This paper presents sparse and low-rank methods for explicit modeling and harnessing the
data structure to address the inverse problems in structural dynamics, identification, and …

This paper presents a new paradigm of explicitly modeling and harnessing the data
structure to address the inverse problems in structural dynamics, identification, and data …

Identifying damage of structural systems is typically characterized as an inverse problem
which might be ill-conditioned due to aleatory and epistemic uncertainties induced by …

Randomly missing data of structural vibration responses time history often occurs in
structural dynamics and health monitoring. For example, structural vibration responses are …

Numerous vibration-based structural damage detection methods have been developed over
the past decades. The basic idea of these methods is that structural damage may induce …

As a useful class of techniques for structural health monitoring, vibration‐based structural
damage detection has been intensively studied in civil engineering community for decades …

Extracting damage-sensitive features from measured acceleration responses is still a big
challenge in structural damage detection (SDD). In order to obtain the sparse representation …

This paper addresses two problems in structural damage identification: locating damage
and assessing damage severity, which are incorporated into the classification framework …

When structural dynamic design for smart control and health monitoring is executed,
imposed excitations on structures are one of most important issues in structural engineering …

Identifying the damages from test data is central to assuring the structural safety. The static
model is the simplest model to describe the mechanical behavior of the structure where only …