Haiyang Ding^1,2,3,4,5, Xiaohua Yang^1,2,3,4,5, Lina Xu^1,2,3,4,5, Shouhai Li^1,2,3,4,5, Jianling Xia^1,2,3,4,5, Mei Li^1,2,3,4,5,*

Journal of Renewable Materials, Vol.8, No.1, pp. 1-11, 2020, DOI:10.32604/jrm.2020.08165

Abstract Thermosetting polyurethanes are widely used in various fields owing to their excellent elasticity, strength and solvent resistance. Three environmental friendly propyl gallate-based self-healing polyurethanes were prepared from polyurethane prepolymers with varying isocyanate content. The thermal stabilities of the polyurethanes were tested using thermogravimetric analysis. Their self-healing and mechanical properties were analyzed using a universal testing machine and dynamic thermomechanical analysis. The polyurethanes were found with high self-healing ability and excellent mechanical properties due to the absence of phenolic carbamate. These qualities improved with increased isocyanate content and the prolonged selfhealing time. We found, therefore, that the propyl gallate-based polyurethane has… More >

Guozhong Dai^1,*, Jia Zhu², Guicai Shi³, Yanmin Sheng⁴, Shujin Li⁵

Structural Durability & Health Monitoring, Vol.11, No.2, pp. 169-190, 2017, DOI:10.3970/sdhm.2017.011.169

Abstract As the landfill leachate has strong pollution on the underground water, surface water and soil. This paper develops the formula of impervious slurry with low permeability, good durability, strong adsorption and retardant based on the bentonite which is modified by polyvinyl alcohol. Through the simulation experiment, the optimum formula of polyvinyl alcohol is 0.2%. Its osmotic coefficient for 28 days is 0.53×10-8~1.86×10-8 cm/s and compressive strength is 0.5~1.5 MPa as well. This paper study on the retardant rule of the consolidation of slurry against the pollution in the leachate by self-made percolation instrument. The experiment shows that the retardant rate… More >

Yang Song¹, Jennifer Soto¹, Song Li^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 92-92, 2019, DOI:10.32604/mcb.2019.07345

Abstract Cell reprograming technologies have broad applications in cell therapy, disease modeling and drug screening. Direct reprogramming of fibroblasts into induced neuronal (iN) cells has been achieved via the forced expression of three transcription factors: Ascl1, Brn2 and Myt1l. Accumulative evidence suggests that biophysical factors in the microenvironment can regulate the epigenetic state and cell reprogramming. However, whether intracellular mechanical properties regulate cell reprogramming remains unknown. Here, we show for the first time, that the mechanical property of cells is modulated during the early phase of reprogramming as determined by atomic force microscopy (AFM) and high-throughput quantitative deformability cytometry (q-DC). We… More >

Sevan Goenezen^1,*, Ping Luo¹, Baik Jin Kim¹, Maulik Kotecha¹, Yue Mei^2,3

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 46-48, 2019, DOI:10.32604/mcb.2019.07348

Abstract It is well known that the mechanical properties of tissues may vary spatially due to changing tissue types or due to inherent tissue disease. For example, the biomechanical properties are known to vary throughout blood vessels [1]. Diseases such as cancers may also lead to locally altered mechanical properties, thus allow a preliminary diagnosis via finger palpation. Quantifying the mechanical property distribution of tissues for a given constitutive equation will allow to characterize the biomechanical response of tissues. This may help to 1) predict disease progression, 2) diagnose diseases that alter the biomechanics of the tissue, e.g., skin cancers, breast… More >

Shengda Chen^1,2, Candra Ratna Sari¹, Patrick Segers², Guixue Wang¹, Xingshuang Ma^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 69-70, 2019, DOI:10.32604/mcb.2019.05740

Abstract This article has no abstract. More >

Donghong He¹, Hang Ma^{2, *}

CMES-Computer Modeling in Engineering & Sciences, Vol.118, No.1, pp. 15-40, 2019, DOI:10.31614/cmes.2019.04327

Abstract To deal with the problems encountered in the large scale numerical simulation of three dimensional (3D) elastic solids with fluid-filled pores, a novel computational model with the corresponding iterative solution procedure is developed, by introducing Eshelby’s idea of eigenstrain and equivalent inclusion into the boundary integral equations (BIE). Moreover, by partitioning all the fluid-filled pores in the computing domain into the near- and the far-field groups according to the distances to the current pore and constructing the local Eshelby matrix over the near-field group, the convergence of iterative procedure is guaranteed so that the problem can be solved effectively and… More >

Wen-Jay Lee^1,*, Yu-Chien Lo², Anchen Yang³, Kuanpeng Chen³, Nan-Yow Chen³

CMES-Computer Modeling in Engineering & Sciences, Vol.120, No.2, pp. 293-304, 2019, DOI:10.32604/cmes.2019.06620

Abstract Different thickness of amorphous/nanocrystalline multi-layered structure can be used to modulate the strength and ductility of the composite materials. In this work, molecular dynamics simulations were conducted to study the thickness effect of nanocrystalline layer on mechanical properties and deformation behavior of the Cu₆₄Zr₃₆/Cu multi-layer structure. The stress-strain relationship, local stress, local strain, and deformation mechanism are investigated. The results reveal that the change of thickness of the crystalline layer significantly affects the mechanical properties and deformation behavior. As the strain at the elastic region, the amorphous Cu₆₄Zr₃₆ layer dominates the mechanical behavior, leading the fact that Young’s modulus, first… More >

L.B. Borkowski¹, K.C. Liu¹, A. Chattopadhyay¹

CMC-Computers, Materials & Continua, Vol.37, No.3, pp. 161-193, 2013, DOI:10.3970/cmc.2013.037.161

Abstract The microstructural variation in fiber-reinforced composites has a direct relationship with its local and global mechanical performance. When micromechanical modeling techniques for unidirectional composites assume a uniform and periodic arrangement of fibers, the bounds and validity of this assumption must be quantified. The goal of this research is to quantify the influence of microstructural randomness on effective homogeneous response and local inelastic behavior. The results indicate that microstructural progression from ordered to disordered decreases the tensile modulus by 5%, increases the shear modulus by 10%, and substantially increases the magnitude of local inelastic fields. The experimental and numerical analyses presented… More >

C.J. Huang¹, T.Y. Hung¹, K.N. Chiang²

CMC-Computers, Materials & Continua, Vol.36, No.2, pp. 99-133, 2013, DOI:10.3970/cmc.2013.036.099

Abstract The development in the field of nanotechnology has prompted numerous researchers to develop various simulation methods for determining the material properties of nanoscale structures. However, these methods are restricted by the speed limitation of the central processing unit (CPU), which cannot estimate larger-scale nanoscale models within an acceptable time. Thus, decreasing the CPU processing time and retaining the estimation accuracy of physical properties of nanoscale structures have become critical issues. Accordingly, this study aims to decrease the CPU processing time and complexity of large nanoscale models by utilizing, atomistic-continuum mechanics (ACM) to build an equivalent model of carbon nanotubes (CNTs).… More >

Hsien-Chie Cheng¹, Yu-Chen Hsu², Wen-Hwa Chen²

CMC-Computers, Materials & Continua, Vol.11, No.2, pp. 127-146, 2009, DOI:10.3970/cmc.2009.011.127

Abstract Due to the limitation of fabrication technologies nowadays, structural or atomistic defects are often perceived in carbon nanotubes (CNTs) during the manufacturing process. The main goal of the study aims at providing a systematic investigation of the effects of atomistic defects on the nanomechanical properties and fracture behaviors of single-walled CNTs (SWCNTs) using molecular dynamics (MD) simulation. Furthermore, the correlation between local stress distribution and fracture evolution is studied. Key parameters and factors under investigation include the number, type (namely the vacancy and Stone-Wales defects), location and distribution of defects. Results show that the nanomechanical properties of the CNTs, such… More >