Computer-implemented processing of sound wave signals for non-destructive evaluation of wooden specimen

1. A method for performing non-destructive evaluation (NDE) of a wooden specimen, comprising, by a computing device, wherein the computing device is operatively coupled to a first acoustic wave transducer and a second acoustic wave transducer;

receiving, by the first acoustic wave transducer, first acoustic wave signal data transmitted by the second acoustic wave transducer for NDE of the wooden specimen;

receiving, by the second acoustic wave transducer, second acoustic wave signal data transmitted by the first acoustic wave transducer, wherein the second acoustic wave data is transmitted simultaneously with the first acoustic wave signal data;

processing at least the first acoustic wave signal data to determine wave characteristics;

determining an estimated strength metric of the wooden specimen based on one or more of the wave characteristics; and

displaying, on a graphical user interface in communication with the computing device, an indication of the estimated strength metric of the wooden specimen.

2. The method of claim 1 , wherein processing the acoustic wave signal data comprises identifying an AW2 wave based on detecting a peak energy of the acoustic wave signal data.

3. The method of claim 2 , wherein the wave characteristics comprise one of an arrival velocity and an attenuation value of the AW2 wave.

4. The method of claim 3 where determining the estimated strength metric is based at least on an empirically determined correlation between the estimated strength metric and one of the arrival velocity and the attenuation value of the AW2 wave.

5. The method of claim 2 wherein processing the acoustic wave signal data further comprises performing a Gabor continuous wavelet transformation.

6. The method of claim 1 further comprising receiving second acoustic wave signal data of the wooden specimen corresponding to a second propagation plane different from a propagation plane of the acoustic wave signal data.

7. The method of claim 6 further comprising determining a moisture content of the wooden specimen based at least on the acoustic wave signal data and the second acoustic wave signal data.

8. The method of claim 1 , wherein the acoustic wave signal data corresponds to an ultrasonic wave.

9. A computing device comprising:

one or more computer-readable storage media;

one or more processors operatively coupled with the one or more computer-readable storage media; and

program instructions stored on the one or more computer-readable storage media that, when executed by the one or more processors, direct the computing device to at least:

receive, by a first acoustic wave transducer, first acoustic wave signal data transmitted by a second acoustic wave transducer for non-destructive evaluation (NDE) of a wooden specimen, wherein the first acoustic wave transducer and the second acoustic wave transducer are operatively coupled to the computing device;

receive, by the second acoustic wave transducer, second acoustic wave signal data transmitted by the first acoustic wave transducer, wherein the second acoustic wave signal data is transmitted simultaneously with the first acoustic wave signal data;

process at least the first acoustic wave signal data to determine wave characteristics;

determine an estimated strength metric of the wooden specimen based on one or more of the wave characteristics; and

display, on a graphical user interface in communication with the computing device, an indication of the estimated strength metric of the wooden specimen.

10. The computing device of claim 9 , wherein to process the acoustic wave signal data, the program instructions direct the computing device to identify an AW2 wave based on detecting a peak energy of the acoustic wave signal data.

11. The computing device of claim 10 , wherein the wave characteristics comprise one of an arrival velocity and an attenuation value of the AW2 wave.

12. The computing device of claim 11 , wherein the estimated strength metric is based at least on an empirically determined correlation between the estimated strength metric and one of the arrival velocity and the attenuation value of the AW2 wave.

13. The computing device of claim 10 , wherein to process the acoustic wave signal data, the program instructions further direct the computing device to perform a Gabor continuous wavelet transformation.

14. The computing device of claim 9 , wherein the program instructions further direct the computing device to receive second acoustic wave signal data of the wooden specimen corresponding to a second propagation plane different from a propagation plane of the acoustic wave signal data.

15. The computing device of claim 14 , wherein the program instructions further direct the computing device to determine a moisture content of the wooden specimen based at least on the acoustic wave signal data and the second acoustic wave signal data.

16. One or more non-transitory computer-readable storage media having program instructions stored thereon that, when executed by one or more processors operatively coupled with the one or more non-transitory computer-readable storage media, direct a computing apparatus to at least:

receive, by a first acoustic wave transducer, acoustic wave signal data transmitted by a second acoustic wave transducer for non-destructive evaluation (NDE) of a wooden specimen, wherein the first acoustic wave transducer and the second acoustic wave transducer are operatively coupled to the computing apparatus;

process the acoustic wave signal data to determine wave characteristics, wherein to process the acoustic wave signal data, the program instructions direct the computing apparatus to identify an AW2 wave based on detecting a peak energy of the acoustic wave signal data;

determine an estimated strength metric of the wooden specimen based on one or more of the wave characteristics; and

display, on a graphical user interface in communication with the computing apparatus, an indication of the estimated strength metric of the wooden specimen.

17. The one or more non-transitory computer-readable storage media of claim 16 , wherein the program instructions further direct the computing apparatus to receive, by the second acoustic wave transducer, second acoustic wave signal data transmitted by the first acoustic wave transducer, wherein the second acoustic wave signal data is transmitted simultaneously with the acoustic wave signal data.

18. The one or more non-transitory computer-readable storage media of claim 17 , wherein the wave characteristics comprise one of an arrival velocity and an attenuation value of the AW2 wave.

19. The one or more non-transitory computer-readable storage media of claim 18 , wherein the estimated strength metric is based at least on an empirically determined correlation between the estimated strength metric and one of the arrival velocity and the attenuation value of the AW2 wave.

20. The one or more non-transitory computer-readable storage media of claim 16 , wherein the program instructions further direct the computing apparatus to receive second acoustic wave signal data of the wooden specimen corresponding to a second propagation plane different from a propagation plane of the acoustic wave signal data.