OpenBDLM, an Open-Source Software for Structural Health Monitoring using Bayesian Dynamic Linear Models

Abstract

During the last decade, the rise of sensing technologies fostered the development of new data-driven Structural Health Monitoring (SHM) techniques. Among them, Bayesian Dynamic Linear Models (BDLMs) are capable of isolating the baseline responses of civil infrastructure from external effects, thus allowing to interpret the intrinsic behavior of civil structure and to detect anomalies. The generalization of BDLMs for SHM borrows tools from many fields, and there is currently no standalone software allowing BDLMs to be used routinely by practioners. This study intends to bridge this gap by introducing OpenBDLM, a Matlab open-source software specifically developed to use BDLMs for SHM. In this paper, synthetic dataset is examinated to illustrate the functionalities of the software, from data pre-processing to results visualization.