EXTREME LOADING ANALYSIS OF
PETROCHEMICAL PLANTS AND DESIGN OF
METAMATERIAL-BASED SHIELDS FOR ENHANCED RESILIENCE
http://r.unitn.it/en/dicam/xp-resilience
Joint seminar
Department of Mathematics – Department of Civil, environmental and mechanical engineering
Tuesday 11th April at 16:00
Seminar Room “-1” – Department of Mathematics
Prof. Oreste S. Bursi
University of Trento
PROBABILISTIC SEISMIC RISK AND RESILIENCE
ASSESSMENT FOR PROCESS PLANTS AND
INFRASTRUCTURES
Abstract The tremendous impact of natural hazards, such as earthquakes, tsunamis, flooding, etc, which
triggered technological accidents, referred to as natural-technological (NaTech) events, was demonstrated
by the recent Tohoku earthquake and the following Fukushima disaster in 2011. Although the number of
lives lost each year to natural disaster is reduced, the recovery costs of major disasters continue to rise. In
fact, each year, NaTech disasters cause an estimated $ 52 billion in damages in the United States in terms
of life lost, disruption of commerce, properties destroyed, and the costs of mobilizing emergency response
personnel and equipment. In Italy, the recent earthquakes caused damages for about € 23.5 billion. Hence,
the objective of this seminar is to present quantitative risk assessment methodologies for seismic loss
prevention of special risk LNG and petrochemical plants. Thus, the analysis of a single failure or a loss of
containment in a single equipment are considered as well as the case where NaTech events often represent
a common cause leading to the simultaneous occurrence of several interacting failures, which can often
interfere with rescue operations. The proposed probabilistic-based methodology can properly take into
account, ground motions of increasing spectral acceleration, damage and losses by means of finite element
models, nonlinear analyses and conditional probability distributions. Moreover, examples of losses are
provided for infrastructures present in the nearby built environment. Finally, resilience concepts are
introduced to take into account recovery and functionality both for plants and nearby community performance
during and after a hazard event.
Lecturers
Oreste S. Bursi, PhD - Prof. of Structural Dynamics and Control, DICAM, UNITN
e-mail: [email protected] - URL: http://me.unitn.it/oreste-bursi
Rocco di Filippo – PhD student, DICAM, UNITN
e-mail: [email protected]
Scientific Coordinator
Stefano Bonaccorsi, Dipartimento di Matematica, UNITN
STAFF DIPARTIMENTO DI MATEMATICA
Università degli Studi Trento
Via Sommarive, 14- 38123 Povo (TN)
Tel +39 0461/281508-1625-1701 Fax+ 39 0461/281624
[email protected]