Inland navigation structures (INS) facilitate transportation of goods in rivers and canals.
Transportation of goods over waterways is more energy efficient than on roads and railways …

The advent of wireless sensors and internet of things connectivity combined with increased
open source cloud based digital sharing among the architecture, engineering, and …

Harbor caissons are regarded as one of the most critical infrastructures, and any disruption
in their operation would have dramatic economic consequences. The need for a health …

This paper aims at presenting a meshless Generalized Finite Difference Method (GFDM) for
solving the Helmholtz equation. In particular, in order to tackle the problem where a fluid …

Recently, the empirical wavelet transform technique has attracted much attention due to its
advantage of dealing with non-stationary and nonlinear signals. For empirical wavelet …

Abstract Information on natural frequencies and damping ratios is essential for structural
dynamic analysis. To develop predictive models of modal parameters applicable for modern …

The increasing installation of structural health monitoring systems has raised the need for
efficient and rapid data interpretation algorithms. Operational modal analysis is currently one …

Autonomous damage identification of submerged structure-foundation systems is
challenging due to the difficulty of acquiring damage-induced system responses for training …

This study presents a convolutional neural network (CNN) deep learning approach for
identifying damage in submerged structure-foundation systems using vibration data. Firstly …

The positioning and submerging stages in construction process of the large prefabricated
steel caisson foundations for sea-crossing bridges will be seriously threatened by complex …