Bollettino di Geofisica Teorica e Applicata
OGS Website BGTA homepage
About the Journal
Contacts
To Authors
On-line Submission
Subscriptions
Forthcoming
On-line First
The Historical First Issue
Issues

2018 Vol. 59
1 / 2 / 3 / Suppl. 1

2017 Vol. 58
1 / 2 / 3 / 4

2016 Vol. 57
1 / 2 / 3 / 4 / Suppl. 1

2015 Vol. 56
1 / 2 / 3 / 4

2014 Vol. 55
1 / 2 / 3 / 4

2013 Vol. 54
1 / 2 / 3 / 4 / Suppl. 2 / Suppl.1

2012 Vol. 53
1 / 2 / 3 / 4

2011 Vol. 52
1 / 2 / 3 / 4 / Suppl. 1

2010 Vol. 51
1 / 2-3 / 4 / Suppl. 1

2009 Vol. 50
1 / 2 / 3 / 4

2008 Vol. 49
1 / 2 / 3-4 / Suppl. 2

2007 Vol. 48
1 / 2 / 3 / 4

2006 Vol. 47
1-2 / 3 / 4

2005 Vol. 46
1 / 2-3 / 4

2004 Vol. 45
1-2 / 3 / 4 / Suppl. 1 / Suppl. 2

2003 Vol. 44
1 / 2 / 3-4

2002 Vol. 43
1-2 / 3-4

2001 Vol. 42
1-2 / 3-4

2000 Vol. 41
1 / 2 / 3-4

1999 Vol. 40
1 / 2 / 3-4

1998 Vol. 39
1 / 2 / 3 / 4

1997 Vol. 38
1-2 / 3-4

1995 Vol. 37
145 / 146 / 147 / 148 / Suppl. 1

1994 Vol. 36
141-144 / Suppl. 1

1993 Vol. 35
137-138 / 139 / 140

1992 Vol. 34
133 / 134-135 / 136

1991 Vol. 33
129 / 130-131 / 132

 
 

Vol. 58, n.4, December 2017
pp. 377-394

Performance-based design of FRP retrofitting of existing RC frames by means of multi-objective optimisation

C. Chisari and C. Bedon

Received: March 17, 2017; accepted: June 12, 2017

Abstract

Safeguard of built heritage often involves seismic retrofitting of reinforced concrete (RC) frame structures. When strength and ductility of columns must be enhanced, an effective technique is given by the use of Fibre-Reinforced Polymer (FRP) in forms of wraps glued to the columns, which are able to improve performance thanks to confinement action. In this paper, an optimisation-based procedure for the design of FRP retrofitting of existing RC frames is described. The design aims at finding the most competitive solution in terms of cost and performance, while satisfying the damage levels imposed by Performance-Based Design for serviceability and ultimate seismic hazard levels. The resulting multi-objective optimisation problem, in which the design variables are represented by the thickness of FRP wraps, is then solved by means of Genetic Algorithms. The application to a realistic case study shows how the analysis of the resulting Pareto Front, i.e., the set of non-dominated solutions, clearly describes the threshold between cost and performance. Furthermore, interesting considerations about the sensitivity of the best solutions to the design variables can be made, improving the assessment of the optimisation results.

Download PDF complete



back to table of contents