Escuela Superior de Ingenieria y Arquitectura

Mexico City, Mexico

Escuela Superior de Ingenieria y Arquitectura

Mexico City, Mexico
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Perez J.E.R.,Escuela Superior de Ingenieria y Arquitectura | Rodriguez R.,Escuela Superior de Ingenieria y Arquitectura | Vazquez-Hernandez A.O.,Mexican Institute of Petroleum
Marine Structures | Year: 2017

The development of methods for damage detection for offshore jacket platforms is useful to prevent structural damage. In this work a methodology for damage identification is applied using the Damage Submatrices Method. The method determines the indicators of damage in terms of stiffness degradation, which allows the identification of damage from changes in structural stiffness values by comparing the baseline (or intact) and damaged conditions. A rectangular system of linear equations was solved to determine damage submatrices that contain information of structural damage associated with each structural element. Singular value decomposition was applied to these submatrices to determine the so-called damage indicators. The stiffness matrix was reconstructed based on limited modal data, using the first three mode shapes of the structure. Finally, results of the proposed method are shown using to a numerical case study of one offshore jacket platform. Several scenarios of damage are considered, and three sensitivity analyses were carried out as well, in order to compare the robustness of the method, which take into account: 1) the variation of the damage severity; 2) the combinations of the first three mode shapes of the platform; and 3) the noise influence in the modal displacements determination. © 2017 Elsevier Ltd


Rodriguez-Rocha R.,Escuela Superior de Ingenieria y Arquitectura | Rivero-Angeles F.J.,Seismic Ingenieria y Construccion SA de CV | Gomez-Ramirez E.,La Salle University at Cuauhtémoc
International Journal of Structural Stability and Dynamics | Year: 2013

In this paper, a damage detection study is presented for a seven-story concrete building. This structure was affected by the 1994 Northridge earthquake. Acceleration signals of the damaged system are processed utilizing both the Independent Component Analysis and the Frequency Domain Decomposition Method to extract modal parameters. Utilizing solely these parameters from the damaged structure and the approximate undamaged lateral stiffness of the first storey, a pre-damage state is determined. Damage assessment is achieved by the Baseline Stiffness Method and comparing the computed undamaged state of the building and the damaged one to detect loss of stiffness on each element of the structure. Advantages of the proposed methods are discussed to demonstrate the feasibility of the methodology to extract modal parameters and to identify structural damage in buildings without baseline modal information. © 2013 World Scientific Publishing Company.


Ahmed B.,Tufts University | Mendoza-Sanchez I.,Escuela Superior de Ingenieria y Arquitectura | Khardon R.,Tufts University | Abriola L.,Tufts University | Miller E.L.,Tufts University
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2012

Large-scale contamination of ground water due to improper disposal of hazardous chemicals poses a global threat to drinking water supplies. Effective restoration and remediation of such sites relies upon a knowledge of the contaminant's distribution within the subsurface. Obtaining a detailed map of the existing distribution is usually not feasible; rather partial knowledge in terms of certain metrics that characterize the distribution has recently been shown to be sufficient for planning and monitoring remediation strategies. In this work we explore the prediction of a representative metric based upon down-gradient concentration profiles using a classification framework where each class represents a particular sub-range of the metric. Initial experiments show that our proposed model can be used effectively for predicting the metric. © 2012 IEEE.


Aghasi A.,Georgia Institute of Technology | Aghasi A.,Tufts University | Mendoza-Sanchez I.,Escuela Superior de Ingenieria y Arquitectura | Miller E.L.,Tufts University | And 2 more authors.
Inverse Problems | Year: 2013

This paper presents a new joint inversion approach to shape-based inverse problems. Given two sets of data from distinct physical models, the main objective is to obtain a unified characterization of inclusions within the spatial domain of the physical properties to be reconstructed. Although our proposed method generally applies to many types of inverse problems, the main motivation here is to characterize subsurface contaminant source zones by processing down-gradient hydrological data and cross-gradient electrical resistance tomography observations. Inspired by Newton's method for multi-objective optimization, we present an iterative inversion scheme in which descent steps are chosen to simultaneously reduce both data-model misfit terms. Such an approach, however, requires solving a non-smooth convex problem at every iteration, which is computationally expensive for a pixel-based inversion over the whole domain. Instead, we employ a parametric level set technique that substantially reduces the number of underlying parameters, making the inversion computationally tractable. The performance of the technique is examined and discussed through the reconstruction of source zone architectures that are representative of dense non-aqueous phase liquid (DNAPL) contaminant release in a statistically homogenous sandy aquifer. In these examples, the geometric configuration of the DNAPL mass is considered along with additional information about its spatial variability within the contaminated zone, such as the identification of low and high saturation regions. Comparison of the reconstructions with the true DNAPL architectures highlights the superior performance of the model-based technique and joint inversion scheme. © 2013 IOP Publishing Ltd.


Rodriguez R.,Escuela Superior de Ingenieria y Arquitectura | Escobar J.A.,National Autonomous University of Mexico | Gomez R.,National Autonomous University of Mexico
Journal of Earthquake Engineering | Year: 2011

A new method called the Baseline Stiffness Method (BSM), used to locate and quantify damage in buildings without baseline modal parameters (undamaged state), is presented. In order to determine this reference state, the BSM uses modal parameters from the damaged state of the building and the lateral stiffness matrix of the first story without damage. Afterwards, by means of an iterative process using singular value decomposition, location and severity of damage are obtained by comparing information about the damaged and non damaged states. Numerical and experimental examples are presented and discussed showing the advantages of the application of the proposed BSM. Copyright © A. S. Elnashai & N. N. Ambraseys.


Rodriguez R.,Escuela Superior de Ingenieria y Arquitectura | Escobar J.A.,National Autonomous University of Mexico | Gomez R.,National Autonomous University of Mexico
Engineering Structures | Year: 2010

A method to detect damage in structures utilising only dynamic information from a post-damage event is presented. This method, denominated as Baseline Stiffness Method, BSM, may be useful to locate and evaluate the magnitude of structural and nonstructural damage of buildings whose baseline (without damage) state is not known. Extracted mode shapes and vibration frequencies of the instrumented damaged structure are used as data along with the lateral stiffness of the first storey of the system without damage. By means of an iterative process, based on singular value decomposition, it is possible to identify location and severity of damage (degradation of stiffness) utilising an analytical model. Examples of application in instrumented building structures are presented and the advantages of the application of the developed BSM are discussed. © 2010 Elsevier Ltd.

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