2025 Vol. 46, No. 1

Chief Editor’s Recommendation to Read
Why Don’t Apples Fly Up to the Sky?
XIONG Ke
2025, 46(1): i-ii. doi: 10.21656/1000-0887.450340
Abstract(333) PDF(90)
Abstract:
Solid Mechanics
EEP Elements for the 1 D Finite Element Method and the Adaptivity Analysis
YANG Shuai, YUAN Si
2025, 46(1): 1-11. doi: 10.21656/1000-0887.450036
Abstract(282) HTML (115) PDF(106)
Abstract:
For the elements of degree m(>1), simplified form solution u* based on the element energy projection (EEP) method has at least 1-order higher accuracy than conventional finite element solution uh. As a result, the EEP element, with simplified form EEP solution u* in as the final solution, was pro...
Bidirectional Evolutionary Topology Optimization for Stress Minimization Based on the Modified Couple Stress Elasticity
ZHANG Manzhe, GU Shuitao, FENG Zhiqiang
2025, 46(1): 12-28. doi: 10.21656/1000-0887.450038
Abstract(275) HTML (109) PDF(95)
Abstract:
The application of stress-based bidirectional evolutionary structural optimization (BESO) in the context of the modified couple stress elasticity theory was investigated. This methodology allows for structure optimization of homogenized continuum with a microstructural composition of size effects. T...
A Structural Dynamics Parameter Identification Method Based on the Modal Space Time-Domain Precise Integration
PAN Yaozong, ZHAO Yan
2025, 46(1): 29-39. doi: 10.21656/1000-0887.450071
Abstract(191) HTML (82) PDF(45)
Abstract:
Based on the modal space time-domain precise integration, a dynamic parameter identification method was proposed. Firstly, an identification model was constructed based on the time-domain measurement signals and the theoretical prediction model with the time-domain precise integration method in the ...
Fluid Mechanics
A Mixed-Precision GMRES Acceleration Algorithm for Large Sparse Matrices in Fluid Dynamics Simulation
ZHENG Senwei, KOU Jiaqing, ZHANG Weiwei
2025, 46(1): 40-54. doi: 10.21656/1000-0887.450167
Abstract(244) HTML (97) PDF(55)
Abstract:
Due to low computational power consumption and high efficiency, GPUs/TPUs/NPUs with single/half-precision computing units make the main computing mode for artificial intelligence, but they can't be directly applied to solve differential equations requiring high floating-point accuracy, nor can they ...
ROE-Scheme Physics-Augmented Graph Neural Networks in Solving Eulerian and Laminar Flow Incompressible NS Equations
SONG Shangxiao, JIANG Longxiang, WANG Liyuan, CHU Xinkun, ZHANG Hao
2025, 46(1): 55-71. doi: 10.21656/1000-0887.450098
Abstract(218) HTML (138) PDF(42)
Abstract:
In recent years, the deep learning method incorporating physical information provided a new idea for solving partial differential equations. However, most of the studies so far has low computational accuracy and poor time extrapolation for problems with discontinuities in the solution space. To addr...
Electroosmotic Flows of Powell-Eyring Fluids in pH-Regulated Parallel Plate Nanochannels
CHANG Long, BUREN Mandula, NA Ren, SUN Yanjun, JIAN Yongjun
2025, 46(1): 72-83. doi: 10.21656/1000-0887.450137
Abstract(200) HTML (114) PDF(33)
Abstract:
Under the adjustment of solution pH values and background salt concentrations, the electroosmotic flows of the Powell-Eyring fluids in parallel plate nanochannels were studied with the homotopic perturbation method, and approximate solutions were obtained. The accuracy of the obtained approximate so...
Applications of a Fractional Diffusion Model With Variable Coefficients in Porous Medium
YAN Qi, LU Zhenhao, WANG Hongjing, FAN Wenping, MA Mingwei, NIU Yanan, WANG Liangjunhao
2025, 46(1): 84-91. doi: 10.21656/1000-0887.450010
Abstract(200) HTML (100) PDF(31)
Abstract:
Aimed at the anomalous diffusion behavior in porous medium, a time fractional diffusion model with variable coefficients was proposed to simulate the anomalous diffusion of methane in coal medium. The time fractional fractal diffusion model with constant coefficients was extended to the case with va...
Applied Mathematics
Research on Driving Factors of the RIOHTrack Rutting Prediction Model Based on Interpretable Ensemble Learning
LI Min, LI Zhuoxuan, SHI Xinli, CAO Jinde
2025, 46(1): 92-104. doi: 10.21656/1000-0887.450066
Abstract(231) HTML (102) PDF(33)
Abstract:
The transport infrastructure is the foundation of modern social and economic development, where the asphalt pavement plays an important role as a key component. Accurate prediction of asphalt pavement conditions is of great significance to guide pavement maintenance work. Rutting is an important ind...
Novel Soliton Solutions to KdV-Type Equations Based on Physics-Informed Neural Networks
QIU Tianwei, WEI Guangmei, SONG Yuxin, WANG Zhen
2025, 46(1): 105-113. doi: 10.21656/1000-0887.450122
Abstract(247) HTML (113) PDF(55)
Abstract:
Physics-informed neural networks (PINNs) were applied in combination with generalized Miura transformations to investigate 3 KdV-type equations. Several novel soliton solutions, including the kink-bell solution of the mKdV equation, were derived analytically with the improved PINN method; a single-s...
A Generalized BDF2-θ Finite Element Method for Nonlinear Distributed-Order Time-Fractional Hyperbolic Wave Equations
HOU Yaxin, LIU Yang, LI Hong
2025, 46(1): 114-128. doi: 10.21656/1000-0887.450013
Abstract(216) HTML (94) PDF(40)
Abstract:
A finite element (FE) method based on the generalized backward differentiation θ formula (generalized BDF2-θ) was presented to solve nonlinear distributed-order time-fractional hyperbolic wave equations. The temporal direction was approximated with the generalized BDF2-θ to get the FE fully discrete...
Cover And Contents
Cover And Contents
2025, 46(1)
Abstract(217) PDF(19)
Abstract: