A force reconstruction method for uncertain structures instead of direct measurement is
proposed in this paper. Considering the multi-source uncertainties as unknown-but …

Vegetation pattern dynamics is a pivotal research domain in ecology, which can reveal the
impact of the non-uniform distribution of vegetation on ecosystem structure and function …

In recent years, the enormous demand for computing resources resulting from massive data
and complex network models has become the limitation of deep learning. In the large-scale …

Instead of traditional Tikhonov regularization, sparse regularization methods like ℓ 1
regularization have been a popular choice for impact force identification because it can …

Dynamic strain measurement is critical in blade vibration monitoring for evaluating the
residual life and health condition of rotating blades. Blade tip time (BTT) is recognized as a …

Moving force identification (MFI) from dynamic responses of bridges is a typical inverse
problem in the field of structural dynamics. To deal with the difficulties in identifying multi …

Although extensively studied, impact force identification is still a challenging task. When the
location of the impact force is unknown, an under-determined problem is usually required to …

Random load identification (including load localization and reconstruction) plays a great
significance in structural optimization design and safety evaluation. However, conventional …

Moving force identification (MFI) is an approach aimed at acquiring the time history of
unknown moving loads acting on a bridge, which is actually an inverse problem. The …

An effective computational method, which employs fewer strain sensors to reconstruct the
Timoshenko beam under complex loads, is proposed. This method takes inverse Finite …