Effect of input signal type and time delay in sensors on wave velocity in rock specimens

Jin Yeon Kim, Jaewon Jang, Tae Sup Yun

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Accurate determination of wave velocity is critical to evaluating small-strain stiffness and helps identify anisotropy in rocks. The time delay in transducers and the selection of input signal types influence the computed wave velocity. Four types of input signals are used to obtain the travel time by determining the first arrival time and computing the peak-to-peak time for granite and sandstone specimens, and the phase velocity is computed by subtracting the time delay occurring in transducers from the travel time. The results show that the first arrival time and the peak-to-peak time tend to overestimate and underestimate, respectively, the velocity and a tone-burst signal comprising a 5-cycle sine burst is most appropriate to gather the reliable velocity in laboratory-scale experiments. The estimation of anisotropy in granite and sandstone is well defined when a tone-burst signal is used. The accuracy of wave velocity measurement technique using first-propagated tone-burst signal is investigated by comparing the wave velocity measured by using reflected signals. The velocity measurement proposed by this study is useful to accurately estimated rock properties such as uniaxial compressive strength, poison ratio, elastic modulus, and shear modulus.

Original languageEnglish
Article number105225
JournalEngineering Geology
Publication statusPublished - 2019 Oct 3

Bibliographical note

Funding Information:
This work was supported by the Land and Housing Institute (LHI) grant funded by the Korea Land and Housing Corporation , the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) ( 2016R1A2B4011292 ), and the research fund of the Korea Agency for Infrastructure Technology Advancement (KAIA) ( 19CTAP-C142849-02 ).

Publisher Copyright:
© 2019 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geology


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