1995
DOI: 10.1016/0377-0257(95)01378-4
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Brownian Dynamics simulation of reversible polymeric networks

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Cited by 47 publications
(67 citation statements)
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“…We also need to specify the exact forms of L(Q,t) (i.e., the probability rate of creation of the bridging chains of length Q A and M(Q,t) (i.e., the probability rate of destruction of the bridging chains). Although the above set of equations can be converted to the equivalent stochastic differential equation and then solved directly using techniques such as Brownian dynamics, 38,43 we seek to develop a simple closedform model by making suitable approximations without losing too much of the essential physics. Hence, we replace Q by the…”
Section: Constitutive Equationmentioning
confidence: 99%
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“…We also need to specify the exact forms of L(Q,t) (i.e., the probability rate of creation of the bridging chains of length Q A and M(Q,t) (i.e., the probability rate of destruction of the bridging chains). Although the above set of equations can be converted to the equivalent stochastic differential equation and then solved directly using techniques such as Brownian dynamics, 38,43 we seek to develop a simple closedform model by making suitable approximations without losing too much of the essential physics. Hence, we replace Q by the…”
Section: Constitutive Equationmentioning
confidence: 99%
“…Ahn and Osaki 37 introduced phenomenological expressions for the microscopic creation and destruction rates in terms of the effective macroscopic strain γ ) (τ 11 -τ 22 )/2τ 12 and enumerated 16 different rheological scenarios. Van den Brule and Hoogerbrugge 38 found from Brownian dynamics simulations that the probability of reattachment increases linearly with the length of chain. As a result of this mechanism, the fraction of long chain segments present in the network can increase with imposed flow, and this can explain the shear thickening observed experimentally.…”
Section: Constitutive Equationmentioning
confidence: 99%
“…The proposed mechanisms to account for the shear thickening are: (1) flow-induced loop-to-bridge transition [2][3][4][5], (2) cooperative effect of non-Gaussian chain stretching [6], and (3) network reorganization [7]. The three mechanisms may coexist, and their relative importance depends on the polymer molecular weight, concentration, and hydrophobe size.…”
Section: Introductionmentioning
confidence: 99%
“…The results of BD simulation of van den Brule and Hoogerbrugge 15) suggest that the association probability increases proportionally with the increase in dumbbell length. For FENE dumbbell, Cifre et al 12) proposed the following association probability:…”
Section: Governing Equationsmentioning
confidence: 98%