Geng-Hui Jiang's research while affiliated with Shanghai Jiao Tong University and other places
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Publications (9)
Inverse heat conduction problems (IHCPs) are widely used to identify the thermal load imposed on the components in aerospace fields, and the accuracy and robustness of identification algorithm are the keys to IHCP. In this paper, the element differential method (EDM), Levenberg-Marquardt method (LM) and future time steps method are combined to iden...
Element differential method Solid isotropic material with penalization Topology optimization Heat transfer problem Elastic problem. The element differential method (EDM) is a robust and efficient strong-form numerical method, which has attracted a lot of attention of the researchers about the numerical methods since proposed. EDM has higher stabili...
In order to accurately identify the geometric boundary, the radial integration boundary element method (RIBEM) combined with the modified Levenberg-Marquardt (LM) algorithm is proposed for shape reconstruction in transient heat conduction problems. Compared with the finite element method (FEM), the boundary element method (BEM) only discretizes the...
In order to accurately identify the temperature-dependent thermal conductivity of solids, a novel method which combines the element differential method (EDM) with the modified Levenberg-Marquardt algorithm (LMA) is firstly proposed to solve the inverse heat conduction problems, where complex variable derivative method (CVDM) is introduced to obtain...
In order to solve multi-medium nonlinear transient heat conduction problems, based on interface integration boundary element method, a new approach, which can convert the multi-domain integrals to the boundary integrals with high precision, is firstly proposed in this paper. The boundary element method with the internal and exterior source is used...
In this paper, combination of radial integration boundary element method (RIBEM) with complex variable and Levenberg-Marquardt algorithm (LMA) is firstly proposed to identify temperature-dependent conductivity in the inverse heat conduction problem. To obtain the simulative temperature, radial integration boundary element method is used to solve th...
In order to analyze the heat conduction problem of composite materials in aerospace engineering, a modified conjugate gradient method is proposed to identify the physical parameters of transient heat conduction problems in this paper. In the positive problem, the boundary element method based on radial integration method is used to obtain the measu...
In this paper, a new numerical method, Element Differential Method (EDM), is developed for solving transient heat conduction problems with variable conductivity. The key point of this method is based on the direct differentiation of shape functions of isoparametric elements used to evaluate the geometry and physical variables. A new collocation met...
Citations
... Francesco and Pierre-Louis investigated strategies to control nanoclusters' shape change by varying the external environment's optimal temperature [12]. Jiang et al. used the radial integration boundary element method in conjunction with a modified Levenberg-Marquardt algorithm to reconstruct the shape in transient thermal conduction problems [13]. Yang et al. studied the finite element electrothermal coupling method based on the radial point interpolation method (RPIM) to monitor the efficiency of thermoelectric coupling [14]. ...
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... By using EDM, a unified solution format for a variety of problems can be easily established, which means that EDM is more suitable in solving Multiphysics problems. Based on these advantages, EDM has been widely applied in solving various engineering problems [29][30][31][32][33][34][35][36][37]. In general, EDM is a promising candidate approach in topology optimization. ...
... Moreover, the effectivity of the MDBEM is tremendously dependent on the assembly technique of equations, which will bring great challenge to realize the universality of the program code. 24 The latest developments and achievements of the machine learning (ML) 25,26 have a significant impact on a wide range of scientific fields. 27 The application of the ML technology in heat conduction can be traced back to artificial neural networks used to calculate the convective heat transfer coefficients. ...
... The structure of the ANN model to predict the wind data [19]- [21] is shown in Figure 1. The ANN fitting tool is used to forecast hourly data for various locations, and the statistical adjustment used in our case is based on the Levenberg-Marquardt algorithm [22], [23]. A two-layer feedforward neural network serves as the fitting tool. ...
... 16 The transient heat transfer analysis is of great importance in a wide range of practical engineering areas. 17 The existing achievements mainly include two categories, namely, the transformed domain method 18 and the time domain method. 19,20 As a powerful numerical analysis method, the BEM is successfully applied to simulate the transient heat conduction problems. ...
... As for direct thermal analysis, numerical methods, such as the finite element method [6] (FEM) and boundary element method [7] (BEM), have been widely used to solve transient heat conduction problems [8] . In recent years, Gao et al. proposed a new robust method-element differential method (EDM) [9][10][11] . Compared with FEM, EDM is a strong form method without complex integrations [12] . ...
