Interfacial separation of a mature biofilm from a glass surface – A combined experimental and cohesive zone modelling approach

Safari, Ashkan; Tuković, Željko; Cardiff, Philip; Walter, Maik; Casey, Eoin; Ivanković, Alojz

doi:10.1016/j.jmbbm.2015.09.013

Cited by 15 publications

(11 citation statements)

References 69 publications

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“…Compression testing has also been implemented between two glass rods. 117 Low load compression testing (LLCT) has been more recently developed for uniaxial compressive tests. The difference is the 2.5 mm diameter cylinder upper plate that bears down on the biofilm sample with up to 20% strain.…”

Section: Mechanical Tests Are Abundantmentioning

confidence: 99%

See 1 more Smart Citation

Towards standardized mechanical characterization of microbial biofilms: analysis and critical review

Boudarel

Mathias²,

Blaysat

et al. 2018

npj Biofilms Microbiomes

119

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Developing reliable anti-biofilm strategies or efficient biofilm-based bioprocesses strongly depends on having a clear understanding of the mechanisms underlying biofilm development, and knowledge of the relevant mechanical parameters describing microbial biofilm behavior. Many varied mechanical testing methods are available to assess these parameters. The mechanical properties thus identified can then be used to compare protocols such as antibiotic screening. However, the lack of standardization in both mechanical testing and the associated identification methods for a given microbiological goal remains a blind spot in the biofilm community. The pursuit of standardization is problematic, as biofilms are living structures, i.e., both complex and dynamic. Here, we review the main available methods for characterizing the mechanical properties of biofilms through the lens of the relationship linking experimental testing to the identification of mechanical parameters. We propose guidelines for characterizing biofilms according to microbiological objectives that will help the reader choose an appropriate test and a relevant identification method for measuring any given mechanical parameter. The use of a common methodology for the mechanical characterization of biofilms will enable reliable analysis and comparison of microbiological protocols needed for improvement of engineering process and screening.

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Section: Mechanical Tests Are Abundantmentioning

confidence: 99%

“…Adhesive profiles have recently been investigated with the retraction curves based on a microscale AFM method. 117 Some research groups have designed custom-built devices for the characterization of biofilm properties. The T-shaped probe 94 is a micromanipulation technique used to study adhesive strength.…”

Section: Mechanical Tests Are Abundantmentioning

confidence: 99%

Towards standardized mechanical characterization of microbial biofilms: analysis and critical review

Boudarel

Mathias²,

Blaysat

et al. 2018

npj Biofilms Microbiomes

119

View full text Add to dashboard Cite

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“…Multiple types of T–S relations have been proposed 15 – 17 based on mathematical approximations (such as Dugdale and triangular forms) 15 , 17 , 18 or physical observations (such as Lennard–Jones potential) 19 , 20 . Due to the nature of short adhesion range, it requires high resolution experiments and imaging, such as atomic force microscopy (AFM) 15 , 18 , 21 , 22 and optical interferometric measurements 7 , 10 , together with numerical and theoretical analysis to fully establish T–S relations. For example, to determine an intrinsic T–S relation of a single asperity contact, both AFM experimental pull-off forces and results from FEA and Maugis-Dugdale- n analytical model 23 are obtained.…”

Section: Introductionmentioning

confidence: 99%

Characterize traction–separation relation and interfacial imperfections by data-driven machine learning models

Ferdousi

Chen

Soltani

et al. 2021

Sci Rep

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Interfacial mechanical properties are important in composite materials and their applications, including vehicle structures, soft robotics, and aerospace. Determination of traction–separation (T–S) relations at interfaces in composites can lead to evaluations of structural reliability, mechanical robustness, and failures criteria. Accurate measurements on T–S relations remain challenging, since the interface interaction generally happens at microscale. With the emergence of machine learning (ML), data-driven model becomes an efficient method to predict the interfacial behaviors of composite materials and establish their mechanical models. Here, we combine ML, finite element analysis (FEA), and empirical experiments to develop data-driven models that characterize interfacial mechanical properties precisely. Specifically, eXtreme Gradient Boosting (XGBoost) multi-output regressions and classifier models are harnessed to investigate T–S relations and identify the imperfection locations at interface, respectively. The ML models are trained by macroscale force–displacement curves, which can be obtained from FEA and standard mechanical tests. The results show accurate predictions of T–S relations (R2 = 0.988) and identification of imperfection locations with 81% accuracy. Our models are experimentally validated by 3D printed double cantilever beam specimens from different materials. Furthermore, we provide a code package containing trained ML models, allowing other researchers to establish T–S relations for different material interfaces.

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“…The original 2D approach of Fryer [ 5 , 6 ] was subsequently extended to three dimensions by Bailey and Cross [ 7 , 8 ]. In addition, the finite volume method has been applied to a number of fluid-solid interaction problems, and includes the assumption of viscoelasticity of one or more materials [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. These approaches are implemented in licensed as well as “open source” software (openFOAM) that allows discretization of time, space, and equations based on the finite volume method.…”

Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Investigations of Polymer Viscoelastic Materials Obtained by 3D Printing

et al. 2021

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The aim of this research is to determine the relaxation and creep modulus of 3D printed materials, and the numerical research is based on the finite volume method. The basic material for determining these characteristics is ABS (acrylonitrile butadiene styrene) plastic as one of the most widely used polymeric materials in 3D printing. The experimental method for determining the relaxation functions involved the use of a creep test, in which a constant increase of the stress of the material was performed over time to a certain predetermined value. In addition to this test, DMA (dynamic mechanical analysis) analysis was used. Determination of unknown parameters of relaxation functions in analytical form was performed on the basis of the expression for the storage modulus in the frequency domain. The influence of temperature on the values of the relaxation modulus is considered through the determination of the shift factor. Shift factor is determined on the basis of a series of tests of the relaxation function at different constant temperatures. The shift factor is presented in the form of the WLF (Williams-Landel-Ferry) equation. After obtaining such experimentally determined viscoelastic characteristics with analytical expressions for relaxation modulus and shift factors, numerical analysis can be performed. For this numerical analysis, a mathematical model with an incremental approach was used, as developed in earlier works although with a certain modification. In the experimental analysis, the analytical expression for relaxation modulus in the form of the Prony series is used, and since it is the sum of exponential functions, this enables the derivation of a recursive algorithm for stress calculation. Numerical analysis was performed on several test cases and the results were compared with the results of the experiment and available analytical solutions. A good agreement was obtained between the results of the numerical simulation and the results of the experiment and analytical solutions.

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Interfacial separation of a mature biofilm from a glass surface – A combined experimental and cohesive zone modelling approach

Cited by 15 publications

References 69 publications

Towards standardized mechanical characterization of microbial biofilms: analysis and critical review

Towards standardized mechanical characterization of microbial biofilms: analysis and critical review

Characterize traction–separation relation and interfacial imperfections by data-driven machine learning models

Numerical and Experimental Investigations of Polymer Viscoelastic Materials Obtained by 3D Printing

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