In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

The pile bearing capacity is considered as the most essential factor in designing deep
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …

Unsupervised learning methods are effective and suitable tools for damage detection. The
main reason for the popularity of these methods in structural health monitoring originates …

A reliable and accurate prediction of the tunnel boring machine (TBM) performance can
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …

This paper proposes an Accelerated Differential Evolution (ADE) algorithm for damage
localization and quantification in plate-like structures. In this study, the inverse damage …

The paper presents an efficient multi-stage optimization approach for damage detection in
plate-like structures. In this approach, the damage identification process is achieved by …

The paper presents an effective two-stage approach based on modal strain energy change
and Jaya algorithm for damage assessment in plate-like structures. In the first stage, a newly …

The key parameters for damage detection and localization are eigenfrequencies, related
equivalent viscous damping factors and mode shapes. The classical approach is based on …

To identify the location and severity of structural damages precisely, a two-stage damage
detection method is proposed here. In the first stage, the most probable elements that maybe …

In this paper, a new damage indicator based on modal data, such as mode shapes and its
derivatives, is presented for damage identification in plate-like structures. The proposed …