
基于截断GSVD方法的桥梁移动荷载识别
Identification of dynamic axle loads on bridge based on truncated generalized singular value decomposition
In view of the ill-posed problems on solving moving force identification system matrix , a truncated generalized singular value decomposition(TGSVD) algorithm for moving force identification has been developed by introducing regularization matrix. The numerical simulation of two-axle moving force loads show that the proposed method TGSVD has many good properties compared with time domain method(TDM), such as better identification accuracy, robust noise immunity and less effect of response type and response combination, which is beneficial to the application of TGSVD in the field identification of dynamic axle loads on bridge.
移动荷载识别 / 病态问题 / 时域法 / 截断广义奇异值分解法 {{custom_keyword}} /
moving force identification / ill-posed problem / time domain method / truncated generalized singular value decomposition {{custom_keyword}} /
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