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  • Open Access

    ARTICLE

    Revisiting Nonlinear Modelling Approaches for Existing RC Structures: Lumped vs. Distributed Plasticity

    Hüseyin Bilgin*, Bredli Plaku

    Structural Durability & Health Monitoring, Vol.20, No.1, 2026, DOI:10.32604/sdhm.2025.071007 - 08 January 2026

    Abstract Nonlinear static procedures are widely adopted in structural engineering practice for seismic performance assessment due to their simplicity and computational efficiency. However, their reliability depends heavily on how the nonlinear behaviour of structural components is represented. The recent earthquakes in Albania (2019) and Türkiye (2023) have underscored the need for accurate assessment techniques, particularly for older reinforced concrete buildings with poor detailing. This study quantifies the discrepancies between default and user-defined component modelling in pushover analysis of pre-modern reinforced concrete structures, analysing two representative low- and mid-rise reinforced concrete frame buildings. The lumped plasticity approach… More > Graphic Abstract

    Revisiting Nonlinear Modelling Approaches for Existing RC Structures: Lumped vs. Distributed Plasticity

  • Open Access

    ARTICLE

    HTM: A Hybrid Triangular Modeling Framework for Soft Tissue Feature Tracking

    Lijuan Zhang1, Yu Zhou2, Jiawei Tian3,*, Fupei Guo4, Xiang Zhang4, Bo Yang4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3949-3968, 2025, DOI:10.32604/cmes.2025.071869 - 23 December 2025

    Abstract In endoscopic surgery, the limited field of view and the nonlinear deformation of organs caused by patient movement and respiration significantly complicate the modeling and accurate tracking of soft tissue surfaces from endoscopic image sequences. To address these challenges, we propose a novel Hybrid Triangular Matching (HTM) modeling framework for soft tissue feature tracking. Specifically, HTM constructs a geometric model of the detected blobs on the soft tissue surface by applying the Watershed algorithm for blob detection and integrating the Delaunay triangulation with a newly designed triangle search segmentation algorithm. By leveraging barycentric coordinate theory, More >

  • Open Access

    ARTICLE

    A Two-Layer Energy Management Strategy for Fuel Cell Ships Considering the Performance Consistency of Fuel Cells

    Yi Zhang1, Diju Gao1,*, Yide Wang2, Zhaoxia Huang3

    Energy Engineering, Vol.122, No.9, pp. 3681-3702, 2025, DOI:10.32604/ee.2025.068656 - 26 August 2025

    Abstract Hydrogen fuel cell ships are one of the key solutions to achieving zero carbon emissions in shipping. Multi-fuel cell stacks (MFCS) systems are frequently employed to fulfill the power requirements of high-load power equipment on ships. Compared to single-stack system, MFCS may be difficult to apply traditional energy management strategies (EMS) due to their complex structure. In this paper, a two-layer power allocation strategy for MFCS of a hydrogen fuel cell ship is proposed to reduce the complexity of the allocation task by splitting it into each layer of the EMS. The first layer of… More > Graphic Abstract

    A Two-Layer Energy Management Strategy for Fuel Cell Ships Considering the Performance Consistency of Fuel Cells

  • Open Access

    ARTICLE

    Comparative Study of CPLEX and D-Wave for Track Finding Resolution

    Duy Dao1, Hervé Kerivin2, Philippe Lacomme2,*, Bogdan Vulpescu3

    Journal of Quantum Computing, Vol.7, pp. 39-54, 2025, DOI:10.32604/jqc.2025.064764 - 30 May 2025

    Abstract Track finding is a complex optimization problem, originally introduced in particle physics for the reconstruction of the trajectories of particles. A track is typically composed of several consecutive segments, which together form a smooth curve without any bifurcations. In this paper, we investigate various modeling approaches to assess their effectiveness and impact when applied to track finding, using both quantum and classical methods. We present implementations of three classical models using CPLEX, two quantum models on actual D-Wave quantum computers, and one quantum model on a D-Wave simulator. The results show that, while CPLEX provides… More >

  • Open Access

    ARTICLE

    The Moderating Role of Control Strategies on the Relationship between Negative Emotions and QoL in the Elderly: A Longitudinal Study

    Ran Ma1,#, Chunyang Zhang2,#, Wei Xu1,*

    International Journal of Mental Health Promotion, Vol.27, No.4, pp. 469-483, 2025, DOI:10.32604/ijmhp.2025.060351 - 30 April 2025

    Abstract Background: Maintaining optimal quality of life (QoL) is a pivotal for “successful aging”. Understanding how the QoL of the elderly develops and what role psychological factors play in its development will help improve QoL from a psychological perspective. Embedded within the lifespan theory of control, this longitudinal study aimed to (1) map the temporal trajectory of QoL among Chinese older adults, (2) examine differential effects of tripartite negative emotions (stress, anxiety, depression), and (3) test the moderating role of control strategies (goal engagement, goal disengagement, self-protection) in emotion-QoL dynamics. Method: A prospective cohort of 345 community-dwelling… More >

  • Open Access

    ARTICLE

    A Double-Interactively Recurrent Fuzzy Cerebellar Model Articulation Controller Model Combined with an Improved Particle Swarm Optimization Method for Fall Detection

    Jyun-Guo Wang*

    Computer Systems Science and Engineering, Vol.48, No.5, pp. 1149-1170, 2024, DOI:10.32604/csse.2024.052931 - 13 September 2024

    Abstract In many Eastern and Western countries, falling birth rates have led to the gradual aging of society. Older adults are often left alone at home or live in a long-term care center, which results in them being susceptible to unsafe events (such as falls) that can have disastrous consequences. However, automatically detecting falls from video data is challenging, and automatic fall detection methods usually require large volumes of training data, which can be difficult to acquire. To address this problem, video kinematic data can be used as training data, thereby avoiding the requirement of creating… More >

  • Open Access

    ARTICLE

    Exploring Capillary Fringe Flow: Quasilinear Modeling with Kirchhoff Transforms and Gardner Model

    Rachid Karra1,*, Abdelatif Maslouhi2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1611-1631, 2024, DOI:10.32604/fdmp.2024.048447 - 23 July 2024

    Abstract Recent studies have underscored the significance of the capillary fringe in hydrological and biochemical processes. Moreover, its role in shallow waters is expected to be considerable. Traditionally, the study of groundwater flow has centered on unsaturated-saturated zones, often overlooking the impact of the capillary fringe. In this study, we introduce a steady-state two-dimensional model that integrates the capillary fringe into a 2-D numerical solution. Our novel approach employs the potential form of the Richards equation, facilitating the determination of boundaries, pressures, and velocities across different ground surface zones. We utilized a two-dimensional Freefem++ finite element model… More >

  • Open Access

    ARTICLE

    Federated Learning Model for Auto Insurance Rate Setting Based on Tweedie Distribution

    Tao Yin1, Changgen Peng2,*, Weijie Tan3, Dequan Xu4, Hanlin Tang5

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 827-843, 2024, DOI:10.32604/cmes.2023.029039 - 22 September 2023

    Abstract In the assessment of car insurance claims, the claim rate for car insurance presents a highly skewed probability distribution, which is typically modeled using Tweedie distribution. The traditional approach to obtaining the Tweedie regression model involves training on a centralized dataset, when the data is provided by multiple parties, training a privacy-preserving Tweedie regression model without exchanging raw data becomes a challenge. To address this issue, this study introduces a novel vertical federated learning-based Tweedie regression algorithm for multi-party auto insurance rate setting in data silos. The algorithm can keep sensitive data locally and uses… More >

  • Open Access

    ARTICLE

    Stochastic Models to Mitigate Sparse Sensor Attacks in Continuous-Time Non-Linear Cyber-Physical Systems

    Borja Bordel Sánchez1,*, Ramón Alcarria2, Tomás Robles1

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3189-3218, 2023, DOI:10.32604/cmc.2023.039466 - 08 October 2023

    Abstract Cyber-Physical Systems are very vulnerable to sparse sensor attacks. But current protection mechanisms employ linear and deterministic models which cannot detect attacks precisely. Therefore, in this paper, we propose a new non-linear generalized model to describe Cyber-Physical Systems. This model includes unknown multivariable discrete and continuous-time functions and different multiplicative noises to represent the evolution of physical processes and random effects in the physical and computational worlds. Besides, the digitalization stage in hardware devices is represented too. Attackers and most critical sparse sensor attacks are described through a stochastic process. The reconstruction and protection mechanisms… More >

  • Open Access

    ARTICLE

    Implementation of a solar model and shadow plotting in the context of a 2D GIS

    A validation based on radiometric measurements

    Thomas Leduc, Xenia Stavropulos-Laffaille, Ignacio Requena-Ruiz

    Revue Internationale de Géomatique, Vol.31, No.2, pp. 241-263, 2022, DOI:10.3166/rig31.241-263

    Abstract The adaptation of public spaces to episodes of intense heat is now a major challenge for cities. With this in mind, this article presents a contribution aimed at delineating and handling the shadows on the ground or in a horizontal plane at a given height, whether it comes from buildings, street furniture or the tree cover. After a comparison with shadows obtained via two reference tools, we present two urban sites that mix shadows of different origins and, in addition, different indicators. The results of the simulations are compared with pyranometric surveys carried out on More >

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