Genghui Jiang

Nanjing University of Science and Technology | NJUST · School of Energy and Power Engineering

The drag coefficient, as the most important parameter that characterizes particle dynamics in flows, has been the focus of a large number of investigations. Although good predictability is achieved for simple shapes, it is still challenging to accurately predict drag coefficient of complex‐shaped particles even under moderate Reynolds number ( Re )...

Existing methodologies for the hyper projection-based reduced order model (HPROM) fall into two categories: the approximate-then-project and the project-then-approximate approaches. Both involves approximation and projection procedures. This paper introduces a novel hyper-reduction framework, the direct hyper projection-based reduced order model (D...

The real-time computation of a three-dimensional pipe network flow is crucial for both pipe design and operational maintenance. This study devises a novel reduced-order configuration approach that combines the advantages of the acceleration characteristics of the reduced-order model and the structural applicability of the configuration model. First...

In order to monitor the temperature and temperature difference levels of the flange-bolt components in the cylinder's joint surface during start-up process, temperature measurement elements are installed at different depths of the flange and at different heights of the bolt. The temperature of each measurement point and the temperature difference b...

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...

In order to effectively estimate the physical fields of active cooling channel with supercritical pressure hydrocarbon fuel, a novel data-driven reduced-order model framework is firstly proposed in the present work, which is established via combining reduced-order modeling method based on proper orthogonal decomposition and autoencoder neural netwo...

This paper devises an efficient reduced-order model based on a unified viscoplastic constitutive model for predicting creep–fatigue behavior under multiaxial loading. In the preprocessing stage, the first cycle is numerically simulated using the unified viscoplastic constitutive model, and all element damage variables are recorded as representative...

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 power engineering, analysis of the thermal behavior of steam turbine and development of control strategies depend on online evaluations of the temperature fields of in-service components. Due to the complexity of structure and the variability of operating conditions, an online reconstruction technique fused with proper orthogonal decomposition (...

A data-driven deep-learning reduced-order models (DL-ROMs) framework to accurately evaluate the temperature field of non-contact solids without available sensors is proposed in this paper. The framework combines a neural network (NN) and model reduction. The NN is trained and the sub-ROMs of internal non-contact solids are established based on a sh...

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 order to efficiently solve nonlinear transient heat conduction problem, a method combining the radial integration boundary element method (RIBEM) and the proper orthogonal decomposition (POD) is proposed to establish the nonlinear reduced-order model, and the implementation of the reduced-order model makes fast numerical simulation possible in e...

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...