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The author(s) disclosed receipt of the following financial support for the research, authorship and/or publication of this article: This work was partially funded by the Ministerio de Economi ' a y Competitividad of Spain and the European Regional Development Fund under project RTI2018-094945-B-C21. In addition, the co-author, J.N.-P., has been supported by the research contract, USE-17047-G, provided by the Universidad de Sevilla.

Analysis of institutional authors

Naranjo-Perez, JavierAuthorJimenez-Alonso, Javier FernandoCorresponding Author

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Parameter identification of the dynamic Winkler soil-structure interaction model using a hybrid unscented Kalman filter-multi-objective harmony search algorithm

Publicated to:Advances In Structural Engineering. 23 (12): 2653-2668 - 2020-01-01 23(12), DOI: 10.1177/1369433220919074

Authors: Naranjo-Perez, Javier; Jimenez-Alonso, Javier Fernando; Saez, Andres;

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Abstract

Soil-structure interaction is a key aspect to take into account when simulating the response of civil engineering structures subjected to dynamic actions. To this end, and due to its simplicity and ease of implementation, the dynamic Winkler model has been widely used in practical engineering applications. In this model, soil-structure interaction is simulated by means of spring-damper elements. A crucial point to guarantee the adequate performance of the approach is to accurately estimate the constitutive parameters of these elements. To this aim, this article proposes the application of a recently developed parameter identification method to address such problem. In essence, the parameter identification problem is transformed into an optimization problem, so that the parameters of the dynamic Winkler model are estimated by minimizing the relative differences between the numerical and experimental modal properties of the overall soil-structure system. A recent and efficient hybrid algorithm, based on the combination of the unscented Kalman filter and multi-objective harmony search algorithms, is satisfactorily implemented to solve the optimization problem. The performance of this proposal is then validated via its implementation in a real case-study involving an integral footbridge.

Keywords

Civil engineering structuresConstitutive parametersDynamic winkler modelFinite element model updatingGeotechnical backanalysisHarmony search algorithmsHybrid local-global optimization algorithmsHybrid local–global optimization algorithmsKalman filtersLearning algorithmsMaterial damping ratioOperational modal analysisOptimizationOptimization problemsParameter estimationParameter identificationParameter identification methodsParameter identification problemsPractical engineering applicationsSoil-structure interactionSoilsSoil–structure interactionUnscented kalman filter

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Advances In Structural Engineering due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2020, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Building and Construction. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Construction & Building Technology.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.03, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions May 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-05-31, the following number of citations:

  • WoS: 1
  • Scopus: 7

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 2025-05-31:

  • 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: 8 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (NARANJO PEREZ, JAVIER) .

the author responsible for correspondence tasks has been JIMENEZ ALONSO, JAVIER FERNANDO.