TY  - GEN 
AU  - Anastasia, Stefano
AU  - García Macías, Enrique
AU  - Ubertini, Filippo
AU  - Gattulli, Vincenzo
AU  - Ivorra Chorro, Salvador
PY  - 2023
UR  - https://hdl.handle.net/10481/94789
AB  - The damage identification of railway bridges poses a formidable challenge given the large
variability in the environmental and operational conditions that such structures are subjected to
along their lifespan. To address this challenge, this paper...
LA  - eng
PB  - MDPI
KW  - Autoregressive modeling
KW  - Damage identification
KW  - Moving loads
TI  - Damage Identification of Railway Bridges through Temporal Autoregressive Modeling
DO  - 10.3390/s23218830
ER  -