Structural finite element model updating considering soil-structure interaction using ls-dyna in loop

Park, Gun; Jung, Jongwon; Yoon, Hyeun Joong

doi:10.1038/s41598-023-31956-3

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…Jing et al [26] considered structure-soil-structure interaction and analyzed the responses of a storage tank undergoing earthquake movement using three-dimensional numerical models. Analysis errors of dynamic behaviors may exist under the circumstance of neglecting the effect of soft soil on upper structures [27]. Xu et al [28] developed a shaking-table test approach to analyze the dynamic behaviors of a tank that incorporates soil-structure interaction.…”

Section: Introductionmentioning

confidence: 99%

Liquid Sloshing in Soil-Supported Multiple Cylindrical Tanks Equipped with Baffle under Horizontal Excitation

Sun,

Meng,

Zhang

et al. 2024

Buildings

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The dynamic behavior of liquid storage tanks is one of the research issues about fluid–structure interaction problems. The analysis errors of the dynamics of multiple adjacent tanks can exist if neglecting soil–tank interaction since tanks are typically supported on flexible soil. In the present paper, the dynamics of a group of baffled cylindrical storage tanks supported on a circular surface foundation and undergoing horizontal excitation are analytically examined. For upper multiple tank–liquid–baffle subsystems, accurate solutions to the velocity potential for liquid sloshing are acquired according to the subdomain partition technique. A theoretical model is utilized to portray the continuous sloshing of each tank. For the soil–foundation subsystem, a lumped-parameter model is used to characterize the impacts of soil on upper-tank structures using Chebyshev complex polynomials that present the fitting results of horizontal, rocking, and coupling impedance functions. Then, a model of the soil–foundation–tank–liquid–baffle system is constructed on the basis of the substructure approach. The present sloshing frequencies, sloshing height, and hydrodynamic shear as well as the moment under rigid/soft soil foundations are compared to the available exact results and the numerical results to prove the validity of the present model. The error of the maximum sloshing height between the present and the numerical solutions is within 5.27%; the solution efficiency of system dynamics from the present model is 40–50 times faster than that from the ADINA model. A detailed parameter analysis of the dynamic characteristics and earthquake responses of the coupling system is presented. The research novelty is that an equivalent analytical model is presented, and it allows for investigating the dynamics of soil-supported multiple cylindrical tanks with a baffle, providing acceptable accuracy and high calculation efficiency.

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Section: Introductionmentioning

confidence: 99%

Liquid Sloshing in Soil-Supported Multiple Cylindrical Tanks Equipped with Baffle under Horizontal Excitation

Sun,

Meng,

Zhang

et al. 2024

Buildings

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“…Finite element (FE) model updating is an additional way to assess the current state of structures 40 – 44 . This method utilizes FE models to refine and update the numerical model, aiming to achieve a more accurate representation of the systematic behavior of the target structure.…”

Section: Introductionmentioning

confidence: 99%

Structural damage detection using deep learning and FE model updating techniques

Lee,

Kim,

Min

et al. 2023

Sci Rep

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The structural condition can be estimated by various methods. Damage detection, as one of those methods, deals with identifying changes in specific features within structural behavior based on numerical models. Since the method is based on simulation for various damage conditions, there are limitations in applicability due to inevitable discrepancies between the analytical model and the actual structure. Finite element model updating is a technique for establishing a finite element model that can reflect the current state of a target structure based on the measured responses. It is performed based on optimization for various structural parameters, but the final output can converge differently depending on the initial model and the characteristics of the algorithm. Although the updated model may not faithfully replicate the target structure as it is, it can be considered equivalent in terms of the relationship between the structural properties and behavioral characteristics of the target. This allows for the analysis of changes in the mechanical relationships established for the target structure. The change can be related to structural damage, and artificial intelligence technology can provide an alternative solution in such complex problems where analytical approaches are challenging. Taking practical aspects from the aforementioned methods, a novel structural damage detection methodology is presented in this study for identifying the location and extent of the damage. Model updating is used to establish a reference model that reflects the structural characteristics of the target. Training data for various damage conditions based on the reference model allows the artificial intelligence networks to identify damage to the target structure.

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Investigating the Impact of Geometrical Properties of Helical Piles Buried in the Layered Soil on the Compressive and Tensile Load-Bearing Capacity

Seifi,

Nayeri,

Lajevardi

2024

Int. J. of Geosynth. and Ground Eng.

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Structural finite element model updating considering soil-structure interaction using ls-dyna in loop

Cited by 3 publications

References 22 publications

Liquid Sloshing in Soil-Supported Multiple Cylindrical Tanks Equipped with Baffle under Horizontal Excitation

Liquid Sloshing in Soil-Supported Multiple Cylindrical Tanks Equipped with Baffle under Horizontal Excitation

Structural damage detection using deep learning and FE model updating techniques

Investigating the Impact of Geometrical Properties of Helical Piles Buried in the Layered Soil on the Compressive and Tensile Load-Bearing Capacity

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