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Statistical models of elasticity in main chain and smectic liquid ...

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26 CHAPTER 2. HAIRPIN CHAIN ELASTOMERS<strong>of</strong> straight cha<strong>in</strong>s, g(λ), is given by∫ Ng(λ) = g(1)+2 P(z)dz. (2.71)N/λThe macroscopic deformation can then be identified with the new mean spanR Λ with respect to the <strong>in</strong>itial mean span, R 1 :R Λ = g(λ)N +[1−g(λ)]λ〈z〉 hp (2.72)∫ N/λ( ) P(z)ΛR 1 = g(λ)N +[1−g(λ)]2 λz dz. (2.73)1−g(λ)The length <strong>of</strong> an average cha<strong>in</strong> is def<strong>in</strong>ed as the weighted average <strong>of</strong> thestraightened cha<strong>in</strong> length <strong>and</strong> the length <strong>of</strong> the hairp<strong>in</strong>ned cha<strong>in</strong>s. The latter,λ〈z〉 hp consists <strong>of</strong> the average 〈z〉 hp <strong>of</strong> the population <strong>in</strong>itially <strong>in</strong> the <strong>in</strong>tervalz = (0, N λ) that is still hairp<strong>in</strong>ned after extension λ, taken to its currentaverage length by multiplication by λ. The normalisation <strong>of</strong> the part <strong>of</strong> theprobability distribution for the hairp<strong>in</strong>ned cha<strong>in</strong>s has been written explicitlyfor clarity. The average <strong>in</strong>itial length <strong>of</strong> the cha<strong>in</strong>s is def<strong>in</strong>ed as above butwith Λ = λ = 10∫ NR 1 = Ng(1)+2 zP(z)dz. (2.74)0In both Eq. (2.74) <strong>and</strong> Eq. (2.73) the first term on the right h<strong>and</strong> side is thelength taken up by the fully extended cha<strong>in</strong>s <strong>and</strong> the second term is the lengthtaken upbytherema<strong>in</strong><strong>in</strong>gcha<strong>in</strong>swhichareat various degrees <strong>of</strong>extension <strong>and</strong>have vary<strong>in</strong>g numbers <strong>of</strong> hairp<strong>in</strong>s <strong>in</strong> them. Eq. (2.73) determ<strong>in</strong>es Λ[P(z),λ]<strong>in</strong> terms <strong>of</strong> the <strong>in</strong>ternal microscopic deformation <strong>and</strong> the <strong>in</strong>itial span distribution.This is a departure from the usual aff<strong>in</strong>e deformation approximation fornetworks because <strong>of</strong> the hard constra<strong>in</strong>ts met when the hairp<strong>in</strong>s are absent orare elim<strong>in</strong>ated. The macroscopic deformation, def<strong>in</strong>ed <strong>in</strong> Eq. (2.73), can berewritten as[{(g(1)+2 ∫ }NN/λ P(z)dz N +2λ ∫ ]N/λ0zP(z)dzΛ =Ng(1)+2 ∫ N0 zP(z)dz . (2.75)The asymptotics <strong>of</strong> Λ can be calculated as followsdΛdλ = 2 ∫ NλR 10zP(z)dz. (2.76)It is clear that the gradient goes to zero as λ → ∞. The value <strong>of</strong> Λ, fromEq. (2.75), is thenΛ(∞) = 2N ∫ N0 P(z)dz +g 1NNg 1 +2 ∫ N0 zP(z)dz

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