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A New Data Interpretation Approach for Pile Therma ...
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The paper presents a staged approach to interpreting thermal integrity profiling (TIP), a pile-testing method that uses heat generated during concrete curing to identify possible defects. Because conventional TIP interpretation relies largely on experience and temperature anomalies can have multiple causes, the authors combine measured temperature data with finite-element (FE) modelling.<br /><br />The approach was tested on a 20 m continuous-flight-auger pile containing three deliberately placed inclusions. In Stage 1, one-dimensional FE models accounted for concrete and soil thermal properties to relate peak temperature to concrete cover. This relationship was used to estimate effective pile radius along the shaft and reconstruct its three-dimensional shape, highlighting regions of potential necking or expansion. The estimated pile volume was close to the recorded concrete consumption.<br /><br />In Stage 2, two-dimensional FE models examined selected cross-sections. Simulated temperatures for different assumed defect locations and sizes were compared with field measurements, and the best-fitting configuration was selected. The method accurately estimated the size and location of two inclusions, each occupying about 9% of the cross-section, but did not detect the smallest inclusion, which occupied 3%.<br /><br />The staged process progressively provides information about anomaly location, size and shape, allowing engineers to decide whether further investigation is warranted based on risk. The results suggest that combining TIP data with FE analysis can improve defect assessment soon after construction, potentially enabling timely and lower-cost remedial work. Further development, including three-dimensional modelling and optimisation algorithms, is proposed.
Keywords
thermal integrity profiling
pile testing
finite element modelling
concrete defects
temperature anomaly
continuous flight auger pile
defect detection
pile integrity assessment
concrete curing heat
thermal profiling interpretation
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