Fatih Yesevi OKUR
Ahmet Can ALTUNIŞIK
Abstract
Structural Health Monitoring is a system that aims to pre-detect damage or collapse that may occur when structural elements exceed their load carrying capacity and displacement limits under possible effects (excessive snowfall, earthquake, strong wind, etc.) by preserving the operational status of structures. This system, which aims to prevent loss of life and property in a possible situation with early intervention to the building, is widely used in many parts of the world, although it has just begun to be recognized in our country. Within the scope of the paper, studies were carried out to evaluate the current conditions of the buildings and to prepare the Structural Health Monitoring site, which allows to determine the possible damage/deterioration status by keeping them under observation 24/7. The Structural Health Monitoring system enables the collection, processing, storage, graphing of the raw signals obtained with the sensitive sensors placed in the structure and all data can be accessed 24/7. Since the raw data of the structures will require a lot of storage space, they are generally not stored after processing by the users. With the storage systems created on the website, the raw data of each structure will be stored, and interpretation will be provided by reprocessing with the new processing (interpretation) algorithms developed in the future. The storage of data belonging to various structures will also have the quality of a database that sets a precedent, as it will enable the creation of a building stock.
Keywords
Algorithm,
Baseline assesment,
Structural Health Monitoring.
Algorithm,
Baseline assesment,
