Selection of earthquake ground motions for multiple objectives using genetic algorithms
- Submitting institution
-
City, University of London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 463
- Type
- D - Journal article
- DOI
-
10.1016/j.engstruct.2019.02.067
- Title of journal
- Engineering Structures
- Article number
- -
- First page
- 414
- Volume
- 187
- Issue
- -
- ISSN
- 0141-0296
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper presents a novel, versatile framework for the multi-objective optimum selection of natural earthquake ground motion records for the purposes of seismic assessment and design of structural systems. The framework, for first time, treats explicitly as selection objectives not only optimal matching with a target response spectrum but also best compliance with additional seismological and site parameters reflecting extra characteristics of seismic hazard. Thereby, the selection procedure represents more realistically not only peak seismic demands but also variability of these demands and cumulative seismic effects. Applications show that the proposed framework can offer excellent compliance with multiple selection objectives.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -