English

OpenIPDM: A Probabilistic Framework for Estimating the Deterioration and Effect of Interventions on Bridges

Systems and Control 2022-01-21 v1 Machine Learning Systems and Control

Abstract

This paper describes OpenIPDM software for modelling the deterioration process of infrastructures using network-scale visual inspection data. In addition to the deterioration state estimates, OpenIPDM provides functions for quantifying the effect of interventions, estimating the service life of an intervention, and generating synthetic data for verification purposes. Each of the aforementioned functions are accessible by an interactive graphical user interface. OpenIPDM is designed based on the research work done on a network of bridges in Quebec province, so that the concepts presented in the software have been validated for applications in a real-world context. In addition, this software provides foundations for future developments in the subject area of modelling the deterioration as well as intervention planning.

Keywords

Cite

@article{arxiv.2201.08254,
  title  = {OpenIPDM: A Probabilistic Framework for Estimating the Deterioration and Effect of Interventions on Bridges},
  author = {Zachary Hamida and Blanche Laurent and James-A. Goulet},
  journal= {arXiv preprint arXiv:2201.08254},
  year   = {2022}
}

Comments

Original software publication submitted to SoftwareX