Yangao Hu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09773

Abstract This paper investigates the effects of graphene oxide (GO), notch depth, rebar, and load on the resistivity of cement paste and mortar. The electrical conductivity of GO/cement composite reaches its maximum value when the GO content is 0.03%, which is approximately 50% higher compared to the composite without GO. The resistivity of GO/cement composite shows significant changes with increasing load from 0 to 40 kN. The gauge factor for compressive loading varies from about 26 to 73 for different GO contents. Moreover, the resistivity variation with the notch depth in GO/cement is found to be much greater than that in… More >

Ting Qu, Bo Wang, Hequn Min^*

Journal of Renewable Materials, Vol.11, No.9, pp. 3433-3446, 2023, DOI:10.32604/jrm.2023.027136

Abstract With the growing global environmental awareness, the development of renewable and green materials has gained increased worldwide interest to substitute conventional materials and are favorable for sustainable economic development. This paper proposed a novel eco-friendly sound absorbing structure (NSAS) liner for noise reduction in elevator shafts. The base layer integrated with the shaft walls is a damping gypsum mortarboard, and a rock wool board and a perforated cement mortarboard are used to compose the NSAS. Based on the acoustic impedance theory of porous materials and perforated panels, the sound absorption theory of the NSAS was proposed; the parameter effects of… More >

Jun Li¹, Guofeng Cheng², Hongwei Xiao³, Xiang Li⁴, Lizhi Wang⁴, Hui Xu^5,*, Yu Wang⁶, Nannan Liu⁵, Shangping Chen⁵, Xing Shi⁵

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.10, pp. 2695-2706, 2023, DOI:10.32604/fdmp.2023.028115

Abstract Assuming a reservoir with a typical salt-lake background in the Qaidam Basin as a testbed, in this study the variation law of the rock electrical parameters has been determined through water displacement experiments with different salinities. As made evident by the results, the saturation index increases with the degree of water injection. When the salinity of the injected water is lower than 80000 ppm, the resistivity of the rock sample first decreases, then it remains almost constant in an intermediate stage, and finally it grows, thereby giving rise to a ‘U’ profile behavior. As the salinity decreases, the water saturation… More > Graphic Abstract

Peng Chen^*, Wentao Shi, Jian Wan, Lu Huang

Journal of Renewable Materials, Vol.11, No.2, pp. 1017-1029, 2023, DOI:10.32604/jrm.2023.023699

Abstract The poly(epoxy-N-methylaniline) conductive organic carrier was used as the bonding phase of the low-temperature conductive silver paste. Then, this was mixed with different proportions of silver powder to prepare the lowtemperature conductive silver paste. Afterwards, the effect of the conductive organic carrier on the properties of the low-temperature conductive silver paste was determined by IR, DMA and SEM. The results revealed that the prepared conductive paste has good conductivity, film-forming performance, printing performance, low-temperature curing performance, and anti-aging performance. When the mass percentage of the bonding phase/conductive phase was 40/60, the lowest volume resistivity of the conductive silver paste was… More > Graphic Abstract

P. Sittisart^1,*, M.M. Hyland¹, M.A. Hodgson¹, C. Nguyen², A. Fernyhough³

Journal of Renewable Materials, Vol.2, No.4, pp. 264-269, 2014, DOI:10.7569/JRM.2014.634123

Abstract A series of composites based on polypropylene with different loadings of nickel-coated cellulose fi bres (NCCF) were fabricated with the aim to create a composite suitable for EMI shielding and/or electrostatic discharge application. Various properties such as EMI shielding effectiveness, surface resistivity, volume resistivity and fl exural strength were characterised according to ASTM standard. Both surface and volume resistivity suggested that the electrical conductivity of NCCF was not high enough and the composite remains electrically non-conducting up to 40 wt% loading of NCCF. However, nickel particles were still able to shield electromagnetic radiation regardless of their connectivity and conductivity. This… More >

Yu Tang¹, Jingcun Yu¹, Benyu Su^1,3,*, Zhixiong Li²

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 679-688, 2022, DOI:10.32604/fdmp.2022.019609

Abstract The complex resistivity of coal and related rocks contains abundant physical property information, which can be indirectly used to study the lithology and microstructure of these materials. These aspects are closely related to the fluids inside the considered coal rocks, such as gas, water and coalbed methane. In the present analysis, considering different lithological structures, and using the Cole-Cole model, a forward simulation method is used to study different physical parameters such as the zero-frequency resistivity, the polarizability, the relaxation time, and the frequency correlation coefficient. Moreover, using a least square technique, a complex resistivity “inversion” algorithm is written. The… More >

Alamusi, Yaolu Liu, Ning Hu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.16, No.2, pp. 57-58, 2011, DOI:10.3970/icces.2011.016.057

Abstract In this work, we propose a 3 dimensional (3D) numerical model to predict the piezoresistivity behaviours of a nanocomposite material made from an insulating polymer filled by carbon nanotubes (CNTs). This material is very hopeful for its application in highly sensitive strain sensor by measuring its piezoresistivity, i.e., the ratio of resistance change versus applied strain. In this numerical approach, a 3D resistor network model is firstly proposed to predict the electrical conductivity of the nanocomposite with a large amount of randomly dispersed CNTs under the zero strain state. By focusing on the fact that the piezoresistivity of the nanocomposite… More >

Luis Rodríguez-Tembleque^1,*, 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 >

J.N. Johnson¹, J.M. Owen²

CMES-Computer Modeling in Engineering & Sciences, Vol.22, No.3, pp. 165-188, 2007, DOI:10.3970/cmes.2007.022.165

Abstract In this paper, we propose a Meshless Local Petrov-Galerkin method for studying the diffusion of a magnetic field within a non-magnetic (μ = μ₀) conducting medium with non-homogeneous and anisotropic electrical resistivity. We derive a local weak form for the magnetic diffusion equation and discuss the effects of different trial/test functions and nodal spacings on its solution. We then demonstrate that the method produces convergent results for several relevant one-dimensional test problems for which solutions are known. This method has the potential to be combined with other mesh-free methods such as Smoothed Particle Hydrodynamics (SPH) to solve problems in resistive… More >

Alamusi¹, Y.L. Liu¹, N. Hu^1,2

CMC-Computers, Materials & Continua, Vol.20, No.2, pp. 101-118, 2010, DOI:10.3970/cmc.2010.020.101

Abstract In this work, we propose a 3 dimensional (3D) numerical model to predict the piezoresistivity behaviors of a nanocomposite material made from an insulating polymer filled by carbon nanotubes (CNTs). This material is very hopeful for its application in highly sensitive strain sensor by measuring its piezoresistivity, i.e., the ratio of resistance change versus applied strain. In this numerical approach, a 3D resistor network model is firstly proposed to predict the electrical conductivity of the nanocomposite with a large amount of randomly dispersed CNTs under the zero strain state. By focusing on the fact that the piezoresistivity of the nanocomposite… More >