Israr B. M. Ibrahim, Syarizal Fonna, T. Arriessa Sukhairi, Rudi Kurniawan, Syifaul Huzni
To ensure infrastructure resilience, regular assessment of infrastructure damage must be carried out. To assess hidden corrosion in reinforced concrete structure, inverse analysis can be employed. Inverse analysis combines partial field data and computational analysis, including machine learning. In this paper, Bayesian optimization was used for inverse analysis to find hidden corrosion in a reinforced concrete corrosion. A simple case study was presented where the hidden corrosion location was known. The partial data on the surface of the concrete was known and used for the inverse analysis. The Bayesian optimization was successfully used to find the location of the hidden corrosion. The Max Expected Improvement acquisition function performs better than Max Probability Improvement one. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
CCRG Laboratory, Department of Mechanical Engineering, Universitas Syiah Kuala, Aceh, 23111, Indonesia; Department of Mechanical Engineering, Universitas Syiah Kuala, Aceh, 23111, Indonesia
Research at a Glance
Register to unlock
Topics & SDG Alignment
Register to unlock
Collaboration
Register to unlock
Author Profile (Selected)
Register to unlock
References Overview
Register to unlock
Journal & Source
Register to unlock
Metadata & Integrity
Register to unlock