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  • Open Access

    ARTICLE

    Novel Methodologies for Preventing Crack Propagation in Steel Gas Pipelines Considering the Temperature Effect

    Nurlan Zhangabay1,*, Ulzhan Ibraimova2, Marco Bonopera3,*, Ulanbator Suleimenov1, Konstantin Avramov4, Maryna Chernobryvko4, Aigerim Yessengali1

    Structural Durability & Health Monitoring, Vol.19, No.1, pp. 1-23, 2025, DOI:10.32604/sdhm.2024.053391 - 15 November 2024

    Abstract Using the software ANSYS-19.2/Explicit Dynamics, this study performed finite-element modeling of the large-diameter steel pipeline cross-section for the Beineu-Bozoy-Shymkent gas pipeline with a non-through straight crack, strengthened by steel wire wrapping. The effects of the thread tensile force of the steel winding in the form of single rings at the crack edges and the wires with different winding diameters and pitches were also studied. The results showed that the strengthening was preferably executed at a minimum value of the thread tensile force, which was 6.4% more effective than that at its maximum value. The analysis… More >

  • Open Access

    ARTICLE

    Moment Redistribution Effect of the Continuous Glass Fiber Reinforced Polymer-Concrete Composite Slabs Based on Static Loading Experiment

    Zhao-Jun Zhang1, Wen-Wei Wang1,2,*, Jing-Shui Zhen1, Bo-Cheng Li1, De-Cheng Cai1, Yang-Yang Du1, Hui Huang2

    Structural Durability & Health Monitoring, Vol.19, No.1, pp. 105-123, 2025, DOI:10.32604/sdhm.2024.052506 - 15 November 2024

    Abstract This study aimed to investigate the moment redistribution in continuous glass fiber reinforced polymer (GFRP)-concrete composite slabs caused by concrete cracking and steel bar yielding in the negative bending moment zone. An experimental bending moment redistribution test was conducted on continuous GFRP-concrete composite slabs, and a calculation method based on the conjugate beam method was proposed. The composite slabs were formed by combining GFRP profiles with a concrete layer and supported on steel beams to create two-span continuous composite slab specimens. Two methods, epoxy resin bonding, and stud connection, were used to connect the composite… More >

  • Open Access

    REVIEW

    Characterization and Performance Evaluation of Mycelium-Based Biofoams for Cushioning Materials Using Edible Mushrooms

    Tanyawan Suwandecha1, Supachai Pisuchpen2,*

    Journal of Renewable Materials, Vol.12, No.11, pp. 1811-1836, 2024, DOI:10.32604/jrm.2024.056334 - 22 November 2024

    Abstract This study investigated the development of mycelium-based biofoams as sustainable cushioning materials using Pleurotus ostreatus and Lentinus squarrosulus, combined with different sawdust substrates, and subjected to various pressing methods. The results indicated significant effects of mushroom species, sawdust type, and pressing method on the properties of biofoams. Growth rate, morphology, chemical composition, physical and mechanical properties, water resistance, and cushioning factor were evaluated. The results indicated that Lentinus squarrosulus (LS) exhibited faster growth rates (up to 14.37 mm/day) and produced biofoams with superior properties compared to Pleurotus ostreatus (PO). Core wood (CW) sawdust generally resulted in biofoams with lower… More > Graphic Abstract

    Characterization and Performance Evaluation of Mycelium-Based Biofoams for Cushioning Materials Using Edible Mushrooms

  • Open Access

    The Future of Plasticizers: Biobased and Oligomeric

    Bob A. Howell*

    Journal of Renewable Materials, Vol.12, No.11, pp. 1857-1861, 2024, DOI:10.32604/jrm.2024.056283 - 22 November 2024

    Abstract The deficiencies of popular phthalate plasticizers (ready migration from a polymer matrix into which they have been incorporated, flammability, environmental pollution, human health risks) have stimulated efforts to develop new effective, nonmigrating, low-cost, nontoxic replacements. In the main, these have been based on readily-available, nontoxic biobased precursors. Some, including those prepared from plant oils, have been generated from biomaterials themselves. However, the more numerous and generally more effective have been generated from discrete compounds produced from various biomaterials. Several structural features of effective plasticizers have been recognized. Polar functionality is required to assure compatibility with More >

  • Open Access

    ARTICLE

    Malfunction Diagnosis of the GTCC System under All Operating Conditions Based on Exergy Analysis

    Xinwei Wang1,2,*, Ming Li1, Hankun Bing1, Dongxing Zhang1, Yuanshu Zhang1

    Energy Engineering, Vol.121, No.12, pp. 3875-3898, 2024, DOI:10.32604/ee.2024.056237 - 22 November 2024

    Abstract After long-term operation, the performance of components in the GTCC system deteriorates and requires timely maintenance. Due to the inability to directly measure the degree of component malfunction, it is necessary to use advanced exergy analysis diagnosis methods to characterize the components’ health condition (degree of malfunction) through operation data of the GTCC system. The dissipative temperature is used to describe the degree of malfunction of different components in the GTCC system, and an advanced exergy analysis diagnostic method is used to establish a database of overall operating condition component malfunctions in the GTCC system.… More >

  • Open Access

    ARTICLE

    Reinforcement Learning Model for Energy System Management to Ensure Energy Efficiency and Comfort in Buildings

    Inna Bilous1, Dmytro Biriukov1, Dmytro Karpenko2, Tatiana Eutukhova2, Oleksandr Novoseltsev2,*, Volodymyr Voloshchuk1

    Energy Engineering, Vol.121, No.12, pp. 3617-3634, 2024, DOI:10.32604/ee.2024.051684 - 22 November 2024

    Abstract This article focuses on the challenges of modeling energy supply systems for buildings, encompassing both methods and tools for simulating thermal regimes and engineering systems within buildings. Enhancing the comfort of living or working in buildings often necessitates increased consumption of energy and material, such as for thermal upgrades, which consequently incurs additional economic costs. It is crucial to acknowledge that such improvements do not always lead to a decrease in total pollutant emissions, considering emissions across all stages of production and usage of energy and materials aimed at boosting energy efficiency and comfort in… More > Graphic Abstract

    Reinforcement Learning Model for Energy System Management to Ensure Energy Efficiency and Comfort in Buildings

  • Open Access

    ARTICLE

    A Secure Blockchain-Based Vehicular Collision Avoidance Protocol: Detecting and Preventing Blackhole Attacks

    Mosab Manaseer1, Maram Bani Younes2,*

    Computer Systems Science and Engineering, Vol.48, No.6, pp. 1699-1721, 2024, DOI:10.32604/csse.2024.055128 - 22 November 2024

    Abstract This work aims to examine the vulnerabilities and threats in the applications of intelligent transport systems, especially collision avoidance protocols. It focuses on achieving the availability of network communication among traveling vehicles. Finally, it aims to find a secure solution to prevent blackhole attacks on vehicular network communications. The proposed solution relies on authenticating vehicles by joining a blockchain network. This technology provides identification information and receives cryptography keys. Moreover, the ad hoc on-demand distance vector (AODV) protocol is used for route discovery and ensuring reliable node communication. The system activates an adaptive mode for monitoring More >

  • Open Access

    ARTICLE

    Evaluating Public Sentiments during Uttarakhand Flood: An Artificial Intelligence Techniques

    Stephen Afrifa1,2,*, Vijayakumar Varadarajan3,4,5,*, Peter Appiahene2, Tao Zhang1, Richmond Afrifa6

    Computer Systems Science and Engineering, Vol.48, No.6, pp. 1625-1639, 2024, DOI:10.32604/csse.2024.055084 - 22 November 2024

    Abstract Users of social networks can readily express their thoughts on websites like Twitter (now X), Facebook, and Instagram. The volume of textual data flowing from users has greatly increased with the advent of social media in comparison to traditional media. For instance, using natural language processing (NLP) methods, social media can be leveraged to obtain crucial information on the present situation during disasters. In this work, tweets on the Uttarakhand flash flood are analyzed using a hybrid NLP model. This investigation employed sentiment analysis (SA) to determine the people’s expressed negative attitudes regarding the disaster. More >

  • Open Access

    ARTICLE

    Performance-Oriented Layout Synthesis for Quantum Computing

    Chi-Chou Kao1,*, Hung-Yi Lin2

    Computer Systems Science and Engineering, Vol.48, No.6, pp. 1581-1594, 2024, DOI:10.32604/csse.2024.055073 - 22 November 2024

    Abstract Layout synthesis in quantum computing is crucial due to the physical constraints of quantum devices where quantum bits (qubits) can only interact effectively with their nearest neighbors. This constraint severely impacts the design and efficiency of quantum algorithms, as arranging qubits optimally can significantly reduce circuit depth and improve computational performance. To tackle the layout synthesis challenge, we propose an algorithm based on integer linear programming (ILP). ILP is well-suited for this problem as it can formulate the optimization objective of minimizing circuit depth while adhering to the nearest neighbor interaction constraint. The algorithm aims… More >

  • Open Access

    REVIEW

    A Systematic Literature Review on Blockchain Consensus Mechanisms’ Security: Applications and Open Challenges

    Muhammad Muntasir Yakubu1,2,*, Mohd Fadzil B Hassan1,3, Kamaluddeen Usman Danyaro1, Aisha Zahid Junejo4, Muhammed Siraj5, Saidu Yahaya1, Shamsuddeen Adamu1, Kamal Abdulsalam6

    Computer Systems Science and Engineering, Vol.48, No.6, pp. 1437-1481, 2024, DOI:10.32604/csse.2024.054556 - 22 November 2024

    Abstract This study conducts a systematic literature review (SLR) of blockchain consensus mechanisms, an essential protocols that maintain the integrity, reliability, and decentralization of distributed ledger networks. The aim is to comprehensively investigate prominent mechanisms’ security features and vulnerabilities, emphasizing their security considerations, applications, challenges, and future directions. The existing literature offers valuable insights into various consensus mechanisms’ strengths, limitations, and security vulnerabilities and their real-world applications. However, there remains a gap in synthesizing and analyzing this knowledge systematically. Addressing this gap would facilitate a structured approach to understanding consensus mechanisms’ security and vulnerabilities comprehensively. The… More >

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