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  • Open Access

    REVIEW

    Structural Modal Parameter Recognition and Related Damage Identification Methods under Environmental Excitations: A Review

    Chao Zhang1, Shang-Xi Lai1, Hua-Ping Wang1,2,*

    Structural Durability & Health Monitoring, Vol.19, No.1, pp. 25-54, 2025, DOI:10.32604/sdhm.2024.053662 - 15 November 2024

    Abstract Modal parameters can accurately characterize the structural dynamic properties and assess the physical state of the structure. Therefore, it is particularly significant to identify the structural modal parameters according to the monitoring data information in the structural health monitoring (SHM) system, so as to provide a scientific basis for structural damage identification and dynamic model modification. In view of this, this paper reviews methods for identifying structural modal parameters under environmental excitation and briefly describes how to identify structural damages based on the derived modal parameters. The paper primarily introduces data-driven modal parameter recognition methods… More >

  • 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

    Optimization of Phosphate Adsorption Using Activated Carbon Derived from Pangium edule Shell

    Rachmannu Ilham1, Fataty Kurnia Rahmah1, Nurul Faradilah Said2, Mohamad Buang Budiono2, Suprapto Suprapto1,*

    Journal of Renewable Materials, Vol.12, No.11, pp. 1895-1909, 2024, DOI:10.32604/jrm.2024.055602 - 22 November 2024

    Abstract This study investigated the efficiency of activated carbon from Pangium edule shells for removing phosphate from aqueous solution. The adsorption capacity of the synthesized activated carbon was determined to be 19.8392 mg g−1. Various isotherm models were used to analyze the adsorption process, Henry, Freundlich, SIP, and Halsey isotherm fitting showed r2 values close to 1.0. These isotherms indicated a combination of physisorption and chemisorption mechanisms, with heterogeneity and multilayer formation playing important roles. A pseudo-second-order model described the adsorption kinetics well, suggesting chemisorption as the dominant mechanism with an r2 value of 1.0 and a rate constant… More >

  • Open Access

    ARTICLE

    Rapid Parameter-Optimizing Strategy for Plug-and-Play Devices in DC Distribution Systems under the Background of Digital Transformation

    Zhi Li1, Yufei Zhao2, Yueming Ji2, Hanwen Gu2, Zaibin Jiao2,*

    Energy Engineering, Vol.121, No.12, pp. 3899-3927, 2024, DOI:10.32604/ee.2024.055899 - 22 November 2024

    Abstract By integrating advanced digital technologies such as cloud computing and the Internet of Things in sensor measurement, information communication, and other fields, the digital DC distribution network can efficiently and reliably access Distributed Generator (DG) and Energy Storage Systems (ESS), exhibiting significant advantages in terms of controllability and meeting requirements of Plug-and-Play (PnP) operations. However, during device plug-in and -out processes, improper system parameters may lead to small-signal stability issues. Therefore, before executing PnP operations, conducting stability analysis and adjusting parameters swiftly is crucial. This study introduces a four-stage strategy for parameter optimization to enhance… More >

  • Open Access

    REVIEW

    Research Progress of Photovoltaic Power Prediction Technology Based on Artificial Intelligence Methods

    Daixuan Zhou1, Yujin Liu1, Xu Wang2, Fuxing Wang1, Yan Jia2,*

    Energy Engineering, Vol.121, No.12, pp. 3573-3616, 2024, DOI:10.32604/ee.2024.055853 - 22 November 2024

    Abstract With the increasing proportion of renewable energy in China’s energy structure, among which photovoltaic power generation is also developing rapidly. As the photovoltaic (PV) power output is highly unstable and subject to a variety of factors, it brings great challenges to the stable operation and dispatch of the power grid. Therefore, accurate short-term PV power prediction is of great significance to ensure the safe grid connection of PV energy. Currently, the short-term prediction of PV power has received extensive attention and research, but the accuracy and precision of the prediction have to be further improved. More > Graphic Abstract

    Research Progress of Photovoltaic Power Prediction Technology Based on Artificial Intelligence Methods

  • Open Access

    ARTICLE

    Bibliometric Exploration of Conversion of Sugars to Furan Derivatives 2,5-Dimethylfuran by Catalytic Process

    Nuttida Chanhom1, Tossapon Katongtung2, Nakorn Tippayawong2,*

    Energy Engineering, Vol.121, No.12, pp. 3649-3665, 2024, DOI:10.32604/ee.2024.054862 - 22 November 2024

    Abstract This study investigated the conversion of sugars into furan derivatives, specifically 2,5-dimethylfuran, through catalytic processes using bibliographic analysis. This method evaluates scientific outcomes and impact within a specific field by analyzing data such as publication trends, references, collaborative models, leading authors, and institutions. The study utilized data from the reliable Scopus database and conducted analysis using the visualization of similarity (VOS) viewer program to gain in-depth insights into the current state of research on this topic. The findings revealed that “5 hydroxymethyl furfural” was the most used keyword, followed by “biomass” and “catalysis.” The research More >

  • Open Access

    ARTICLE

    Heuristic-Based Optimal Load Frequency Control with Offsite Backup Controllers in Interconnected Microgrids

    Aijia Ding, Tingzhang Liu*

    Energy Engineering, Vol.121, No.12, pp. 3735-3759, 2024, DOI:10.32604/ee.2024.054687 - 22 November 2024

    Abstract The primary factor contributing to frequency instability in microgrids is the inherent intermittency of renewable energy sources. This paper introduces novel dual-backup controllers utilizing advanced fractional order proportional integral derivative (FOPID) controllers to enhance frequency and tie-line power stability in microgrids amid increasing renewable energy integration. To improve load frequency control, the proposed controllers are applied to a two-area interconnected microgrid system incorporating diverse energy sources, such as wind turbines, photovoltaic cells, diesel generators, and various storage technologies. A novel meta-heuristic algorithm is adopted to select the optimal parameters of the proposed controllers. The efficacy… More >

  • Open Access

    REVIEW

    A Critical Review of Active Distribution Network Reconfiguration: Concepts, Development, and Perspectives

    Bo Yang1, Rui Zhang1, Jie Zhang2, Xianlong Cheng2, Jiale Li3, Yimin Zhou1, Yuanweiji Hu1, Bin He1, Gongshuai Zhang4, Xiuping Du4, Si Ji5, Yiyan Sang6, Zhengxun Guo7,8,*

    Energy Engineering, Vol.121, No.12, pp. 3487-3547, 2024, DOI:10.32604/ee.2024.054662 - 22 November 2024

    Abstract In recent years, the large-scale grid connection of various distributed power sources has made the planning and operation of distribution grids increasingly complex. Consequently, a large number of active distribution network reconfiguration techniques have emerged to reduce system losses, improve system safety, and enhance power quality via switching switches to change the system topology while ensuring the radial structure of the network. While scholars have previously reviewed these methods, they all have obvious shortcomings, such as a lack of systematic integration of methods, vague classification, lack of constructive suggestions for future study, etc. Therefore, this… More >

  • Open Access

    ARTICLE

    An Expert System to Detect Political Arabic Articles Orientation Using CatBoost Classifier Boosted by Multi-Level Features

    Saad M. Darwish1,*, Abdul Rahman M. Sabri2, Dhafar Hamed Abd2, Adel A. Elzoghabi1

    Computer Systems Science and Engineering, Vol.48, No.6, pp. 1595-1624, 2024, DOI:10.32604/csse.2024.054615 - 22 November 2024

    Abstract The number of blogs and other forms of opinionated online content has increased dramatically in recent years. Many fields, including academia and national security, place an emphasis on automated political article orientation detection. Political articles (especially in the Arab world) are different from other articles due to their subjectivity, in which the author’s beliefs and political affiliation might have a significant influence on a political article. With categories representing the main political ideologies, this problem may be thought of as a subset of the text categorization (classification). In general, the performance of machine learning models… More >

  • Open Access

    ARTICLE

    Intelligent PID Control Method for Quadrotor UAV with Serial Humanoid Intelligence

    Linlin Zhang, Lvzhao Bai, Jianshu Liang, Zhiying Qin*, Yuejing Zhao

    Computer Systems Science and Engineering, Vol.48, No.6, pp. 1557-1579, 2024, DOI:10.32604/csse.2024.054237 - 22 November 2024

    Abstract Quadrotor unmanned aerial vehicles (UAVs) are widely used in inspection, agriculture, express delivery, and other fields owing to their low cost and high flexibility. However, the current UAV control system has shortcomings such as poor control accuracy and weak anti-interference ability to a certain extent. To address the control problem of a four-rotor UAV, we propose a method to enhance the controller’s accuracy by considering underactuated dynamics, nonlinearities, and external disturbances. A mathematical model is constructed based on the flight principles of the quadrotor UAV. We develop a control algorithm that combines humanoid intelligence with… More >

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