Integrated methodology of structural health monitoring for civil structures

Abstract

The majority of the constructions are facing the damages due to design and environmental pollution aspects. The improvement of monitoring strategies can allow the safety as well as cost benefits. In civil engineering, the applicable discipline regarding damage recognition is usually called Structural Health Monitoring (SHM). The main focus of Structural Health Monitoring is to get, the life of a construction and is to diagnosis the materials used, the different parts in a structure, and the detection of these parts present in the construction. This activity is analogously new when compared to other engineering fields, innovative methods have been set and dissertations have to be note. The SHM can be divided into Model-Based SHM and Data-Based SHM. The first is majorly based on the physical parameters of the undamaged conditioned structure; when sub-sequent data has accumulated and they have been checked. Any discrepancies can be used during the diagnosis to get the structure more reliable. Likewise, the Data-Based SHM use different methodologies from damage recognition and machine learning communities. The processed data from the structure may not reference to the physical-based model. Both SHM models have their own supporters and pros and cons are still in discussion. This paper deals the health monitoring of different structures which are located in Industrial area, Residential area, Coastal area and Seismic area by consider the Data-Based Evaluation SHM method.