Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Shear walls optimization in a reinforced concrete framed building for seismic risk reduction

Cerè, Giulia, Rezgui, Yacine ORCID:, Zhao, Wanqing and Petri, Ioan ORCID: 2022. Shear walls optimization in a reinforced concrete framed building for seismic risk reduction. Journal of Building Engineering 54 , 104620. 10.1016/j.jobe.2022.104620

[thumbnail of 1-s2.0-S2352710222006337-main.pdf] PDF - Published Version
Available under License Creative Commons Attribution.

Download (10MB)


Seismic hazards represent a permanent threat to buildings. The paper argues that risk-oriented approaches provide an interesting solution to account for the long-term resilience of buildings, both for the design of new structures and the rehabilitation of existing ones. The proposed research draws upon the standard definition of risk as a function of vulnerability, hazard and exposure to develop an optimization-based methodology for risk appraisal of buildings in seismic conditions. The proposed methodology allows to identify the optimum layout and thickness of shear walls in a reinforced concrete frame, based on a target risk performance. This is achieved through the coupling of an evolutionary computing environment with an object-oriented structural analysis tool, involving its native Application Programming Interface (API). The latter allows to automate the search for the optimum shear wall configuration solution. The research is validated on the Beichuan Hotel building in Old Beichuan (China), heavily affected by the 2008 Wenchuan Earthquake. The paper evidences that the adoption of the proposed methodology leads to a risk reduction of about 80% compared to the as-built scenario, with additional benefits from both a financial and building functionality perspective.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 2352-7102
Date of First Compliant Deposit: 30 May 2022
Date of Acceptance: 4 May 2022
Last Modified: 10 Nov 2022 11:17

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics