Electronic appendix to Automated Classification of Near-Fault Acceleration Pulses Using Wavelet Packets

Dataset

Description

GENESIS tackles the global challenge of modelling interacting natural-engineering-social systems subjected to cascading earthquake-triggered hazards. Holistic scenario analysis will facilitate the understanding of possible future scenarios that may unfold from different hazards as well as different risk drivers (e.g., population growth, urbanisation, land use, design standards, and human behaviour). For this purpose, a wide range of new and state-of-the-art hazard and risk models will be integrated into a comprehensive methodology by taking into account uncertainty associated with predictions of hazards and risks. It aims at enhancing community resilience against catastrophic earthquake disasters by promoting dynamic and informed decision processes.
Date made available31 Jan 2019
PublisherUniversity of Bristol

Research Output

  • 1 Article (Academic Journal)

Automated classification of near‐fault acceleration pulses using wavelet packets

Chang, Z., De Luca, F. & Goda, K., 1 Jul 2019, In : Computer-Aided Civil and Infrastructure Engineering. 34, 7, p. 569-585 17 p.

Research output: Contribution to journalArticle (Academic Journal)

4 Citations (Scopus)

Cite this

Luca, F. D. (Creator) (31 Jan 2019). Electronic appendix to Automated Classification of Near-Fault Acceleration Pulses Using Wavelet Packets. University of Bristol. 10.5523/bris.1wc9d21lbd5fr2mvhng72zpyj3