In the last years, the occurrence of natural hazards around the world has evinced the
necessity of having structural health monitoring schemes that can allow the continuous …

Traditional statistical pattern identification methods, such as artificial neural network and
support vector machine, have limited ability to identify minor damage of bridges. Deep …

Detection of multiple damage using modal curvature in noisy environments has become a
research focus of considerable challenge and great significance over the last few years …

Random fatigue is inherently multi-axial due to the complex stress state in real vibrating
structures. This paper investigates the role of Stress Modal Analysis (SMA) in multi-axial …

Damage to the surface construction of reinforced concrete (RC) will impact the security of the
facility's structure. Deep learning can effectively identify various types of damage, which is …

Strain modal parameters are more sensitive to the local structural damage than
displacement modal parameters. Therefore, it will be more effective to locate damage based …

A novel technique to identify bridge damage using genetic algorithms and simulated
annealing is proposed in this article. In the proposed method, the cross-sectional area of the …

Operation feature extraction of flood discharge structures under ambient excitation has
attracted increasing attention in recent years. However, the vibration signal of flood …

According to the results of a dynamic prototype test for the surface outlet radial gate on the
Jinping high arch dam during the flood discharging process, a novel cause of vibration …

Random-vibration fatigue evaluation can be of considerable importance in the design phase
of aerospace structures due to the severe dynamic loads in service. This paper presents the …