Appendix A
Predicted response time histories for model #711 (6.5 Hz, 2 stories, and 1.2 Mass reference ratio) across all earthquakes. This sample, as with the others, displays a certain level of similarity to the original/target responses in specific aspects. In each of the following figures, the response of the specific sample model is shown, both in frequency and time domains for each of the earthquakes. Meanwhile, MDOF models’ IDs are increment values of the combination of frequency, number of stories, and mass reference ratio. The model naming is shown in the following table.
Table A1.
MDOF models’ labeling.
Table A1.
MDOF models’ labeling.
ID | Frequency (Hz) | Stories | Mass Reference Ratio |
---|
1 | 1 | 1 | 0.8 |
2 | 1 | 1 | 0.85 |
. | . | . | . |
. | . | . | . |
. | . | . | . |
62 | 1 | 7 | 1.15 |
63 | 1 | 7 | 1.2 |
. | . | . | . |
. | . | . | . |
. | . | . | . |
66 | 1.5 | 1 | 0.9 |
Figure A1.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 5995), (b) EQ response phase predicted (signal 5995), (c) EQ response magnitude target (signal 5995), and (d) EQ response magnitude predicted (signal 5995).
Figure A1.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 5995), (b) EQ response phase predicted (signal 5995), (c) EQ response magnitude target (signal 5995), and (d) EQ response magnitude predicted (signal 5995).
Figure A2.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 5995 (model #711, EQ #1).
Figure A2.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 5995 (model #711, EQ #1).
Figure A3.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 5996), (b) EQ response phase predicted (signal 5996), (c) EQ response magnitude target (signal 5996), and (d) EQ response magnitude predicted (signal 5996).
Figure A3.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 5996), (b) EQ response phase predicted (signal 5996), (c) EQ response magnitude target (signal 5996), and (d) EQ response magnitude predicted (signal 5996).
Figure A4.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 5996 (model #711, EQ #2).
Figure A4.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 5996 (model #711, EQ #2).
Figure A5.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 5997), (b) EQ response phase predicted (signal 5997), (c) EQ response magnitude target (signal 5997), and (d) EQ response magnitude predicted (signal 5997).
Figure A5.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 5997), (b) EQ response phase predicted (signal 5997), (c) EQ response magnitude target (signal 5997), and (d) EQ response magnitude predicted (signal 5997).
Figure A6.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 5997 (model #711, EQ #3).
Figure A6.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 5997 (model #711, EQ #3).
Figure A7.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 5998), (b) EQ response phase predicted (signal 5998), (c) EQ response magnitude target (signal 5998), and (d) EQ response magnitude predicted (signal 5998).
Figure A7.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 5998), (b) EQ response phase predicted (signal 5998), (c) EQ response magnitude target (signal 5998), and (d) EQ response magnitude predicted (signal 5998).
Figure A8.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 5998 (model #711, EQ #4).
Figure A8.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 5998 (model #711, EQ #4).
Figure A9.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 5999), (b) EQ response phase predicted (signal 5999), (c) EQ response magnitude target (signal 5999), ad (d) EQ response magnitude predicted (signal 5999).
Figure A9.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 5999), (b) EQ response phase predicted (signal 5999), (c) EQ response magnitude target (signal 5999), ad (d) EQ response magnitude predicted (signal 5999).
Figure A10.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 5999 (model #711, EQ #5).
Figure A10.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 5999 (model #711, EQ #5).
Figure A11.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 6000), (b) EQ response phase predicted (signal 6000), (c) EQ response magnitude target (signal 6000), and (d) EQ response magnitude predicted (signal 6000).
Figure A11.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 6000), (b) EQ response phase predicted (signal 6000), (c) EQ response magnitude target (signal 6000), and (d) EQ response magnitude predicted (signal 6000).
Figure A12.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 6000 (model #711, EQ #6).
Figure A12.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 6000 (model #711, EQ #6).
Figure A13.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 6001), (b) EQ response phase predicted (signal 6001), (c) EQ response magnitude target (signal 6001), and (d) EQ response magnitude predicted (signal 6001).
Figure A13.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 6001), (b) EQ response phase predicted (signal 6001), (c) EQ response magnitude target (signal 6001), and (d) EQ response magnitude predicted (signal 6001).
Figure A14.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 6001 (model #711, EQ #7).
Figure A14.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 6001 (model #711, EQ #7).
Figure A15.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 6002), (b) EQ response phase predicted (signal 6002), (c) EQ response magnitude target (signal 6002), and (d) EQ response magnitude predicted (signal 6002).
Figure A15.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 6002), (b) EQ response phase predicted (signal 6002), (c) EQ response magnitude target (signal 6002), and (d) EQ response magnitude predicted (signal 6002).
Figure A16.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 6002 (model #711, EQ #8).
Figure A16.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 6002 (model #711, EQ #8).
Figure A17.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 6003), (b) EQ response phase predicted (signal 6003), (c) EQ response magnitude target (signal 6003), and (d) EQ response magnitude predicted (signal 6003).
Figure A17.
A sample of input/output set of images for training, with (a) EQ response phase target (signal 6003), (b) EQ response phase predicted (signal 6003), (c) EQ response magnitude target (signal 6003), and (d) EQ response magnitude predicted (signal 6003).
Figure A18.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 6003 (model #711, EQ #9).
Figure A18.
Predicted EQ response time history (blue) compared to the target one (orange) of signal 6003 (model #711, EQ #9).