Mitigating Disasters In The 21st Century
Author(s)
S. M. Marjanishvili
Abstract
The term reliability, resilience, risk and redundancy are often used to convey
similar or the same concept in literature. Typically, none of these terms are
defined in a computationally rigorous manner. Each of these terms has a unique
mathematical meaning. However, resiliency and robustness have the special
distinction of being particularly powerful because they are completely threat
independent. Although it is possible to design structural systems to resist
virtually any threat, it is impossible to design these systems to resist all possible
threats. Even if all threats could be defined today, they cannot account for
unknown future threats that may occur during the life of the structure. As a result
robustness evaluation could be useful in prioritizing buildings and critical
infrastructure for the purposes of allocating mitigation dollars potentially
allowing for a way to optimize both sustainably and effectively. In this paper, the
basic concepts used in probabilistic assessment approaches are described and an
argument is made for using robustness and resiliency as the primary means for
evaluating, repairing and replacing our structural systems in the 21st century.
Keywords: risk, reliability, robustness, resiliency.
1 Introduction
Common engineering practice in multi-hazard design is to consider each natural
hazard independently. The underlying assumption is that it is highly unlikely that
one disaster will be closely followed by another sequentially. This approach
dominated large part of the 20th century. As a result, today we have a good
understanding of material constitutive modelling and efficient algorithms
enabling large computer programs to run analysis on powerful computers. The
engineering community has made large strides in designing structures to
withstand known hazards, leading to improved reliability and safety of
infrastructure. Improved reliability and safety in turn has supported population
Keywords
risk, reliability, robustness, resiliency.
Related Book
Other papers in this volume
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