Our approach to assessing the static condition of columns involves a blend of visual inspection and numerous non-destructive diagnostic methods. The data gathered from each method provide critical inputs for the overall condition assessment. These inputs can vary, with some being precise numeric values linked to physical characteristics and others providing more qualitative information with inherent uncertainty.
Our goal is to unify the management of all results, ensuring a straightforward and relatively objective means of defining inputs for the assessment. We strive to minimize subjective judgments about the column’s condition by developing a methodology that can objectively quantify each column’s condition. This leads to the creation of a new software using fuzzy mathematics, designed to define a quantitative condition indicator that can guide decision-making.
This software takes into account various inputs such as design characteristics, material types, test history, and measured or estimated parameters describing a column’s condition at the time of testing.