A stochastic ground motion model for the urban environment. (January 2020)
- Record Type:
- Journal Article
- Title:
- A stochastic ground motion model for the urban environment. (January 2020)
- Main Title:
- A stochastic ground motion model for the urban environment
- Authors:
- Cacciola, P.
Tombari, A. - Abstract:
- Abstract: Nowadays stochastic ground motion models used for the seismic analysis and design of structures take into account the soil deposit only, disregarding the presence of existing buildings nearby. However, it is well known that ground motion in urban environment is modified by the presence of buildings, mainly due to the radiation energy emitted from a vibrating structure in the soil that alters the seismic free field motion. This study is a first attempt to propose a stochastic ground motion analytical model able to take into account the influence of the urban environment. A simplified discrete model is developed so to consider the influence of the radiated wave field into the free field ground motion. Comparison in terms power spectral density functions and peak ground acceleration determined from the proposed ground motion model and those determined through conventional approaches are carried out. Numerical results clearly show the efficiency of the proposed model to capture this complex phenomenon in the stochastic seismic analysis of structures by improving the accuracy of the estimation of the peak response of above 30% . Limits of the proposed formulation are also discussed.
- Is Part Of:
- Probabilistic engineering mechanics. Volume 59(2020)
- Journal:
- Probabilistic engineering mechanics
- Issue:
- Volume 59(2020)
- Issue Display:
- Volume 59, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 59
- Issue:
- 2020
- Issue Sort Value:
- 2020-0059-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01
- Subjects:
- Stochastic ground motion model -- Seismic response -- Urban environment -- Seismic site–city interaction
Engineering -- Statistical methods -- Periodicals
Mechanics, Applied -- Statistical methods -- Periodicals
Probabilities -- Periodicals
Ingénierie -- Méthodes statistiques -- Périodiques
Mécanique appliquée -- Méthodes statistiques -- Périodiques
Probabilités -- Périodiques
620.100727 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02668920 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.probengmech.2020.103026 ↗
- Languages:
- English
- ISSNs:
- 0266-8920
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6617.209600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13377.xml