Long term availability of raw experimental data in experimental fracture mechanics

Diehl, Patrick; Tabiai, Ilyass; Baumann, Felix W.; Therriault, Daniel; Lévesque, Martin

doi:10.1016/j.engfracmech.2018.04.030

Cited by 4 publications

(5 citation statements)

References 6 publications

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“…We wish to emphasize at this point that accessing raw published experimental data in experimental fracture mechanics is difficult. A study of the long-term availability of raw experimental data was carried out in [35]. The main result of the study was that out of the 187 articles published from 2000 to 2016, only 11 data sets were still available and 42% of the authors who were contacted did actually reply.…”

Section: Choice Of Validation Metricmentioning

confidence: 99%

A Review of Benchmark Experiments for the Validation of Peridynamics Models

Diehl

Prudhomme

Lévesque

2019

J Peridyn Nonlocal Model

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106

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Peridynamics (PD), a non-local generalization of classical continuum mechanics (CCM) allowing for discontinuous displacement fields, provides an attractive framework for the modeling and simulation of fracture mechanics applications. However, PD introduces new model parameters, such as the so-called horizon parameter. The length scale of the horizon is a priori unknown and need to be identified. Moreover, the treatment of the boundary conditions is also problematic due to the non-local nature of PD models. It has thus become crucial to calibrate the new PD parameters and assess the model adequacy based on experimental observations. The objective of the present paper is to review and catalog available experimental setups that have been used to date for the calibration and validation of peridynamics. We have identified and analyzed a total of 39 publications that compare PD-based simulation results with experimental data. In particular, we have systematically reported, whenever possible, either the relative error or the R-squared coefficient. The best correlations were obtained in the case of experiments involving aluminum and steel materials. Experiments based on imaging techniques were also considered. However, images provide large amounts of information and their comparison with simulations is in that case far from trivial. A total of six publications have been identified and summarized that introduce numerical techniques for extracting additional attributes from peridynamics simulations in order to facilitate the comparison against image-based data.

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Section: Choice Of Validation Metricmentioning

confidence: 99%

A Review of Benchmark Experiments for the Validation of Peridynamics Models

Diehl

Prudhomme

Lévesque

2019

J Peridyn Nonlocal Model

Self Cite

106

View full text Add to dashboard Cite

show abstract

“…1. experimental data is usually not disclosed in the literature [366] whereas all data and experimental designs are made available in the Sandia challenge;…”

Section: Reasons For Sandia Fracture Challenge and Outlinementioning

confidence: 99%

“…Table 6 lists the phase-field and peridynamic models which were compared against the same experimental data. On the other hand, accessing raw experimental data is a different challenge [366], and one of the Sandia Fracture Challenges could be used to validate peridynamics and phase-field models against the same experimental data. 6.…”

Section: Common Challenges To Pd and Pfmentioning

confidence: 99%

A comparative review of peridynamics and phase-field models for engineering fracture mechanics

et al. 2022

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Computational modeling of the initiation and propagation of complex fracture is central to the discipline of engineering fracture mechanics. This review focuses on two promising approaches: phase-field (PF) and peridynamic (PD) models applied to this class of problems. The basic concepts consisting of constitutive models, failure criteria, discretization schemes, and numerical analysis are briefly summarized for both models. Validation against experimental data is essential for all computational methods to demonstrate predictive accuracy. To that end, the Sandia Fracture Challenge and similar experimental data sets where both models could be benchmarked against are showcased. Emphasis is made to converge on common metrics for the evaluation of these two fracture modeling approaches. Both PD and PF models are assessed in terms of their computational effort and predictive capabilities, with their relative advantages and challenges are summarized.

show abstract

“…We wish to emphasize at this point that accessing raw published experimental data in experimental fracture mechanics is difficult. A study of the long-term availability of raw experimental data was carried out in [34]. The main result of the study was that out of the 187 articles published from 2000 to 2016, only 11 data sets were still available and 42 % of the authors who were contacted did actually reply.…”

Section: Choice Of Validation Metricmentioning

confidence: 99%

A review of benchmark experiments for the validation of peridynamics models

Diehl¹

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Peridynamics (PD), a non-local generalization of classical continuum mechanics (CCM) allowing for discontinuous displacement fields, provides an attractive framework for the modeling and simulation of fracture mechanics applications. However, PD introduces new model parameters, such as the so-called horizon parameter. The length scale of the horizon is a priori unknown and need to be identified. Moreover, the treatment of the boundary conditions is also problematic due to the non-local nature of PD models. It has thus become crucial to calibrate the new PD parameters and assess the model adequacy based on experimental observations. The objective of the present paper is to review and catalog available experimental set-ups that have been used to date for the calibration and validation of peridynamics. We have identified and analyzed a total of 39 publications that compare PD-based simulation results with experimental data. In particular, we have systematically reported, whenever possible, either the relative error or the R-squared coefficient. The best correlations were obtained in the case of experiments involving aluminum and steel materials. Experiments based on imaging techniques were also considered. However, images provide large amounts of information and their comparison with simulations is in that case far from trivial. A total of 6 publications have been identified and summarized, that introduce numerical techniques for extracting additional attributes from peridynamics simulations in order to facilitate the comparison against image-based data.

show abstract

Long term availability of raw experimental data in experimental fracture mechanics

Cited by 4 publications

References 6 publications

A Review of Benchmark Experiments for the Validation of Peridynamics Models

A Review of Benchmark Experiments for the Validation of Peridynamics Models

A comparative review of peridynamics and phase-field models for engineering fracture mechanics

A review of benchmark experiments for the validation of peridynamics models

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