An Effective Tangent Stiffness of Train–Track–Bridge Systems Based on Artificial Neural Network

Gu, Qiang; Pan, Jinghao; Liu, Yongdou; Fu, Minhong; Zhang, Jianguo

doi:10.3390/app12052735

Cited by 5 publications

(2 citation statements)

References 22 publications

(39 reference statements)

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“…However, in the general scope, it is hard to calculate the exact consistent tangent of an implicit and complicated network. A surrogate tangent can be learned with another ANN [ 44 , 45 ] from the data of the deformation gradient and the tangent calculated with DBFFT. One difficulty of this approach is that the tangent data is not always available.…”

Section: Applications Of the Single-point Calculatormentioning

confidence: 99%

On the Single-Point Calculation of Stress–Strain Data under Large Deformations with Stress and Mixed Control

Wang

Chen

2022

Materials

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Stress–strain data with a given constitutive model of material can be calculated directly at a single material point. In this work, we propose a framework to perform single-point calculations under large deformations with stress and mixed control, to test and validate sophisticated constitutive models for materials. Inspired by Galerkin–FFT methods, a well-defined mask projector is used for stress and mixed control, and the derived nonlinear equations are solved in Newton iterations with Krylov solvers, simplifying implementation. One application example of the single-point calculator in developing sophisticated models for anisotropic single crystal rate-independent elastoplasticity is given, illustrating that the proposed algorithm can simulate asymmetrical deformation responses under uni-axial loading. Another example for artificial neural network models of the particle reinforced composite is also given, demonstrating that the commonly used machine learning or deep learning modeling frameworks can be directly incorporated into the proposed calculator. The central difference approximation of the tangent is validated so that derivative-free calculations for black-box constitutive models are possible. The proposed Python-coded single-point calculator is shown to be capable of quickly building, testing, and validating constitutive models with sophisticated or implicit structures, thus boosting the development of novel constitutive models for advanced solid materials.

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Section: Applications Of the Single-point Calculatormentioning

confidence: 99%

On the Single-Point Calculation of Stress–Strain Data under Large Deformations with Stress and Mixed Control

Wang

Chen

2022

Materials

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“…Compared to other man-made structures, it can be observed that a railway track operates under unique conditions. This is due to the accumulation of local plastic deformations in all its elements [1][2][3][4][5]. This study aims to present the discourse on the reconceptualization of an integrated approach to the assessment of the change in the technical condition of a railway track under the action of rolling stock throughout its useful life, which is highly important in efforts to ensure the functional safety of the railway track.…”

Section: Introductionmentioning

confidence: 99%

Novel ‘Closed’-System Approach for Monitoring the Technical Condition of Railway Tracks

Bondarenko,

Lukoševičius,

Neduzha

2024

Sustainability

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Assessing the technical condition of a railway track throughout its service life is crucial to ensuring functional safety. However, it is important to note that current approaches have theoretical and practical gaps that require attention. The purpose of this study is to discuss the reconceptualization of an integrated approach to assess changes in the technical condition of railway tracks caused by rolling stock over their service life. Improving existing systems for assessing the condition of the track can be achieved by modifying the model concept and, subsequently, the measurement and assessment procedures. This paper presents an alternative method for addressing technical issues related to the monitoring and diagnosis of railway tracks, with a particular focus on natural phenomena: energy transfer by elastic waves. The primary aim of this work is to propose an approach for designing a ‘closed’ measurement system that enables tracking of the cause-and-effect relationship. This system takes into account both the elastic dissipative characteristics of the track–rolling stock interaction and the influence of the dynamics of various components in the ‘train-track’ system.

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Performance parameter design of seismic isolation bearings for high-speed railway simply-supported bridges using neural network

Guo,

He,

Zhu

et al. 2024

Soil Dynamics and Earthquake Engineering

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An Effective Tangent Stiffness of Train–Track–Bridge Systems Based on Artificial Neural Network

Cited by 5 publications

References 22 publications

On the Single-Point Calculation of Stress–Strain Data under Large Deformations with Stress and Mixed Control

On the Single-Point Calculation of Stress–Strain Data under Large Deformations with Stress and Mixed Control

Novel ‘Closed’-System Approach for Monitoring the Technical Condition of Railway Tracks

Performance parameter design of seismic isolation bearings for high-speed railway simply-supported bridges using neural network

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