# Influence of Structural Parameters on Deformation Behavior of Metal Rhombic Chain Mesh
## 5 Conclusions  
This study investigated the deformation behavior of metallic rhombic chain netting under static loading conditions. A finite element numerical model incorporating beam elements and contact elements was developed using the Ansys platform. The effects of netting solidity and initial pretension on the structural performance of the chain net were \begin{table}
\begin{tabular}{l l c c} \hline \hline  & & \multicolumn{3}{c}{**Magnitude of Change**} \\ \cline{3-4}  & & **Concentrated Loads** & **Distributed Load** \\ \hline \multirow{2}{*}{Initial pretension 200 N} & \(\varepsilon_{0.17}/0.11\) & 53.07\% & 68.68\% \\  & \(\varepsilon_{0.29}/0.11\) & 86.38\% & 74.72\% \\ \multirow{2}{*}{Compactness Sn = 0.11} & \(\varepsilon_{250}/200\) & 3.48\% & 3.52\% \\  & \(\varepsilon_{300}/200\) & 8.07\% & 8.14\% \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Statistics on the magnitude of change in displacement of metal mesh coat due to changes in mesh coat compactness and initial pretension under centralized loading and uniform loading. \begin{table}
\begin{tabular}{l l c c c c} \hline \hline  & & \(\varepsilon_{\textbf{0.17}/0.11}\) & \
\begin{tabular}{c} **Average Magnitude** \\ **of Change** \\ \end{tabular} & \(\varepsilon_{\textbf{0.29}/0.11}\) &
\begin{tabular}{c} **Average Magnitude** \\ **of Change** \\ \end{tabular} \\ \hline \multirow{4}{*}{Concentrated loads} & 60 N & 71.20\% & & 84.98\% & \\  & 80 N & 71.70\% & & 84.75\% & \\ \multirow{2}{*}{Concentrated loads} & 100 N & 72.00\% & 71.89\% & 85.11\% & \\  & 120 N & 72.20\% & & 85.14\% & \\  & 140 N & 72.35\% & & 85.17\% & \\  & 6 N & 48.94\% & & 71.22\% & \\  & 8 N & 44.59\% & & 68.04\% & \\ \multirow{2}{*}{Distributed load} & 10 N & 40.76\% & 41.55\% & 65.75\% & \\  & 12 N & 37.86\% & & 64.02\% & \\  & 14 N & 35.60\% & & 62.67\% & \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Statistics on the magnitude of force changes at metal mesh clothing measurement points due to centralized and uniform load changes. thoroughly examined. Validation through comparison with experimental data demonstrated that the model achieved maximum displacement errors of 6.70% and 5.65% under concentrated and uniformly distributed loads, respectively. The deviation from the results reported in Reference [28] remained within 10%, indicating that within a certain deformation range, the proposed finite element model based on beam and contact connector elements can effectively simulate the deformation of netting structures while reducing computational workload. Both netting solidity and initial pretension were found to significantly affect the deformation and internal forces of the metallic rhombic chain net. Increases in either parameter contributed to reduced deformation and enhanced structural stiffness. Among them, solidity showed a more pronounced influence. As the solidity increased from 0.11 to 0.29, the displacement at measurement points decreased at an accelerating rate, with the maximum reduction exceeding 68%. Moreover, the effect of solidity on wire forces was greater than that of pretension. Increasing netting solidity effectively reduced the tensile force in the wire elements, with the maximum reduction exceeding 70%, helping to alleviate local stress concentrations and improve overall structural stability. The findings of this study provide theoretical support and practical reference for the structural design and assembly of metallic netting systems. Methodology, J.Y. and L.W. ; Software, J.Y. ; Validation, J.Y. ; Formal analysis, J.Y. ; Investigation, J.Y. and W.X. ; Resources, W.X. and D.W.; Data curation, W.X. and D.W.; Writing--original draft, J.Y. ; Writing--review & editing, W.X. and C.C. ; Project administration, C.C. ; Funding acquisition, C.C. All authors have read and agreed to the published version of the manuscript. This research was funded by 1. National Key Research and Development Program, grant number 2024 YFD2400200; 2. Liaoning Provincial Science and Technology Plan, grant number 2024-MSLH-045; 3.