Qinfeng Pan¹, Wei Zhang¹, Hao Chen¹, Lin Pang², Xiang Liu^1,*, Chun Chieh Yip³

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.083328 - 30 June 2026

Abstract Ultra-high-performance concrete (UHPC) exhibits high strength, toughness, and durability, making it an excellent candidate for integration with novel high-ductility, high-strength negative Poisson’s ratio (NPR) steel bars. This combination shows promising applications in the fields of bridges and buildings. This study investigates the bonding performance of various types of NPR bars (smooth NPR bars, spiral rib NPR bars, and NPR steel strands) with UHPC as the concrete matrix. It examines the effects of bond length, bar diameter, and NPR bar type on bonding performance, comparing these results with those of normal concrete (NC). A predictive model… More >

Nayeemuddin Mohammed^1,2, Tahar Ayadat^1,2,*, Andi Asiz^1,2, Nadeem Pasha³

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.080495 - 30 June 2026

Abstract Significant efforts have been made to increase the strength of concrete by using industrial waste such as fly ash and steel slag as partial substitutes for concrete in concrete. However, predicting the concrete’s compressive strength is a challenge as it is influenced by several factors such as the shape and size of the aggregate, the water-ratio balance. This study examines the predictive capability of three deep learning models: Bagging Extreme Gradient Boosted Model (BXGBM), Deep Random Vector Functional Link (DRVFL), and Kernel Extreme Learning Machine (KELM) on the prediction for compressive strength of concrete. The… More >

Lin Zang¹, Muhammad Fadhil Marsani^2,*, Caiyan Long^1,2,*, Yongping Yu³

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.080465 - 30 June 2026

Abstract To bridge the gap between isolated structural and connection analyses in lightweight rail vehicle design, this study establishes an integrated modelling-simulation-verification framework. This integrated framework, developed via parametric FE modelling, multi-axial load simulation (per DIN EN 12663 & BS 7608), and standards-based verification, was applied to a specific housing design. Key results: (1) Under vertical ±3 g static loads, the tray experiences the maximum equivalent stress of 186.6 MPa, yielding a safety factor of 1.1 against the yield strength, which satisfies the minimum requirement (s₁ ≥ 1.15) of the DIN EN 12663 standard. (2) Under fatigue More >

Zhengxiang Ma^1,2,*, Xiaofei Ma¹, Xiaoliang Liu³, Heng Zhang⁴, Weichao Yu¹

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.079896 - 30 June 2026

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 >

Jia Wang¹, Jiayu Zhou¹, Kangjie Ling¹, Dewen Liu^1,2,*, Chenghao Xu^3,*

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.079519 - 30 June 2026

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 >

Guopeng Fan^1,*, Xuefeng Chen¹, Hao Liu¹, Jiaqing Zheng²

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.079234 - 30 June 2026

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 >

Anna Szymczak-Graczyk^1,*, Tomasz Garbowski², Florim Grajçevci³, Hajdar Sadiku³

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.079217 - 30 June 2026

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 >

Siwen Liu^1,2,3, Ke Mei^2,3, Shiyao Zhu^2,3, Ruiquan Liao^1,2,3,*, Xuyu Liu⁴

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.079206 - 30 June 2026

Abstract Acidic red soil is widely distributed in southern Jiangxi and exhibits strong corrosivity, posing a significant threat to buried pipeline steels. In this work, six acidic red soil samples collected from this region were analyzed in terms of their physicochemical characteristics using pH testing and ion chromatography, and corresponding simulated soil solutions were prepared. The corrosion behavior of L415 pipeline steel in these solutions was systematically evaluated through immersion weight-loss experiments, potentiodynamic polarization, electrochemical impedance spectroscopy (EIS), scanning electron microscopy (SEM), and X-ray diffraction (XRD). All six soil solutions were found to be acidic. Variations More >

Wu Yang¹, Quan Xu¹, Zhimin Zhou², Mingtao Ye³, Shaohua He^3,*

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.079184 - 30 June 2026

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 >

Bin Chen^1,2,3,*, Chao Qiu¹, Wanli Cui^1,2,3

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.079118 - 30 June 2026

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 >