In this paper, a structural health monitoring (SHM) system is proposed to provide automatic
early warning for detecting damage and its location in composite pipelines at an early stage …

Deep learning-based approaches have garnered a great deal of interest among different
methods in structural health monitoring (SHM), whose primary objective is to assess …

During recent years, remarkable progress has been made in the development of new
materials. Advanced structured materials, including smart and nano materials, have opened …

Various techniques have been employed to detect damage in civil engineering structures.
Apart from the model-based approach, which demands the frequent updating of its …

Bridges suffer damage throughout their lives due to variations in the performance of the
materials, loads, and other uncontrollable factors. During the service period of the structure …

The main goal of this paper is improving bridges structures health detection results to solve
the problems of large errors of detection and poor efficiency of detection in the traditional …

Damage causes the dynamic structural responses of civil engineering structures to change
from linear to nonlinear. It can be challenging to break down signals and identify features …

In this work a novel artificial intelligence is trained with the structures images pickup by
unmanned aerial vehicles (UAVs) for crack monitoring for extraction of structures state maps …

In recent decades, the rapid development of highway construction in various countries
(especially highways) has greatly promoted the development of regional economies. After …

During recent years, remarkable progress has been made in the development of new
materials. Advanced structured materials, including smart and nano materials, have opened …