Multilevel Genetic Algorithm–Based Acoustic–Elastodynamic Imaging of Coupled Fluid–Solid Media to Detect an Underground Cavity-Reference-Cited by-同舟云学术

Multilevel Genetic Algorithm–Based Acoustic–Elastodynamic Imaging of Coupled Fluid–Solid Media to Detect an Underground Cavity

Published:2023-01 Issue:1 Volume:37 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Guidio Bruno¹^ORCID,Nam Boo Hyun²,Jeong Chanseok³^ORCID

Affiliation:

1. Postdoctoral Researcher, School of Engineering and Technology, Central Michigan Univ., Mount Pleasant, MI 48859. ORCID:

2. Associate Professor, Dept. of Civil Engineering, Kyung Hee Univ., 1732 Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, Republic of Korea.

3. Assistant Professor, School of Engineering and Technology, Central Michigan Univ., Mount Pleasant, MI 48859; Member, Institute for Great Lakes Research, Central Michigan Univ., Mount Pleasant, MI 48859 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0001058

Reference34 articles.

1. A generalized genetic framework for the development of sinkholes and Karst in Florida, U.S.A.

2. The detection of cavities using the microgravity technique: case histories from mining and karstic environments

3. Comparison of Shear-Wave Slowness Profiles at 10 Strong-Motion Sites from Noninvasive SASW Measurements and Measurements Made in Boreholes

4. Multiscale seismic waveform inversion

5. Microgravimetric and gravity gradient techniques for detection of subsurface cavities

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