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  • Open Access

    PROCEEDINGS

    A Digital Twin Framework for Structural Strength Monitoring

    Ziyu Xu1, Kuo Tian1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011245

    Abstract Considering experimental testing data is costly, and sensor data is often sparse, while simulation analysis provides overall strength information with lower accuracy, a digital twin framework is proposed for full-field structural strength assessment and prediction. The framework is mainly divided into two stages. In the offline stage, the simulation model of the structure is established, and the sensor layouts are completed. Then, the DNN pre-training model is constructed based on the reduced simulation data. In the online stage, the experimentally measured data are predicted to obtain the time-series sensors data, and the traditional transfer learning… More >

  • Open Access

    ARTICLE

    Mechanical Behavior of Panels Reinforced with Orthogonal Plant Fabrics: Experimental and Numerical Assessment

    Martha L. Sánchez1,*, G. Capote2

    Journal of Renewable Materials, Vol.12, No.10, pp. 1791-1810, 2024, DOI:10.32604/jrm.2024.055122 - 23 October 2024

    Abstract The construction sector is one of the main sources of pollution, due to high energy consumption and the toxic substances generated during the processing and use of traditional materials. The production of cement, steel, and other conventional materials impacts both ecosystems and human health, increasing the demand for ecological and biodegradable alternatives. In this paper, we analyze the properties of panels made from a combination of plant fibers and castor oil resin, analyzing the viability of their use as construction material. For the research, orthogonal fabrics made with waste plant fibers supplied by a company… More >

  • Open Access

    ARTICLE

    Assessment of Operational Performance in a Power Generation/Selling Integrated Company Using a Dynamic Proportional Adjustment Coefficient

    Jingbin Wu1,*, Hongming Yang2, Sheng Xiang2

    Energy Engineering, Vol.121, No.11, pp. 3263-3287, 2024, DOI:10.32604/ee.2024.054019 - 21 October 2024

    Abstract Currently, the operational performance assessment system in the power market primarily focuses on power generation and electricity retail companies, lacking a system tailored to the operational characteristics of power generation/selling integrated companies. Therefore, this article proposes an assessment index system for assessing the operational performance of a power generation/selling integrated company, encompassing three dimensions: basic capacity, development potential, and external environment. A dynamic proportional adjustment coefficient is designed, along with a subjective and objective weighting model for assessment indexes based on a combined weighting method. Subsequently, the operational performance of an integrated company is assessed More > Graphic Abstract

    Assessment of Operational Performance in a Power Generation/Selling Integrated Company Using a Dynamic Proportional Adjustment Coefficient

  • Open Access

    RETRACTION

  • Open Access

    ARTICLE

    Using Machine Learning to Determine the Efficacy of Socio-Economic Indicators as Predictors for Flood Risk in London

    Grace Gau1, Minerva Singh2,3,*

    Revue Internationale de Géomatique, Vol.33, pp. 427-443, 2024, DOI:10.32604/rig.2024.055752 - 11 October 2024

    Abstract This study examines how socio-economic characteristics predict flood risk in London, England, using machine learning algorithms. The socio-economic variables considered included race, employment, crime and poverty measures. A stacked generalization (SG) model combines random forest (RF), support vector machine (SVM), and XGBoost. Binary classification issues employ RF as the basis model and SVM as the meta-model. In multiclass classification problems, RF and SVM are base models while XGBoost is meta-model. The study utilizes flood risk labels for London areas and census data to train these models. This study found that SVM performs well in binary… More >

  • Open Access

    ARTICLE

    A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes

    Mario Eugenio Sello1,*, Rafael Adrian Maddio1, Santiago Ignacio Hurtado1, Daniel Alejandro Castillo1, Daiana Vanesa Perri1, Octavio Agusto Bruzzone2, Marcos Horacio Easdale1

    Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2479-2498, 2024, DOI:10.32604/phyton.2024.053168 - 30 September 2024

    Abstract Adaptive management in arid and semi-arid regions of Patagonia, Argentina, requires a thorough understanding of vegetative dynamics, which can be obtained via rangeland assessment and monitoring. These practices are essential for decision-making to prevent environmental degradation, especially in the light of drought aggravated by climate change. In turn, most methods used to evaluate rangelands focus on data obtained from field measurements and vegetation classifications based on remote sensing data. One of the most frequent problems is that field-based rangeland assessments, based on field measurements, turn out to be expensive because they require high efforts in… More >

  • Open Access

    ARTICLE

    Simulation and Traffic Safety Assessment of Heavy-Haul Railway Train-Bridge Coupling System under Earthquake Action

    Liangwei Jiang1,2, Wei Zhang2, Hongyin Yang1,2,3,*, Xiucheng Zhang1, Jinghan Wu2, Zhangjun Liu2

    Structural Durability & Health Monitoring, Vol.18, No.6, pp. 835-851, 2024, DOI:10.32604/sdhm.2024.051125 - 20 September 2024

    Abstract Aiming at the problem that it is difficult to obtain the explicit expression of the structural matrix in the traditional train-bridge coupling vibration analysis, a combined simulation system of train-bridge coupling system (TBCS) under earthquake (MAETB) is developed based on the cooperative work of MATLAB and ANSYS. The simulation system is used to analyze the dynamic parameters of the TBCS of a prestressed concrete continuous rigid frame bridge benchmark model of a heavy-haul railway. The influence of different driving speeds, seismic wave intensities, and traveling wave effects on the dynamic response of the TBCS under More >

  • Open Access

    ARTICLE

    GIS-Based Identification of Flood Risk Zone in a Rural Municipality Using Fuzzy Analytical Hierarchy Process (FAHP)

    Li-Anne Gacul1, Dexter Ferrancullo1, Romel Gallano1, KC Jane Fadriquela1, Kyla Jane Mendez1, John Rommel Morada1, John Kevin Morgado1, Jerome Gacu1,2,*

    Revue Internationale de Géomatique, Vol.33, pp. 295-320, 2024, DOI:10.32604/rig.2024.055085 - 03 September 2024

    Abstract Risk assessment is vital for humanities, especially in assessing natural and manmade hazards. Romblon, an archipelagic province in the Philippines, faces frequent typhoons and heavy rainfall, resulting in floods, with the Municipality of Santa Fe being particularly vulnerable to its severe damage. Thus, this research study intends to evaluate the flood risk of Santa Fe spatially using the fuzzy analytical hierarchy process (FAHP), taking into account data sourced from various government agencies and online databases. GIS was utilized to map flood-prone areas in the municipality. Hazard assessment factors included average annual rainfall, elevation, slope, soil… More > Graphic Abstract

    GIS-Based Identification of Flood Risk Zone in a Rural Municipality Using Fuzzy Analytical Hierarchy Process (FAHP)

  • Open Access

    ARTICLE

    Assessment of Low Global Warming Potential Refrigerants for Waste Heat Recovery in Data Center with On-Chip Two-Phase Cooling Loop

    Yuming Zhao1, Jing Wang1, Bin Sun2, Zhenshang Wang1, Huashan Li2, Jiongcong Chen2,*

    Frontiers in Heat and Mass Transfer, Vol.22, No.4, pp. 1171-1188, 2024, DOI:10.32604/fhmt.2024.054594 - 30 August 2024

    Abstract Data centers (DCs) are highly energy-intensive facilities, where about 30%–50% of the power consumed is attributable to the cooling of information technology equipment. This makes liquid cooling, especially in two-phase mode, as an alternative to air cooling for the microprocessors in servers of interest. The need to meet the increased power density of server racks in high-performance DCs, along with the push towards lower global warming potential (GWP) refrigerants due to environmental concerns, has motivated research on the selection of two-phase heat transfer fluids for cooling servers while simultaneously recovering waste heat. With this regard,… More >

  • Open Access

    ARTICLE

    Assessing the Environmental Impact of Extensive Beef Production in Grazing Lands of Argentina

    Ernesto Viglizzo1,2,*, Florencia Ricard3,4

    Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1943-1962, 2024, DOI:10.32604/phyton.2024.052513 - 30 August 2024

    Abstract Because of environmental constraints, beef cattle was for more than a century the only viable farming option in the extensive semiarid and subhumid lands of Argentina and the main source of nutrients for humans as well. However, a growing concern and criticism have risen today about its possible negative impact on the climate and the environment. These worries tend to affect current public opinions, national policies, and international trade. Based on 40 beef cattle farms scattered across different semiarid and subhumid regions of Argentina, here we evaluated the impact of extensive cattle production on carbon,… More >

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