Automated Pre-Processing and BIM Implementation of Half-Cell Potential Measurements

Infrastructures, vol. 11, pp. 189

Abstract

Analog, paper-based workflows remain the norm in the condition assessment of reinforced concrete infrastructure, limiting the efficiency with which diagnostic data can be used in maintenance planning. In this research, a pre-processing procedure and BIM implementation workflow for half-cell potential measurement data are proposed, implemented in open-source software, to enable data-efficient integration of diagnostic information into a BIM model. By interpreting the potential mappings as point clouds, areas relevant for maintenance planning are automatically identified through the analysis of geometric features. These identified areas are subsequently transformed into BIM objects that carry the relevant diagnostic information. The results demonstrate that the pre-processing procedure and BIM implementation workflow reduce the number of required BIM objects by over 98% (from 27,040 to 434 elements) and the IFC file size by 97% (from 77.8 MB to 2.3 MB), enabling a lightweight BIM implementation with substantially improved rendering performance.

Authors 3

1. Domenic Graffi Aachen Institute of Construction Management

   RWTH Aachen University

   Affiliation as printed

   Institute of Construction Management, Digital Engineering and Robotics in Construction, RWTH Aachen University, 52072 Aachen, Germany

2. Hendrik Morgenstern Aachen Institute of Construction Management

   RWTH Aachen University

   Affiliation as printed

   Institute of Construction Management, Digital Engineering and Robotics in Construction, RWTH Aachen University, 52072 Aachen, Germany

3. Katharina Klemt‐Albert Aachen Institute of Construction Management

   RWTH Aachen University

   Affiliation as printed

   Institute of Construction Management, Digital Engineering and Robotics in Construction, RWTH Aachen University, 52072 Aachen, Germany