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  • Open Access

    ARTICLE

    Dust Deposition’s Effect on Solar Photovoltaic Module Performance: An Experimental Study in India’s Tropical Region

    K. R. Chairma Lakshmi*, Geetha Ramadas

    Journal of Renewable Materials, Vol.10, No.8, pp. 2133-2153, 2022, DOI:10.32604/jrm.2022.019649

    Abstract A solar PV panel works with maximum efficiency only when it is operated around its optimum operating point or maximum power point. Unfortunately, the performance of the solar cell is affected by several factors like sun direction, solar irradiance, dust accumulation, module temperature, as well as the load on the system. Dust deposition is one of the most prominent factors that influence the performance of solar panels. Because the solar panel is exposed to the atmosphere, dust will accumulate on its surface, reducing the quantity of sunlight reaching the solar cell and diminishing output. In the proposed work, a detailed… More >

  • Open Access

    ARTICLE

    Curing Kinetics of Tannin and Lignin Biobased Adhesives Determined by DSC and ABES

    Jaša Saražin1, Ida Poljanšek1, Antonio Pizzi2, Milan Šernek1,*

    Journal of Renewable Materials, Vol.10, No.8, pp. 2117-2131, 2022, DOI:10.32604/jrm.2022.019602

    Abstract The curing process of two biobased adhesives: pine tanninhexamine (TH) and organosolv lignin non-isocyanate polyurethane (NIPU), suitable for interior nonstructural use, were compared with commercial urea-formaldehyde (UF) adhesive. Changes in chemical structure before and after the curing process were observed with Fouriertransform infrared spectroscopy (FTIR). The process of adhesive curing was monitored with differential scanning calorimetry (DSC) and the automated bonding evaluation system (ABES). Both DSC and ABES measurements confirmed UF as the fastest and NIPU as the slowest curing adhesive observed. Taking into account the ABES results, the optimal pressing parameters for the TH adhesive would be 4 min… More >

  • Open Access

    REVIEW

    A Review on Strengthening of Timber Beams Using Fiber Reinforced Polymers

    Bingyu Jian1,2, Ke Cheng3, Haitao Li1,2,*, Mahmud Ashraf2,4, Xiaoyan Zheng1,2, Assima Dauletbek1,2, Mahdi Hosseini1,2, Rodolfo Lorenzo5, Ileana Corbi6, Ottavia Corbi6, Kun Zhou7

    Journal of Renewable Materials, Vol.10, No.8, pp. 2073-2098, 2022, DOI:10.32604/jrm.2022.021983

    Abstract Fiber reinforced polymer (FRP) has been used in the construction industry because of its advantages such as high strength, light weight, corrosion resistance, low density and high elasticity. This paper presents a review of bonding techniques adopted to strengthen timber beams using FRP to achieve larger spans. Different methods of bonding between FRP and timber beams have been summarized with a focus on the influencing factors and their effects as well as relevant bond-slip models proposed for fundamental understanding. Experimental investigations to evaluate the flexural performance of timber beams strengthened by FRP bars, sheets and wraps have also been critically… More > Graphic Abstract

    A Review on Strengthening of Timber Beams Using Fiber Reinforced Polymers

  • Open Access

    ARTICLE

    Sensor Layout of Hoisting Machinery Vibration Monitoring Based on Harmony Genetic Search Algorithm

    Guansi Liu1,2, Keqin Ding2,*, Hui Jin1,*, Fangxiong Tang2, Li Chen2

    Structural Durability & Health Monitoring, Vol.16, No.2, pp. 145-161, 2022, DOI:10.32604/sdhm.2022.022241

    Abstract With the construction of automated docks, health monitoring technology as a parallel safety assurance technology for unmanned hoisting machinery has become a hot spot in the development of the industry. Hoisting machinery has a huge structure and numerous welded joints. The complexity and nonlinearity of the welded structure itself makes the structural failure parts random and difficult to arrange for monitoring sensors. In order to solve the problem of effectiveness and stability of the sensor arrangement method for monitoring the structure of hoisting machinery. Using the global and local search capabilities enhanced by the complementary search mechanism, a structural vibration… More >

  • Open Access

    ARTICLE

    Identification of Internal Damage in Circular Cylinders through Laser Scanning of Vibrating Surfaces

    Yisu Xi1, Binkai Shi2, Wei Xu1,3,*, Jing Ge4, Huaxin Zhu5, Dragoslav Sumarac6,7

    Structural Durability & Health Monitoring, Vol.16, No.2, pp. 163-177, 2022, DOI:10.32604/sdhm.2022.022082

    Abstract With the aid of non-contact measurements of vibrating surfaces through laser scanning, operating deflection shapes (ODSs) with high spatial resolutions can be used to graphically characterize damage in plane structures. Although numerous damage identification approaches relying on laser-measured ODSs have been developed for plate-type structures, they cannot be directly applied to circular cylinders due to the gap between equations of motions of plates and circular cylinders. To fill this gap, a novel approach is proposed in this study for damage identification of circular cylinders. Damage-induced discontinuities of the derivatives of ODSs can be used to graphically manifest the occurrence of… More >

  • Open Access

    ARTICLE

    Comparison of Structural Probabilistic and Non-Probabilistic Reliability Computational Methods under Big Data Condition

    Yongfeng Fang1,3, Kong Fah Tee2,*

    Structural Durability & Health Monitoring, Vol.16, No.2, pp. 129-143, 2022, DOI:10.32604/sdhm.2022.020301

    Abstract In this article, structural probabilistic and non-probabilistic reliability have been evaluated and compared under big data condition. Firstly, the big data is collected via structural monitoring and analysis. Big data is classified into different types according to the regularities of the distribution of data. The different stresses which have been subjected by the structure are used in this paper. Secondly, the structural interval reliability and probabilistic prediction models are established by using the stress-strength interference theory under big data of random loads after the stresses and structural strength are comprehensively considered. Structural reliability is computed by using various stress types,… More >

  • Open Access

    REVIEW

    Review Article on Condition Assessment of Structures Using Electro-Mechanical Impedance Technique

    Krishna Kumar Maurya*, Anupam Rawat, Rama Shanker

    Structural Durability & Health Monitoring, Vol.16, No.2, pp. 97-128, 2022, DOI:10.32604/sdhm.2022.015732

    Abstract Structural health monitoring (SHM) is a process for determination of presence, location, severity of damages and remaining life of the infrastructures. SHM is widely applied in aerospace, mechanical and civil engineering systems to assess the conditions of structures to improve the operation, safety, serviceability and reliability, respectively. There are various SHM techniques for monitoring the health of structures such as global response based and local techniques. Damages occur in the structures due to its inability to withstand intended design loadings, physical environment and chemical environment. Therefore, damage identification is necessary to improve the durability of the structures for protection against… More >

  • Open Access

    ARTICLE

    Reconstruction Technology of Flexible Structure Shape Based on FBG Sensor Array and Deep Learning Algorithm

    Kelong Huang, Jie Yan, Lei Zhang*, Faye Zhang, Mingshun Jiang, Qingmei Sui

    Structural Durability & Health Monitoring, Vol.16, No.2, pp. 179-194, 2022, DOI: 10.32604/sdhm.2022.018202

    Abstract A structural displacement field reconstruction method is proposed to aim at the problems of deformation monitoring and displacement field reconstruction of flexible plate-like structures in the aerospace field. This method combines the deep neural network model of the cross-layer connection structure with the fiber grating sensor network. This paper first introduces the principle of strain detection of fiber grating sensor, studies the mapping relationship between strain and displacement, and proposes a strain-displacement conversion model based on an improved neural network. Then the intelligent structure deformation monitoring system is built. By controlling the stepping distance of the motor to produce different… More >

  • Open Access

    ARTICLE

    An integrated bioinformatics analysis and experimental study identified key biomarkers CD300A or CXCL1, pathways and immune infiltration in diabetic nephropathy mice

    WEI LIANG1,2,*, QIANG LUO1,2,#, ZONGWEI ZHANG1,2,#, KEJU YANG1,2,3, ANKANG YANG1,2, QINGJIA CHI4, HUAN HU5

    BIOCELL, Vol.46, No.8, pp. 1989-2002, 2022, DOI:10.32604/biocell.2022.019300

    Abstract Diabetic nephropathy (DN) is a common microvascular complication that easily leads to end-stage renal disease. It is important to explore the key biomarkers and molecular mechanisms relevant to diabetic nephropathy (DN). We used highthroughput RNA sequencing to obtain the genes related to DN glomerular tissues and healthy glomerular tissues of mice. Then we used LIMMA to analyze differentially expressed genes (DEGs) between DN and non-diabetic glomerular samples. And we performed KEGG, gene ontology functional (GO) enrichment, and gene set enrichment analysis to reveal the signaling pathway of the disease. The CIBERSORT algorithm based on support vector machine was used to… More >

  • Open Access

    ARTICLE

    Mycorrhiza improves cold tolerance of Satsuma orange by inducing antioxidant enzyme gene expression

    MING-AO CAO1, FEI ZHANG2, ELSAYED FATHI ABD_ALLAH3, QIANGSHENG WU1,*

    BIOCELL, Vol.46, No.8, pp. 1959-1966, 2022, DOI:10.32604/biocell.2022.020391

    Abstract A potted experiment was carried out to study the effect of an arbuscular mycorrhizal fungus (Diversispora versiformis) and arbuscular mycorrhizal like fungus (Piriformospora indica) on antioxidant enzyme defense system of Satsuma orange (Citrus sinensis cv. Oita 4) grafted on Poncirus trifoliata under favourable temperature (25°C) and cold temperature (0°C) for 12 h. Such short-term treatment of cold temperature did not cause any significant change in root fungal colonization and spore density in soil. Under cold stress, D. versiformis inoculation did not change the activity of superoxide dismutase (SOD), catalase (CAT), and peroxidase (POD) in leaves and roots, whereas P. indica… More >

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