Using the Impulse–Response Pile Data for Soil CharacterizationSource: Journal of Engineering Mechanics:;2023:;Volume ( 149 ):;issue: 010::page 04023078-1DOI: 10.1061/JENMDT.EMENG-6865Publisher: ASCE
Abstract: The impulse–response (IR) test is the most commonly used field procedure for assessing the structural integrity of piles embedded in soil. The IR test uses the response of the pile to waves induced by an impulse load applied at the pile head in order to assess the condition of the pile. However, due to the contact between the pile and the soil, the recorded response at the pile head carries information not only about the pile, but about the soil as well, thus creating the as-yet-unexplored opportunity to characterize the properties of the surrounding soil. In effect, such dual use of the IR test data renders piles into probes for characterizing the near-surface soil deposits and/or soil erosion along the pile–soil interface. In this article, we discuss a systematic full-waveform-based inversion methodology that allows imaging of the soil surrounding a pile using conventional IR test data. We adopt a heterogeneous Winkler model to account for the effect of the soil on the pile’s response, and the pile’s end is assumed to be elastically supported, thus also accounting for the underlying soil. We appeal to a partial differential equation (PDE)-constrained-optimization approach, where we seek to minimize the misfit between the recorded time-domain response at the pile head (the IR data), and the response due to trial distributions of the spatially varying soil stiffness, subject to the coupled pile–soil wave propagation physics. We report numerical experiments involving layered soil profiles for piles founded on either soft or stiff soil, where the inversion methodology successfully characterizes the soil.
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| contributor author | Heeyong Huh | |
| contributor author | Heedong Goh | |
| contributor author | Jun Won Kang | |
| contributor author | Stijn François | |
| contributor author | Loukas F. Kallivokas | |
| date accessioned | 2023-11-27T23:19:35Z | |
| date available | 2023-11-27T23:19:35Z | |
| date issued | 7/31/2023 12:00:00 AM | |
| date issued | 2023-07-31 | |
| identifier other | JENMDT.EMENG-6865.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4293481 | |
| description abstract | The impulse–response (IR) test is the most commonly used field procedure for assessing the structural integrity of piles embedded in soil. The IR test uses the response of the pile to waves induced by an impulse load applied at the pile head in order to assess the condition of the pile. However, due to the contact between the pile and the soil, the recorded response at the pile head carries information not only about the pile, but about the soil as well, thus creating the as-yet-unexplored opportunity to characterize the properties of the surrounding soil. In effect, such dual use of the IR test data renders piles into probes for characterizing the near-surface soil deposits and/or soil erosion along the pile–soil interface. In this article, we discuss a systematic full-waveform-based inversion methodology that allows imaging of the soil surrounding a pile using conventional IR test data. We adopt a heterogeneous Winkler model to account for the effect of the soil on the pile’s response, and the pile’s end is assumed to be elastically supported, thus also accounting for the underlying soil. We appeal to a partial differential equation (PDE)-constrained-optimization approach, where we seek to minimize the misfit between the recorded time-domain response at the pile head (the IR data), and the response due to trial distributions of the spatially varying soil stiffness, subject to the coupled pile–soil wave propagation physics. We report numerical experiments involving layered soil profiles for piles founded on either soft or stiff soil, where the inversion methodology successfully characterizes the soil. | |
| publisher | ASCE | |
| title | Using the Impulse–Response Pile Data for Soil Characterization | |
| type | Journal Article | |
| journal volume | 149 | |
| journal issue | 10 | |
| journal title | Journal of Engineering Mechanics | |
| identifier doi | 10.1061/JENMDT.EMENG-6865 | |
| journal fristpage | 04023078-1 | |
| journal lastpage | 04023078-13 | |
| page | 13 | |
| tree | Journal of Engineering Mechanics:;2023:;Volume ( 149 ):;issue: 010 | |
| contenttype | Fulltext |