Facultad de Ingeniería y Ciencias Aplicadas

Permanent URI for this community

https://repositorio.uandes.cl/handle/uandes/986

Browse

Browsing Facultad de Ingeniería y Ciencias Aplicadas by Author "Abell, José A."

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    33
    (33, 33) Galano, Nicolás; Moreno-Casas, Patricio Alejandro; Abell, José A.; 33
    The present work extends the capabilities of the Particle Finite Element Method (PFEM), which allows modeling of soil–fluid–structure interaction problems, to allow the modeling of sediment transport and scouring effects. This is accomplished by implementing scouring rules on an evolving scourable-interface, i.e. the interface surface between fluid and soil. The proposed method improves upon previous proposals by jointly capturing both the temporal and spatial scales of scouring evolution, as shown in the presented validation exercise, and also because its parametrization is conforms with commonplace engineering procedures for scouring prediction. The extension preserves desirable PFEM properties such as conservation of mass, mesh-size independence, and stability of the numerical solution of the PFEM equations and adds a negligible computational overhead to the PFEM implementation.
  • Thumbnail Image
    Item
    33
    (33, 33) Valdés, Alberto Hurtado; Torres, Eduardo; Camata, Guido; Petracca, Massimo; Crempien, Jorge G.F.; Abell, José A.; 33
    This study investigates the impact of modeling simplifications on the uncertainty of seismic response in numerical simulations, focusing on a five-story, asymmetric-plan, reinforced-concrete building in Santiago, Chile, subjected to simulated seismic motions from hypothetical events at the San Ramón fault (SRF). In order to achieve this, a comparative analysis is conducted between a high-complexity reference model and lower-complexity models. The reference model incorporates three-dimensional seismic inputs using the domain reduction method (DRM) and a detailed structural model accounting for material nonlinear behavior. The complexity of the models is systematically reduced to assess the effects of different soil–structure interaction (SSI) modeling assumptions. These assumptions include the use of DRM and plane-wave (PW) input, and also the exclusion of SSI through fixed-base (FB) conditions. For each model, both linear and nonlinear material behaviors are considered. Given the lack of historical records from the SRF, the study employs source-to-structure physical simulation to address seismic performance evaluation as well as its sensitivity to modeling. Simulations are conducted in OpenSees using input motions from 10 realizations of a (Formula presented.) event at the SRF, generated with the ShakerMaker Python library. With respect to the reference model, findings indicate that PW assumptions moderately increase uncertainty across different engineering demand parameters (EDPs) and analysis directions. Conversely, FB conditions significantly elevate modeling uncertainty, drastically changing the mean and variance of computed EDPs. A simple EDP sensitivity score is proposed to compare the statistics of computed EDPs, from which a global performance-score is constructed for ranking of models with respect to the reference model. The ranking shows that linear FB models may outperform non-linear FB models, highlighting a complex and nonintuitive relationship between structural nonlinearity and soil flexibility modeling on uncertainty. There are also indications that high-complexity modeling, accounting for the spatio-temporal complexities of the seismic wave-field through the DRM, is needed for responses quantities sensitive to high frequencies. Overall, it is shown that even for this realistic building, located on a very stiff soil, the effects of SSI cannot be neglected as this can produce unpredictable changes in mean and variance of computed EDPs.
  • Thumbnail Image
    Item
    33
    (33, 33) Abell, José A.; Moreno-Casas, Patricio A.; Recabarren, Matías; 33
    In an era where technology continually reshapes the landscape of professional practice, it has become relevant to equip engineering students with advanced computational skills beyond programming. This article presents a novel discipline-based framework designed to integrate advanced computational skills into engineering education. Responding to challenges such as the disconnection between computational abilities and domain-specific knowledge, and student demotivation due to overwhelming technological challenges, this study aims to validate the impact of the framework on domain learning, computational skill acquisition, and perceived future utility. Implementing a case study approach, we explore the development of high-performance computing skills within a project-based learning context in Civil Engineering. Results indicate significant improvements in students' understanding of both computational concepts and the engineering domain, evidenced by enhanced self-perception and positive Technology Acceptance Model outcomes. The framework facilitated a meaningful connection between computational skills and professional applications, as seen in students' project reflections. Despite the promising results, the necessity for instructors to possess and impart computational knowledge is highlighted as an important factor for successful integration. This study contributes to educational computing research by providing a scalable approach to embedding advanced computational skills in engineering curricula, addressing existing educational challenges, and suggesting directions for future research.
  • Thumbnail Image
    Item
    33
    (33, 33) Abell, José A.; Crempien, Jorge G.F.; Recabarren, Matías; 33
    ShakerMaker is an open-source python framework which simplifies the generation of synthetic broad-band seismograms, produced by finite-fault kinematic representations of earthquake ruptures, using a 1-D layered model of the crust and the frequency–wavenumber (f–k) method. It is designed to bring closer the engineering seismology and earthquake engineering communities, by catering to the earthquake simulation needs of both disciplines. One particular goal of this framework is to provide a simple way to produce high-fidelity earthquake motions for use with the domain-reduction method, simplifying the setup of physically accurate finite-element simulations of multi-scale seismological and earthquake engineering problems through the use of a new specialized file format. ShakerMaker's core is composed of a high-performance Fortran implementation of the f–k method, that is exposed to the user as a python framework. Its software architecture emphasizes simplicity, extensibility, and performance, allowing users to specify complex simulation scenarios with short scripts. The message passing interface is used to achieve scalability from simple single-processor machines to HPC clusters.