By Mark Ainsworth, Hafiz Abdul Wajid (auth.), Mieczysław Kuczma, Krzysztof Wilmanski (eds.)
Prominent scientists current the most recent achievements in computational tools and mechanics during this booklet. those lectures have been held on the CMM 2009 conference.
Read or Download Computer Methods in Mechanics: Lectures of the CMM 2009 PDF
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Extra info for Computer Methods in Mechanics: Lectures of the CMM 2009
Fig. 6 percent. Fig. 5 presents the corresponding convergence history for the hp algorithm and, for illustration, Fig. 4 displays the distribution of σ11 component of the stress tensor on the optimal mesh. Notice the use of algebraic scale on the convergence plot with which the straight line corresponds to exponential convergence. 2 hp-Adaptive for Multiphysics Wave Propagation 31 22 33 42 34 90 44 45 97 100 99 106 109 37 108 55 117 23 56 20 153 146 156155162 165 164 173 118 209 211 218 220 212 221 229 147202 174 144 265 267 274 276 258 268 277 285 203 230 200 228 172 259 266 275 286 256 257 283 284 292 294 295 301 238 182 304 239 293 302 303 183 248 237 246 247 192 127 181 190 191 136 91 88 54 116 126 66 67 125 134 135 78 65 76 y z x 77 Fig.
Are output elementwise in the so-called expanded mode that includes all fields specified by the user. f for the elastic displacement. f. are simply zero. f. will represent a FE lift of the values on the interface. 2 Constrained Approximation The constrained approximation package described in [3, 5] is a result of many years of improvements and we have been very hesitant to modify it. f. f. Two versions of those routines were available: one for the H 1 -, and another one for H(curl)-conforming discretization.
The traction boundary condition is thus satisfied also in a weak sense only. The ultimate formulation looks as follows. 2 hp-Adaptive for Multiphysics Wave Propagation 23 ⎧ ⎪ ui ∈ H 1 (Ω ), ui = u0i on Γ1 ⎪ ⎪ ⎪ ¢ ¢ ¢ ⎪ ⎨¢ Ei jkl εi j (u)εkl (v) − ω 2 ρ u i vi = f i vi + g i vi ⎪ Ω Ω Ω Γ2 ⎪ ⎪ ⎪ ⎪ ∀vi ∈ H 1 (Ω ) : vi = 0 on Γ1 ⎩ In the static case ω = 0, the variational problem reduces to the classical Principle of Virtual Work, and it is equivalent to the problem of minimizing the total potential energy (Lagrange’s Theorem).