Open Access
ABSTRACT
Shunying Ji*, Siqiang Wang
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 94-94, 2019, DOI:10.32604/icces.2019.04805
Abstract Granular flow is commonly encountered in industry or nature, and is significantly affected by particle shapes. Super-quadric particles which can construct the geometric shape of irregular particles are simulated by the Discrete Element Method (DEM). In this study, the influence of aspect ratio and blockiness of particles on the flow characteristics is investigated, and the different discharge angles are used for different shaped particles to show the superposed effect of hopper configuration. Meanwhile, the Lacey mixing index is used to explore the effects of particle shapes on the mixing and motion of the granular system in a horizontal rotating drum.… More >
Open Access
ABSTRACT
Liang Yang1,*, Andrew Buchan2, Alan Jones1, Paul Smith1, Mikio Sakai3, Christopher Pain1
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 95-95, 2019, DOI:10.32604/icces.2019.05077
Abstract In the event of a severe accident, a large part of the core may collapse and form a debris bed. Debris bed coolability is important to avoid releasing the radioactive materials to the environment. If it is not rapidly cooled, the debris bed will begin to melt and become harder to cool. To stop or slow down the accident evolution, the main approach is to inject water into the reactor core. However, the success of the cooling is not guaranteed depending on the debris bed and the operating condition. This procedure is challenging to understand and model, as it involves… More >
Open Access
ABSTRACT
Qinfu Hou1,*, Dianyu E.1,2, Shibo Kuang1, Aibing Yu1,3
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 96-97, 2019, DOI:10.32604/icces.2019.05438
Abstract Intensive heat and mass transfer between continuum fluids and discrete particulate materials plays a critical role in many chemical reactors [1]. For example, the shaft furnace and the blast furnace in ironmaking are operated with continuous charge and discharge of solid materials, and it takes hours for the solid materials moving from the furnace top to the bottom. To understand and improve the operation of these reactors, discrete particle models are very helpful when combined with flow, heat and mass transfer, and chemical reaction models [2-6]. However, due to the high computational cost with such discrete particle models, it is… More >
Open Access
ABSTRACT
Ji Li, Shunying Ji*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 98-98, 2019, DOI:10.32604/icces.2019.05491
Abstract An important issue for MIZ (Marginal Ice Zone) simulation is the correct prediction of ice-wave interaction. The energy of wave will be eliminated and at the same time induces the breakage and fragment of level ice. To study ice failure and the floe-size distribution (FSD) after fracture will help to improve the accuracy of further numerical simulation. We present a three-dimensional DPDEM (Dilated Polyhedral Discrete Element Method) in which element is similar to the real shape of single block to simulate the ice fracture process under the wave load. A large number of polyhedral ice elements generated with Voronoi tessellation… More >
Open Access
ABSTRACT
Hongri Zhu, Shunying Ji *
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 99-99, 2019, DOI:10.32604/icces.2019.05493
Abstract First-year ice ridges determine the design load of moored structures in many Arctic and sub-Arctic regions. Their interactions with moored structures were simulated with discrete element method (DEM), considering the complex internal structures of ice ridges. In the simulation, ice ridges were modeled as an assembly of consolidated ice blocks randomly packed through a dynamic process. The shapes of ice blocks were generated based on Voronoi tessellation and then filled with bonded sphere elements. The model was calibrated and validated by comparing the numerical results with the punch through experiments and direct shear box experiments data in the literature. Based… More >
Open Access
ABSTRACT
Wenjing Yang*, Peijin Liu, Qiang Li, Guoqiang He
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 100-100, 2019, DOI:10.32604/icces.2019.05495
Abstract Particle manipulation due to SSAW has been spread widely in many lab-on-a-ship applications such as flow cytometry, single molecular detection, protein folding, cell sorting and enzymatic kinetics. For microflow, particle separation can be quite difficult, since the laminar nature of microfluidic flow predominantly determines the particle motion following the fixed streamlines. Thus the lateral forces are necessary to change the original path of particles, involving hydrodynamic force, electro-kinetic force, dielectrophoresis force and acoustic force. To date, the standing surface acoustic wave (SSAW) shows the unique abilities in separating particles in micro-channel. Based on particle size, density and shape, with proper… More >
Open Access
ABSTRACT
Lianping Wu, Wenshan Yu*, Shuling Hu, Shengping Shen*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 101-101, 2019, DOI:10.32604/icces.2019.05016
Abstract Multiple collision cascades (MCC) of nanotwinned (nt) Cu with three different twin spacings are performed to model the response of nt Cu upon a radiation dose of 1 displacement per atom (dpa). The microstructural evolutions during the radiation process shows that the main radiation defect in Cu is stacking fault tetrahedron (SFT). Smaller size of defect clusters and lower defect density are seen in the nt Cu with smaller twin spacing. Besides, the potential formation and elimination mechanisms of SF are found to be due to the climb of Frank partial dislocation and glide of Shockley partial dislocations. Furthermore, we… More >
Open Access
ABSTRACT
Luis Rodríguez-Tembleque1,*, Enrique García-Macías1, Federico C. Buroni1, Felipe García-Sánchez2, Andrés Sáez1
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 102-102, 2019, DOI:10.32604/icces.2019.05138
Abstract The unique intrinsic physical properties, particularly rigidity and strength-to-weight ratio, of carbon nanotubes (CNTs) suggest that they are ideal fillers for high performance composites. However, most recent advances have allowed not only their rigidity and strength capacity, but also additional self-sensing capabilities. Such multifunctional capabilities of CNT reinforced composites open a vast range of possibilities in the field of Structural Health Monitoring. In particular, this work analyzes-from a numerical perspective-two possible effective implementations of CNTs reinforcements for crack and damage detection in structures or mechanical systems. The first strategy considers a reinforced epoxy strip-like sensor on a structure that assists… More >
Open Access
ABSTRACT
Enrique García-Macías1, Luis Rodríguez-Tembleque1, Felipe García-Sánchez2, Andrés Sáez1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 103-103, 2019, DOI:10.32604/icces.2019.05220
Abstract Enhancing the strength-to-weight ratio in structural engineering has traditionally attracted great research efforts from both scientist and practicing engineers. Development of new composite materials and/or alternative structural configurations have led to slender designs, which may be prone to buckling failure. Meanwhile, the most recent advances in the field of Nanotechnology have allowed the development of new composite materials with not only low weight and adequate load-bearing capacity, but also additional self-sensing capabilities. Such multifunctional composites open a vast range of possibilities in the field of Structural Health Monitoring. In particular, this work analyzes-from a numerical perspective-the effective implementation of carbon… More >
Open Access
ABSTRACT
Cristiano Ubessi1, Federico C. Buroni2,*, Gabriel Hattori3, Andrés Sáez4, Rogério J. Marczak1
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 104-104, 2019, DOI:10.32604/icces.2019.05420
Abstract Efficient three-dimensional infinite Green’s function and its first- and second-order derivatives for materials with piezoelectric coupling are studied in this paper. The procedure is based on an explicit solution recently introduced by the authors which presents three valuable characteristics: (i) it is explicit in terms of the Stroh’s eigenvalues, (ii) it remains well-defined when some Stroh’s eigenvalues are repeated (mathematical degeneracy) or nearly equal (quasi-mathematical degeneracy), and (iii) it is exact. Then, this solution is used to compute coefficients for a double Fourier series representation of the Green’s function and its derivatives. These Fourier expansion representations are realvariable which is… More >
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