Abstract

Sinkholes are a significant geohazard in karst topography areas with life-threatening consequences and a need for timely detection and mitigation. However, sinkholes are challenging to characterize and a multi-disciplinary task. Currently, deterministic methods (e.g., analytical and numerical solutions) have been developed to provide a more robust analysis of sinkhole raveling in Central Florida but have limited applications for sinkholes throughout the state of Florida. Additionally, the mitigation methods after identification, such as grouting, need significant improvement based on currently available data. This study presents a four-step approach for improving sinkhole identification and mitigation: (1) build a substantial sinkhole geotechnical testing database for all areas of Florida; (2) use the expanded database to evaluate previously created sinkhole indices and raveling chart; (3) develop an effective method of monitoring susceptible sinkhole locations and (4) develop a sinkhole mitigation technique based on the existing site investigation data, specifically through grouting. These deliverables were developed through the collection of an extensive data set of geotechnical investigations performed in karst landscapes for sinkhole investigation and mitigation purposes throughout Florida. The methodology and conclusion of this research aim to provide safer and more cost-effective geotechnical evaluations and designs.

Notes

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Graduation Date

2023

Semester

Spring

Advisor

Chen, Jiannan

Degree

Doctor of Philosophy (Ph.D.)

College

College of Engineering and Computer Science

Department

Civil, Environmental, and Construction Engineering

Degree Program

Civil Engineering

Identifier

CFE0009505; DP0027508

URL

https://purls.library.ucf.edu/go/DP0027508

Language

English

Release Date

May 2026

Length of Campus-only Access

3 years

Access Status

Doctoral Dissertation (Campus-only Access)

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Restricted to the UCF community until May 2026; it will then be open access.

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