STUDY OF THE SENSITIVITY OF MULTI-POINT FIBER-OPTIC SENSORS IN THE MONITORING OF BUILDING STRUCTURES

2026

Closed access Metadata (CSL-JSON)
DOI 10.51775/2790-0886_2026_73_2_211
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Fiber Bragg grating (FBG)–based fiber optic sensors are widely used in structural health monitoring because of their high sensitivity, electromagnetic immunity, and long-term operational stability. However, their performance is significantly affected by environmental factors, including temperature, humidity, installation quality, and material degradation, which reduce measurement accuracy under real operating conditions. This study aims to investigate the sensitivity of multi-point FBG sensors and to develop an integrated analytical framework for evaluating the combined influence of these factors on deformation monitoring in building structures. The proposed methodology combines analytical modeling based on Bragg wavelength theory, temperature compensation, strain-transfer analysis, and reliability assessment using Kaplan–Meier survival curves. Unlike previous studies that primarily examine these factors separately, the proposed approach integrates them into a unified sensitivity evaluation model. Numerical simulations and comparative analysis demonstrate that accounting for combined environmental effects improves the reliability and accuracy of deformation measurements while enabling optimization of sensor placement and long-term monitoring strategies. The obtained results provide practical recommendations for the design and implementation of fiber-optic structural health monitoring systems and contribute to improving the reliability of civil infrastructure monitoring under realistic service conditions.