Digital image correlation and reliability-based methods for the design and repair of pressure pipes through composite solutions

Abstract

This work aims to develop an approach for the reliability-based analysis for the design and repair of pressurized pipes by means of composite solutions. To this end, the approach uses a simulation method to estimate the failure probability of the solution based on the Monte Carlo approach and a Polynomial Chaos Expansion surrogate metamodeling strategy. This combination allows us to reduce the computational time required for evaluating the system´s probability of failure as well as extracting the Sobol' indices during the sensitivity analysis stage. The uncertainties related with the composite solution were obtained by means of the Digital Image Correlation approach, allowing us to extract the Probabilistic Distribution Functions (PDF) of its main mechanical parameters. This methodology is validated through the design and repair of a pressurized pipe using a carbon fiber solution and roll wrapping technology. The results show the strong potential of the proposed methodology for the safety evaluation of pressurized composite pipes.

A Comparative Study of 2D and 3D Digital Image Correlation Approaches for the Characterization and Numerical Analysis of Composite Materials

“…For this work, the composite solution used was a CFRP manufactured with fiber CC 200 T-120, epoxy resin CR82 and complemented by a hardener Biresin CH80-10. The mechanical properties of the different constituents can be consulted in [38]. The manufacturing process of the specimen has been based on ISO 527:1997 [39,40].…”

“…But the presence of different factors or alterations in these sensors might entail inaccuracies and erroneous data measurements that could vary the inputs of the PDFs. For more details about the different factors the reader is refereed to García-Martín et al [21]. In order to avoid these limitations, the Scientific Community has developed different non-contact techniques which can evaluate all the strains over the specimen.…”

Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes

“…Firstly, a speckle pattern was applied using the aerosol technique (Figure 7b). The quality of the pattern was evaluated through the covering factor [31] as well as the Mean Intensity Gradient (MIG) index [50]. For the first variable, an average value between 45-50% was obtained.…”

“…This method allows us to obtain a full field of displacements and strains through the use of correspondence procedures based on correlations and numerical differentiation algorithms [29]. Thanks to this, DIC has been widely used for the analysis and characterization of various heterogeneous materials, such as wood [30], composites [31] and concrete [32]. In this last field, there are studies that cover both the measurement of strains [33] and the analysis of cracks [34,35], and even the characterization of the influence of aggregate size on drying contractions [36].…”

Analysis of Mechanical Behavior through Digital Image Correlation and Reliability of Pinus halepensis Mill.

“…In the analysis of material behavior, studies using the DIC technique have been conducted on construction materials such as brick [23], stone [24], and composites [25], in the process of concrete fracturing [26], and in the analysis of deformation of steel subjected to tensile stress [27][28][29]. DIC has also been used for plastic materials, such as polycarbonates [30] or polymeric matrix laminates [31], and has been proposed as a system for evaluating the deformation of railway lines [32].…”