Experimental Identification of Statistical Correlation between Mechanical Properties of FRP Composite

Zhang, Shufeng; Xing, Tongzhen; Zhu, Haibin; Chen, Xun

doi:10.3390/ma13030674

Cited by 18 publications

(10 citation statements)

References 31 publications

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“…Finally, in Zhang et al, [124] it was proposed to optimize an open‐hole off‐axis specimen subjected to a tensile test in order to identify the four elastic parameters of a unidirectional orthotropic carbon‐epoxy composite. The statistical correlation existing between these parameters was also studied.…”

Section: Design By Identification Qualitymentioning

confidence: 99%

Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements

Pierron

Grédiac

2020

Strain

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Full‐field optical measurements like digital image correlation or the grid method have brought a paradigm shift in the experimental mechanics community. While inverse identification techniques like finite element model updating or the virtual fields method have been the object of significant developments, current test methods, inherited from the age of strain gauges or linear variable displacement transducers, are generally not well adapted to the rich information provided by these new measurement tools. This paper provides a review of the research dealing with the design and optimization of heterogeneous mechanical tests for the identification of material parameters from full‐field measurements, christened here Material Testing 2.0 (MT2.0).

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Section: Design By Identification Qualitymentioning

confidence: 99%

Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements

Pierron

Grédiac

2020

Strain

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“…In [15], statistical information of the mechanical properties of CFRP is given. By using the coefficients of variation (COV), lognormal distributions have been defined, see also Table 2.…”

Section: Materials Parametersmentioning

confidence: 99%

“…Furthermore, a Gaussian copula with linear correlation parameters ρ i j has been defined based on [15]:…”

Section: Materials Parametersmentioning

confidence: 99%

Global stability failure of a 3D composite structure accompanied by unavoidable polymorphic uncertainties

Drieschner¹,

Wolf²,

Petryna³

2021

14th WCCM-ECCOMAS Congress

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In this study, a non-linear stability analysis of a carbon fiber reinforced plastic (CFRP) considering unavoidable polymorphic uncertainties is conducted. For the realistic incorporation of the uncertainties in the finite element model, thickness variations and geometrical inaccuracies have been detected in advance by non-destructive testing. For that, a structure made of CFRP has been designed. Additionally, the material parameters have been defined as dependent stochastic variables based on reference studies in the literature. The distinction in aleatory and epistemic uncertainties leads to different uncertainty models and to a computationally costly fuzzy-stochastic analysis. Strains and displacements have been measured in a symmetric three-point bending test and compared to the numerical predictions. In addition to the present uncertain parameters, a case study shows that the fiber volume content and a small pre-deformation should be taken into account to minimize the deviation from the experimental results.

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“…In general, there are various candidates for the main fabrics used for carbon composite materials, such as plain weave, twill weave, and unidirectional, and thus there are various laminated structures in which these are combined. Therefore, in order to utilize the carbon composite material in products, it should be noted that the mechanical properties basically vary depending on the laminated structure, and the test results necessarily vary as well [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Modal Damping Coefficient Estimation of Carbon-Fiber-Reinforced Plastic Material Considering Temperature Condition

2020

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Excellent mechanical properties of carbon-fiber-reinforced plastic material (CFRP) demonstrates many possibilities in industries using lightweight materials, but unlike isotropic materials, such as iron, aluminum, and magnesium, they show direction-sensitive properties, which makes it difficult to apply for them. The sensitivity of a modal damping coefficient of a CFRP material over the direction of carbon fiber was examined on spectral input patterns in recent research, but the effect of temperature was not considered up to now. To overcome this, uniaxial vibration tests were conducted using five simple specimens with different direction of carbon fiber in a CFRP specimen, the frequency response functions were experimentally determined and the modal damping coefficients were calculated. It was revealed that the resonance point and the modal damping of the specimen changed according to the change in temperature condition. Based on the experimental results, it was demonstrated that the theoretical frequency response function of the carbon composite material is a function of temperature, and it was confirmed that the nonlinear characteristic of the modal damping was the smallest under the 0 degree of direction of carbon fiber.

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Experimental Identification of Statistical Correlation between Mechanical Properties of FRP Composite

Cited by 18 publications

References 31 publications

Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements

Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements

Global stability failure of a 3D composite structure accompanied by unavoidable polymorphic uncertainties

Modal Damping Coefficient Estimation of Carbon-Fiber-Reinforced Plastic Material Considering Temperature Condition

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