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2022 Vol. 38, No. 3

SUBJECT
Topology optimization of magnetorheological smart materials included PnCs for tunable wide bandgap design
Liang Kuan, He Jingjie, Jia Zhiyuan, Zhang Xiaopeng
2022, 38(3): 421525. doi: 10.1007/s10409-021-09076-5
Abstract:

Design and application of tunable phononic crystals (PnCs) are attracting increasing interest due to their promising capabilities to manipulate acoustic and elastic waves effectively. This paper investigates topology optimization of the magnetorheological (MR) materials including PnCs for opening th...

Mechanosensation of osteocyte with collagen hillocks and primary cilia under pressure and electric field stimulation
Wang Yan, Li Chaoxin, Dong Hao, Yu Jianhao, Yan Yang, Wu Xiaogang, Wang Yanqin, Li Pengcui, Wei Xiaochun, Chen Weiyi
2022, 38(3): 621569. doi: 10.1007/s10409-022-09004-x
Abstract:

Mechanosensors are the most important organelles for osteocytes to perceive the changes of surrounding mechanical environment. To evaluate the biomechanical effectiveness of collagen hillock, cell process and primary cilium in lacunar-canalicular system (LCS), we developed pressure-electricity-struc...

On the some issues of particle motion in the flow of viscoelastic fluids
Li Zhenna, Lin Jianzhong
2022, 38(3): 321467. doi: 10.1007/s10409-022-09008-x
Abstract:

Particle motion in confined shear flow of viscoelastic fluids is very common in nature and has a wide range of applications. Understanding and mastering the motion characteristics of particles in viscoelastic fluids has important academic value and practical significance. In this paper, we first int...

Generalized Aifantis strain gradient plasticity model with internal length scale dependence on grain size, sample size and strain
Zhao Jianfeng, Zhang Bo, Liu Dabiao, Konstantinidis Avraam A., Kang Guozheng, Zhang Xu
2022, 38(3): 421188. doi: 10.1007/s10409-022-09009-2
Abstract:

The internal length scale (ILS) is a dominant parameter in strain gradient plasticity (SGP) theories, which helps to successfully explain the size effect of metals at the microscale. However, the ILS is usually introduced into strain gradient frameworks for dimensional consistency and is model-depen...

SOLID MECHANICS
Extreme transmission of elastic metasurface for deep subwavelength focusing
Jiang Mu, Zhou Hong-Tao, Li Xiao-Shuang, Fu Wen-Xiao, Wang Yan-Feng, Wang Yue-Sheng
2022, 38(3): 121497. doi: 10.1007/s10409-021-09073-z
Abstract:

In this paper, elastic metasurfaces composed of zigzag units are proposed to manipulate flexural waves at a deep subwavelength scale. Through the parameter optimization of the genetic algorithm, units with full transmission and full phase control can be found, while the width is only one-fifth of th...

Probing the constitutive behavior of microcrystals by analyzing the dynamics of the micromechanical testing system
Wang Peng, Liu Zhanli, Xie Degang, Qu Shaoxing, Zhuang Zhuo, Zhang Danli
2022, 38(3): 121300. doi: 10.1007/s10409-021-09077-5
Abstract:

The constitutive behavior of microcrystals remains mysterious since very little, or no information regarding plastic deformation in the measured stress-strain curve is available due to plastic instability. Furthermore, the measured stress-strain curves vary greatly under different control modes, whi...

RESEARCH PAPER
Analytical solution for concentration distribution in an open channel flow with phase exchange kinetics
Barik Swarup, Dalal D. C.
2022, 38(3): 321506. doi: 10.1007/s10409-021-09037-y
Abstract:

This study is about an analytical attempt that explores the two-dimensional concentration distribution of a solute in an open channel flow. The solute undergoes reversible sorption at the channel bed. The method of multiple scales is used to find the two-dimensional concentration distribution, which...

Modeling of the turbulent burning velocity for planar and Bunsen flames over a wide range of conditions
Lu Zhen, Yang Yue
2022, 38(3): 121504. doi: 10.1007/s10409-021-09027-3
Abstract:

We develop and assess a model of the turbulent burning velocity sT over a wide range of conditions. The aim is to obtain an explicit sT model for turbulent combustion modeling and flame analysis. The model consists of sub models of the stretch factor and the turbulent flame area. The stretch factor ...

VIBRATION AND CONTROL
Effect of gauge corner lubrication on wheel/rail non-Hertzian contact and rail surface damage on the curves
Yang Yunfan, Guo Xinru, Ling Liang, Wang Kaiyun, Zhai Wanming
2022, 38(3): 521522. doi: 10.1007/s10409-022-09002-x
Abstract:

Wheel/rail rolling contact is a highly nonlinear issue affected by the complicated operating environment (including adhesion conditions and motion attitude of train and track system), which is a fundamental topic for further insight into wheel/rail tread wear and rolling contact fatigue (RCF). The r...

Nonlinear size-dependent dynamic instability and local bifurcation of FG nanotubes transporting oscillatory fluids
Jin Qiduo, Ren Yiru
2022, 38(3): 521513. doi: 10.1007/s10409-021-09075-x
Abstract:

Oscillation of fluid flow may cause the dynamic instability of nanotubes, which should be valued in the design of nanoelectromechanical systems. Nonlinear dynamic instability of the fluid-conveying nanotube transporting the pulsating harmonic flow is studied. The nanotube is composed of two surface ...

Adaptive subdomain integration method for representing complex localized geometry in ANCF
He Gang, Gao Kang, Yu Zuqing, Jiang Jun, Li Qian
2022, 38(3): 521442. doi: 10.1007/s10409-021-09032-x
Abstract:

In this work, we propose incorporating the finite cell method (FCM) into the absolute nodal coordinate formulation (ANCF) to improve the efficiency and robustness of ANCF elements in simulating structures with complex local features. In addition, an adaptive subdomain integration method based on a t...

FLUID MECHANICS
Stability analysis of quasicrystal torsion micromirror actuator based on the strain gradient theory
Huang Yunzhi, Feng Miaolin, Chen Xiuhua
2022, 38(3): 521390. doi: 10.1007/s10409-021-09031-x
Abstract:

Electrostatic torsional micromirrors are widely applied in the fields of micro-optical switches, optical attenuators, optical scanners, and optical displays. In previous lectures, most of the micromirrors were twisted along the uniaxial or biaxial direction, which limited the range of light reflecti...

Coordinated motion of molecular motors on DNA chains with branch topology
Lu Di, Chen Bin
2022, 38(3): 621225. doi: 10.1007/s10409-021-09045-x
Abstract:

To understand the macroscopic mechanical behaviors of responsive DNA hydrogels integrated with DNA motors, we constructed a state map for the translocation process of a single FtsKC on a single DNA chain at the molecular level and then investigated the movement of single or multiple FtsKC motors on ...

Research on phosphorus release from resuspended sediment under wind-induced waves in shallow water
Cheng Pengda, Zhu Xinguang, An Yi, Feng Chun
2022, 38(3): 321399. doi: 10.1007/s10409-021-09023-z
Abstract:

Sediment-water interfaces are important interfaces for lakes, which are related to most environmental and ecological problems. Wind-induced waves cause secondary pollution via sediment resuspension. Since the coupling mechanism of water, resuspended sediments, and phosphorus affects the release of p...

Topological edge state analysis of hexagonal phononic crystals
Zhang Kai, Hong Fang, Luo Jie, Deng Zichen
2022, 38(3): 421455. doi: 10.1007/s10409-021-09030-x
Abstract:

In this study, we propose valley phononic crystals that consist of a hexagonal aluminum plate with six chiral arrangements of ligaments. Valley phononic crystals were introduced into a topological insulator (TI) system to produce topologically protected edge waves (TPEWs) along the topological inter...

MACHINE LEARNING
One neural network approach for the surrogate turbulence model in transonic flows
Zhu Linyang, Sun Xuxiang, Liu Yilang, Zhang Weiwei
2022, 38(3): 321187. doi: 10.1007/s10409-021-09057-z
Abstract:

With the rapid development of artificial intelligence techniques such as neural networks, data-driven machine learning methods are popular in improving and constructing turbulence models. For high Reynolds number turbulence in aerodynamics, our previous work built a data-driven model applicable to s...