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  • Open Access

    ARTICLE

    Low Cost Friction Damper Solutions for Seismic Performance Enhancement of Structures

    Radha Krishna Mallik1, Gokarna Bahadur Motra1, Krishna Shrestha2,3,*

    Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2025.075535 - 18 May 2026

    Abstract The study proposes a low-cost friction damper designed to enhance the seismic performance of buildings, particularly in regions where existing structures lack adequate seismic resistance and conventional friction dampers are cost-prohibitive or require specialized fabrication. Friction dampers are displacement-controlled devices that dissipate energy through constant slip-force action and relative displacement between attachment points, typically ensuring elastic structural behavior under Design Basis Earthquake (DBE) demands and controlled yielding under Maximum Considered Earthquake (MCE) conditions. To address limitations in current practice, the proposed device integrates the damping mechanism of vehicle leaf-spring suspension systems with rotational plate friction… More >

  • Open Access

    ARTICLE

    Prediction of Asphalt Pavement Rutting Depth Based on Multi-Model Fusion of Stacking Algorithm

    Chenhui Peng1, Jinbiao Tang1, Derun Zhang1,2,*

    Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.075421 - 18 May 2026

    Abstract Rutting is a serious issue in asphalt pavement, which may reduce the pavement driving quality and safety. Accurately predicting rutting depth is a crucial task in pavement engineering, providing crucial decision support for asphalt pavement design and maintenance. However, accurate prediction of pavement rutting still remains a significant challenge for pavement engineers. This research first selects the loading number, temperature, dynamic modulus, asphalt layer thickness, and base layer type and thickness as candidate features. Data preprocessing, including outlier handling and feature selection, is then performed. Finally, based on the stacking algorithm, a multi-model fusion approach… More >

  • Open Access

    ARTICLE

    Design and Modeling of Novel Wind Turbine Structures Incorporating Nanocomposite Materials

    Mohammed Yahya1,*, Safaaldeen A. Sulyman2, Joban Sahota1, Gursingh Aikum Dhugga1, Saiakash Shunmugavel1

    Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.074828 - 18 May 2026

    Abstract The structural integrity and longevity of wind turbine blades are critical determinants of the efficiency and reliability of wind energy systems. As the primary components responsible for converting kinetic wind energy into mechanical torque and subsequently electrical power, the aerodynamic, structural, and material characteristics of rotor blades directly influence turbine performance and operational lifespan. This research addresses the limitations of conventional blade designs, often characterized by stress concentration, fatigue damage, and dynamic instability by introducing a novel diamond-lattice internal support structure aimed at improving mechanical strength, fatigue resistance, and dynamic stability. Finite element simulations performed… More >

  • Open Access

    REVIEW

    Behavior of Headed Studs in Composite Structures: An Overview

    Mahmoud Alhashash1, Abdullah Alariyan2, Favzi Ghreivati3, Ahed Habib4,*, Maan Habib5

    Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.074644 - 18 May 2026

    Abstract Composite structures have become integral to modern construction owing to their efficiency, strength, and economic benefits, with steel-headed studs serving as critical shear connectors between concrete slabs and steel beams. Existing research has investigated these connectors through push-out and pull-out experiments, fatigue and cyclic protocols, durability and temperature-extreme studies, and a wide range of analytical, numerical, and data-driven models. This study addresses the lack of a consolidated and critical review by combining a systematic review with a bibliometric assessment of 385 Scopus-indexed publications from 2000 to 2025, which shows sustained growth of research output and… More >

  • Open Access

    ARTICLE

    Numerical Research on Multi-Directinal Deformation Control of Shield Tunnels under Surface Surcharge

    Pengfei Zhao1,*, Youlin Ye2

    Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.072074 - 18 May 2026

    Abstract Under soft soil geological conditions, tunnel engineering disturbances can induce changes in ground surface surcharges and lead to stress redistribution in the surrounding soils. As relatively unfavorable loads during engineering disturbances, ground surface surcharges significantly influence both transverse and longitudinal deformations of shield tunnel structures, resulting in increased ellipticity, segment dislocations, joint openings, and tunnel settlement. This study investigates the effect of two different steel plate reinforcement methods—annular steel plates and cross-joint steel plates—on tunnel structures under surface surcharge loading. Using the Mohr–Coulomb elastoplastic constitutive model, the influence of surface surcharges on shield tunnel segment… More >

  • Open Access

    ARTICLE

    Life-Cycle and Cost Assessment of Suspension Bridge Hangers Considering Traffic Loads and Maintenance Strategies

    Chao Guo1, Chao Deng2, Xing Bai3, Ziyuan Fan4, Jintao Li2, Yuan Ren2,*

    Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.075363 - 31 March 2026

    Abstract Hangers play a crucial role in transferring loads in suspension bridges, yet their condition often deteriorates faster than expected due to corrosion and fatigue effects. Premature hanger failure poses serious risks to bridge safety and results in significant economic loss due to frequent replacement and traffic interruption. To address these challenges, this study proposes an integrated framework to evaluate the life-cycle safety and operational cost of bridge hangers. Traffic data obtained from Weigh-in-Motion (WIM) systems are used to simulate dynamic hanger responses. A wire-to-hanger deterioration model is then employed to capture the time-dependent interaction between… More >

  • Open Access

    ARTICLE

    Experimental Validation on a Real-World Truss Structure of a Damage Localization Method Based on Mode Shape Derivatives

    Giada Faraco*, Andrea Vincenzo De Nunzio, Nicola Ivan Giannoccaro*, Arcangelo Messina

    Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.075327 - 31 March 2026

    Abstract Damage detection and localization analysis have gained increasing importance over the years, due to the growing number of catastrophic events and the associated risks that small, undetected cracks in structures may evolve into severe failures if not identified in time. In this context, vibration-based methods have been extensively investigated for structural damage detection. Among them, one of the most widely used approaches since its introduction is the curvature method. It has been successfully employed in numerous studies, consistently providing reliable results. However, the use of second-order or higher-order derivatives can be challenging when dealing with… More >

  • Open Access

    ARTICLE

    Deep Learning-Based Structural Displacement Identification and Quantification under Target Feature Loss

    Lishuai Zhu1, Guangcai Zhang1,*, Qun Xie1,*, Zhen Peng2, Li Ai3, Ruijun Liang1, Taochun Yang1

    Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.074620 - 31 March 2026

    Abstract Structural displacement monitoring faces significant challenges under complex environmental conditions due to the loss or degradation of target features, making it difficult for traditional methods to ensure high accuracy and robustness. Therefore, this study proposes a structural displacement identification and quantification method that integrates YOLOv8n with an improved edge-orientation gradient-based template matching algorithm. By combining deep learning techniques with traditional template matching methods, the accuracy and robustness of monitoring are enhanced under adverse conditions such as noise and extremely low illumination. Specifically, in the edge-orientation gradient matching stage, the Canny-Devernay sub-pixel edge detection technique and… More >

  • Open Access

    ARTICLE

    Dynamic Performance of Long-Span Continuous Beam Bridges under Autonomous Truck Platooning

    Zhihua Xiong, Xiaoling Liu*, Yinfeng Wang

    Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.074619 - 31 March 2026

    Abstract Autonomous truck platooning, as a novel transportation mode, has attracted significant attention due to its potential to improve transportation efficiency, reduce energy consumption, and lower operational costs. However, this emerging mode poses new challenges to the dynamic performance of long-span bridges. This study aims to investigate the impact of autonomous truck platoons on the dynamic performance of continuous beam bridges. Using finite element software to construct accurate vehicle-bridge interaction models, we simulated the dynamic response between vehicle platoons and bridge structures. The study systematically evaluated the effects of four key factors—vehicle speed, number of formations,… More >

  • Open Access

    ARTICLE

    A Robust Damage Identification Method Based on Modified Holistic Swarm Optimization Algorithm and Hybrid Objective Function

    Xiansong Xie1,*, Xiaoqian Qian2

    Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.074148 - 31 March 2026

    Abstract Correlation function of acceleration responses-based damage identification methods has been developed and employed, while they still face the difficulty in identifying local or minor structural damages. To deal with this issue, a robust structural damage identification method is developed, integrating a modified holistic swarm optimization (MHSO) algorithm with a hybrid objective function. The MHSO is developed by combining Hammersley sequence-based population initialization, chaotic search around the worst solution, and Hooke-Jeeves pattern search around the best solution, thereby improving both global exploration and local exploitation capabilities. A hybrid objective function is constructed by merging acceleration correlation… More >

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