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  • Open Access

    ARTICLE

    Effects of Recycled Brick Powder on Thermal, Mechanical Properties, and Pore Structure of Alkali-Activated Foam Concrete

    Xinzhan Li1, Haixin Sun2, Li Li1,3,*, Zongjin Li3, Guangming Xie4, Guangzhao Li4

    Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081014 - 24 August 2026

    Abstract To utilize waste clay bricks and reduce carbon emissions, recycled brick powder (RBP) was prepared from waste brick-concrete structures and used to produce alkali-activated slag-recycled brick powder foam concrete (ASRFC). This paper evaluated the impact of RBP replacement rates and water-binder ratio on the physical and mechanical properties of foam concrete, including its thermal conductivity, strength, and pore structure. The results demonstrated that the addition of 10% RBP resulted in decreases in the apparent density and thermal conductivity of ASRFC, while flexural strength and the flexural-compressive strength ratio exhibited significant increases. These phenomena can all… More >

  • Open Access

    ARTICLE

    The Effect of Washing on the Structural, Morphological, and Compositional Properties of CuS Nanopowder Synthesis via Chemical Bath Technique

    Bilal Taher*

    Chalcogenide Letters, Vol.23, No.7, 2026, DOI:10.32604/cl.2026.085371 - 07 August 2026

    Abstract Nanopowder copper sulphide CuS has been synthesised successfully via the chemical bath deposition method. Two samples of precipitated CuS nanopowder were prepared at molar concentration of 0.5 M from [CuSO4·5H2O and Na2S2O3·5H2O] and 0.05 M from [Na2EDTA·2H2O]. Both samples were annealed at 150°C for one hour in air. The effects of washing and nonwashing on the structural, morphological, and compositional properties were studied. The X-ray diffraction (XRD) patterns showed that both samples have a CuS hexagonal structure with lattice constants (a = 3.773 , c = 16.398 ), and (a =… More >

  • Open Access

    ARTICLE

    Experimental Development and Optimization of a Particle-Fiber-Powder Composite Temporary Plugging System for Diversion Fracturing

    Xiaoyong Wen1, Hongjiang Zou2, Zhiwen Li1, Jianan Li2, Chengwang Wang1, Yugong Wang2, Wenxiong Wang1, Fa Yang2, Hanxi Peng3, Zhenglan Li3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.7, 2026, DOI:10.32604/fdmp.2026.085796 - 31 July 2026

    Abstract This study develops a particle-fiber-powder composite temporary plugging system and systematically investigates the dynamic plugging behavior of single-component, binary, and ternary formulations to elucidate the mechanisms governing plug formation and optimize material composition for diversion fracturing applications. Conventional temporary plugging materials often exhibit inadequate plug formation, limited pressure-bearing capacity, and poor plugging stability, compromising stimulation effectiveness in heterogeneous reservoirs. Experimental results show that neither the particle-only nor the particle-powder system can establish a stable load-bearing structure, resulting in poor plugging performance. In contrast, fiber incorporation fundamentally transforms weak particle bridging into a mechanically stable plug,… More >

  • Open Access

    ARTICLE

    Stress in Wheat Plants Mitigated via Application of Nutrients That Could Enable Antioxidant Production

    Jolyon Dodgson*, Anna K. Marks, David J. Marks

    Phyton-International Journal of Experimental Botany, Vol.95, No.7, 2026, DOI:10.32604/phyton.2026.082701 - 30 July 2026

    Abstract Stress can result in up to 70% losses during crop production. Plants are exposed to abiotic stresses, such as drought or salt, or biotic stresses, such as fungal pathogens like powdery mildew or septoria. Reactive oxygen species (ROS) signalling is a part of a common response to plant stresses, but excessive ROS can be damaging. Plants produce antioxidants to reduce ROS. Wheat plants were exposed to drought stress, salt stress, and biotic stress from powdery mildew and septoria. In a glasshouse, wheat plants were treated with a functional fertiliser (Indra containing Oxygon chemistry, Levity Crop… More >

  • Open Access

    ARTICLE

    Machine Learning for Density Prediction and Process Development of Large Layer Thickness LPBF 304L Stainless Steel and Its Mechanical Impacts

    Zhen Yan1, Jiani Huang1, Yanlin Gu1, Qingqing Xu1, Yuyu Guo1, Kun Lin2, Juan Hou1,*

    CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.079204 - 15 June 2026

    Abstract This study addresses the challenge of balancing “high deposition efficiency with large layer thickness” and “component mechanical integrity” in Laser Powder Bed Fusion (LPBF) additive manufacturing. Using 304L stainless steel as an example, a hybrid modeling strategy combining physical mechanism models and residual machine learning was proposed, achieving accurate prediction of densification at H = 60, 90, and 120 μm (test set R2 = 0.833, MAE = 0.104). Within the Doehlert matrix experimental design framework, the coupled effects of laser power, scanning speed, and scanning spacing on densification behavior, microstructure evolution, and mechanical response at different… More >

  • Open Access

    ARTICLE

    Hybrid Effect of Steel Fiber and Rubber Powder on Freeze-Thaw Resistance and Pore Structure of Concrete

    Wenwen Hu1, Xinzhan Li2, Tao Luo2,*, Li Li2

    Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.077120 - 18 May 2026

    Abstract This study experimentally investigates the Hybrid Effect of Steel Fiber (SF) and Recycled Rubber Powder (RRP) on Freeze-Thaw (F-T) Resistance and Pore Structure of Concrete. With respect to the mechanical properties of Steel Reinforced Concrete (SRC) before and after F-T cycles, the mixture incorporating 1.5% SF and 10% RRP achieves the optimal performance, exhibiting a distinct positive hybrid effect with the γ of the tensile-to-compressive strength ratio of 1.427. The synergistic interaction between SF and RRP preserves the compressive strength and significantly enhances the tensile performance of SRC. Meanwhile, it alleviates the degradation of mechanical More >

  • Open Access

    ARTICLE

    Research on Mechanical Properties of the Composite Bridge Deck System Composed of Orthotropic Steel Deck and RPC Layer under Normal Temperature Curing

    Hui Zhang1,*, Yingying Xie1, Yu Zhang2,*, Zhan Gao1, Aijun Li1, Sheng Shi1, Xingyue Li1, Zheming Zhou1, Haotian Wang1

    Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.075835 - 18 May 2026

    Abstract A composite bridge deck system consisting of an orthotropic steel deck and a normal-temperature-cured reactive powder concrete (RPC) layer is proposed to address the problems of pavement damage and fatigue cracks in steel bridge decks. In this study, a local finite element model of a bridge segment was established using ANSYS to calculate and compare the stress states of four deck systems: normal-temperature-cured RPC composite box girders, high-temperature-cured RPC composite box girders, pure steel box girders, and ordinary concrete composite box girders. Additionally, static load tests were conducted on a scaled local model to validate… More > Graphic Abstract

    Research on Mechanical Properties of the Composite Bridge Deck System Composed of Orthotropic Steel Deck and RPC Layer under Normal Temperature Curing

  • Open Access

    ARTICLE

    Group Activity Recognition in Crowded Scenes Using Multi-Stage Feature Optimization and ST-GCN-LSTM Networks

    Mohammed Alnusayri1, Tingting Xue2,3, Saleha Kamal4, Nouf Abdullah Almujally5, Khaled Alnowaiser6, Ahmad Jalal4,7,*, Hui Liu3,8,9,*

    CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.074115 - 08 May 2026

    Abstract Group activity recognition in public environments is challenging due to dynamic formations, complex inter-person interactions, and frequent occlusions. Existing methods often emphasize individual actions, overlooking collective behavioral patterns. This work introduces a multi-modal framework integrating silhouette-based appearance and skeleton-based pose information for robust recognition in surveillance scenarios. You Only Look Once v11 (YOLOv11) detects persons, Segmenting Objects by LOcations version 2 (SOLOv2) segments instances, and AlphaPose extracts skeletons, followed by hierarchical grouping to form spatially coherent clusters. A hybrid feature extraction strategy combines handcrafted descriptors (Extended GIST (ExGIST), Distance Transform, Binary Robust Independent Elementary Features More >

  • Open Access

    ARTICLE

    A Digital Twin Approach for Agile Additive Manufacturing of Automotive Components

    Chinmai Bhat1,2, Mayur Jiyalal Prajapati2, Yulius Shan Romario3, Wojciech Macek4, Maziar Ramezani5, Cho-Pei Jiang1,2,*

    CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.075197 - 09 April 2026

    Abstract This study aims to develop a digital twin framework for fabricating automotive components through additive manufacturing (AM) technology. The framework comprises topology optimization (TO), finite element analysis (FEA), and fabrication analysis using Simufact Additive, which ensures the first-time-right fabrication of the component. Using TO-FEA, the component is designed with reduced overall weight without compromising the structural and functional performance. After the successful design of the component, it is analyzed for fabrication feasibility before undergoing the actual fabrication process. In the present study, an automotive flange fork is designed and fabricated through AM laser powder-bed fusion… More >

  • Open Access

    ARTICLE

    Assessment of Compressive Strength of Concrete with Glass Powder and Recycled Aggregates Using Machine Learning Approaches

    Ehsan Momeni1, Mohammad Dehghannezhad1, Fereydoon Omidinasab1, Danial Jahed Armaghani2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.077300 - 30 March 2026

    Abstract In the last decade, the importance of sustainable construction and artificial intelligence (AI) in civil engineering has been underlined in many studies. Numerous studies highlighted the superiority of AI techniques over simple and mathematical regression analyses, which suffer from relatively poor generalization and an inability to capture highly non-linear relationships among inputs and output(s) parameters. In this study, to evaluate the compressive strength of concrete with glass powder (GP) and recycled aggregates, 600 concrete samples were tested in the laboratory, and their results were evaluated. For intelligent assessment of concrete compressive strength (CCS), the study… More >

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