  Many studies in economics deal with the non-reliability cost to assess
insurance fees or investment analyses, but none takes into consideration the
mechanical aspect of reliability analysis. Other studies in mechanics give some
tools and methods to carry out reliability analyses and fragility study. This
study developed a framework where economical and mechanical considerations for
infrastructure investment decision-making. The theoretical reasoning is here
developed to couple mechanical reliability analyses, which are composed of
fragility curves, and economical reliability analyses, which is based on
resilience cost functions. This coupling is carried out with some probabilistic
considerations, giving the concept of "probable cost of failure". The strength
of this framework is that it can be used to analyze all possible critical
components in a network with all possible natural hazards or malicious event or
other undesired events which it is possible to assess its probability of
occurrence. The results of the analysis are indicators of probable cost of
failure of an infrastructure, which represents the insurance fee. These
indicators can be computed for railway lines, for critical components, for
events. This tool enables decision-makers to prioritize safety investments and
to guide strategic choices. The next step of this study will be to develop
smart data analysis tools, because of this framework needs and produces a lot
of data, which must be smartly analyzed and presented.
