Structural damage detection using hybrid deep learning algorithm

  • Dang Viet Hung Faculty of Building and Industrial Construction, National University of Civil Engineering, 55 Giai Phong road, Hai Ba Trung district, Hanoi, Vietnam
  • Ha Manh Hung Faculty of Building and Industrial Construction, National University of Civil Engineering, 55 Giai Phong road, Hai Ba Trung district, Hanoi, Vietnam
  • Pham Hoang Anh Faculty of Building and Industrial Construction, National University of Civil Engineering, 55 Giai Phong road, Hai Ba Trung district, Hanoi, Vietnam
  • Nguyen Truong Thang Faculty of Building and Industrial Construction, National University of Civil Engineering, 55 Giai Phong road, Hai Ba Trung district, Hanoi, Vietnam

Abstract

Timely monitoring the large-scale civil structure is a tedious task demanding expert experience and significant economic resources. Towards a smart monitoring system, this study proposes a hybrid deep learning algorithm aiming for structural damage detection tasks, which not only reduces required resources, including computational complexity, data storage but also has the capability to deal with different damage levels. The technique combines the ability to capture local connectivity of Convolution Neural Network and the well-known performance in accounting for long-term dependencies of Long-Short Term Memory network, into a single end-to-end architecture using directly raw acceleration time-series without requiring any signal preprocessing step. The proposed approach is applied to a series of experimentally measured vibration data from a three-story frame and successful in providing accurate damage identification results. Furthermore, parametric studies are carried out to demonstrate the robustness of this hybrid deep learning method when facing data corrupted by random noises, which is unavoidable in reality.

Keywords:

structural damage detection; deep learning algorithm; vibration; sensor; signal processing.

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Published
17-04-2020
How to Cite
Hung, D. V., Hung, H. M., Anh, P. H., & Thang, N. T. (2020). Structural damage detection using hybrid deep learning algorithm. Journal of Science and Technology in Civil Engineering (STCE) - NUCE, 14(2), 53-64. https://doi.org/10.31814/stce.nuce2020-14(2)-05
Section
Research Papers