Early Damage Direction in a Structural Health Monitoring Environment

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Author(s): N. Ambika (St. Francis College, India)
Copyright: 2024
Pages: 14
Source title: Implementing Sustainable Development Goals in the Service Sector
Source Author(s)/Editor(s): Vipin Nadda (University of Sunderland, UK), Pankaj Kumar Tyagi (Chandigarh University, India), Rubina Moniz Vieira (St. Mary's University, London, UK)and Priyanka Tyagi (Chandigarh University, India)
DOI: 10.4018/979-8-3693-2065-5.ch015

Keywords: Business Science Reference / Environment & Agriculture / Operations and Service Management / Sustainable Development

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Abstract

Probabilistic FFS assessments are carried out by integrating damage detection data gathered from inspections and permanently installed monitoring systems. After a negative measurement, it determines the likelihood of a postulated severe defect being present. It is crucial to point out that this distribution of the size of a postulated fault differs from the distribution of the size of a defect. A negative measurement merely eliminates the possibility that defects of the specified size do not exist. As a result, rather than estimating the dimensions of a defect, the distribution gives an estimate of the possible sizes of defects in the component of interest. The work is suggested to make early detection and future prediction damages in the structures. The database considers the initial images of the structure. The present images are mapped to the initial images to estimate the damage that can be caused in the future. It increases the detection by 13.69%.

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Early Damage Direction in a Structural Health Monitoring Environment

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