Research Article
A Time-Domain Structural Damage Detection Method Based on Improved Multiparticle Swarm Coevolution Optimization Algorithm
Table 6
Identification results of all damage scenarios.
| | Damage scenarios | | | | | | | |
| | D1 | | | | | | | | | Identification | 0.988 | 0.999 | 0.997 | 0.968 | 0.999 | 0.998 | 0.998 | | Theoretical values | 1.000 | 1.000 | 1.000 | 0.959 | 1.000 | 1.000 | 1.000 | | Relative error (%) | 1.2 | 0.1 | 0.3 | 0.9 | 0.1 | 0.2 | 0.2 | | D2 | | | | | | | | | Identification | 0.993 | 0.986 | 0.993 | 0.839 | 0.999 | 0.993 | 0.998 | | Theoretical values | 1.000 | 1.000 | 1.000 | 0.833 | 1.000 | 1.000 | 1.000 | | Relative error (%) | 0.7 | 1.4 | 0.7 | 0.7 | 0.1 | 0.7 | 0.2 | | D3 | | | | | | | | | Identification | 0.983 | 0.987 | 0.993 | 0.836 | 0.999 | 0.953 | 0.999 | | Theoretical values | 1.000 | 1.000 | 1.000 | 0.833 | 1.000 | 0.959 | 1.000 | | Relative error (%) | 1.7 | 1.3 | 0.7 | 0.4 | 0.1 | 0.6 | 0.1 | | D4 | | | | | | | | | Identification | 0.998 | 0.990 | 0.943 | 0.829 | 1.000 | 0.958 | 1.000 | | Theoretical values | 1.000 | 1.000 | 0.959 | 0.833 | 1.000 | 0.959 | 1.000 | | Relative error (%) | 0.2 | 1.0 | 1.7 | 0.5 | 0.0 | 0.1 | 0.0 | | D5 | | | | | | | | | Identification | 0.999 | 0.983 | 0.962 | 0.840 | 0.999 | 0.821 | 1.000 | | Theoretical values | 1.000 | 1.000 | 0.959 | 0.833 | 1.000 | 0.833 | 1.000 | | Relative error (%) | 0.1 | 1.7 | 0.3 | 0.8 | 0.1 | 1.4 | 0.0 | | D6 | | | | | | | | | Identification | 0.999 | 0.984 | 0.822 | 0.838 | 1.000 | 0.825 | 1.000 | | Theoretical values | 1.000 | 1.000 | 0.833 | 0.833 | 1.000 | 0.833 | 1.000 | | Relative error (%) | 0.1 | 1.6 | 1.3 | 0.5 | 0.0 | 1.0 | 0.0 |
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