Open Access

ARTICLE

Liyuan Wang¹, Heng Qiao¹, Zhenbin Huang¹, Krishna Shrestha^2,3,*, Xueyuan Yan¹
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.080806
（This article belongs to the Special Issue: Durability Assessment of Engineering Structures and Advanced Construction Technologies)
Abstract This paper introduces a novel external prestressing system specifically designed for strengthening hollow slab beams. To validate the system’s feasibility and isolate flexural behavior from interface slip effects, experimental investigations were conducted on monolithically cast specimens representing an idealized, fully bonded state. By integrating theoretical analysis, experimental testing, and finite-element numerical simulation, the study examines the mechanical behavior and design principles of the proposed configuration. Results indicate that the stress development process of the externally prestressed beam (N2) exhibits strong similarity to that of a conventional internally prestressed beam (N1). Notably, the implementation of the More >

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Hongmei Chen^1,*, Ronggui Liu¹, Feifei Jiang¹, Hsing-Wei Tai^2,3
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.078326
Abstract This paper analyzes the influence of different fibers (polypropylene fibers and basalt fibers) and fiber contents (0%–0.20%) on the bonding performance between recycled coarse aggregate concrete and steel bars. The results show that the addition of recycled aggregates can reduce the fluidity of concrete, whereas the addition of fibers can further reduce the fluidity of concrete. The addition of fibers can effectively improve the mechanical properties of concrete (polypropylene fiber can increase compressive strength and splitting tensile strength by 7.80% and 6.09%, respectively, while basalt fiber can increase compressive strength and splitting tensile strength by… More >

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Zhengxiang Ma^1,2,*, Xiaofei Ma¹, Xiaoliang Liu³, Heng Zhang⁴, Weichao Yu¹
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.079896
Abstract Steel surface defect detection is a key technology for ensuring the quality of steel products and the automation of production. However, in actual industrial scenarios, the complex texture background of steel surfaces often leads to low recognition of tiny defect features and easy confusion, and the full extraction and fusion of multi-scale features remain challenging. To address these issues, this paper proposes a lightweight and high-precision detection model based on the improved YOLOv11n, named YOLOv11-ODF. Firstly, in the backbone network, a C3k2_ODConv module integrating full-dimensional convolution (ODConv) is constructed, which enhances the model’s ability to… More >

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REVIEW

Abdullah Alariyan¹, Abdulhadi Alzabout², Mohammed Alariyan³, Anas Alaryan⁴, Mahmoud Alhashash⁵, Abdulrahman Ahmed⁶, Mohammed Abdulaal⁷, Ahed Habib^8,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.076012
Abstract Unsupervised machine learning has recently gained attention in structural health monitoring as engineers seek methods that can interpret large and complex data sets without prior labeling. Traditional diagnostic approaches often rely on predefined models or manual analysis, which limits their adaptability and efficiency when dealing with evolving structural behaviors or unforeseen conditions. Despite the growing interest in this domain, the literature remains fragmented, with limited systematic and bibliometric reviews that consolidate progress, identify prevailing trends, and clarify methodological limitations. This study addresses this gap through a comprehensive systematic and bibliometric review of research on unsupervised More >

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ARTICLE

Pengfei Zhao^1,*, Youlin Ye²
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.072074
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 >

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Yongjun Lu¹, Zhili Guo², Yongze Ye³, Xin Liu⁴, Yao Jin⁵, Xiang Xu^4,6,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.078396
（This article belongs to the Special Issue: Advances in Intelligent Operation and Maintenance Applications for Bridge Structures)
Abstract To fully leverage structural health monitoring data for bridge condition assessment, this study proposes a comprehensive evaluation method that integrates static and dynamic indicators using monitoring data, and demonstrates its feasibility through a short-term monitoring-based trend analysis on a newly built bridge. First, based on statistical principles, the Weibull distribution is employed to extract the dead-load component from static monitoring data. Building upon this, a static performance evaluation method is established by incorporating spatial uniformity and trend non-uniformity coefficients. Subsequently, spectral analysis is performed on the main girder acceleration data to extract fundamental frequency information… More >

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ARTICLE

Pengcheng Kang¹, Yuanyuan Tian¹, Ying Liu¹, Qian Xu¹, Yuting Chen¹, Lixin Jia², Shuge Guo², Heng Rong², Taolong Xu^2,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.077643
（This article belongs to the Special Issue: Greening the Pipes: Achieving Sustainability in Pipeline Engineering)
Abstract Accurate assessment of gas explosion risks in urban underground culverts is often hindered by the decoupling of leakage diffusion and explosion mechanics. This study develops a high-fidelity numerical framework by implementing a one-way coupling strategy, where the steady-state methane concentration field simulated in FLUENT is mapped into ANSYS/LS-DYNA as the initial material status. Unlike traditional models assuming uniform gas distribution, this approach captures the realistic impact of complex culvert geometries on explosion precursors. A multi-material coupled model involving the confined space, road surface, and surrounding air was established to investigate shock-wave propagation and structural response. The More >

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ARTICLE

Hongxing Li¹, Xizhong Xu^2,*, Liang Wang¹, Jiabo Hu², Zhice Zhao¹
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.081450
（This article belongs to the Special Issue: Sustainable and Durable Construction Materials)
Abstract Differential settlement control in highway widening projects on soft soil remains a major challenge. This study investigates the mechanisms of differential settlement in widened embankments and develops an intelligent prediction framework by integrating high-fidelity numerical simulations with physics-constrained deep learning. First, comprehensive numerical simulations were performed using a Hardening Soil (HS) model considering structural degradation in PLAXIS 2D. This work revealed the redistribution of additional stress under widening loads and elucidated the evolution mechanisms of plastic zone development and interface shear behavior at the junction of new and existing subgrades. A reasonable step width range… More >

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ARTICLE

Dung Bao Trung Le¹, Quoc Anh Vu¹, Hai Quang Nguyen^2,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.079036
Abstract The vibration and resonance behavior of steel frame structures are significantly affected by connection flexibility and geometric nonlinearity. Conventional vibration analyses often assume fully rigid beam-column connections and neglect second-order effects, which can lead to inaccurate predictions of natural frequencies and resonance conditions. This study proposes a finite element-based approach for the vibration analysis of planar steel frames with linear and nonlinear semi-rigid connections, explicitly incorporating geometric nonlinearity. Beam-column connections are modeled using nonlinear moment-rotation relationships, while elastic and geometric stiffness matrices, together with a consistent mass matrix, are integrated into the governing dynamic equations.… More >

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Shunpeng Yang¹, Yunpeng Wu¹, Wenwen Qin¹, Cheng Yang^2,*, Yu Qian³
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.077878
（This article belongs to the Special Issue: AI-Enhanced Low-Altitude Technology Applications in Structural Integrity Evaluation and Safety Management of Transportation Infrastructure Systems)
Abstract To enhance traffic infrastructure health monitoring via computer vision (CV) in adverse weather conditions, image dehazing has emerged as a critical processing step. However, current supervised dehazing models, typically trained on synthetic hazy-clean image pairs, often demonstrate limited generalization ability when deployed in real-world haze scenarios. This study proposes a novel unsupervised dehazing framework named the unpaired dual-domain dehazing network (UD³Net). Initially, a novel dual-domain convolutional mixer (DCM) is developed, which can extract local features in the spatial domain and global features in the frequency domain to achieve thorough information fusion, aiming to facilitate accurate estimation… More >

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Zixuan Zong¹, Tingting Long¹, Huaqing Dong^1,*, Guoqiang Huang¹, Xiao Meng¹, Mohammadamin Azimi²
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.077489
（This article belongs to the Special Issue: Greening the Pipes: Achieving Sustainability in Pipeline Engineering)
Abstract This paper proposes a novel approach for predicting the residual strength of corroded pipelines by combining the Kernel Extreme Learning Machine (KELM) with Sparrow Search Algorithm (SSA) optimization. The proposed SSA-KELM model addresses the limitations of traditional evaluation methods and single machine learning models in residual strength prediction. A dataset comprising 80 samples from burst tests and finite element simulations was used to validate the model. Results demonstrate that the SSA-KELM model achieves superior prediction accuracy with a maximum relative error of 13.54% and minimum relative error of 0.20%. The model’s mean absolute error (MAE), More >

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ARTICLE

Jia Wang¹, Jiayu Zhou¹, Kangjie Ling¹, Dewen Liu^1,2,*, Chenghao Xu^3,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.079519
Abstract This study investigates the wind-resistant performance of a masonry pagoda using ABAQUS. Modal analysis was first conducted to identify the first six vibration modes. Wind speed time histories generated via the harmonic superposition method in MATLAB were converted into wind pressure and applied to the pagoda’s surface. The time-history analysis method was employed to study wind-induced vibrations, obtaining nodal displacement time-history responses. Comparative analyses of structural responses were performed under 0° and 90° wind directions. Finally, Carbon fiber reinforced plastic (CFRP) reinforcement was applied, with post-reinforcement damage analysis systematically compared to the pre-reinforcement damaged state. More >

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ARTICLE

Guopeng Fan^1,*, Xuefeng Chen¹, Hao Liu¹, Jiaqing Zheng²
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.079234
（This article belongs to the Special Issue: High Resolution Ultrasonic Non-Destructive Testing of Complex Structures)
Abstract Low-frequency ultrasonic array is commonly used to detect interlayer voids located in high-speed railway ballastless track, which is a typical multilayer concrete bonded structure. The difficulty of detection lies in the fact that the total focusing method (TFM) based on a single fixed sound velocity model cannot adapt to the acoustic propagation characteristics of multilayer structures, which is prone to generating artifacts. In addition, the long duration of low-frequency ultrasonic pulses is prone to causing significant deviations in defect localization. To address these issues, a theoretical model of the layered bonded structure is proposed. The… More >

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ARTICLE

Wu Yang¹, Quan Xu¹, Zhimin Zhou², Mingtao Ye³, Shaohua He^3,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.079184
（This article belongs to the Special Issue: Innovative and Sustainable Materials for Reinforced Concrete Structures)
Abstract Ultra-high performance concrete (UHPC) exhibits exceptional mechanical properties and durability, making it highly suitable for infrastructure applications. This paper presents the design and evaluation of an innovative steel frame-UHPC composite deck intended for temporary trestles subjected to heavy construction loads and corrosive environments. The mechanical performance of the proposed composite deck was investigated through advanced finite element modeling and full-scale experimental testing. Structural responses of the trestle structure equipped with the composite deck under a 150-t crawler crane were analyzed numerically, while a three-point bending test on a full-scale steel frame-UHPC composite deck determined its… More >

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ARTICLE

Hieu Nghia Hoang¹, Ngoc Hieu Pham^2,*, Quoc Anh Vu², Trong Nghia Mai²
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.079079
Abstract The paper presents an analysis of measured geometric imperfections in cold-formed aluminium alloy channel members that is the base for the proposal of representative values for each imperfection component for use in future research and design standards. Cold-formed aluminium alloy sections have recently been developed and found to be more cost-effective than conventional extruded sections. Cold-formed metal sections typically contain significant geometric imperfections; the effects of these imperfections have been demonstrated in numerous previous studies and should therefore be considered in analyses. Cold-formed aluminium sections remain relatively new worldwide, and available data on their geometric… More >

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ARTICLE

Guansi Liu¹, Hui Jin^1,*, Keqin Ding², Hao Wang³, Violeta Mircevska⁴, Maosen Cao⁵
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.079074
（This article belongs to the Special Issue: Smart Sensors and Smart CFRP Components for Structural Health Monitoring of Aerospace, Energy and Transportation Structures)
Abstract In response to the dynamic changes in fatigue damage location of crane welding structures under lifting loads and the difficulty in accurately obtaining the stress concentration factor of welds, which results in limited effetiveness of traditional health monitoring sensor placement. This paper proposes aa sensor placement optimization method that integrates damage prediction and risk assessment. Firstly, the influence of weld geometry on fatigue performance is analyzed, and a rapid estimation model for the stress concentration factor is established using a radial basis function support vector machine. Furthermore, a fatigue damage prediction model for the welded… More >

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ARTICLE

Wenwen Hu¹, Xinzhan Li², Tao Luo^2,*, Li Li²
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.077120
（This article belongs to the Special Issue: Infrastructure Resilience Enhancement Empowered by Intelligent Perception and Advanced Algorithms)
Abstract This study experimentally investigates the Hybrid Effect of Steel Fiber (SF) and Recycled Rubber Powder (RRP) on Freeze-Thaw (F-T) Resistance and Pore Structure of Concrete. With respect to the mechanical properties of Steel Reinforced Concrete (SRC) before and after F-T cycles, the mixture incorporating 1.5% SF and 10% RRP achieves the optimal performance, exhibiting a distinct positive hybrid effect with the γ of the tensile-to-compressive strength ratio of 1.427. The synergistic interaction between SF and RRP preserves the compressive strength and significantly enhances the tensile performance of SRC. Meanwhile, it alleviates the degradation of mechanical More >

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ARTICLE

Bin Chen^1,2,3,*, Chao Qiu¹, Wanli Cui^1,2,3
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.079118
（This article belongs to the Special Issue: Health Monitoring of Transportation Infrastructure Structure)
Abstract Ground-penetrating radar (GPR) imaging is widely used for detecting hidden defects in urban roads. However, the complex noise environment, large-scale variations in defect features, and the sensitivity of slender defects to annotation errors pose significant challenges to accurate detection. To address these issues, this study proposes an improved object detection framework, termed DFF-MoCA-YOLO, based on YOLOv11 for identifying void and loose defects in GPR images. First, a multi-strategy gated feature fusion module (MSGFF-C3k2) is designed to enhance feature robustness against complex noise and scale variations. Then, a Monte Carlo Attention (MoCAttention) module is introduced to… More >

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ARTICLE

Anna Szymczak-Graczyk¹, Zijadin Guri², Ilir Canaj², Tomasz Garbowski^3,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.080104
（This article belongs to the Special Issue: Modern Inverse Analysis Approaches for Structural Diagnosis and Parameter Identifications)
Abstract In this study, an energy-consistent analytical–numerical framework is proposed to determine the effective shear correction factor ks for non-homogeneous cross-sections within the Timoshenko beam theory, such as a porous cementitious matrix (e.g., perlite-based material) combined with an embedded steel I-section. The formulation enforces equivalence between the real heterogeneous shear strain energy, governed by a spatial shear modulus field G(y,z), and its beam-theory representation based on ks(GrefA). A pixel/voxel discretization is introduced to evaluate the generalized shear-energy integral and to quantify the deviation of ks from classical homogeneous benchmarks. The results demonstrate… More >

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ARTICLE

Anna Szymczak-Graczyk^1,*, Tomasz Garbowski², Florim Grajçevci³, Hajdar Sadiku³
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.079217
（This article belongs to the Special Issue: Modern Inverse Analysis Approaches for Structural Diagnosis and Parameter Identifications)
Abstract Sinking wells (open caissons) are widely used deep foundation structures whose installation by the cut-and-sink method may lead to unintended deviation from verticality due to heterogeneous soil conditions and construction irregularities. While tilting is a frequently observed phenomenon, quantitative criteria for assessing the admissibility of an inclined well after completion of sinking remain insufficiently defined. This study presents a static analytical framework for evaluating stress redistribution beneath the concrete plug of a tilted well. The analysis is based on eccentric vertical load transfer and derives closed-form relationships linking the permissible inclination angle to well geometry… More >

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Luis Sánchez Calderón^*, David Valverde Burneo, Walter Hurtares Orrala
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.077137
（This article belongs to the Special Issue: AI-Driven and Computer-Vision-Based Sensing Technology for Real-Time, Non-Destructive Applications)
Abstract Accurate characterization of live load histories remains critical for structural safety and efficient design; however, traditional codes often overestimate in-service loads. This study introduced an AI-driven framework integrating YOLOv8 object detection and DeepFace gender classification with continuous video surveillance to monitor live loads in academic buildings. Gender classification used local anthropometric data (77 kg males, 61 kg females) for precise load estimation, with privacy ensured via local processing and anonymized metadata only. Observed peaks were substantially below Eurocode and IBC provisions, confirming code conservatism. Uncertainty propagation from detector errors (recall 0.57, ±0.02 Kn/m²) minimally impacted projections. More >

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ARTICLE

Xiaodong Jia^1,*, Xiao Li², Yi Zhao³
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.077108
（This article belongs to the Special Issue: Durability Assessment of Engineering Structures and Advanced Construction Technologies)
Abstract With the increasing environmental pressure caused by waste plastic (WP), incorporating recycled plastics into asphalt concrete has become a promising strategy for sustainable pavement construction. In this study, waste polyethylene terephthalate (PET) was utilized to replace mineral aggregates through a dry process, and the effects of particle size and replacement level on the mechanical performance of asphalt concrete were systematically evaluated. High-temperature deformation resistance was assessed using wheel-tracking tests, followed by dynamic modulus measurements to examine the viscoelastic behavior and structural stiffness. Low-temperature cracking resistance was studied through fracture toughness and fracture energy tests, and… More >

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ARTICLE

Gebrail Bekdaş^*, Sinan Melih Nigdeli, Omer Elselumi
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.078870
Abstract This study presents a comparison study between a Tuned Mass Damper (TMD) and Multiple Tuned Mass Dampers (MTMD). The main novelty of this study lies in the unified optimization-based comparison of optimized and fixed-mass MTMD configurations, highlighting the trade-off between seismic performance and practical applicability compared to a single large TMD installed at the top of the building. The Jaya algorithm is used to determine the optimum solution of mass damper parameters. Three cases are examined. The first case is the building with the TMD system. The second case is the building with the MTMD… More >

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ARTICLE

Rong Wang¹, Zhilin Feng², Xinxin Cao^3,*, Jiangbo Qin⁴
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.078438
Abstract To address the critical issues of low-temperature cracking and insufficient fatigue durability in high-content Recycled Asphalt Pavement (RAP) mixtures caused by aging-induced embrittlement, this study aims to establish a cross-scale cracking resistance evaluation system ranging from binder rheological properties to mixture failure behavior. This research selected various RAP contents (15%–60%) and rejuvenator dosages (0%–12%) to quantify the fatigue damage evolution of rejuvenated binders using Linear Amplitude Sweep (LAS) tests combined with the Viscoelastic Continuum Damage (VECD) model. Furthermore, Semi-Circular Bend (SCB) tests were employed under two loading modes—low-temperature (−12°C) monotonic loading and intermediate-temperature (20°C) cyclic… More >

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Ziliang Yang¹, Mykola Sysyn², Jin Li¹, Jizhe Zhang¹, Jian Liu¹, Lei Kou^1,3,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.078140
（This article belongs to the Special Issue: Infrastructure Resilience Enhancement Empowered by Intelligent Perception and Advanced Algorithms)
Abstract Accurate assessment of the failure stage of rail rolling contact fatigue (RCF) is critical for guiding timely maintenance by track personnel, ensuring safe rail operations, and reducing maintenance costs. Although various methods have been developed to detect rail damage and classify surface defects, the rolling contact fatigue failure state of rails has not yet been comprehensively and objectively evaluated. This paper introduces the application of image processing and improved deep-learning network algorithms in rail failure evaluation and judgment. Based on Swin Transformer, a deep learning network is developed. By dividing the rail rolling contact fatigue More >

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REVIEW

Mahmoud Alhashash¹, Abdullah Alariyan², Favzi Ghreivati³, Ahed Habib^4,*, Maan Habib⁵
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.074644
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 >

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434

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REVIEW

Guowu Li¹, Xiaopeng Huang², Tao Zhu¹, Yi Zheng¹, Peyman Aela^3,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.078679
（This article belongs to the Special Issue: Sustainable and Durable Construction Materials)
Abstract Basalt fiber (BF), derived from abundant volcanic rock in China, represents a sustainable reinforcement material for pavement engineering, addressing challenges like durability, corrosion, and environmental impact. This comprehensive review synthesizes BF’s properties, including high tensile strength (3000–4800 MPa), thermal stability (−269°C to 700°C), and superior chemical resistance compared to steel or polypropylene fibers. Production involves melting basalt at 1450°C–1500°C, with China leading in resources and standards like JT/T776.1-2010. Applications in asphalt concrete enhance rutting resistance by 30%–50% and fatigue life by 20%–40%, while in cement concrete, BF improves crack resistance and impermeability by 30%–55%. BF More >

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ARTICLE

Mustapha Hatoum¹, Alessandro P. Fantilli^1,*, Bernardino Chiaia¹, Georgios Kalamaras²
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.076141
（This article belongs to the Special Issue: Innovative and Sustainable Materials for Reinforced Concrete Structures)
Abstract This study investigates the contribution of fibers to the durability of reinforced concrete tunnel linings. Two cast-in-situ tunnels are herein analyzed after twenty years of service. Tunnel #1, made with plain concrete and steel rebar, has shown significant spalling at joints between two consecutive tunnel panels, caused by poor workmanship and construction details. Conversely, in Tunnel #2, close to Tunnel #1 on the same motorway, fiber-reinforced concrete (FRC) was used in combination with steel rebar. During the service life, the amount of FRC spalled from the cold joints of this lining has been significantly lower than More >

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Mohammed Yahya^1,*, Safaaldeen A. Sulyman², Joban Sahota¹, Gursingh Aikum Dhugga¹, Saiakash Shunmugavel¹
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.074828
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 >

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REVIEW

Abdullah Alariyan¹, Anas Alaryan², Mahmoud Alhashash³, Abdulhadi Alzabout⁴, Mohammed Alariyan⁵, Mohammed Abdulaal⁶, Abdulrahman Ahmed⁷, Ahed Habib^8,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.076385
Abstract The increasing environmental concerns associated with traditional construction materials have forced the exploration of sustainable alternatives, such as biomaterials in cement-based composites. Despite their potential to significantly reduce carbon footprints and enhance environmental sustainability, comprehensive literature analyzing the integration, characteristics, and behavior of biomaterials within cement matrices remains sparse. This gap underscores a crucial need for a review to consolidate existing knowledge and identify future research trajectories. This study aims to conduct a review of the characteristics and behavior of cement-based composites with biomaterials. It also aims to establish a clear understanding of how biomaterials… More >

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ARTICLE

Haoyu Li¹, Jiayi Wang¹, Zhaoyu Wu¹, Shuo Yan¹, Ziqi Zhang¹, Yang Gao^2,3, Genwang Peng^2,3, Zhiwei Cao^2,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.077736
（This article belongs to the Special Issue: AI-Enhanced Low-Altitude Technology Applications in Structural Integrity Evaluation and Safety Management of Transportation Infrastructure Systems)
Abstract Key components of rail transit systems, such as tracks and vehicle bodies, are prone to developing various types and manifestations of defects during long-term operation. These defects not only accelerate component aging and failure but also pose serious threats to train operational safety. Among existing intelligent detection methods, they mostly rely solely on visible light images demonstrate limited robustness in complex scenarios. This limitation stems from their high dependence on ambient lighting conditions, rendering them insufficient to meet practical railway inspection requirements. While mainstream multimodal detection methods incorporate the complementary strengths of heterogeneous data sources,… More >

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Minyan Zhan¹, Wei Yang^2,3, Minghao Wu^4,*, Hsin-Yi Wang⁵, Yu-Hsien Ho⁵
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.077926
（This article belongs to the Special Issue: Advanced Detection Technologies and Interpretable Machine Learning Methods in Energy Infrastructure)
Abstract The inclination of wooden columns is a key indicator for evaluating the structural safety of traditional timber buildings in China. However, accurate measurement is challenging because these columns typically exhibit natural tapering, with diameters decreasing from the base to the top, and surface irregularities such as artificial cuts, cracks, and knots. Both the intrinsic geometric characteristics and surface defects reduce the precision of coordinate acquisition and the reliability of inclination estimation. To overcome these limitations, this study proposes a novel inclination measurement method for wooden columns in traditional timber buildings based on multi-section measurement and… More >

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ARTICLE

Mingliang Yang¹, Yuyu Miao^1,*, Xijun Xu², Heng Yang¹, Dong Qing¹, Keyuan Zhao¹
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.078754
Abstract The autonomous grasping of flexible slings is a pivotal challenge for unmanned crane systems, primarily stemming from the slings’ geometric indeterminacy, material compliance under load, and stochastic initial pose relative to the hook. To address this challenge, we propose an intelligent hook system featuring a novel compound mechanical architecture. This architecture integrates a horizontal slewing mechanism for in-plane alignment with a self-locking worm-gear drive for secure grasping. A coordinated control strategy, employing a Fuzzy PID algorithm, ensures robust dynamic performance under variable loading conditions. Finite element analysis confirms structural integrity under a rated load of More >

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Yaoying Yue¹, Yang Wang^1,*, Nan Lin^2,*, Xingze Sun², Bin Sun¹, Dong Wang³, Zongjie Zhou¹
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.076697
Abstract Polyethylene (PE) pipes are widely used in various gas transmission applications due to their excellent flexibility and other advantages. As high-molecular-weight non-metallic polymeric materials, they inevitably undergo degradation and aging during service under the action of environmental factors such as temperature and ultraviolet (UV) radiation, which impairs their service performance. To investigate the effects of environmental factors on the aging and degradation of PE pipes, a reliable method for predicting their service life was developed in this study. Taking PE80 DN110 pipes as the research subject, an accelerated aging method was adopted to simulate the… More >

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Hui Zhang^1,*, Yingying Xie¹, Yu Zhang^2,*, Zhan Gao¹, Aijun Li¹, Sheng Shi¹, Xingyue Li¹, Zheming Zhou¹, Haotian Wang¹
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.075835
Abstract A composite bridge deck system consisting of an orthotropic steel deck and a normal-temperature-cured reactive powder concrete (RPC) layer is proposed to address the problems of pavement damage and fatigue cracks in steel bridge decks. In this study, a local finite element model of a bridge segment was established using ANSYS to calculate and compare the stress states of four deck systems: normal-temperature-cured RPC composite box girders, high-temperature-cured RPC composite box girders, pure steel box girders, and ordinary concrete composite box girders. Additionally, static load tests were conducted on a scaled local model to validate… More >
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Bin Chen¹, Wanli Cui^1,2, Wenhui Li³, Jiachen Yu⁴, Zhanzhan Tang^4,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.078200
（This article belongs to the Special Issue: Greening the Pipes: Achieving Sustainability in Pipeline Engineering)
Abstract The outstanding performance of unplasticized polyvinyl chloride (UPVC) has led to its widespread use in urban underground pipeline systems. However, understanding the effects of high-temperature industrial wastewater on the buried pipes is very complicated. To investigate the influence of industrial wastewater on the safety of pipes, the mechanical properties were tested using the material specimens. The changes in mechanical properties caused by the environmental temperature and heat cycles were experimentally analyzed. Empirical formulas to predict the mechanical parameters of UPVC pipe material were proposed. The ultimate strength of underground urban pipes was numerically studied by More >

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Mingxia Li^1,*, Haowei Xu¹, Ruiqi Li¹, Bo Song², Wanxu Zhu^1,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.075587
（This article belongs to the Special Issue: AI-driven Monitoring, Condition Assessment, and Data Analytics for Enhancing Infrastructure Resilience)
Abstract Conventional fiber Bragg grating (FBG) sensors used for tensile monitoring have a limited measurement range and therefore cannot cover the entire service stage of prestressed carbon-fiber-reinforced polymer (CFRP)–strengthened members. In this study, a smart CFRP plate is developed by embedding a wide-range FBG sensor in a prestressed CFRP plate. Based on strain-transfer theory for the grating region, an analytical expression for the average strain-transfer rate is derived and then used to inversely design the groove geometry and bonding parameters; the resulting groove size is 0.5 mm × 0.5 mm. During bonding, a tensile force of… More >

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Chenhui Peng¹, Jinbiao Tang¹, Derun Zhang^1,2,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.075421
（This article belongs to the Special Issue: Big Data and Machine Learning for Health Monitoring and Maintenance of Transportation Infrastructure)
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 >

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You-Yong Tang¹, Yong-Hao Liu², Dong-Yang Wei¹, Xiao-Wei Feng², Jose Campos e Matos³, David Hui⁴, Hua-Ping Wang^1,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.075676
（This article belongs to the Special Issue: Smart Sensors and Smart CFRP Components for Structural Health Monitoring of Aerospace, Energy and Transportation Structures)
Abstract Carbon fiber reinforced polymer (CFRP) laminates are widely used in aerospace, new energy, and transportation engineering due to their high specific strength and stiffness. However, interlaminar delamination damage can lead to sudden structural failure, and the occurrence and prediction of such hidden defects are difficult to identify and evaluate using conventional inspection methods. To address this, smart CFRP laminates integrated with fiber Bragg grating (FBG) sensors offer a new approach for real-time structural health monitoring (SHM). Nevertheless, the influence mechanisms of the two integration methods—embedded and surface-bonded FBG sensors—on the static strength and impact resistance… More >

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Jun Wang¹, Qian Fang^1,*, Weiguo He², Yanxin Chen¹, Qizhao You¹
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2025.076570
（This article belongs to the Special Issue: Durability Assessment of Engineering Structures and Advanced Construction Technologies)
Abstract This study presents a comprehensive investigation into the deformation mechanisms of existing metro stations subjected to the simultaneous construction of adjacent foundation pits and underground tunnels. A refined three-dimensional numerical modeling framework is developed to simulate the entire construction process, capturing the complex interactions between excavation activities and station structures. The modeling encompasses deep excavation, side-crossing, and overcrossing passage construction, and the staged installation of support systems. Six construction schemes, varying in excavation sequence, interlayer thickness (clear distance), and passageway layout, are systematically analyzed. Field monitoring data are incorporated to validate the numerical models, enhancing… More >

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Radha Krishna Mallik¹, Gokarna Bahadur Motra¹, Krishna Shrestha^2,3,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2025.075535
（This article belongs to the Special Issue: Vibration Control, Dampers and Structural Health Monitoring)
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 >

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