Advancements in Sinkhole Remediation: Field data-driven Sinkhole grout volume prediction model via machine learning-based regression Analysis

Bubryur Kim; Yuvaraj Natarajan; K. R. Sri Preethaa; V. Danushkumar; Ryan Shamet; Jiannan Chen; Rui Xie; Timothy Copeland; Boo Hyun Nam; Jinwoo An

doi:10.1016/j.aiig.2025.100159

Advancements in Sinkhole Remediation: Field data-driven Sinkhole grout volume prediction model via machine learning-based regression Analysis

Bubryur Kim
, Yuvaraj Natarajan
, K. R. Sri Preethaa
, V. Danushkumar
, Ryan Shamet
, Jiannan Chen
, Rui Xie
, Timothy Copeland
, Boo Hyun Nam
, Jinwoo An

School of Engineering

University of Central Florida
Kyung Hee University
University of Texas Rio Grande Valley

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	100159
Journal	Artificial Intelligence in Geosciences
Volume	6
Issue number	2
DOIs	https://doi.org/10.1016/j.aiig.2025.100159
State	Published - Oct 11 2025

ASJC Scopus Subject Areas

Control and Systems Engineering
Computers in Earth Sciences
Earth and Planetary Sciences (miscellaneous)
Artificial Intelligence

Keywords

Cone penetration test
Grout volume
Machine learning techniques
Sinkhole resistance ratio

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10.1016/j.aiig.2025.100159

Cite this

Kim, B., Natarajan, Y., Sri Preethaa, K. R., Danushkumar, V., Shamet, R., Chen, J., Xie, R., Copeland, T., Nam, B. H., & An, J. (2025). Advancements in Sinkhole Remediation: Field data-driven Sinkhole grout volume prediction model via machine learning-based regression Analysis. Artificial Intelligence in Geosciences, 6(2), Article 100159. https://doi.org/10.1016/j.aiig.2025.100159

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title = "Advancements in Sinkhole Remediation: Field data-driven Sinkhole grout volume prediction model via machine learning-based regression Analysis",

keywords = "Cone penetration test, Grout volume, Machine learning techniques, Sinkhole resistance ratio",

author = "Bubryur Kim and Yuvaraj Natarajan and \{Sri Preethaa\}, \{K. R.\} and V. Danushkumar and Ryan Shamet and Jiannan Chen and Rui Xie and Timothy Copeland and Nam, \{Boo Hyun\} and Jinwoo An",

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doi = "10.1016/j.aiig.2025.100159",

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TY - JOUR

T1 - Advancements in Sinkhole Remediation

T2 - Field data-driven Sinkhole grout volume prediction model via machine learning-based regression Analysis

AU - Kim, Bubryur

AU - Natarajan, Yuvaraj

AU - Sri Preethaa, K. R.

AU - Danushkumar, V.

AU - Shamet, Ryan

AU - Chen, Jiannan

AU - Xie, Rui

AU - Copeland, Timothy

AU - Nam, Boo Hyun

AU - An, Jinwoo

PY - 2025/10/11

Y1 - 2025/10/11

KW - Cone penetration test

KW - Grout volume

KW - Machine learning techniques

KW - Sinkhole resistance ratio

UR - https://www.mendeley.com/catalogue/47705c9b-5a31-3080-85cf-d8ab1e4d2c6c/

U2 - 10.1016/j.aiig.2025.100159

DO - 10.1016/j.aiig.2025.100159

M3 - Article

AN - SCOPUS:105019920080

VL - 6

JO - Artificial Intelligence in Geosciences

JF - Artificial Intelligence in Geosciences

IS - 2

M1 - 100159

ER -

Advancements in Sinkhole Remediation: Field data-driven Sinkhole grout volume prediction model via machine learning-based regression Analysis

ASJC Scopus Subject Areas

Keywords

Access to Document

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