no code implementations • 28 Dec 2022 • Furkan Luleci, F. Necati Catbas
The study herein introduces a novel framework named Structural State Translation (SST), which aims to estimate the response data of different civil structures based on the information obtained from a dissimilar structure.
no code implementations • 16 Feb 2022 • Furkan Luleci, F. Necati Catbas, Onur Avci
Particularly, Artificial Intelligence (AI) such as Machine Learning (ML) and Deep Learning (DL) methods for vibration-based damage diagnostics of civil structures has been utilized extensively due to the observed high performances in learning from data.
no code implementations • 7 Dec 2021 • Furkan Luleci, F. Necati Catbas, Onur Avci
The damage detection results show that the 1-D WDCGAN-GP can be successfully utilized to tackle data scarcity in vibration-based damage detection applications of civil structures.
no code implementations • 7 Dec 2021 • Furkan Luleci, F. Necati Catbas, Onur Avci
The presented work in this paper shows that for the cases of insufficient data in DL or ML-based damage diagnostics, 1-D WDCGAN-GP can successfully generate data for the model to be trained on.
no code implementations • 7 Dec 2021 • Furkan Luleci, F. Necati Catbas, Onur Avci
As Structural Health Monitoring (SHM) being implemented more over the years, the use of operational modal analysis of civil structures has become more significant for the assessment and evaluation of engineering structures.
2 code implementations • 9 Dec 2018 • Enes Karaaslan, Ulas Bagci, F. Necati Catbas
Conventional methods for visual assessment of civil infrastructures have certain limitations, such as subjectivity of the collected data, long inspection time, and high cost of labor.