论文部分内容阅读
通过引入模式搜索的下降准则及其算法,部分解决了环境激励下运营桥梁结构间接辨识中可能存在的局部极值与算法收敛的问题,以及工程数据中可能存在的不可导、不连续的问题。引入了带收敛证明的广义模式搜索方法,介绍了模式移动、网格尺寸、表决等概念,通过构造算例来阐述了其搜索机理。对于运营结构的间接辨识,提出了其响应数据可能不可导、甚至不连续,或在一般算法中可能存在局部极值、算法不收敛的问题;基于无导数下降准则的模式搜索,能准确地通过车辆响应来对结构参数、车辆参数进行辨识;通过比较不同噪声水平下算法的迭代过程中的目标函数值、搜索次数、网格尺寸与表决结果,说明了其具备抗强噪声水平干扰的能力;并指出了通过加入罚函数即可向含约束的类似问题推广。
By introducing the descent criterion of pattern search and its algorithm, the partial extremum and the convergence of algorithms that may exist in the indirect identification of bridge operation under environmental excitation are partially solved, and some possible non-conductive and discontinuous problems in engineering data are solved. The generalized pattern search method with convergence proof is introduced. The concepts of pattern movement, grid size and voting are introduced. The search mechanism is illustrated by constructing examples. For the indirect identification of operational structure, the problem that the response data may not be even or even discontinuous, or the local extremum may exist in the general algorithm, the algorithm does not converge is proposed. The pattern search based on the non-derivative descent criterion can accurately pass Vehicle response to identify structural parameters and vehicle parameters. By comparing the objective function value, search times, grid size and voting results of iterative process under different noise levels, it shows that it has the ability of anti-strong noise level interference; It is pointed out that we can generalize the similar problems with constraints by adding the penalty function.