A probabilistic model for strength analysis of composite double-lap single-bolt joints

Zhao, Libin; Shan, Meijuan; Liu, Fengrui; Zhang, Jianyu

doi:10.1016/j.compstruct.2016.11.074

Cited by 39 publications

(7 citation statements)

References 44 publications

(41 reference statements)

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“…A probabilistic model and sensitivity analysis of several factors of a double-lap, single bolt joint is presented in ref. [85]. Askri et al [72] proposed a probabilistic analysis of uncertainties (hole-location errors, clearance size and bolt preload) and worst-case analysis of a mechanical four-fastener single-lap joint with the use of a simplified description of the joint and a genetic algorithm.…”

Section: Whqvlrq Frpsuhvvlrqmentioning

confidence: 99%

The Influence of Selected Local Phenomena in CFRP Laminate on Global Characteristics of Bolted Joints

et al. 2019

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High specific mechanical properties of composites are the reason for their use in various fields, e.g., the aerospace industry. Mechanical joints are still used in the aerospace industry to assembly large aircraft structures. The properties of laminate around the hole can be, however, weakened, compared to their nominal values as a result of a drilling process or cyclic loading. This paper aims at the classification and analysis of imperfections affecting mechanically fastened joints in a laminate structure. A method of modeling the hole vicinity, a gradient material model, as well as the numerical and experimental estimation of laminate deterioration in this area, were proposed and analyzed. Comparative analysis of numerical and experimental results based on displacements of the testing machine grip and the extensometer length confirmed the aforementioned results as consistent in linear ranges. Therefore, joint characteristics obtained based upon measurement of the grip displacement and the ratio of stiffness in linear ranges are sufficient to determine the parameters of a gradient material model. Some imperfections resulting from, e.g., asymmetry, were included in the gradient material model; thus, the obtained weakening of laminate properties in the hole vicinity can be overestimated. Therefore, further analyses of the gradient material model for laminate structures are necessary.

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Section: Whqvlrq Frpsuhvvlrqmentioning

confidence: 99%

The Influence of Selected Local Phenomena in CFRP Laminate on Global Characteristics of Bolted Joints

et al. 2019

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“…To better judge the various damage modes occurred in the analysis process, failure criteria containing nonlinear factors [7], developed from Hashin three-dimensional failure criteria, was adopted in this article to determine the various damage of laminated plate occurred in the bearing process.…”

Section: Failure Criteriamentioning

confidence: 99%

Progressive Failure Analysis and Strength Prediction of Composite Structures Interference-fitted with Mechanical Connections

Wei¹,

Chen²,

Cheng³

2018

dtetr

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The mechanical connection was the main connection means of composite structures. In this paper, a three-dimensional finite element model of progressive failure was established by business software ABAQUS. The model considered the contact between bolt and hole, progressive damage, large deformation theory, and nonlinear shear stress/strain relations. HASHIN failure criterion and TAN material property degradation criterion were adopted to study the progressive failure process of mechanical connection structure, and the effects of different interferences (0%, 0.5%, 3%) on the strength and stiffness of mechanical connection structures were investigated. The results showed that the proper interference fit could improve the bearing strength of the mechanical connection, while the excessive interference fit could reduce the bearing strength of the connection, which was in consistent with the test results.

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“…Up till now, the probabilistic mechanical properties of composite laminae have been investigated by two methodologies, which are the macro-level-started experimental method and the micro-level-started theoretical or numerical method. The former determines the statistics of mechanical properties based on numerous experimental data and probability distribution models [ 13 , 14 , 15 , 16 , 17 , 18 ]. For example, Jeong and Shenoi [ 14 ] obtained thirty-five experimental values of each mechanical parameter of composite laminae and determined their statistical characteristics by assuming that they follow the normal or Weibull distribution.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Jeong and Shenoi [ 14 ] obtained thirty-five experimental values of each mechanical parameter of composite laminae and determined their statistical characteristics by assuming that they follow the normal or Weibull distribution. However, the probability distribution type of the mechanical properties of composite laminae is found to influence the probabilistic strength of composite structures [ 15 ]. Furthermore, the large quantity of specimens required in this method indicates the high cost and long time period.…”

Section: Introductionmentioning

confidence: 99%

A Novel Micromechanics-Model-Based Probabilistic Analysis Method for the Elastic Properties of Unidirectional CFRP Composites

Shan

Zhao

2022

Materials

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Considerable uncertainties in the mechanical properties of composites not only prevent them from having efficient applications but also threaten the safety and reliability of structures. In order to determine the uncertainty in the elastic properties of unidirectional CFRP composites, this paper develops a probabilistic analysis method based on a micromechanics theoretical model and the Monte Carlo simulation. Firstly, four commonly used theoretical models are investigated by calculating the deterministic elastic parameters of three unidirectional CFRP composites, which are compared with experimental outcomes. According to error analyses, the bridging model is the most brilliant one, with errors lower than 6%, which suggests that it can be used in probabilistic analyses. Furthermore, constituent parameters are regarded as normally distributed random variables, and the Monte Carlo simulation was used to obtain samplings based on the statistics of constituent parameters. The predicted probabilistic elastic parameters of the T800/X850 composite coincide with those from experiments, which verified the effectiveness of the developed probabilistic analysis method. According to the probabilistic analysis results, the statistics of the elastic parameters, the correlations between the elastic parameters, and their sensitivity to the constituent’s properties are determined. The moduli E11, E22, and G12 of the T800/X850 composite follow the lognormal distribution, namely, ln(E11)~N[5.15, 0.0282], ln(E22)~N[2.15, 0.0242], and ln(G12)~N[1.48, 0.0382], whereas its Poisson’s ratio, v12, obeys the normal distribution, namely, v12~N(0.33, 0.0122). Additionally, the correlation coefficients between v12 and E11/E22/G12 are small and thus can be ignored, whereas the correlation coefficients between any two of E11, E22, and G12 are larger than 0.5 and should be considered in the reliability analyses of composite structures. The developed probabilistic analysis method based on the bridging model and the Monte Carlo simulation is fast and reliable and can be used to efficiently evaluate the probabilistic properties of the elastic parameters of any unidirectional composite in the reliability design of structures in engineering practice.

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A probabilistic model for strength analysis of composite double-lap single-bolt joints

Cited by 39 publications

References 44 publications

The Influence of Selected Local Phenomena in CFRP Laminate on Global Characteristics of Bolted Joints

The Influence of Selected Local Phenomena in CFRP Laminate on Global Characteristics of Bolted Joints

Progressive Failure Analysis and Strength Prediction of Composite Structures Interference-fitted with Mechanical Connections

A Novel Micromechanics-Model-Based Probabilistic Analysis Method for the Elastic Properties of Unidirectional CFRP Composites

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