Journal: Structural Control and Health Monitoring

Abbreviation

Struct Control Health Monit.

Publisher

Wiley

Journal Volumes

ISSN

1545-2255
1545-2263

Description

Filters

2013 - 201972020 - 20225
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Publications 1 - 10 of 12
  • On the observability and identifiability of nonlinear structural and mechanical systems
    Item type: Journal Article
    Chatzis, Manolis N.; Chatzi, Eleni; Smyth, Andrew W. (2015)
    Structural Control and Health Monitoring
  • Recent progress and future trends on damage identification methods for bridge structures
    Item type: Review Article
    An, Yonghui; Chatzi, Eleni; Sim, Sung-Han; et al. (2019)
    Structural Control and Health Monitoring
  • A computational framework for fast‐time hybrid simulation based on partitioned time integration and state‐space modeling
    Item type: Journal Article
    Abbiati, Giuseppe; Lanese, Igor; Cazzador, Enrico; et al. (2019)
    Structural Control and Health Monitoring
  • Particle filter scheme with mutation for the estimation of time-invariant parameters in structural health monitoring applications
    Item type: Journal Article
    Chatzi, Eleni; Smyth, Andrew W. (2013)
    Structural Control and Health Monitoring
  • A robust bridge weigh-in-motion algorithm based on regularized total least squares with axle constraints
    Item type: Journal Article
    Jian, Xudong; Lai, Zhilu; Xia, Ye; et al. (2022)
    Structural Control and Health Monitoring
    The identification of traffic loads, including the axle weight (AW) and the gross vehicle weight (GVW) of vehicles, plays an important role in bridge design refinement, safety evaluation, and maintenance strategies. Bridge weigh in motion (BWIM) is a promising technique to weigh vehicles passing through bridges. Though the state-of-the-art BWIM can accurately identify the GVW, unacceptable weighing errors are reported when identifying the AW of vehicles, particularly for those with closely spaced axles. To address the axle weighing problem, this paper aims to improve the performance of BWIM in weighing individual axle loads apart from the gross vehicle weight. The work first theoretically analyzes the possible sources of errors of existing BWIM algorithms, which are observational errors residing in the BWIM equation, no constraint imposed on individual axle loads, and ill-conditioned nature. Accordingly, three measures are taken to establish a novel robust BWIM algorithm, which is based on regularized total least squares, as well as imposing constraints on the relationship between axles. To validate the proposed algorithm, a series of weighing experiments are carried out on a high-fidelity vehicle-bridge scale model. The corresponding results indicate that the proposed BWIM algorithm significantly outperforms other existing BWIM algorithms in terms of the accuracy and robustness of identifying individual axle weight, while retaining satisfactory identification of the gross vehicle weight as well.
  • Robust optimal sensor configuration using the value of information
    Item type: Journal Article
    Cantero‐Chinchilla, Sergio; Papadimitriou, Costas; Chiachío, Juan; et al. (2022)
    Structural Control and Health Monitoring
    Sensing is the cornerstone of any functional structural health monitoring technology, with sensor number and placement being a key aspect for reliable monitoring. We introduce for the first time a robust methodology for optimal sensor configuration based on the value of information that accounts for (1) uncertainties from updatable and nonupdatable parameters, (2) variability of the objective function with respect to nonupdatable parameters, and (3) the spatial correlation between sensors. The optimal sensor configuration is obtained by maximizing the expected value of information, which leads to a cost-benefit analysis that entails model parameter uncertainties. The proposed methodology is demonstrated on an application of structural health monitoring in plate-like structures using ultrasonic guided waves. We show that accounting for uncertainties is critical for an accurate diagnosis of damage. Furthermore, we provide critical assessment of the role of both the effect of modeling and measurement uncertainties and the optimization algorithm on the resulting sensor placement. The results on the health monitoring of an aluminum plate indicate the effectiveness and efficiency of the proposed methodology in discovering optimal sensor configurations.
  • Vibration‐based monitoring of a small‐scale wind turbine blade under varying climate and operational conditions. Part II: A numerical benchmark
    Item type: Journal Article
    Tatsis, Konstantinos; Ou, Yaowen; Dertimanis, Vasilis; et al. (2021)
    Structural Control and Health Monitoring
    This paper constitutes the numerical companion of the experimental work on vibration-based monitoring of a small-scale wind turbine (WT) blade. In this second part, a numerical benchmark is established for condition assessmentof a Windspot 3.5-kW WT blade. The aim is to supplement the companion experimental work with a physical model exposed to diverse operational conditions, loading scenarios, and damage patterns that are not easily explorable and controllable in the laboratory. To this end, a finite element (FE) model of the considered blade is developed and subjected to a number of artificial damage scenarios, which are dynamically tested under both environmental and operational variability. The paper offers a detailed description of the numerical benchmark and the underlying assumptions, as well as the spectrum of operational conditions, the measured quantities, and the wind load model. Finally, we provide an overview and demonstration of the stand-alone application for time history analysis and generation of synthetic vibration data, which is made available via an open-access code in Sonkyo-Benchmark repository
  • Vibration-based monitoring of a small-scale wind turbine blade under varying climate and operational conditions. Part II: A numerical benchmark (vol 28, e2734, 2021)
    Item type: Other Journal Item
    Tatsis, Konstantinos E.; Ou, Yaowen; Dertimanis, Vasilis K.; et al. (2021)
    Structural Control and Health Monitoring
  • Real-time experimental validation of a novel semi-active control scheme for vibration mitigation
    Item type: Journal Article
    Miah, Mohammad S.; Chatzi, Eleni; Dertimanis, Vasilis K.; et al. (2016)
    Structural Control and Health Monitoring
  • Amplitude and frequency independent cable damping of Sutong Bridge and Russky Bridge by magnetorheological dampers
    Item type: Journal Article
    Weber, Felix; Distl, Hans (2015)
    Structural Control and Health Monitoring
Publications 1 - 10 of 12