Structural Control & Health Monitoring最新文献

{"title":"Unbiased Normalized Ensemble Methodology for Zero-Shot Structural Damage Detection Using Manifold Learning and Reconstruction Error From Variational Autoencoder","authors":"Mohammad Ali Heravi,&nbsp;Hosein Naderpour,&nbsp;Mohammad Hesam Soleimani-Babakamali","doi":"10.1155/stc/8921708","DOIUrl":"https://doi.org/10.1155/stc/8921708","url":null,"abstract":"<div>\u0000 <p>Zero-shot learning approaches have emerged as promising techniques for structural health monitoring (SHM) due to their ability to learn representations without labeled data. With the practical design of such models, the shift from traditional structure-dependent techniques to potentially large-scale implementations becomes feasible, effectively addressing the challenge of gathering labeled data. Autoencoders (AEs), a class of deep neural networks, align well with zero-shot SHM settings due to their architecture, loss function, and optimization process. In AEs, the reconstruction error is expected to increase for novel data patterns (i.e., potential damage data), while the encoded manifold in their bottleneck layers enables the discrimination of complex patterns. However, for practical SHM applications, rigorous evaluation of (variational) AEs and the robustness of reconstruction loss- or manifold-based designs in handling real-world scenarios remains necessary. Accordingly, this article employs two SHM benchmarks to evaluate the effectiveness of manifold learning compared to the reconstruction errors of (variational) AEs in a zero-shot setting. The comparison encompasses metrics such as reconstruction fidelity, preservation of structural characteristics, and the ability to generalize to unseen structural conditions. Furthermore, an unbiased normalization-based ensemble methodology is proposed, combining both approaches with the goal of enhancing damage detection performance and delivering more reliable results in zero-shot learning contexts. The proposed ensemble strategy, integrating both reconstruction error and manifold representations, adds robustness to the damage detection process, a crucial feature in the uncertain domain of zero-shot structural damage detection. The findings suggest that neither reconstruction loss nor manifold data consistently outperform the other; structural differences may render one approach more effective than the other in specific contexts, and based on these observations, a zero-shot damage severity index is suggested and tested on the benchmark data. Nevertheless, the proposed ensemble method demonstrates superior performance over individual models in estimating damage severity in an unsupervised setting. These results highlight the efficacy of variational AEs for zero-shot SHM, offering insights into their strengths and limitations and aiding users in selecting appropriate zero-shot damage detection strategies in the absence of labeled data.</p>\u0000 </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2025 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/8921708","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144635621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of Bridge Structural Response Based on Nonstationary Transformer","authors":"Qing Li,&nbsp;Zhixiang He,&nbsp;Wenxue Zhang,&nbsp;Zhuo Qiu","doi":"10.1155/stc/7334196","DOIUrl":"https://doi.org/10.1155/stc/7334196","url":null,"abstract":"<div>\u0000 <p>Accurate prediction of bridge structural responses is crucial for infrastructure safety and maintenance. This study introduces the Nonstationary Transformer (NSFormer), a novel model designed to address the challenges posed by nonstationary data in bridge monitoring, characterized by trends, periodicity, and random fluctuations. Unlike traditional models such as LSTM and Transformer, NSFormer leverages a de-stationary attention mechanism that dynamically adapts to changing temporal patterns, enabling robust long-term prediction. Experimental results show that NSFormer consistently outperforms the traditional models across multiple datasets and prediction horizons. Specifically, at a 24-step prediction horizon, NSFormer reduces mean absolute error by at least 22.88% for Deflection dataset and 66.67% for Strain-All dataset. While predictive accuracy decreases with longer horizons, NSFormer maintains superior performance compared to alternatives. Furthermore, prediction accuracy remains stable across varying input horizons, demonstrating the model’s ability to effectively capture temporal dependencies despite data variability. These findings imply that NSFormer can significantly enhance the reliability of structural health monitoring systems by providing more accurate and stable prediction under complex, variable conditions, thereby supporting timely maintenance decisions and improving bridge safety management.</p>\u0000 </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2025 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/7334196","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144635569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridge Damping Ratio Identification and Variation Analysis Based on Two-Year Monitoring Data Considering Operational Environment Effects","authors":"Fengzong Gong,&nbsp;Ye Xia,&nbsp;Seyedmilad Komarizadehasl,&nbsp;Tiantao He","doi":"10.1155/stc/9191209","DOIUrl":"https://doi.org/10.1155/stc/9191209","url":null,"abstract":"<div>\u0000 <p>Damping ratio estimation for bridges under operational conditions typically employs operational modal analysis (OMA) methods. However, existing comparisons of these methods often overlook the nonstationary nature of traffic loads. This study focuses on two key aspects: (1) the performance evaluation of four OMA methods, autocorrelation function (ACF), stochastic subspace identification (SSI), random decrement technique (RDT), and decay response extraction (DRE), under nonstationary traffic loading, and (2) the quantification of the effects of temperature, traffic load, and wind load on structural damping ratios. An automatic modal parameter identification approach was developed to analyze two-year monitoring data from a single-tower cable-stayed bridge. The practical performance of each method was assessed statistically. Finally, a method was proposed to separate the effects of temperature and traffic loading at different time scales, and a damping ratio prediction model was established. The results indicate that both SSI and ACF methods demonstrate good performance, with the ACF method exhibiting smaller variance. SSI requires careful handling of false modes, RDT has the largest variance, and the DRE method suffers from uneven temporal distribution of identification results. Temperature and traffic loading have significant effects on the damping ratios of the bridge.</p>\u0000 </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2025 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/9191209","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144635577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive Model for Estimating the Weight of Existing RC Buildings Using Easily Accessible Structural Parameters","authors":"Jing Xu,&nbsp;Kawsu Jitteh,&nbsp;Yang Li,&nbsp;Jun Chen","doi":"10.1155/stc/6558932","DOIUrl":"https://doi.org/10.1155/stc/6558932","url":null,"abstract":"<div>\u0000 <p>The weight of existing buildings is a critical parameter in various structural engineering applications, including seismic assessment, uneven settlement evaluation, structural vibration control, building relocation, and demolition operations. While current practice typically estimates this value by multiplying floor area multiplied by an empirical unit weight coefficient. This approach faces limitations when the original design details are unavailable, making total floor area difficult to determine. To address this challenge, this study develops predictive models for estimating the weight of existing reinforce concrete (RC) buildings using easily accessible structural parameters, such as structural height, plan dimensions, number of stories, and fundamental period. A database comprising the weights and related design parameters of 732 RC buildings was developed through an extensive literature search. The maximum information coefficient and Kruskal–Wallis analysis of variance were used to identify factors that significantly influence building weight. Subsequently, regression formulas for building weight, incorporating structural height, plan dimensions of a standard floor, fundamental period, and structural type were established. These prediction formulas were applied to five building examples, and the results were compared with actual values. The comparison shows that the weight prediction formulas have good accuracy and can be used in state assessment of existing buildings and parametric modeling in disaster prevention analysis of urban buildings. Finally, the predictive models have been deployed on an online web page for the convenience of users.</p>\u0000 </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2025 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/6558932","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Point Cloud Virtual Trial Assembly Method for Preventive Quality Control of Prefabricated Bridge","authors":"Chang Xu,&nbsp;Wen Xiong,&nbsp;Yanjie Zhu,&nbsp;C. S. Cai","doi":"10.1155/stc/8861887","DOIUrl":"https://doi.org/10.1155/stc/8861887","url":null,"abstract":"<div>\u0000 <p>With the development of bridge construction equipment and technologies, prefabricated girders have become larger and heavier, posing an increasingly higher challenge to the trial assembly quality control. Hence, more attention has been devoted to the virtual trial assembly (VTA) due to the success of laser techniques in bridge construction. Based on the Shenzhen–Zhongshan link, a world-class sea-crossing project, we develop a laser point cloud-driven VTA method for prefabricated girder preventive quality control, addressing challenges arising from the large volume, complex interface configuration, and diverse attachment noises. Specifically, the interface matching feature of the target bridge girder is first extracted from the raw 3D laser point cloud model. Then, the pose adjustment procedure is conducted for a precise virtual assembly, followed by the proposed assembly criteria, namely, the degree of matching (DoM), for quantitative evaluation. Our proposed VTA solution has been successfully applied in the whole construction process of the Shenzhen–Zhongshan link; besides, a comprehensive numerical study has also been conducted, inspired by this project, to prove the accuracy of our proposed VTA method. Results demonstrate that the extracted interface dimensional features are precise with error controlled under 1%. Then, assembly results between two interfaces show that 95% points of the interfaces can remain under 0.005 m in terms of DoM values, demonstrating the performance of the proposed method.</p>\u0000 </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2025 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/8861887","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144558200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HHT-Based Probabilistic Model of Prestressed Bridges Inferred From Traffic Loads","authors":"Fabrizio Scozzese,&nbsp;Graziano Leoni,&nbsp;Andrea Dall’Asta","doi":"10.1155/stc/2585257","DOIUrl":"https://doi.org/10.1155/stc/2585257","url":null,"abstract":"<div>\u0000 <p>Prestressed bridges’ performance is strongly dependent on the health state of their prestressing cables, but unfortunately, these structural components are hidden and cannot be assessed through visual inspections. Moreover, conventional low-energy methods, like operational modal analysis, are inadequate due to their inability to detect the nonlinear effects of the prestressing force on the response under heavy travelling loads. In this paper, a methodology exploiting the Hilbert–Huang transform (HHT) is investigated in which the bridge’s nonlinear constitutive force–displacement relationship can be reconstructed by analysing the traffic-induced dynamic response, which has the features of a short-time nonstationary and potentially nonlinear signal. HHT, thanks to its adaptability to complex behaviours, is suitable for treating such type of signals and makes it possible to trace the response properties at each time instance, thus allowing to correlate instantaneous values of deformation with the simultaneous instantaneous (tangent) stiffness in a one-to-one relationship. Starting from a previous introductory study, and with the aim of making the proposed approach suitable for real structural health monitoring applications, a comprehensive investigation is performed considering a bridge with dynamical properties in the range of interest and realistic traffic scenarios adequately describing the time series of travelling loads and relevant internal actions. In particular, three main issues are considered: (i) development of a refined probabilistic response model (to be inferred from data collected under service loads) capable to overcome troubles induced by the nonhomogeneous distributions of data, generally consisting of frequent passages of light vehicles and rare passages of heavy vehicles; (ii) convergence analysis aimed at providing a relationship between the duration of the training period and the accuracy expected to infer the probabilistic model; and (iii) proposal and validation of a novel procedure to derive constitutive model of the bridge exploiting only deformation data recorded during vehicle passages and provide a tool for relating prestressing losses to variations in the dynamic response. The outcomes prove the potential of the proposed strategy paving the way for real-world experimental applications.</p>\u0000 </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2025 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/2585257","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seismic Performance Analysis of Replaceable Corrugated Steel Plate Composite Shear Walls Based on Interaction Relationships","authors":"Qirui Luo,&nbsp;Wei Wang,&nbsp;Shixing Zhao,&nbsp;Min Zhang,&nbsp;Shuheng Yang","doi":"10.1155/stc/3576799","DOIUrl":"https://doi.org/10.1155/stc/3576799","url":null,"abstract":"<div>\u0000 <p>Replaceable systems, including the main structure and components, are the primary means of building a resilient city. However, due to the complex interaction relationships, the energy-dissipation effect of such structural systems is not ideal. Accordingly, this study used a replaceable corrugated steel plate composite shear wall as an example, focusing on the seismic performance and energy-dissipation ratio analyses of each component. We attempted to find a suitable stiffness ratio index to determine the interaction relationship of the replaceable corrugated steel plate shear wall. An energy-dissipation evaluation method is proposed based on the stiffness ratio index, and the bearing-capacity formula of the shear wall was modified. The results show that the revised lateral-bearing-capacity formula based on the energy dissipation evaluation exhibited ideal accuracy and could provide a reference for practical engineering applications.</p>\u0000 </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2025 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/3576799","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144473177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multivision System for High-Resolution Strain Measurement of Continuously Welded Rail","authors":"Junhwa Lee,&nbsp;Changgil Lee,&nbsp;Inho Yeo,&nbsp;Seunghoo Jeong","doi":"10.1155/stc/2447466","DOIUrl":"https://doi.org/10.1155/stc/2447466","url":null,"abstract":"<div>\u0000 <p>A continuous welded rail (CWR) is a critical component of modern rail systems, providing increased stability, improved passenger comfort, and reduced maintenance compared with jointed rails. However, the unique mechanical properties of CWR, particularly in the immovable zone where friction restricts longitudinal deformation, require accurate and continuous monitoring to prevent rail buckling or fractures. Despite the availability of various strain-monitoring technologies, including fiber Bragg grating sensors, strain gauges, and vision-based systems, these approaches have significant limitations in full-scale CWR applications. Challenges such as insufficient resolution for detecting minute strains and sensor-adhesion durability reduce the effectiveness of current strain-monitoring solutions. To address these limitations, we propose a high-resolution, vision-based biaxial strain measurement system specifically designed for CWRs. This system utilizes three microscopic cameras strategically positioned to capture detailed displacement data, allowing for accurate computation of biaxial strain through advanced image processing techniques. The proposed system was validated through both laboratory-scale and full-scale experiments and exhibited a minimum detectable strain of 1.5 µε under controlled loading conditions.</p>\u0000 </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2025 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/2447466","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Large-Volume Dam Pier Concrete Hygro–Thermo–Mechanical Model for Crack Cause Analysis and Active Control","authors":"Wangdong Ma,&nbsp;Hongtao Li,&nbsp;Xinggen Chen,&nbsp;Junmu Wang,&nbsp;Simin Feng,&nbsp;Canming Xiao,&nbsp;Mengnan Shi","doi":"10.1155/stc/6228726","DOIUrl":"https://doi.org/10.1155/stc/6228726","url":null,"abstract":"<div>\u0000 <p>The dam piers undertake crucial tasks of structural support, surface overflow management, and dynamic gate operation under load. Any occurrence of cracks poses risks to their safe and efficient operation. Given the large-volume characteristics of dam pier concrete, controlling cracks is challenging. The existing analytical methods for dam pier concrete still have certain limitations in revealing the causes of cracks under complex environmental conditions. In particular, when accounting for the coupled effects of early-age temperature, humidity, and stress fields, further refinement of analytical models and methods is essential to develop more precise active crack control strategies. This study applied a hygro–thermo–mechanical coupling modeling method for early-age dam pier concrete. Comprehensive physical and mechanical experiments were conducted to calibrate the coupling model parameters to align with actual conditions. An experiment was conducted in a real dam pier to optimize the construction process to control cracks proactively, rather than applying remedial measures postcrack occurrence. The results show that the proposed method effectively analyzes the causes of cracks, and the proactive control measures targeting these causes are proven to be effective. This study provides a reference for proactive crack control of mass concrete structures.</p>\u0000 </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2025 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/6228726","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Innovative Semiactive Rolling Tuned Mass Damper for Structural Vibration Mitigation","authors":"Shayan Mazloom,&nbsp;Amir K. Ghorbani-Tanha","doi":"10.1155/stc/9627790","DOIUrl":"https://doi.org/10.1155/stc/9627790","url":null,"abstract":"<div>\u0000 <p>This study introduces a novel semiactive rolling tuned mass damper (SARTMD) developed to mitigate structural vibrations more efficiently than conventional tuned mass dampers (TMDs), with a primary objective of significantly reducing absorber mass without compromising performance. The proposed device combines translational and rotational motions, featuring two key innovations: (i) an umbrella-like mechanism that dynamically adjusts the moment of inertia by varying the radius of a secondary mass, allowing real-time frequency tuning, and (ii) a planetary gearbox that transmits the rotation of a primary rolling mass to the secondary mass, increasing its angular velocity. This configuration enables substantial mass ratio reduction while maintaining high control effectiveness. A numerical model of a single-degree-of-freedom (SDOF) structure subjected to harmonic excitation from rotating machinery is developed to evaluate the system’s performance. A short-time Fourier transform (STFT)-based control algorithm is implemented to continuously match the SARTMD’s natural frequency with the dominant excitation frequency. Parametric studies are conducted to identify optimal ranges for the system’s parameters. Simulation results show that, compared to an uncontrolled system, the SARTMD reduces the peak displacement, velocity, and acceleration by 76.4%, 77.4%, and 77.9%, respectively, and lowers RMS responses by over 91%. Compared to a traditional TMD, it achieves 66% greater peak displacement reduction while using only 30% of the mass. Robustness analysis confirms that the system maintains effective performance under up to 30% frequency detuning. These results confirm that the SARTMD offers a lightweight, adaptive, and highly efficient alternative for structural vibration mitigation in applications with space or weight constraints.</p>\u0000 </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2025 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/stc/9627790","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}