Forthcoming Articles

International Journal of Structural Engineering

International Journal of Structural Engineering (IJStructE)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Structural Engineering (2 papers in press)

Regular Issues

  • Structural condition assessment and prediction using machine learning-based EKF   Order a copy of this article
    by Santosh Bisoyi, Amit Kumar Rathi 
    Abstract: This paper aims to improve the machine learning (ML)-based extended-Kalman filter (EKF) technique for condition assessment of structures. EKF is widely used for estimating structural properties, aiding in the detection and assessment of damage. However, it lacks accuracy in the prediction of aging and remaining service life. This study improves the prediction of structural conditions by incorporating ML algorithms, thus facilitating timely predictive maintenance and disaster prevention strategies. The proposed method employs EKF for the parameter estimation from vibration responses to train ML models for accurate prediction. The framework is validated based on multi-storey framed structures subjected to seismic excitation through numerical simulations and experimental tests. The results illustrate the accuracy and robustness of the proposed method up to 20% Gaussian and non-Gaussian noises. The ML model such as extreme gradient boosting achieves R2 score of 0.99 and RMSE of approx. 0.01 in predicting the stiffness parameters. The proposed approach demonstrates potential in real-time condition monitoring and predictive maintenance.
    Keywords: extended-Kalman filter; EKF; machine learning; prediction modelling; structural condition assessment.
    DOI: 10.1504/IJSTRUCTE.2025.10073206
     
  • Deformation approach for the calculation of bent wooden elements   Order a copy of this article
    by Dzmitry N. Lazovski, Arthur I. Hil, Dmitry O. Glukhov 
    Abstract: The article presents the results of calculating the parameters of the stress-strain state of bent wooden elements at any stage of its work under the action of short-term static loading. The modelling took into account the complete diagrams of wood deformation under compression and tension, the dependences of their approximation were proposed, and verification was performed based on our own experimental data and data from other authors. The peculiarity of the destruction of wooden elements under the action of a bending moment has been experimentally established, which begins with the crumpling of wood fibres in a compressed zone and the formation of a plastic hinge followed by a sequential rupture of longitudinal fibres in a stretched zone along the height of the cross section, which corresponded to the simulation results. A criterion is proposed for calculating the bending resistance of wooden elements at the limiting stage in terms of strength in the form of the maximum force perceived by them, at which the conditions of equilibrium of forces in the cross section are fulfilled. The proposed criterion, in contrast to limiting the maximum deformations of wood during compression and stretching, allows us to more fully take into account the redistribution of forces between the longitudinal fibres in the cross-section of wood in the plastic stage of work before destruction.
    Keywords: wooden elements; wood deformation diagram; flat section hypothesis; deformation calculation approach.
    DOI: 10.1504/IJSTRUCTE.2025.10073508
     

 

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