of 240,000 m3 with an average depth of 18.5 m. The soils behaviour is represented as elastic-plastic soil material with a Mohr-Coulomb failure criterion for which the soil strength parameters were derived from in-situ and laboratory tests. The changes of static and/or dynamic stresses, geometry and soil properties will cause a variation where the highest displacements are developed. The location of the highest total, vertical and horizontal displacements are used to judge the best location for installing sensors for landslide monitoring. Different scenarios are analyzed to evaluate the effect of introducing remedial measures and different transient conditions. The results of the numerical simulation enabled definition of the most efficient and cost-effective location of the sensors to alert for potential landslides.
Marshall parameters for quality control of hot mix asphalt after pavement construction
(2019) Vásquez, Mario; Flores, Cristian; Bojorque Iñeguez, Jaime Asdrúbal
© 2019 Pontificia Universidad Catolica de Chile, Escuela de Construccion Civil. Highways have been and are built using Hot Mix Asphalt (HMA) as surface layer. The most common HMA design procedure is the Marshall Method, a method also used for quality control (QC) at the time of road construction. Due to several factors, sometimes it is not possible to sample the surface layer when constructed. When this occurs, QC is performed after construction by analyzing cores. Current regulations, however, fail having clear procedures regarding the collection and analysis of pavement cores after the complete placement of the asphalt mixture. For this reason, this study proposes a comparative analysis of Marshall parameters, mixture densities, and aggregates gradation obtained from specimens obtained during construction, versus cores samples extracted 30 and 60 days later. The research revealed that all the parameters measured on core samples, except flow, could be used to approve asphalt paving works after its construction.
Análisis de esfuerzos en pavimentos de concreto tipo whitetopping: caso de estudio vía Biblián-Zhud
(2021) Bojorque Iñeguez, Jaime Asdrúbal
Enhanced limit method for slope stability analysis
(2016) Bojorque Iñeguez, Jaime Asdrúbal
The aim of this paper is to investigate the Enhanced Limit Method, which combines finite element and limit equilibrium analysis in slope stability studies, and to describe its use in practical geotechnical applications. The study covers a critical review of the use of the finite element stress field inside a limit equilibrium analysis to assess slope stability. Particular emphasis is given to the common assumption of constancy of the factor of safety along the critical slip surface and the incorporation of the dilatancy angle, tensile strength, and Poisson's ratio. This study has shown that the factor of safety along the sliding surface is not the same, therefore, the assumption of constant safety factor of the Limit Equilibrium Method should be used with caution. It is found that the dilatancy and tensile strength have negligible effects on the determination of the factor of safety. They may, however, influence in some extend the location of the critical slip surface, particularly at the crest of the slope. The Poisson's ratio slightly affects the shear stresses without significant influence in the computation of the factor of safety. The representation of the local safety factors is better shown with the enhanced method, this feature is important because the location of the most critical zones can be assessed and used for guiding the implementation of remedial measures.
Back-analysis of slope failures by numerical techniques
(2016) Bojorque Iñeguez, Jaime Asdrúbal
A method of defining strength parameters from slope failures is presented in this study, based on combining finite element and optimization analyses. The strength reduction technique is used to determine the shear strain field. The slip surface is then obtained from shear strain contours by extracting the maximal strains in several vertical lines. This surface is used for the optimization process when comparing to the observed failure surface. The optimization algorithm computes the sensitivity matrix with fix increments to avoid stationary values of the objective function. Two illustrative examples are presented, one considering a simple homogenous slope and the second compose of a two-layered model. The results of the analysis show that the proposed technique is efficient to determining soil parameters from slope failures by retaining the advantages of finite element slope stability analysis.
Comments on ‘two-dimensional slope stability analysis by limit equilibrium and strength reduction methods
(2008) De Roeck, Guido; Maertens, Johanna; Bojorque Iñeguez, Jaime Asdrúbal
This article presents comments to the document 'Two-dimensional slope stability analysis by limit equilibrium and strength reduction methods'
Efecto de la infraestructura pública en el precio del suelo urbano. Caso de la ciudad de Cuenca-Ecuador
(2021) Chuquiguanga Auquilla, María Cristina; Bojorque Iñeguez, Jaime Asdrúbal
In this paper, the expected sale value of urban properties is analyzed compared to the capital incorporated to the land by infrastructure. For this task, the market prices of 1,393 properties in the city of Cuenca, Ecuador, were collected using different sources, including online ads, realtors, and for-sale signs. The analysis reveals that in 95% of the lots, the capital incorporated by infrastructure represents up to 22.4% of the asking price. However, the profit expected by the owners -expected price minus incorporated capital- is high, reaching an average of 6.35 times the investment cost. Based on the lot’s spatial distribution, it was identified that the historic city center and its surroundings were areas where the highest expected profits are seen. Accurately distinguishing the areas that capture these profits can contribute in decision making regarding the capital gains recovery policies generated by public investment.