Prediction of Soil Erosion Using 3D Point Scans and Acoustic Emissions

Over half of the approximately 12,000 earthen watershed dams sponsored by the USDA have exceeded their planned 50-year service life. Age, land use changes, extreme weather events, structural deterioration, and sedimentation filling flood pools pose increased risks of dam incidents and potential fail...

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Main Authors: Jarrett Wise, Mohammed F. Al Dushaishi
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/16/7/1009
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author Jarrett Wise
Mohammed F. Al Dushaishi
author_facet Jarrett Wise
Mohammed F. Al Dushaishi
author_sort Jarrett Wise
collection DOAJ
description Over half of the approximately 12,000 earthen watershed dams sponsored by the USDA have exceeded their planned 50-year service life. Age, land use changes, extreme weather events, structural deterioration, and sedimentation filling flood pools pose increased risks of dam incidents and potential failures. Among various mechanisms leading to integrity issues, soil erosion is of particular concern due to its potential to occur with little warning. The objective of this research is to determine if soil erosion can be predicted using acoustic emissions. A simulated dam overtopping experiment was replicated in a test flume with dimensions of 0.61 m by 4.27 m (2 ft. by 14 ft.) with a 13.7% slope and a 0.15 m (6 in) layer of inorganic clay (USCS CL) compacted at 17.4% moisture content. A constant flow discharge of 0.07 m<sup>3</sup>/s (2.37 cfs) was applied to induce erosion. The test was performed until complete failure of the test section occurred. Throughout the experiment, a sonar radar, a 3D scanning total station, and an accelerometer were used to monitor the water level, erosion levels, and vibrations, respectively. The frequency analysis of the water-induced vibrations was compared to measured erosion volumes to determine if in situ vibrations can predict erosion. The results revealed a linear relationship between erosion volume and time, with noticeable changes in the frequency domains as erosion progressed. The outcomes of this research have the potential to provide real-time insights into the integrity of earthen dams concerning erosion, offering a valuable tool for monitoring and maintenance.
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spelling doaj.art-9018b280288845b78b65c3624df8fbdd2024-04-12T13:27:10ZengMDPI AGWater2073-44412024-03-01167100910.3390/w16071009Prediction of Soil Erosion Using 3D Point Scans and Acoustic EmissionsJarrett Wise0Mohammed F. Al Dushaishi1USDA-ARS, Stillwater, OK 74075, USAPetroleum Engineering, School of Chemical Engineering, Oklahoma State University, Stillwater, OK 74075, USAOver half of the approximately 12,000 earthen watershed dams sponsored by the USDA have exceeded their planned 50-year service life. Age, land use changes, extreme weather events, structural deterioration, and sedimentation filling flood pools pose increased risks of dam incidents and potential failures. Among various mechanisms leading to integrity issues, soil erosion is of particular concern due to its potential to occur with little warning. The objective of this research is to determine if soil erosion can be predicted using acoustic emissions. A simulated dam overtopping experiment was replicated in a test flume with dimensions of 0.61 m by 4.27 m (2 ft. by 14 ft.) with a 13.7% slope and a 0.15 m (6 in) layer of inorganic clay (USCS CL) compacted at 17.4% moisture content. A constant flow discharge of 0.07 m<sup>3</sup>/s (2.37 cfs) was applied to induce erosion. The test was performed until complete failure of the test section occurred. Throughout the experiment, a sonar radar, a 3D scanning total station, and an accelerometer were used to monitor the water level, erosion levels, and vibrations, respectively. The frequency analysis of the water-induced vibrations was compared to measured erosion volumes to determine if in situ vibrations can predict erosion. The results revealed a linear relationship between erosion volume and time, with noticeable changes in the frequency domains as erosion progressed. The outcomes of this research have the potential to provide real-time insights into the integrity of earthen dams concerning erosion, offering a valuable tool for monitoring and maintenance.https://www.mdpi.com/2073-4441/16/7/1009earthen dam integrityembankmentsbreachvibrational analysiserosionreal-time monitoring
spellingShingle Jarrett Wise
Mohammed F. Al Dushaishi
Prediction of Soil Erosion Using 3D Point Scans and Acoustic Emissions
Water
earthen dam integrity
embankments
breach
vibrational analysis
erosion
real-time monitoring
title Prediction of Soil Erosion Using 3D Point Scans and Acoustic Emissions
title_full Prediction of Soil Erosion Using 3D Point Scans and Acoustic Emissions
title_fullStr Prediction of Soil Erosion Using 3D Point Scans and Acoustic Emissions
title_full_unstemmed Prediction of Soil Erosion Using 3D Point Scans and Acoustic Emissions
title_short Prediction of Soil Erosion Using 3D Point Scans and Acoustic Emissions
title_sort prediction of soil erosion using 3d point scans and acoustic emissions
topic earthen dam integrity
embankments
breach
vibrational analysis
erosion
real-time monitoring
url https://www.mdpi.com/2073-4441/16/7/1009
work_keys_str_mv AT jarrettwise predictionofsoilerosionusing3dpointscansandacousticemissions
AT mohammedfaldushaishi predictionofsoilerosionusing3dpointscansandacousticemissions