S Teng, G Chen, Z Liu, L Cheng, X Sun - Sensors, 2021 - mdpi.com
This paper presents a novel approach to substantially improve the detection accuracy of structural damage via a one-dimensional convolutional neural network (1-D CNN) and a …
Z Ma, Y Luo, CB Yun, HP Wan… - Structural Health …, 2023 - journals.sagepub.com
Structural anomaly detection based on the structural health monitoring (SHM) data has attracted significant attention owing to its important role in the early warning of structural …
J Huang, D Li, H Li, G Song… - Structural Control and …, 2018 - Wiley Online Library
Damage identification is an indispensable part for successive applications of structural health monitoring. In practical applications, however, time‐varying environmental and …
D Li, Y Wang - Structural Health Monitoring, 2021 - journals.sagepub.com
Hysteresis is of critical importance to structural safety under severe dynamic loading conditions. One of the widely used hysteretic models for civil structures is the Bouc-Wen …
G Zhang, C Wan, X Xiong, L Xie, M Noori, S Xue - Measurement, 2022 - Elsevier
To solve the optimization-based structural damage identification problem, a novel hybrid algorithm based on Jaya and differential evolution algorithm (HJDEA) is proposed to detect …
Z Liu, Y Hui, Q Yang, Y He - Journal of Building Engineering, 2023 - Elsevier
High-rise buildings, with similar natural frequencies of sway modes in two orthogonal directions, can have coupled vibrations when exposed to strong wind exhibiting complex …
Abstract 3D-core sandwich composites are novel lightweight construction materials being used heavily in defense, aerospace, marine, and automobile industries. In spite of the many …
N Aswal, S Sen, L Mevel - Mechanical Systems and Signal Processing, 2022 - Elsevier
Bayesian filtering based approaches for diagnosis of structural damage have been widely employed in structural health monitoring (SHM) research. The approach however may lead …
Abstract Structural Health Monitoring (SHM) enables assessing in-service structures' performance by localizing structural anomaly instances immediately after their occurrence …