Mengqiang Yu¹, Xingcheng Wang¹, Chen Quan¹, Mingxin Sun¹, Yujun Yang², Xiaodong He¹, Wu Sun^2,*, Pengfei Cao^1,*

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1127-1143, 2025, DOI:10.32604/sdhm.2025.067069 - 05 September 2025

Abstract Accurate measurement of anchor rod length is crucial for ensuring structural safety in tunnel engineering, yet conventional destructive techniques face limitations in efficiency and adaptability to complex underground environments. This study presents a novel wireless instrument based on the standing wave principle to enable remote, non-destructive length assessment. The system employs a master-slave architecture, where a handheld transmitter unit initiates measurements through robust 433 MHz wireless communication, optimized for signal penetration in obstructed spaces. The embedded measurement unit, integrated with anchor rods during installation, utilizes frequency-scanning technology to excite structural resonances. By analyzing standing wave… More >

Bunyamin Bunyamin^1,2, Taufiq Saidi³, Sugiarto Sugiarto^3,4, Muttaqin Hasan^3,*

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1089-1109, 2025, DOI:10.32604/sdhm.2025.066887 - 05 September 2025

Abstract Aceh in Indonesia is rich in marine resources and abundant fishery products such as oyster. Traditionally, fishermen only harvest oysters and discard the shells, which can cause pollution and environmental contamination. Waste Oyster Shells (WOS) contain a high percentage of calcium carbonate (CaCO₃) that experiences thermal decomposition at high temperature, following the reaction CaCO₃ → CaO + CO₂ (ΔT = 825°C). At temperature > 900°C, dead-burned lime is formed, which severely influences CaO reactivity. However, the optimum temperature for producing high CaO content is still uncertain. Therefore, this study aimed to determine the optimum calcination temperature to… More > Graphic Abstract

Yuhao Zhang^1,2,3, Peiqiang Zhao^1,2, Xing Chen^1,2, Shaoxuan Zhang⁴, Xinglin Zhang^1,2,*

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1343-1365, 2025, DOI:10.32604/sdhm.2025.066558 - 05 September 2025

Abstract The structural integrity monitoring of high-density polyethylene (HDPE) geomembranes in landfill containment systems presents a critical engineering challenge due to the material’s vulnerability to mechanical degradation and the complex vibration propagation characteristics in large-scale installations. This study proposes a dual-stream deep learning framework that synergistically integrates raw vibration signal analysis with physics-guided feature extraction to achieve precise rupture detection and localization. The methodology employs a hierarchical neural architecture comprising two parallel branches: a 1D convolutional network processing raw accelerometer signals to capture multi-scale temporal patterns, and a physics-informed branch extracting material-specific resonance features through continuous More >

Peng Sun^1,2, Dechen Yao^1,2,*, Jianwei Yang^1,2, Quanyu Long^1,2

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1221-1239, 2025, DOI:10.32604/sdhm.2025.066098 - 05 September 2025

Abstract Supervised learning-based rail fastener anomaly detection models are limited by the scarcity of anomaly samples and perform poorly under data imbalance conditions. However, unsupervised anomaly detection methods based on diffusion models reduce the dependence on the number of anomalous samples but suffer from too many iterations and excessive smoothing of reconstructed images. In this work, we have established a rail fastener anomaly detection framework called Diff-Fastener, the diffusion model is introduced into the fastener detection task, half of the normal samples are converted into anomaly samples online in the model training stage, and One-Step denoising… More >

Huichao Cao^1,*, Honghe Du¹, Dongnian Jiang¹, Wei Li¹, Lei Du¹, Jianfeng Yang²

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1305-1325, 2025, DOI:10.32604/sdhm.2025.066002 - 05 September 2025

Abstract In the production processes of modern industry, accurate assessment of the system’s health state and traceability non-optimal factors are key to ensuring “safe, stable, long-term, full load and optimal” operation of the production process. The benzene-to-ethylene ratio control system is a complex system based on an MPC-PID double-layer architecture. Taking into consideration the interaction between levels, coupling between loops and conditions of incomplete operation data, this paper proposes a health assessment method for the dual-layer control system by comprehensively utilizing deep learning technology. Firstly, according to the results of the pre-assessment of the system layers… More >

Caiping Huang^*, Hui Li, Zihang Yu

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1287-1304, 2025, DOI:10.32604/sdhm.2025.065930 - 05 September 2025

Abstract Semantic segmentation of concrete bridge defect images frequently encounters challenges due to insufficient precision and the limited computational capabilities of mobile devices, thereby considerably affecting the reliability of bridge defect monitoring and health assessment. To tackle these issues, a concrete defects dataset (including spalling, crack, and exposed steel rebar) was curated and multiple semantic segmentation models were developed. In these models, a deep convolutional network or a lightweight convolutional network were employed as the backbone feature extraction networks, with different loss functions configured and various attention mechanism modules introduced for conducting multi-angle comparative research. The… More >

Wenda Ma, Qizhi Tang^*, Huang Lei, Longfei Chang, Chen Wang

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1265-1286, 2025, DOI:10.32604/sdhm.2025.065294 - 05 September 2025

Abstract Lost acceleration response reconstruction is crucial for assessing structural conditions in structural health monitoring (SHM). However, traditional methods struggle to address the reconstruction of acceleration responses with complex features, resulting in a lower reconstruction accuracy. This paper addresses this challenge by leveraging the advanced feature extraction and learning capabilities of fully convolutional networks (FCN) to achieve precise reconstruction of acceleration responses. In the designed network architecture, the incorporation of skip connections preserves low-level details of the network, greatly facilitating the flow of information and improving training efficiency and accuracy. Dropout techniques are employed to reduce… More >

Zhiyong Wan¹, Guozhang Luo², Pailin Fang², Menghui Ji², Zhizhao Ou³, Shaohua He^3,*

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1327-1341, 2025, DOI:10.32604/sdhm.2025.065177 - 05 September 2025

Abstract This investigation examines the shear performance of concrete T-beams reinforced with thin layers of ultra-high performance concrete (UHPC) through an approach that integrates experimental evaluation, numerical simulation, and practical project verification. The research is based on a real bridge, and in accordance with the similarity principle, three reduced-scale T-beams with varying UHPC thicknesses were fabricated and tested to examine their failure modes and shear behaviors. A finite element model was created to enhance understanding of how UHPC reinforces these structures, while also considering the effects of material strength and arrangement. In addition to the laboratory… More >

Guangqing Xiao¹, Xilong Chen¹, Lihai Xu¹, Feilong Kuang², Shaohua He^2,*

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1167-1181, 2025, DOI:10.32604/sdhm.2025.064450 - 05 September 2025

Abstract This study investigates the flexural performance of ultra-high performance concrete (UHPC) in reinforced concrete T-beams, focusing on the effects of interfacial treatments. Three concrete T-beam specimens were fabricated and tested: a control beam (RC-T), a UHPC-reinforced beam with a chiseled interface (UN-C-50F), and a UHPC-reinforced beam featuring both a chiseled interface and anchored steel rebars (UN-CS-50F). The test results indicated that both chiseling and the incorporation of anchored rebars effectively created a synergistic combination between the concrete T-beam and the UHPC reinforcement layer, with the UN-CS-50F exhibiting the highest flexural resistance. The cracking load and… More >

Baojun Qin^1,2, Hong Jiang^1,2,3, Wei Zhang⁴, Xiang Liu^4,*

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1203-1220, 2025, DOI:10.32604/sdhm.2025.063813 - 05 September 2025

Abstract The utilization of high-strength steel bars (HSSB) within concrete structures demonstrates significant advantages in material conservation and mechanical performance enhancement. Nevertheless, existing design codes exhibit limitations in addressing the distinct statistical characteristics of HSSB, particularly regarding strength design parameters. For instance, GB50010-2010 fails to specify design strength values for reinforcement exceeding 600 MPa, creating technical barriers for advancing HSSB implementation. This study systematically investigates the reliability of eccentric compression concrete columns reinforced with 600 MPa-grade HSSB through high-order moment method analysis. Material partial factors were calibrated against target reliability indices prescribed by GB50068-2018, incorporating critical More >