# 3D Stress Analysis of Multilayered Functionally Graded Plates and Shells under Moisture Conditions
## 4 Results
### Assessments
[74]** \\ \hline \multicolumn{10}{c}{\(R_{\beta}/h=50\)} \\ \hline \multirow{3}{*}{\(\widehat{w}\) at \(z=h\)} & 3D(\(\theta_{a}\)) & 9.8080 & 9.7773 & 9.7762 & 9.7759 & 9.7759 & \multirow{3}{*}{7.272} & \multirow{3}{*}{7.1337} \\  & 3D(\(\theta_{c},1D\)) & 7.5570 & 7.2809 & 7.2703 & 7.2676 & 7.2671 & & \\  & 3D(\(\theta_{c},3D\)) & 7.4312 & 7.1467 & 7.1358 & 7.1330 & 7.1325 & & \\ \hline \multirow{3}{*}{\(\widehat{w}\) at \(z=h/2\)} & 3D(\(\theta_{a}\)) & 8.6672 & 8.6375 & 8.6365 & 8.6362 & 8.6362 & \multirow{3}{*}{6.5284} & \multirow{3}{*}{6.4131} \\  & 3D(\(\theta_{c},1D\)) & 6.7886 & 6.5371 & 6.5274 & 6.5250 & 6.5245 & & \\  & 3D(\(\theta_{c},3D\)) & 6.6843 & 6.4250 & 6.4150 & 6.4125 & 6.4120 & & \\ \hline \multirow{3}{*}{\(\widehat{w}\) at \(z=0\)} & 3D(\(\theta_{a}\)) & 8.1689 & 8.1401 & 8.1391 & 8.1388 & 8.1388 & \multirow{3}{*}{6.2996} & \multirow{3}{*}{6.1942} \\  & 3D(\(\theta_{c},1D\)) & 6.5471 & 6.3026 & 6.2932 & 6.2908 & 6.2903 & & \\  & 3D(\(\theta_{c},3D\)) & 6.4582 & 6.2058 & 6.1960 & 6.1936 & 6.1931 & & \\ \hline \multirow{3}{*}{\(\widehat{u}\) at \(z=h\)} & 3D(\(\theta_{a}\)) & \(-5.3944\) & \(-5.3825\) & \(-5.3821\) & \(-5.3820\) & \(-5.3820\) & & \\  & 3D(\(\theta_{c},1D\)) & \(-3.7791\) & \(-3.6488\) & \(-3.6438\) & \(-3.6426\) & \(-3.6423\) & \(-3.6252\) & \(-3.5466\) \\  & 3D(\(\theta_{c},3D\)) & \(-3.6863\) & \(-3.5527\) & \(-3.5476\) & \(-3.5463\) & \(-3.5461\) & & \\ \hline \multirow{3}{*}{\(\widehat{u}\) at \(z=h/2\)} & 3D(\(\theta_{a}\)) & \(-2.5669\) & \(-2.5643\) & \(-2.5642\) & \(-2.5642\) & \(-2.5642\) & & \\  & 3D(\(\theta_{c},1D\)) & \(-1.5635\) & \(-1.5150\) & \(-1.5131\) & \(-1.5127\) & \(-1.5126\) & \(-1.4900\) & \(-1.4532\) \\  & 3D(\(\theta_{c},3D\)) & \(-1.5046\) & \(-1.4554\) & \(-1.4536\) & \(-1.4531\) & \(-1.4530\) & & \\ \hline \multirow{3}{*}{\(\widehat{u}\) at \(z=0\)} & 3D(\(\theta_{a}\)) & 0.0300 & 0.0239 & 0.0237 & 0.0236 & 0.0236 & \multirow{3}{*}{0.4816} & \multirow{3}{*}{0.4833} \\  & 3D(\(\theta_{c},1D\)) & 0.4850 & 0.4578 & 0.4567 & 0.4564 & 0.4564 & & \\  & 3D(\(\theta_{c},3D\)) & 0.5136 & 0.4846 & 0.4835 & 0.4832 & 0.4831 & & \\ \hline \multicolumn{10}{c}{\(R_{\beta}/h=1000\)} \\ \hline \multirow{3}{*}{\(\widehat{w}\) at \(z=h\)} & 3D(\(\theta_{a}\)) & 69.477 & 69.348 & 69.344 & 69.343 & 69.342 & \multirow{3}{*}{44.402} & \multirow{3}{*}{43.590} \\  & 3D(\(\theta_{c},1D\)) & 45.154 & 43.661 & 43.604 & 43.589 & 43.587 & & \\  & 3D(\(\theta_{c},3D\)) & 45.150 & 43.657 & 43.600 & 43.586 & 43.583 & & \\ \hline \multirow{3}{*}{\(\widehat{w}\) at \(z=h/2\)} & 3D(\(\theta_{a}\)) & 69.424 & 69.294 & 69.290 & 69.289 & 69.289 & \multirow{3}{*}{44.364} & \multirow{3}{*}{43.553} \\  & 3D(\(\theta_{c},1D\)) & 45.116 & 43.624 & 43.567 & 43.553 & 43.550 & & \\ \cline{1-1}  & 3D(\(\theta_{c},3D\)) & 45.113 & 43.620 & 43.563 & 43.549 & 43.546 & & \\ \hline \multirow{3}{*}{\(\widehat{w}\) at \(z=0\)} & 3D(\(\theta_{a}\)) & 69.417 & 69.287 & 69.283 & 69.282 & 69.282 & \multirow{3}{*}{44.365} & \multirow{3}{*}{43.554} \\  & 3D(\(\theta_{c},1D\)) & 45.117 & 43.625 & 43.568 & 43.554 & 43.551 & & \\ \cline{1-1}  & 3D(\(\theta_{c},3D\)) & 45.114 & 43.621 & 43.564 & 43.550 & 43.547 & & \\ \hline \multirow{3}{*}{\(\widehat{u}\) at \(z=h\)} & 3D(\(\theta_{a}\)) & \(-2.994\) & \(-2.991\) & \(-2.990\) & \(-1.990\) & \(-2.990\) & & \\ \cline{1-1}  & 3D(\(\theta_{c},1D\)) & \(-1.848\) & \(-1.789\) & \(-1.787\) & \(-1.786\) & \(-1.786\) & \(-1.8211\) & \(-1.7868\) \\ \cline{1-1}  & 3D(\(\theta_{c},3D\)) & \(-1.847\) & \(-1.789\) & \(-1.787\) & \(-1.786\) & \(-1.786\) & & \\ \hline \multirow{3}{*}{\(\widehat{u}\) at \(z=h/2\)} & 3D(\(\theta_{a}\)) & \(-1.903\) & \(-1.901\) & \(-1.901\) & \(-1.901\) & \(-1.901\) & & \\ \cline{1-1}  & 3D(\(\theta_{c},1D\)) & \(-1.138\) & \(-1.103\) & \(-1.102\) & \(-1.102\) & \(-1.102\) & \(-1.1238\) & \(-1.1021\) \\ \cline{1-1}  & 3D(\(\theta_{c},3D\)) & \(-1.138\) & \(-1.103\) & \(-1.102