Damage diagnosis has been a challenging inverse problem in structural health monitoring.
The main difficulty is characterizing the unknown relation between the measurements and …

Detection of the deficiencies affecting the performance of the structures has been studied
over the past few decades. However, with the long-term data collection from dense sensor …

In SHM, fixed sensor networks with long-term monitoring capabilities, dense sensor arrays,
or high sampling rates are perceived to produce BIGDATA. As the temporal and spatial …

This study presents a numerical approach for damage localization and quantification in
gusset plates using data provided by a battery‐free sensing technology. A series of 3D finite …

Large quantities of data which contain detailed condition information over an extended
period of time should be utilized to prioritize infrastructure repairs. As the temporal and …

Vision-based modal identification of structures is a rapidly-growing field of study in system
identification (SID) and structural health monitoring. However, previously proposed methods …

Localization is one of fundamental technologies in Wireless Sensor Network (WSN). The
spatial sparsity of the targets can be employed to address the problem of the multiple target …

This dissertation focuses on the applications of high-dimensional data analytics in the
context of structural health monitoring and non-destructive evaluation. In high-dimensional …

This research proposes novel damage progression quantification and data robustness
evaluation approaches, for structural health monitoring (SHM), using a new class of self …