An efficient load identification for viscoplastic materials by an inverse meshfree analysis

Kazemi, Z.; Hematiyan, M. R.; Shiah, Yui‐Chuin

doi:10.1016/j.ijmecsci.2017.12.050

Cited by 11 publications

(5 citation statements)

References 61 publications

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“…Desanghere [6] introduced the modal coordinate transformation method into the dynamic load identification process and established the time domain method of load identification; Wang [7] applied the precise step-by-step integration method to the time-domain method of load identification, and gave the dynamic load identification theory and formula based on modal decomposition. Kazemi [8] proposed the method of time integration of strain to identify dynamic load.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Total Force and Moment of Ship Based on Improved BP Neural Network

Xu,

Li,

Ying

et al. 2023

Advances in Transdisciplinary Engineering

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This article introduces a method based on a BP neural network to predict the total force and moment of a ship caused by irregular waves in the time domain. A large bulk carrier is modeled and analyzed hydrodynamically, and a significant volume of data on ship acceleration response and total force and moment are obtained by changing the angle of wave incidence. These data are used as the basis for training and testing the neural network model. In this study, an improved BP neural network is utilized to fit the relationship between the ship acceleration response and total force and moment under multiple wave incidence angles. In order to evaluate the generalization ability of the neural network, types of wave incidence angles that have not appeared in the training set are introduced into the test set data. Empirical results validate the effectiveness and feasibility of this approach, which is anticipated to enhance ship design efficiency and provide valuable information for offshore safety assessments.

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Section: Introductionmentioning

confidence: 99%

Prediction of Total Force and Moment of Ship Based on Improved BP Neural Network

Xu,

Li,

Ying

et al. 2023

Advances in Transdisciplinary Engineering

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“…This work was later extended to visoelastic materials by Jamshidi et al 22 It should be mentioned that regularization techniques are used for treatment of the ill-posedness of the inverse problem, while the damping algorithm in the Gauss-Newton method is used for stabilizing the optimization process. 19,22 Being serious threats to the integrity, safety, and reliability of engineering components, the cracks and different aspects of their behavior have been widely investigated in the literature. One aspect of crack analysis is the inverse fracture mechanics, in which two main subjects have been studied extensively; the first one is the crack or void detection problems, for example, References 23, 24, and the second deals with the identification of damage parameters, for example, References 25, 26.…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al 17 and Li et al 18 respectively utilized the time domain Galerkin method and the shape function method with the polynomial selection technique to recognize the distributed dynamic load of a structure from its response. Kazemi et al 19 used the meshfree methods for determining the boundary loading in specimens made of viscoplastic materials. They employed the Tikhonov regularization technique 20 and the damped Gauss–Newton method 21 to solve the inverse problem.…”

Section: Introductionmentioning

confidence: 99%

“…They employed the Tikhonov regularization technique 20 and the damped Gauss–Newton method 21 to solve the inverse problem. This work was later extended to visoelastic materials by Jamshidi et al 22 It should be mentioned that regularization techniques are used for treatment of the ill‐posedness of the inverse problem, while the damping algorithm in the Gauss–Newton method is used for stabilizing the optimization process 19,22 …”

Section: Introductionmentioning

confidence: 99%

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An inverse procedure for identification of loads applied to a fractured component using a meshfree method

Liaghat

Khosravifard

Hematiyan

et al. 2021

Numerical Meth Engineering

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An efficient iterative inverse procedure is proposed for the identification of the distribution of loads that has led to a specific crack propagation path in a fractured component. This procedure determines the load applied to a part of the boundary based on the captured crack propagation path. The aim of this work, which is the first time to be presented, is important from the perspective of failure analysis, especially in the cases where it is not possible to directly measure the applied loading conditions. The inverse analysis requires the direct fracture mechanics problem to be solved for various boundary loading conditions. For each of the forward problems the meshfree radial point interpolation method, which is augmented with the background decomposition method for evaluation of domain integrals is employed. Using meshfree methods makes it possible to deal with the numerous direct problems, which appear in the formulation of the inverse problem, easily, accurately, and efficiently. The inverse problem of identification of the load distribution is formulated as an optimization problem. For solving the global minimization problem, a stochastic optimization method is used, in which the damped Gauss-Newton method is utilized as the local search algorithm. Through two example problems it is shown that the presented approach can be used effectively for the load identification of a component which has fractured along a specific path. K E Y W O R D S background decomposition method, fracture mechanics, inverse problem, load identification, meshfree method

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“…Over the years, many researchers have made great achievements in the dynamic load identification methods. [16][17][18][19][20][21][22][23][24][25] Lifschitz and D'Attellis 26 proposed a computational inverse technology based on wavelets and applied it to a pulsed plasma thruster. Liu and Shepard 27 used enhanced least-squares and total least-squares schemes to calculate the dynamic forces in the frequency domain.…”

Section: Introductionmentioning

confidence: 99%

A new hybrid conjugate gradient method for dynamic force reconstruction

Wang

Liu

Xie

et al. 2019

Advances in Mechanical Engineering

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A new hybrid conjugate gradient method is proposed in this article based on the gradient operator and applied to the structural dynamic load identification problem. It has proved that the present method with the strong Wolfe line search possesses sufficient descent property. In addition, the present method is globally convergent when the parameter in the strong Wolfe line search conditions is restricted in some suitable intervals. Three example problems from engineering are solved by the newly developed conjugate gradient method to demonstrate the robustness and effectiveness of conjugate gradient method in solving multi-source dynamic load identification problems. Compared with the traditional Landweber iteration regularization method (Landweber), the proposed conjugate gradient method can more stably and effectively overcome the influences of noise, largely reduce the number of iterations, and provide accurate results in identifying multi-source dynamic force in practical engineering structure.

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An efficient load identification for viscoplastic materials by an inverse meshfree analysis

Cited by 11 publications

References 61 publications

Prediction of Total Force and Moment of Ship Based on Improved BP Neural Network

Prediction of Total Force and Moment of Ship Based on Improved BP Neural Network

An inverse procedure for identification of loads applied to a fractured component using a meshfree method

A new hybrid conjugate gradient method for dynamic force reconstruction

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