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  • Open Access

    ARTICLE

    Life-Cycle Bearing Capacity for Pre-Stressed T-beams Based on Full-Scale Destructive Test

    Yushan Ye1, Tao Gao1, Liankun Wang2, Junjie Ma2, Yingchun Cai2, Heng Liu2,*, Xiaoge Liu2

    Structural Durability & Health Monitoring, Vol.19, No.1, pp. 145-166, 2025, DOI:10.32604/sdhm.2024.053756 - 15 November 2024

    Abstract To investigate the evolution of load-bearing characteristics of pre-stressed beams throughout their service life and to provide a basis for accurately assessing the actual working state of damaged pre-stressed concrete T-beams, destructive tests were conducted on full-scale pre-stressed concrete beams. Based on the measurement and analysis of beam deflection, strain, and crack development under various loading levels during the research tests, combined with the verification coefficient indicators specified in the codes, the verification coefficients of bridges at different stages of damage can be examined. The results indicate that the T-beams experience complete, incomplete linear, and… More >

  • Open Access

    ARTICLE

    Energy-Efficient and Cost-Effective Approaches through Energy Modeling for Hotel Building

    Alya Penta Agharid1, Indra Permana2, Nitesh Singh1, Fujen Wang2,*, Susan Gustiyana2

    Energy Engineering, Vol.121, No.12, pp. 3549-3571, 2024, DOI:10.32604/ee.2024.056398 - 22 November 2024

    Abstract Hotel buildings are currently among the largest energy consumers in the world. Heating, ventilation, and air conditioning are the most energy-intensive building systems, accounting for more than half of total energy consumption. An energy audit is used to predict the weak points of a building’s energy use system. Various factors influence building energy consumption, which can be modified to achieve more energy-efficient strategies. In this study, an existing hotel building in Central Taiwan is evaluated by simulating several scenarios using energy modeling over a year. Energy modeling is conducted by using Autodesk Revit 2025. It… More >

  • Open Access

    ARTICLE

    Integrated Energy-Efficient Distributed Link Stability Algorithm for UAV Networks

    Altaf Hussain1, Shuaiyong Li2, Tariq Hussain3, Razaz Waheeb Attar4, Farman Ali5,*, Ahmed Alhomoud6, Babar Shah7

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2357-2394, 2024, DOI:10.32604/cmc.2024.056694 - 18 November 2024

    Abstract Ad hoc networks offer promising applications due to their ease of use, installation, and deployment, as they do not require a centralized control entity. In these networks, nodes function as senders, receivers, and routers. One such network is the Flying Ad hoc Network (FANET), where nodes operate in three dimensions (3D) using Unmanned Aerial Vehicles (UAVs) that are remotely controlled. With the integration of the Internet of Things (IoT), these nodes form an IoT-enabled network called the Internet of UAVs (IoU). However, the airborne nodes in FANET consume high energy due to their payloads and… More >

  • Open Access

    ARTICLE

    A Deep Learning Approach to Industrial Corrosion Detection

    Mehwash Farooqui1, Atta Rahman2,*, Latifa Alsuliman1, Zainab Alsaif1, Fatimah Albaik1, Cadi Alshammari1, Razan Sharaf1, Sunday Olatunji1, Sara Waslallah Althubaiti1, Hina Gull3

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2587-2605, 2024, DOI:10.32604/cmc.2024.055262 - 18 November 2024

    Abstract The proposed study focuses on the critical issue of corrosion, which leads to significant economic losses and safety risks worldwide. A key area of emphasis is the accuracy of corrosion detection methods. While recent studies have made progress, a common challenge is the low accuracy of existing detection models. These models often struggle to reliably identify corrosion tendencies, which are crucial for minimizing industrial risks and optimizing resource use. The proposed study introduces an innovative approach that significantly improves the accuracy of corrosion detection using a convolutional neural network (CNN), as well as two pretrained… More >

  • Open Access

    ARTICLE

    A Dynamic YOLO-Based Sequence-Matching Model for Efficient Coverless Image Steganography

    Jiajun Liu1, Lina Tan1,*, Zhili Zhou2, Weijin Jiang1, Yi Li1, Peng Chen1

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3221-3240, 2024, DOI:10.32604/cmc.2024.054542 - 18 November 2024

    Abstract Many existing coverless steganography methods establish a mapping relationship between cover images and hidden data. One issue with these methods is that as the steganographic capacity increases, the number of images stored in the database grows exponentially. This makes it challenging to build and manage a large image database. To improve the image library utilization and anti-attack capability of the steganography system, we propose an efficient coverless scheme based on dynamically matched substrings. We utilize You Only Look Once (YOLO) for selecting optimal objects and create a mapping dictionary between these objects and scrambling factors.… More >

  • Open Access

    PROCEEDINGS

    Towards High-Fidelity and Efficient Computation for Diagnosis and Treatment of Cardiovascular Disease

    Lei Wang1,*, Blanca Rodriguez2, Xiaoyu Luo3, Charles Augarde4

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.013350

    Abstract Cardiovascular disease is the leading cause of death worldwide. Disease-specific software, like FFRct from HeartFlow, and high-fidelity computational models within a general-purpose software, like Living Heart Project within Abaqus, are essential to revolutionise diagnosis and treatment of cardiovascular disease for clinicians and design of medical devices for industries. This talk presents our past researches on computational modelling of tear propagation in the aortic dissection [1-2] and of electromechanical coupling in the human heart with the finite element method [3], and our current exploration on high-fidelity and efficient computation and software development for diagnosis and treatment More >

  • Open Access

    PROCEEDINGS

    Strengthening Mechanical Performance with Robust and Efficient Machine Learning-Assisted Path Planning for Additive Manufacturing of Continuous Fiber Composites

    Xinmeng Zha1, Huilin Ren1,*, Yi Xiong1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011371

    Abstract Additive manufacturing of continuous fiber composites is an emerging field that enables the tunable mechanical performance of composite structure by flexibly controlling the spatial layout of continuous fibers. Transverse isotropic strengthening is advantageous property of continuous fiber, which is favorable to align with the principal stress orientation. However, the accuracy and efficiency of traditional methods for calculating principal stress field are unguaranteed due to the inherent complexity and variability of geometries, material properties, and operational conditions in additive manufacturing. Therefore, a machine learning-assisted path planning method is proposed to robustly and efficiently generate the continuous… More >

  • Open Access

    PROCEEDINGS

    Improved XFEM (IXFEM): Accurate, Efficient, Robust and Reliable Analysis for Arbitrary Multiple Crack Problems

    Lixiang Wang1, Longfei Wen2,3, Rong Tian2,3,*, Chun Feng1,4,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.011137

    Abstract The extended finite element method (XFEM) has been successful in crack analysis but faces challenges in modeling multiple cracks. One challenge is the linear dependence and ill-conditioning of the global stiffness matrix, while another is the geometric description for multiple cracks. To address the first challenge, the Improved XFEM (IXFEM) [1–9] is extended to handle multiple crack problems, effectively eliminating issues of linear dependence and ill-conditioning. Additionally, to overcome the second challenge, a novel level set templated cover cutting method (LSTCCM) [10] is proposed, which combines the advantages of the level set method and cover More >

  • Open Access

    ARTICLE

    An Efficient Plant Regeneration System for Different Explants of Rare and Endangered Plants in Mussaenda anomala

    Gaoyin Wu1,#, Yundou Pang1,#, Ya Tan1, Zhongcheng Peng1, Shuanggui Geng1, Guanglin Tao2, Qiuying Li1, Shuang Wang1, Lihong Zhang1, Quanyan Tian1, Yingliang Liu1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.10, pp. 2597-2611, 2024, DOI:10.32604/phyton.2024.056875 - 30 October 2024

    Abstract To establish an efficient regeneration method for the rare and endangered plant Mussaenda anomala to address problems regarding its reproductive obstacles and scarce populations. In this study, the terminal buds, axillary buds, stem segments with two axillary buds, stem segments with two axillary buds and one terminal bud, and leaves of M. anomala were used as explants. The effects of different explants and disinfection methods, plant growth regulators and substrates on plant regeneration were explored. The following results were obtained: (1) The terminal bud was a suitable explant for M. anomala tissue culture, and the disinfection method utilized… More >

  • Open Access

    ARTICLE

    Fuzzy Comprehensive Analysis of Static Mixers Used for Selective Catalytic Reduction in Diesel Engines

    Xin Luan1,*, Guoqing Su1, Hailong Chen1, Min Kuang1,2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.11, pp. 2459-2473, 2024, DOI:10.32604/fdmp.2024.054621 - 28 October 2024

    Abstract The proper selection of a relevant mixer generally requires an effective assessment of several models against the application requirements. This is a complex task, as traditional evaluation methods generally focus only on a single aspect of performance, such as pressure loss, mixing characteristics, or heat transfer. This study assesses a urea-based selective catalytic reduction (SCR) system installed on a ship, where the installation space is limited and the distance between the urea aqueous solution injection position and the reactor is low; therefore, the static mixer installed in this pipeline has special performance requirements. In particular,… More >

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