Yaoguo Liu¹, Yao Chen², Huifang Liu², Wei Chen¹, Zhiwei Lei², Chiyu Ma², Jie Yin¹, Wen Yang^2,*

Journal of Renewable Materials, Vol.11, No.2, pp. 811-823, 2023, DOI:10.32604/jrm.2022.022594 - 22 September 2022

Abstract Citral (Eo) exhibits excellent fungicidal activities. However, it is difficult to maintain long-term fungicidal activity due to its strong volatility. Herein, a controlled-release strategy by using biomass-derived porous carbon (BC) was developed to overcome the drawback of Eo. New composite materials were prepared by loading Eo on tea stem porous carbon (BC@Eo), and their controlled-release fungicidal activity against Exobasidium vexans was assessed. BC with a large specific surface area of 1001.6 m²/g and mesoporous structure was fabricated through carbonization temperature of 700°C. The BC@Eo materials were characterized using Fourier-transform infrared spectroscopy and X-ray powder diffraction. The results… More > Graphic Abstract

Dalong Liao, Dongxu Li^*, Shun Zhou, Xiaotao Zhang, Ying Fang^*

Journal of Renewable Materials, Vol.11, No.2, pp. 625-641, 2023, DOI:10.32604/jrm.2022.022501 - 22 September 2022

Abstract Graphene oxide (GO) as a new nano-enhancer in cement-based materials has gained wide attention. However, GO is easy to aggregate in alkaline cement mortar with poor dispersibility. This hinders its application in practical infrastructure construction. In this work, GO-M18 polycarboxylate compound superplasticizer (GM) were obtained by compounding the M18 polycarboxylate superplasticizer with GO solution at different mass ratios. The dispersion of GM in alkaline solution was systematically studied. The phases and functional groups of GM were characterized by XRD and FTIR. The effects of GM on the cement mortar hydration and the formation of microstructure… More > Graphic Abstract

Ben Chen^1,2, Sarah Mohrmann^1,2, Haitao Li^1,2,*, Milan Gaff³, Rodolfo Lorenzo⁴, Ileana Corbi⁵, Ottavia Corbi⁵, Kaidong Fang⁶, Min Li⁶

Journal of Renewable Materials, Vol.11, No.2, pp. 599-623, 2023, DOI:10.32604/jrm.2022.022452 - 22 September 2022

Abstract Straw is a general term for the stem and leaf parts of mature crops, and is a multi-purpose renewable biomass energy resource in the agricultural ecosystem. The prospect of comprehensive utilization of straw has become broad with the development of agricultural production, the advancement of science and technology, and the improvement of the level of agricultural mechanization. The comprehensive utilization of straw plays an important role in enhancing the sustainable development ability of agricultural economy and improving the current situation of comprehensive utilization of agricultural resources in my country. This paper briefly combs the development… More >

Pan Zhang, Lingling Xu^*, Xin Shi, Zemeng Guo, Jiajia Cheng

Journal of Renewable Materials, Vol.11, No.2, pp. 689-705, 2023, DOI:10.32604/jrm.2022.022232 - 22 September 2022

Abstract Cold chain transportation is currently a hot research topic. Since the traditional refrigeration methods lead to the consumption of large amounts of energy, the search for new energy storage materials is a major trend. In the present contribution, n-dodecane/PMMA microencapsulated phase change materials were prepared by suspension polymerization for ice-temperature cold chain transportation and their preparation parameters were explored using the encapsulation ratio as optimization indicator. The results show that the n-dodecane-containing microcapsules have a maximum encapsulation ratio of 93.2% when using a core-to-wall ratio of 3:1, 5% of emulsifier, 30% of crosslinker, and 2000 rpm of More >

Peng Zhang¹, Dongsheng Shi^1,*, Ping Han^1,2, Wenchao Jiang^1,3

Journal of Renewable Materials, Vol.11, No.2, pp. 669-688, 2023, DOI:10.32604/jrm.2022.022192 - 22 September 2022

Abstract The destruction of concrete building materials in severely cold regions of the north is more severely affected by freeze-thaw cycles, and the relationship between the mechanical properties and pore structure of concrete with fine aggregate from municipal solid waste (MSW) incineration bottom ash after freeze-thaw cycles is analyzed under the degree of freeze-thaw hazard variation. In this paper, the gray correlation method is used to calculate the correlation between the relative dynamic elastic modulus, compressive strength, and microscopic porosity parameters to speculate on the most important factors affecting their changes. The GM (1,1) model was… More >

Mingkai Sun^1,*, Yanan Wang², Pingwei Jiang¹, Zerong Song³, Zhan Gao⁴, Jiaming Xu⁵

Journal of Renewable Materials, Vol.11, No.2, pp. 643-668, 2023, DOI:10.32604/jrm.2022.022168 - 22 September 2022

Abstract A composite rubber concrete (CRC) was designed by combining waste tire rubber particles with particle sizes of 3~5 mm, 1~3 mm and 20 mesh. Taking the rubber content of different particle sizes as the influencing factors, the range and variance analysis of the mechanical and impermeability properties of CRC was carried out by orthogonal test. Through analysis, it is concluded that the optimal proportion of 3~5 mm, 1~3 mm, and 20 mesh particle size composite rubber is 1:2.5:5. 5 kinds of CRC and 3 kinds of ordinary single-mixed rubber concrete (RC) with a total content… More >

Chunli Meng¹, Weishu Fu^1,*, Jianzeng Shen^2,*, Yisheng Su^1,2, Chunying Ye¹

Journal of Renewable Materials, Vol.11, No.2, pp. 581-598, 2023, DOI:10.32604/jrm.2022.022074 - 22 September 2022

Abstract Different rubber aggregates lead to changes in the effect of stress conditions on the mechanical behavior of concrete, and studies on the triaxial properties of self-compacting rubber concrete (SCRC) are rare. In this study, 35 cylindrical specimens taking lateral stress and rubber type as variables were prepared to study the fresh properties and mechanical behaviors of SCRC under triaxial compression, where the rubber contains two types, i.e., 380 μm rubber powder and 1–4 mm rubber particles, and four contents, i.e., 10%, 20% and 30%. The test results demonstrated that SCRC exhibited a typical oblique shear… More > Graphic Abstract

Raed Alhamad^1,*, Hatem Boujemaa²

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 2149-2159, 2023, DOI:10.32604/cmc.2023.033222 - 22 September 2022

Abstract In this paper, the throughput and delay of cooperative communications are derived when solar energy is used and relay node is selected using a timer. The source and relays harvest energy from sun using a photo voltaic system. The harvested power is used by the source to transmit data to the relays. Then, a selected relay amplifies the signal to the destination. Opportunistic, partial and reactive relay selection are used. The relay transmits when its timer elapses. The timer is set to a value proportional to the inverse of its Signal to Noise Ratio (SNR).… More >

K. Kalyani¹, Velmurugan Subbiah Parvathy², Hikmat A. M. Abdeljaber³, T. Satyanarayana Murthy⁴, Srijana Acharya⁵, Gyanendra Prasad Joshi⁶, Sung Won Kim^7,*

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 2303-2316, 2023, DOI:10.32604/cmc.2023.033162 - 22 September 2022

Abstract In recent times, financial globalization has drastically increased in different ways to improve the quality of services with advanced resources. The successful applications of bitcoin Blockchain (BC) techniques enable the stockholders to worry about the return and risk of financial products. The stockholders focused on the prediction of return rate and risk rate of financial products. Therefore, an automatic return rate bitcoin prediction model becomes essential for BC financial products. The newly designed machine learning (ML) and deep learning (DL) approaches pave the way for return rate predictive method. This study introduces a novel Jellyfish… More >

Joo Woo¹, Jonghyun Kim¹, Jong Hwan Park^2,*

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1985-2003, 2023, DOI:10.32604/cmc.2023.033102 - 22 September 2022

Abstract A fuzzy extractor can extract an almost uniform random string from a noisy source with enough entropy such as biometric data. To reproduce an identical key from repeated readings of biometric data, the fuzzy extractor generates a helper data and a random string from biometric data and uses the helper data to reproduce the random string from the second reading. In 2013, Fuller et al. proposed a computational fuzzy extractor based on the learning with errors problem. Their construction, however, can tolerate a sub-linear fraction of errors and has an inefficient decoding algorithm, which causes the reproducing time… More >