@article{Mekhtiyev_Neshina_Kozhas_Aubakirova_Aimagambetova_Toleubayeva_Tleubayeva_2022, title={MONITORING REINFORCED CONCRETE BUILDING STRUCTURE TECHNICAL CONDITIONS BASED ON THE USE OF QUASI-DISTRIBUTED FIBER-OPTIC SENSORS}, volume={23}, url={https://geomatejournal.com/geomate/article/view/3392}, abstractNote={<p>Construction and safe operation of buildings and structures in complicated geological conditions, in the conditions of dense development, is a vital issue for large, densely populated cities. Systems of monitoring the technical condition of the supporting structures of buildings based on the use of fiber-optic sensors have been developed. Fiber-optic sensors operate on a new method of controlling the parameters of a light spot using a hardware-software complex. The proposed monitoring system is quasi-distributed and can determine the damaged and most stress-strained sections of the supporting reinforced concrete structures of buildings at the stage of their occurrence and take preventive measures to protect them. The monitoring system can perform the function of measuring pressure on the building structure and establish the damage zone and signal in case of a sharp change in parameters during the structure destruction. Using this system, it is possible to monitor the technical condition of building structures of the underground and aboveground parts of buildings and to monitor their integrity in real-time. A four-channel hardware-software complex has been developed that uses the physical principles of measuring pressure on a concrete beam, as well as changing the refractive index during micro bending of an optical fiber of the G.652 type, which can be expressed through changing the light spot incident on the surface of the photodetector. The dependence of additional losses in an optical fiber on the applied force at a light wavelength of 650 nm has been obtained.</p>}, number={97}, journal={GEOMATE Journal}, author={Mekhtiyev , Ali and Neshina , Yelena and Kozhas , Aigul and Aubakirova , Bakhytkul and Aimagambetova , Raushan and Toleubayeva, Shamshygaiyn and Tleubayeva, Akmaral}, year={2022}, month={Sep.}, pages={154–162} }