Qingmin Hou¹, Guanghua Xiao¹, Tongtong Dai^2,*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.087157 - 24 August 2026

Abstract To address the issue of angular deviation in inclined single-axis photovoltaic tracking mounts during long-term operation-caused by wind disturbances, mechanical transmission gaps, installation inaccuracies, and environmental factors-a angle sensor based on reflective fiber-optic ranging principles has been developed for monitoring the rotation angle of the main shaft. This sensor employs a structural conversion approach of “using straight lines to replace curves”, transforming the shaft’s rotational angle into linear displacement of a mirror via a gear-rack mechanism, and generating corresponding output voltage signals through variations in reflected light intensity to measure rotation angles. Due to factors… More >

Jiyi Li¹, Zongqi Xiong², Xinxin Cao^3,*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.083367 - 24 August 2026

Abstract In response to the common interlaminar shear and delamination defects in the pavement of long-span steel bridges, this paper investigates the interface fatigue failure mechanism of the “SMA-13 + epoxy resin + orthotropic steel plate” system. Static direct shear tests indicate that the optimal application rate of epoxy resin is 1.5 kg/m², and that elevated temperatures cause the failure mode to transition from brittle fracture to ductile creep. Based on full-factorial dynamic shear fatigue tests, this study discarded subjective empirical thresholds and innovatively proposed the “geometric tangent method” to quantitatively define fatigue life. Analysis of variance More >

Yongning Zhang¹, Dongxue Li^1,2,*, Cen Yang³, Yongwang Gui⁴

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081767 - 24 August 2026

Abstract To address the challenge that the baseline state of FE models for operational highly statically indeterminate bridges is difficult to evaluate accurately, this paper proposes an intelligent multi-parameter inversion and updating framework driven by measured dynamic strains and a LSTM neural network. First, to tackle the complex environmental interferences coupled within short-term monitoring strain signals, a moving-window baseline detrending and refined thermal effect decoupling algorithm is employed. This successfully strips away long-term dead loads and temperature drift, extracting pure mechanical strain sequences with a high signal-to-noise ratio. Second, to overcome the mode omission issue caused… More >

Yangkai Ou, Boi-Yee Liao^*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081608 - 24 August 2026

Abstract Based on three-component (E–N–Z) ambient vibration observations, this study investigates the dynamic characteristics of shallow subsurface conditions and their influence on the seismic response of a high-rise building in a complex urban environment. Ambient vibration measurements were conducted to characterize site dynamic properties and to explore their relationship with structural vibration behavior. Frequency, amplification factor, and site vulnerability index were extracted using the horizontal-to-vertical (H/V) spectral ratio method applied to ambient vibration records. An empirical relationship between the fundamental frequency and sedimentary layer thickness was established using ambient vibration observations and borehole investigation data, and… More >

Dongjie Tan¹, Xiaoyu Yang², Xinxin Cao^3,*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081510 - 24 August 2026

Abstract Interfacial adhesion failure is the primary limiting factor in the long-term durability of epoxy-emulsified asphalt micro-surfacing pavements. However, while digital image correlation (DIC) has been extensively applied to evaluate the bulk fatigue of traditional hot-mix asphalt and concrete, its specific application to the complex bi-material interface between rigid concrete substrates and cold-mixed, thermosetting epoxy-asphalt overlays remains limited. Consequently, current research lacks real-time data on full-field strain evolution and the transitional damage localisation mechanisms during dynamic fatigue processes under extreme temperature gradients. To this goal, three-point bending fatigue tests were performed at various temperatures (ranging from… More >

Hongxing Li¹, Xizhong Xu^2,*, Liang Wang¹, Jiabo Hu², Zhice Zhao¹

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081450 - 24 August 2026

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 >

Jing Cui¹, Yong Qin^2,*, Yixuan Geng³, Miao Guo^4,*, Xue Yang⁴, Wanyin Shi⁵

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081306 - 24 August 2026

Abstract Noise barriers (NBs) play a significant role in reducing railway noise and preventing foreign-object intrusion. However, surface damage, corrosion, rust, missing components, and local deformation may gradually reduce their structural reliability and threaten railway operation safety. Because NB anomalies are diverse and defect samples are limited, it remains difficult to build a general detector using conventional supervised learning. To address this problem, this study proposes an unsupervised anomaly detection system for railway NBs using UAV imagery. First, a color-prior-based NB localization algorithm is developed in the HSV color space to extract NB regions without cumbersome More >

Zhichao Liu^1,2, Jun Zhang^2,*, Dongling Yu³, Libing Jin¹, Bingquan Song³

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081186 - 24 August 2026

Abstract The chloride ion penetration resistance of manufactured sand concrete (MSC) critically determines the durability of marine concrete structures. However, its accurate prediction is challenging due to high uncertainty from complex influencing factors. To address this, a back-propagation neural network model optimized by a hybrid Whale Optimization Algorithm and Adaptive Moment Estimation strategy (WOA-Adam-BPNN) was developed to predict the electrical flux. The model was trained and tested on 245 experimental datasets covering eight key parameters and validated across four typical mix proportions. Results show that the WOA-Adam hybrid strategy effectively combines global search capability with adaptive More >

Ching-Lung Fan^*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081046 - 24 August 2026

Abstract Quality attainment in public construction projects is paramount for effective project management. This study employs Principal Component Analysis (PCA) in the initial phase to discern noncollinear critical defects from inspections across 1015 projects. The identified components are categorized into three aspects: Inspection Records and Occupational Safety and Health (Aspect I), Concrete Quality (Aspect II), and Construction Team Quality Management (Aspect III). Subsequently, a Multilayer Perceptron (MLP) network, trained on 13 PCA-identified critical defects, transforms input data into a probability, indicating project quality. The MLP model exhibits exceptional performance with 91.3% accuracy, 90.2% precision, and 96.1% More >

Xinzhan Li¹, Haixin Sun², Li Li^1,3,*, Zongjin Li³, Guangming Xie⁴, Guangzhao Li⁴

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.081014 - 24 August 2026

Abstract To utilize waste clay bricks and reduce carbon emissions, recycled brick powder (RBP) was prepared from waste brick-concrete structures and used to produce alkali-activated slag-recycled brick powder foam concrete (ASRFC). This paper evaluated the impact of RBP replacement rates and water-binder ratio on the physical and mechanical properties of foam concrete, including its thermal conductivity, strength, and pore structure. The results demonstrated that the addition of 10% RBP resulted in decreases in the apparent density and thermal conductivity of ASRFC, while flexural strength and the flexural-compressive strength ratio exhibited significant increases. These phenomena can all… More >