The identification of structural damage is an important objective of health monitoring for civil
infrastructures. Frequently, damage to a structure may be reflected by a change of some …

Structural health monitoring (SHM) algorithms based on adaptive least mean squares (LMS)
filtering theory can directly identify time-varying changes in structural stiffness in real-time in …

System identification and damage detection based on vibration data have received
considerable attention recently because of their importance to structural health monitoring …

The detection of structural damages real-time on-line, based on vibration data measured
from sensors, is an important but challenging research topic, and it has received …

An early detection of structural damage is an important goal of any structural health
monitoring system. In particular, the ability to detect damages on-line, based on vibration …

With the explosive growth of available data collected from various sensors and increasingly
powerful computing resources, recent advanced in machine learning (ML) and other data …

Structural health monitoring programs play an essential role in the field of civil engineering,
especially for assessing safety conditions involving large structures such as viaducts …

Most of the currently available vibration‐based damage detection approaches identify
structural damage in the form of decrease in structural stiffness based on extracted …

Identifying the local nonlinear hysteretic behaviors in structures arises as an important issue
in structural health monitoring. This paper develops a new hysteresis identification …

There are ever-increasing interests to determine effectively structural diagnosis and
conditional assessment for structural health monitoring (SHM). Although research has been …