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Thesis

Dynamics of Pile Testing

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Pile foundations are essential elements in civil engineering infrastructure because they stabilize buildings and bridges with offshore platforms. The intensifying construction work in difficult ground conditions requires precise fundamental capacity and behavior evaluation of these foundations. However, Static load tests (SLTs) used in the industry to determine pile capacities involve unnecessarily large time and monetary resources. A sufficient testing area is needed for these tests, exposing them to places that might be spatially restricted. Given the limitations of the traditional testing methods, dynamic pile testing, especially high-strain dynamic pile testing (HSDPT), has emerged as a potential alternative. The technique measures stress and velocity waves that detect real-time pile behavior during real-time installation in the time domain using real-time data acquisition systems under dynamic load conditions. According to Huang et al. (2025), HSDPT carries out its testing procedures to provide cost-efficient and time-efficient evaluations of pile capacity. By blending the numerical models and ML techniques, sources of innovations have brought dynamic testing. The new technological enhancements lead to the prediction of better pile behavior due to the assessment of soil-pile interaction variables. It is stated in the paper that the machine learning models studied by Li et al. (2025) and others, such as XGBoost, can improve forecasting accuracy by analyzing the complex pile-soil dynamics. Adding such comprehensive soil-water coupling models allows dynamic testing to be more effective in assessing high-speed rail (HSR) infrastructure built on a soft foundation. The pile-testing methods are researched, and dynamic processes, particularly new research achievements, have improved pile-testing technology. This paper investigates the use of finite element analysis (FEM) alongside machine learning predictions for pile response assessment. The following section will include examples of how dynamic pile testing was effectively deployed for civil engineering projects.

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Dynamics of Pile Testing




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Abstract


The evaluation of piles within foundations depends heavily on dynamic testing as part of the pile

testing procedures. Research efforts today concentrate on developing pile test techniques that

provide better accuracy and reduced costs for pile evaluation systems. Systematic research on

pile testing will examine numerical modeling, machine-learning technologies, and high-strain

dynamic pile tests (HSDPT). Recent studies demonstrate the growth of testing protocols, their

usage for soft soils, and machine-learning capabilities for pile measurements. Numerous case

analyses of infrastructure projects at high-speed railways and bridges demonstrate the valuable

advantages of dynamic testing procedures. The paper includes final recommendations designed

to increase the accuracy and reliability of pile testing when performed on-site.

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Uploaded on
July 19, 2025
Number of pages
15
Written in
2024/2025
Type
Thesis
Supervisor(s)
Alexander
Year
Unknown
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