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Boada-Parra, GustavoAuthor

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August 28, 2025
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Visualization of Distributed Plasticity in Concrete Piles Using OpenSeesPy

Publicated to: Applied Sciences-Basel. 15 (14): 8004- - 2025-07-18 15(14), DOI: 10.3390/app15148004

Authors:

Pantoja, Juan-Carlos; Tinoco, Joaquim; Smith-Pardo, Jhon Paul; Boada-Parra, Gustavo; Matos, Jose
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Affiliations

Seattle Univ, Dept Civil & Environm Engn, Seattle, WA 98122 USA - Author
Univ Minho, ISISE, Dept Civil Engn, Adv Prod & Intelligent Syst ARISE, P-4800058 Guimaraes, Portugal - Author
Univ Politecn Madrid, Dept Ingn Transporte Terr & Urbanismo, C Prof Aranguren 3, Madrid 28040, Spain - Author
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Abstract

Lumped plasticity models available in commercial software offer a limited resolution of damage distribution along structural members. This study presents an open-source workflow that combines force-based fiber elements in OpenSeesPy with automated 3D post-processing for visualizing distributed plasticity in reinforced concrete piles. A 60 cm diameter pile subjected to monotonic lateral loading is analyzed using both SAP2000's default plastic hinges and OpenSeesPy fiber sections (Concrete02/Steel02). Although the fiber model incurs a runtime approximately 2.5 times greater, it captures the gradual spread of yielding and deterioration with improved fidelity. The presented workflow includes Python routines for interactive stress-strain visualization, facilitating the identification of critical sections and verification of strain limits. This approach offers a computationally feasible alternative for performance-based analysis with enhanced insight into member-level behavior. Because the entire workflow-from model definition through post-processing-is fully scripted in Python, any change to geometry, materials, or loading can be re-run in seconds, dramatically reducing the time taken to execute sensitivity analyses.
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Keywords

Distributed plasticityFiber elementsFiber-section frame elementsFlexibilitNonlinear structural modelingNumerical-simulationOpenseespOpenseespySeismic performanceSoil-structure interaction (ssi)Soil–structure interaction (ssi)Structural analysisSupported wharfVisualization and post-processing

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Applied Sciences-Basel due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 50/175, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Engineering, Multidisciplinary. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría .

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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-12-21:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 1 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

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    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: Portugal; United States of America.

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    Awards linked to the item

    This work was supported by FCT (Fundacao para a Ciencia e Tecnologia), I.P. by project reference 2023.04374.BDANA, with DOI identifier https://doi.org/10.54499/2023.04374.BDANA attributed to the first author, and CEECINST/00018/2021 attributed to the second author. Also, this work was partly financed by FCT/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB/04029/2020 (https://doi.org/10.54499/UIDB/04029/2020), and under the Associate Laboratory Advanced Production and Intelligent Systems ARISE under reference LA/P/0112/2020.
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