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  • Open Access

    ARTICLE

    Improving the Dispersibility of Poly(urea-formaldehyde) Microcapsules for Self-Healing Coatings Using Preparation Process

    Yuhao Jiang, Jialan Yao, Chengfei Zhu*

    Journal of Renewable Materials, Vol.10, No.1, pp. 135-148, 2022, DOI:10.32604/jrm.2021.016304 - 27 July 2021

    Abstract Poly(urea-formaldehyde) (PUF) microcapsules were prepared by in-situ polymerization with four different processes in this paper. The chemical composition, surface morphology, particle size distribution, and thermal stability were characterized by FTIR, SEM, particle size analyzer, and TGA, respectively. The results demonstrated that the agglomeration of the PUF microcapsules was related to the agglomeration of the emulsion particles caused by the changes of emulsion interface during the shell polymerization. Due to the slow deposition of the shell material, the PUF microcapsules with the core-shell structure prepared by the process with ammonium chloride as the last additive showed More > Graphic Abstract

    Improving the Dispersibility of Poly(urea-formaldehyde) Microcapsules for Self-Healing Coatings Using Preparation Process

  • Open Access

    ARTICLE

    Cellular Automata Simulations of Random Pitting Process on Steel Reinforcement Surface

    Ying Wang*, Haoran Shi, Shibo Ren

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 967-983, 2021, DOI:10.32604/cmes.2021.015792 - 11 August 2021

    Abstract The corrosion of reinforcement in the concrete will cause the effective cross-sectional area of reinforcement to be weakened and the performance of reinforcement to change and lead to the degradation of the bond behavior between reinforcement and concrete, which can seriously affect the mechanical properties of the structural elements. Therefore, it is of great practical significance to accurately simulate the corrosion morphology and the corrosion products of reinforcement. This paper improves the previous cellular automata models and establishes a new cellular automata model framework for simulating the random pitting corrosion process of reinforcement in concrete.… More >

  • Open Access

    ARTICLE

    Prediction of the Corrosion Rate of Al–Si Alloys Using Optimal Regression Methods

    D. Saber1,*, Ibrahim B. M. Taha2, Kh. Abd El-Aziz3

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 757-769, 2021, DOI:10.32604/iasc.2021.018516 - 01 July 2021

    Abstract In this study, optimal regression learner methods were used to predict the corrosion behavior of aluminum–silicon alloys (Al–Si) with various Si ratios in different media. Al–Si alloys with 0, 1%, 8%, 11.2%, and 15% Si were tested in different media with different pH values at different stirring speeds (0, 300, 600, 750, 900, 1050, and 1200 rpm). Corrosion behavior was evaluated via electrochemical potentiodynamic test. The corrosion rates (CRs) obtained from the corrosion tests were utilized in the formation of datasets of various machine regression learner optimization (MRLO) methods, namely, decision tree, support vector machine,… More >

  • Open Access

    ARTICLE

    Quantifying the Mechanical Properties of White Sandstone Based on Computer Fractal Theory

    Yong Wang, Yongyan Wang*, Nan Qin, Sa Huang, Le Chang, Shunzheng Hou

    Computer Systems Science and Engineering, Vol.39, No.1, pp. 121-131, 2021, DOI:10.32604/csse.2021.014464 - 10 June 2021

    Abstract The work presented in this paper was conducted to quantify the relationship between the pore characteristics and mechanical properties of white sandstone. The study include tests carried out under the coupling effects of chemical corrosion, temperature, nuclear magnetic resonance, and mechanical tests. Computer fractal theory was employed to describe and quantify the characteristics of the growth of pores in white sandstone under the same coupling effect. A custom developed program code, in the MATLAB software platform, was used for calculating the growths of the pores in white sandstone when subjected to coupling effects. The correlation… More >

  • Open Access

    ARTICLE

    Corrosion Protection of 5083 AA in Saline Water by Polyacrylonitrile Nanofibers

    Enas H. Ali, Juman A. Naser*, Zainab W. Ahmed, Taki A. Himdan

    Journal of Renewable Materials, Vol.9, No.11, pp. 1927-1939, 2021, DOI:10.32604/jrm.2021.015624 - 04 June 2021

    Abstract Polymeric nanofibers are a promising technology to protect the metal surfaces from corrosion. Through the literature search, the use of polyacrylonitrile nanofibres (PANNFs) as a corrosion inhibitor coating for aluminum alloys has not been evaluated. This work includes the development of a new, lightweight, high surface area and efficient coating of PANNFs that produced using electrospinning process to resist the corrosion of aluminum alloys (AA5083) which immersed in 0.6 M NaCl at alkaline medium (pH = 12) and acidic medium (pH = 1) at a range of temperatures (293–323) K. The PANNFs coating was successfully… More >

  • Open Access

    ARTICLE

    An Early Stopping-Based Artificial Neural Network Model for Atmospheric Corrosion Prediction of Carbon Steel

    Phyu Hnin Thike1, 2, Zhaoyang Zhao1, Peng Liu1, Feihu Bao1, Ying Jin1, Peng Shi1, *

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2091-2109, 2020, DOI:10.32604/cmc.2020.011608 - 16 September 2020

    Abstract The optimization of network topologies to retain the generalization ability by deciding when to stop overtraining an artificial neural network (ANN) is an existing vital challenge in ANN prediction works. The larger the dataset the ANN is trained with, the better generalization the prediction can give. In this paper, a large dataset of atmospheric corrosion data of carbon steel compiled from several resources is used to train and test a multilayer backpropagation ANN model as well as two conventional corrosion prediction models (linear and Klinesmith models). Unlike previous related works, a grid searchbased hyperparameter tuning… More >

  • Open Access

    ARTICLE

    Characteristics on Seawater Corrosion of Intensely Weathered Surrounding Rock of Subsea Tunnel

    Peishuai Chen1,2,3,*, Junjie Cao4, Weizhong Chen3, Weisheng Rao2

    Structural Durability & Health Monitoring, Vol.14, No.2, pp. 147-163, 2020, DOI:10.32604/sdhm.2020.07619 - 23 June 2020

    Abstract Existing studies on the durability of subsea tunnel mainly focus on the concrete deterioration and steel corrosion, while there are few on the influence of mechanical properties deterioration of surrounding rock on the durability of subsea tunnel. To improve the accuracy of long-term stability prediction, seawater corrosion tests of intensely weathered surrounding rock of subsea tunnel are carried out. In this study, the strength characteristics of remolded samples of intensely weathered granite under different seawater concentrations are investigated, the strength attenuation equation under seawater corrosion is established, and the chemical damage evolution equation and model More >

  • Open Access

    ARTICLE

    Experimental Study on Fatigue Performance of Reinforced Concrete Beams in Corrosive Environment with Cyclic Loads

    Hui Wang1,2, Shiqin He1,*, Xiaoqiang Yin3, Zeyang Cao1

    Structural Durability & Health Monitoring, Vol.14, No.2, pp. 95-108, 2020, DOI:10.32604/sdhm.2020.06595 - 23 June 2020

    Abstract In marine environments, reinforced concrete bridge structures are subjected to cyclic loads and chloride ingress, which results in corrosion of the reinforcing bars, early deterioration, durability loss, and a considerable reduction in the fatigue strength. Owing to the complexity of the problem and the difficulty of testing, there are few studies on the fatigue performance of concrete structures under the combined action of corrosion environment and cyclic load. Therefore, a coupling test device for corrosion and cyclic load is designed and fatigue tests of reinforced concrete beams in air environments and chlorine salt corrosive environments… More >

  • Open Access

    ARTICLE

    Corrosion Performance of Stainless Steel Reinforcement in the Concrete Prepared with Seawater and Coral Waste and Its Ecological Effects

    Xingguo Feng1,2,3, Yiji Zhang1, Xiangyu Lu1,*, Yiwen Xu1, Leyuan Zhang1, Chao Zhu1, Tong Wu1, Yashi Yang4, Xuhui Zhao5

    Journal of Renewable Materials, Vol.8, No.5, pp. 513-534, 2020, DOI:10.32604/jrm.2020.09549 - 29 April 2020

    Abstract Durability and ecological effects of the stainless steel reinforced coral waste concrete were compared with those of the carbon steel reinforced ordinary concrete. The results showed that the corrosion current densities of the stainless steel in the coral waste concrete were less than one-tenth of those of the carbon steel in the same grade ordinary concrete. The stainless steel in the seawater coral waste concrete maintained passivation even after more than two years of immersion in 3.5% NaCl solution, while the carbon steel counterparts in the ordinary concrete were seriously corroded under the same condition. More >

  • Open Access

    ARTICLE

    Improved Corrosion Resistance of Carbon Reinforced Aluminium Laminates in Atmospheric Environment: Role of Environment Friendly Jute Fibre/ Alumina nano Coating

    M. VASUMATHI1,a,*, VELA MURALI2,b, S. RASHIA BEGUM1,c, N. RAJENDRAN2,d

    Journal of Polymer Materials, Vol.36, No.1, pp. 1-11, 2019, DOI:10.32381/JPM.2019.36.01.1

    Abstract In the Fibre Metal Laminate (FML), Carbon Reinforced Aluminium laminate (CARALL), aluminium is placed next to carbon fibres. The potential difference between the aluminium and carbon is larger, leads to galvanic corrosion, which tries to bring down the durability of the FML. To bring down the effect of corrosion, a material layer is introduced between fibres and aluminium so as to separate them thus lowering the possibility of occurrence of corrosion. Another approach is to coat the surfaces of aluminium with different proportions of aluminium oxide nano particles prior to fabrication of the FML. For More >

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