Characterization of random fields from NDT measurements: A two stages procedure

• Published in: Engineering structures Vol. 111; pp. 312 - 322
• Main Authors: Schoefs, F., Bastidas-Arteaga, E., Tran, T.V., Villain, G., Derobert, X.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.03.2016; Elsevier
• Subjects: Characterization; Civil Engineering; Engineering Sciences; Environmental Sciences; Global Changes; Inspection; Materials; Non-destructive testing; Optimization; Random field; Spatial variability; Characterization; Inspection; Random field; Spatial variability; Non-destructive testing; Optimization; optimization; characterization; random field; spatial variability; non-destructive testing; inspection
• ISSN: 0141-0296; 1873-7323
• DOI: 10.1016/j.engstruct.2015.11.041

•We propose a two stages methodology for characterization of random fields.•It aims at optimizing the number and location of measures under quality requirements.•It is mainly based on random field modeling and Monte Carlo simulations.•The methodology is applied to a numerical example and a study case.•The results show that the optimal configuration ensure the quality requirements. Characterization of randomness and spatial variability of material properties, loading or deterioration processes of structures, from inspection, is a very challenging task that concentrates the improvement of Non Destructive Testing (NDT) tools on more efficient and higher structural coverage. In case of characterization of random loading or material properties, this challenge is arduous because of the limited number of measures and the quasi-infinite potential positions of local failures. This paper presents a two stages procedure for the stochastic characterization of random fields from NDT measurements. According to the stationarity property, the optimal quantity of NDT measurements and their position can be assessed once a quality requirement is included. The proposed procedure allows: (i) to quantify the properties of the ergodic stationary field, and (ii) to assess the second order parameters of the studied random variables. The paper ends illustrating the methodology with an application that considers the inspection of a concrete beam with a capacitive technique. The results indicate that the proposed methodology is useful to identify the parameters of a random field by reducing the number of NDT measures under given quality requirements.