Abstract
To diagnose damages within the retaining wall structure, the Hilbert marginal energy spectrum was acquired via the Hilbert–Huang transformation of virtual impulse response functions of responses to the retaining wall under ambient excitations. Based on the Hilbert marginal energy spectrum, the Hilbert damage feature vector spectrum was created. On the basis of the damage feature vector spectrum, a damage identification index was proposed. Based on the damage feature vector spectrum and damage index, the damage state of the retaining wall was detected by the damage feature vector spectrum, damage locations of the wall were diagnosed by the damage index trend surface, and the damage intensity of the wall was identified by the quantitative relationship between the damage index and damage intensity. Based on this, a damage diagnosis method for retaining wall structures was proposed. To verify the feasibility and validity of the damage diagnosis method, both model tests and field tests on a pile plate retaining wall are performed under ambient excitations. Test results show that the damage state of the wall can be detected sensitively, damage locations can be diagnosed validly, and damage intensity can be identified quantitatively via this damage diagnosis method.
Highlights
Retaining walls, as a common type of retaining structures, were widely used in building engineering, transportation engineering, underground engineering, and related fields
Common damage diagnosis methods mainly include the methods based on structural dynamic parameters, methods based on the model updating, methods based on the intelligence algorithm, and methods based on response signals
Regarding the lack of damage identification methods for retaining wall structures, the intrinsic mode functions are acquired via doing the empirical mode decomposition of virtual impulse response functions of responses to the retaining wall under ambient excitations. en, the Hilbert marginal energy spectrum is obtained by the Hilbert
Summary
As a common type of retaining structures, were widely used in building engineering, transportation engineering, underground engineering, and related fields. Common damage diagnosis methods mainly include the methods based on structural dynamic parameters, methods based on the model updating, methods based on the intelligence algorithm, and methods based on response signals. Because such dynamic parameters as frequencies and mode shapes can be acquired, the damage identification methods based on structural parameters are widely used to detect damages. Irdly, based on the damage feature vector spectrum and damage index, a damage diagnosis method for retaining wall structures was proposed. The feasibility and validity of the damage diagnosis method are verified via model tests and field tests
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