Correlation analysis of ground motion intensity measures for seismic damage assessment: insights from near and far field records
| dc.contributor.author | Sharma M.; Singh S.; Prasad P.; Anand V.; Islam N. | |
| dc.date.accessioned | 2025-05-23T10:56:36Z | |
| dc.description.abstract | This study examines the relationship between various earthquake ground motion parameters, offering valuable insights into structural behaviour. The analysis utilizes the horizontal components of motion from 71 pairs of far-field and 98 pairs of near-field ground motion records sourced from the PEER NGA West-2 Database. Factors such as event magnitude, source-to-site distance, and geological conditions at recording sites are carefully taken into account. Seism Signal software is employed to determine the ground motion parameters. A particular focus is placed on investigating the correlation between different ground motion parameters, especially the ratio of peak ground acceleration (PGA) to peak ground velocity (PGV), which is a critical parameter for classifying ground motion suites in nonlinear time history analyses of structures. Using Pearson correlation, the study highlights that mean time exhibits the strongest correlation with the PGA/PGV ratio for far-source earthquakes. Additionally, it identifies a more pronounced correlation between the PGA/PGV ratio and specific ground motion parameters in near-source earthquakes compared to far-source events. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025. | |
| dc.identifier.doi | https://doi.org/10.1007/s42107-025-01289-9 | |
| dc.identifier.uri | http://172.23.0.11:4000/handle/123456789/4096 | |
| dc.relation.ispartofseries | Asian Journal of Civil Engineering | |
| dc.title | Correlation analysis of ground motion intensity measures for seismic damage assessment: insights from near and far field records |