Xiwei Wang¹, Wanrun Li^1,2,3,*, Wenhai Zhao¹, Yining Wang¹, Yongfeng Du^1,2,3

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1241-1263, 2025, DOI:10.32604/sdhm.2025.063736 - 05 September 2025

Abstract To address the vibration issues of wind turbine towers, this paper proposes a bidirectional tuned bellow liquid column damper (BTBLCD). The configuration of the proposed BTBLCD is first described in detail, and its energy dissipation mechanism is derived through theoretical analysis. A refined dynamic model of the wind turbine tower equipped with the BTBLCD is then developed. The vibration energy dissipation performance of the BTBLCD in multiple directions is evaluated through two-way fluid-structure coupling numerical simulations. Finally, a 1/10 scaled model of the wind turbine tower is constructed, and the energy dissipation performance of the… More >

Lingfeng Wang¹, Dongbiao Li², Fei Xing^1,3,*, Qiang Wang⁴, Jianjun Shi⁵

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1183-1201, 2025, DOI:10.32604/sdhm.2025.063701 - 05 September 2025

Abstract With the intelligent upgrading of manufacturing equipment, achieving high-precision and efficient fault diagnosis is essential to enhance equipment stability and increase productivity. Online monitoring and fault diagnosis technology play a critical role in improving the stability of metal additive manufacturing equipment. However, the limited proportion of fault data during operation challenges the accuracy and efficiency of multi-classification models due to excessive redundant data. A multi-sensor and principal component analysis (PCA) and support vector machine (SVM) asymptotic classification (PCSV) for additive manufacturing fault diagnosis method is proposed, and it divides the fault diagnosis into two steps.… More >

Nurlan Zhangabay^1,*, Ulanbator Suleimenov¹, Marco Bonopera^2,*, Ulzhan Ibraimova¹, Shairbek Yeshimbetov³

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 773-787, 2025, DOI:10.32604/sdhm.2025.064980 - 30 June 2025

Abstract This research presents a numerical simulation methodology for optimizing circular composite overlays’ dimensions and pressure characteristics with orthotropic mechanical properties, specifically, for metal conduits with temperature-dependent elastoplastic behavior. The primary objective of the proposed method is to prevent crack propagation during pressure surges from operational to critical levels. This study examines the “Beineu-Bozoy-Shymkent” steel gas conduit, examining its performance across a temperature range of −40 to +50°C. This work builds on prior research on extended avalanche destruction in steel gas conduits and crack propagation prevention techniques. The analysis was conducted using a dynamic finite-element approach… More >

Trung-Hieu Tran^*

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 869-886, 2025, DOI:10.32604/sdhm.2025.064902 - 30 June 2025

Abstract The design principles for conventional reinforced concrete structures have gradually transitioned to seismic-resistant design since the 1970s. However, until recently, the implementation of strength capacity and ductility design has not been rigorously enforced in many developing countries that are prone to seismic risks. Numerous studies have evaluated the effectiveness of joint behavior based on both ductile and non-ductile designs under cyclic loading. Previous research has demonstrated that enhancing joint regions with Ultra-High Performance Steel Fiber Reinforced Concrete (UHPSFRC) significantly improves the seismic resistance of structural components. This paper presents a detailed analysis of the considerable… More >

Ahed Habib^1,*, Mohamed Maalej², Samir Dirar³, M. Talha Junaid², Salah Altoubat²

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 789-817, 2025, DOI:10.32604/sdhm.2025.064882 - 30 June 2025

Abstract Carbon nanotube-reinforced cement composites have gained significant attention due to their enhanced mechanical properties, particularly in compressive and flexural strength. Despite extensive research, the influence of various parameters on these properties remains inadequately understood, primarily due to the complex interactions within the composites. This study addresses this gap by employing machine learning techniques to conduct a sensitivity analysis on the compressive and flexural strength of carbon nanotube-reinforced cement composites. It systematically evaluates nine data-preprocessing techniques and benchmarks eleven machine-learning algorithms to reveal trade-offs between predictive accuracy and computational complexity, which has not previously been explored… More >

Tao Jin^1,*, Siqi Gu¹, Zhekun Shou¹, Hong Shi², Min Zhang²

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 903-918, 2025, DOI:10.32604/sdhm.2025.063887 - 30 June 2025

Abstract The traditional You Only Look Once (YOLO) series network models often fail to extract satisfactory features for road detection, due to the limited number of defect images in the dataset. Additionally, most open-source road crack datasets contain idealized cracks that are not suitable for detecting early-stage pavement cracks with fine widths and subtle features. To address these issues, this study collected a large number of original road surface images using road detection vehicles. A large-capacity crack dataset was then constructed, with various shapes of cracks categorized as either cracks or fractures. To improve the training… More >

Liqiong Chen¹, Jie Pang¹, Kai Zhang^1,*, Juemei Pang², Haonan Liu³, Quan Fang¹

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 937-952, 2025, DOI:10.32604/sdhm.2025.063177 - 30 June 2025

Abstract In order to reduce the ecological environmental pollution and economic losses caused by oil spill accidents from cross-river oil pipelines, this paper studies the structures of oil containment booms used for intercepting oil spills in rapid rivers and proposes a new type of double-layer hole oil containment boom. By establishing a solid mechanics model, the geometric deformation and stress-strain distribution patterns of the double-layer hole oil containment boom under rapid flow velocities were analyzed. Additionally, the impact of the skirt angle, hole size, and porosity on the mechanical properties of the new oil containment boom More >

Yao Lu, Xintong Huo, Guangzhen Qu, Yanjun Li, Lei Wang^*

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 919-935, 2025, DOI:10.32604/sdhm.2025.062537 - 30 June 2025

Abstract A response surface method was utilized for the finite element model updating of a cable-stayed bridge in this paper to establish a baseline finite element model (FEM) that accurately reflects the characteristics of the actual bridge structure. Firstly, an initial FEM was established by the large-scale finite element software ANSYS, and the modal analysis was carried out on the dynamic response measured by the actual bridge structural health monitoring system. The initial error was obtained by comparing the dynamic characteristics of the measured data with those of the initial finite element model. Then, the second-order… More >

Yuliang He¹, Weihong Lou¹, Da Hang², Youhua Su^3,*

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 887-902, 2025, DOI:10.32604/sdhm.2025.062070 - 30 June 2025

Abstract The computational accuracy and efficiency of modeling the stress spectrum derived from bridge monitoring data significantly influence the fatigue life assessment of steel bridges. Therefore, determining the optimal stress spectrum model is crucial for further fatigue reliability analysis. This study investigates the performance of the REBMIX algorithm in modeling both univariate (stress range) and multivariate (stress range and mean stress) distributions of the rain-flow matrix for a steel arch bridge, using Akaike’s Information Criterion (AIC) as a performance metric. Four types of finite mixture distributions—Normal, Lognormal, Weibull, and Gamma—are employed to model the stress range. More >

Changchao Qi¹, Lingdi Fu¹, Ming Wen¹, Hao Qian², Shuai Zhao^1,*

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 1073-1087, 2025, DOI:10.32604/sdhm.2025.061898 - 30 June 2025

Abstract The accuracy and reliability of non-destructive testing (NDT) approaches in detecting interior corrosion problems are critical, yet research in this field is limited. This work describes a novel way to monitor the structural integrity of steel gas pipelines that uses advanced numerical modeling techniques to anticipate fracture development and corrosion effects. The objective is to increase pipeline dependability and safety through more precise, real-time health evaluations. Compared to previous approaches, our solution provides higher accuracy in fault detection and quantification, making it ideal for pipeline integrity monitoring in real-world applications. To solve this issue, statistical… More >