Calibration of a Large Nonlinear Finite Element Model of a Highway Bridge with Many Uncertain Parameters

Astroza, Rodrigo; Barrientos, Nicolás; Li, Yong; Flores, Erick Saavedra

doi:10.1007/978-3-030-12075-7_20

Cited by 1 publication

(1 citation statement)

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“…Nevertheless, they present the drawback of the high simulation time required to perform the finiteelement-model updating when tackling complex civil engineering structures (Jiménez-Alonso et al, 2019). In particular for the case when the number of unknown physical parameters to be updated is large (Astroza et al, 2019;Bartilson et al, 2019;Vakilzadeh et al, 2014), or when it is not possible to implement a parallelizable Bayesian computational approach (Astroza et al, 2019;Cheung and Beck, 2009;Papadimitriou et al, 2018;).…”

Section: Introductionmentioning

confidence: 99%

Finite-element-model updating of civil engineering structures using a hybrid UKF-HS algorithm

Naranjo-Pérez

Jiménez‐Alonso

Pavić

et al. 2020

Structure and Infrastructure Engineering

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Structure and Infrastructure EngineeringHarmony Search (UKF-HS) algorithm is proposed and its implementation details are discussed. In order to validate such hybrid algorithm and further illustrate its performance, the finite-element-model updating of a benchmark footbridge is performed using two different approaches (single-objective and multi-objective) and three different computational algorithms, namely: (i) genetic algorithms; (ii) harmony search; and (iii) the novel UKF-HS hybrid algorithm. The obtained results reveal that the proposed hybrid algorithm may be considered as an adequate alternative tool to efficiently perform the finite-element-model updating of civil engineering structures in practical engineering applications.

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