以双可区分度为准则的变形监测网非线性动态优化设计

在监测网设计阶段，不仅要考虑不同变形模型之间的可区分度，而且要研究变形与粗差的可区分度，即双可区分度，以利以后进行变形分析。文中导出了变形与粗差的可区分度，并以双可区分度为准则进行监测网非线性动态优化设计。同时给出了一个非线性直接优化算法，该算法避开了常规的台劳级数线性展开的方法，易于在计算机上实现。

Nonlinear Dynamic Optimization Design of Deformation Monitoring Networks Based on the Double-Separability Criterion

This paper discusses that we should take into account not only the separability among various deformation models, but also the separability between the deformation and gross errors, that is double-separability, in the design of deformation monitoring networks. This will benefit to the of deformation. Separability of deformation and gross errors has been derived by the author. The double-separability is used in the nonlinear-dynamic optimization design of deformation monitoring networks. A nonlinear direct optimization algorithm is given. The algorithm is diferent from the Talor expansion methods and easy to be realized by computer.