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Extracting knowledge on slope behaviour from acoustic emission measurements

conference contribution
posted on 03.08.2022, 13:50 authored by Alister SmithAlister Smith, Lizheng Deng, Neil DixonNeil Dixon, Hongyong Yuan

Early warning systems for slope instability need to alert users of accelerating slope deformation behaviour to enable safety-critical decisions to be made. Field trials of acoustic emission (AE) monitoring of slopes have demonstrated conclusively that generated AE rates are proportional to slope deformation rates, and AE monitoring can be an effective approach to detect accelerating movements and communicate warnings to users. AE is becoming an accepted monitoring technology for geotechnical applications; however, challenges still exist to develop widely applicable interpretation strategies. In this paper, data from a field trial at Hollin Hill, North Yorkshire, UK and a large-scale experiment are used to develop strategies to extract knowledge on slope behaviour from AE measurements. Machine learning approaches for automated interpretation (warning trigger levels and quantifying rates of slope movement) are developed and demonstrated. A conceptual framework for extracting knowledge from AE measurements for use in decision-making is presented.


Listening to Infrastructure

Engineering and Physical Sciences Research Council

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Philip Leverhulme Prize in Engineering (PLP-2019-017)

Key Research and Development Program of Anhui Province (Grant No. 202104b11020021)

Hefei Institute for Public Safety Research, Tsinghua University (Grant No. QHHFYKF202101)



  • Architecture, Building and Civil Engineering


11th International Symposium on Field Monitoring in Geomechanics


International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE)


AM (Accepted Manuscript)

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© The Authors

Publisher statement

This is a conference paper accepted for presentation at the 11th International Symposium on Field Monitoring in Geomechanics held in London, UK. It will be subsequently published by the International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE) and the definitive published version can be found here

Acceptance date





London, UK

Event dates

4th September 2022 - 7th September 2022


Dr Alister Smith. Deposit date: 24 July 2022