Online Bridge Structural Condition Assessment Based on the Gaussian Process: A Representative Data Selection and Performance Warning Strategy

<div>Warning results based on the proposed method with different severity degrees, second scenario, the Honghe Bridge (samples 1–4405: training dataset; samples 4406–5286: validation dataset; samples 5287–7048: test dataset with severity degree increments from 0 to 5%; red solid line: warning threshold II).</div>

Structural Control and Health Monitoring

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Figure 22

Figure 22: Online Bridge Structural Condition Assessment Based on the Gaussian Process: A Representative Data Selection and Performance Warning Strategy 

Figure 22 | Online Bridge Structural Condition Assessment Based on the Gaussian Process: A Representative Data Selection and Performance Warning Strategy 