In part II of the study, a case study is presented that covered a practical
application of the simulation-based procedure developed for such forecasting in the
first part of the paper.
In another article, Vaidogas (2006c) presented a Bayesian
approach to forecasting damage to buildings from accidental explosions on railways.
Vaidogas (2002) formulated a probabilistic framework for an assessment of risk to
structures resulting from accidental vapour cloud explosions (VCEs) based on the
classical Bayesian approach to risk assessment.
Attention is centred on the estimation
of the annual probabilities of potential damages to structural systems exposed to
dangers of VCEs.
The structure of the paper consists of introduction, methodology, case study,
discussion of results, and conclusion.
The introduction provides the motivation for the
study.
Support is also provided from the literature.
The methodology utilised in the
study is explained under the methodology section.
The section on results demonstrates
the details of the survey.
Emerging from the results is the section on discussion of
results.
This section explains the implication of the analysis. The paper closes with the
section on conclusion, which indicates the concluding remarks.