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<p>This research examines the ultimate load-carrying capacity of piles using both static and dynamic load testing, with a primary focus on full-scale driven precast piles. In this investigation, dynamic load testing was done on two driven pre-cast piles, which were analyzed using Case Pile Wave Analysis Program (CAPWAP). Simultaneously, static load tests were assessed using various methodologies such as Davisson, Butler and Hoy, British Standard, and the Bangladesh National Building Code (BNBC-2020). Additionally, capacity estimations derived from soil investigation data were evaluated using BNBC-2020 methods. In this research, pile load capacities are predicted and correlations are established by comparing the static and dynamic load test results. Ten cast-in-situ and fifteen precast pile data has been used to form the dataset, where in each instance, pile characteristics, CAPWAP capacities, and site-specific soil investigation findings were present for analysis. The results indicate a strong agreement between predicted capacities based on static methods and those determined through CAPWAP analysis. Specifically, the CAPWAP capacity was found to be approximately 1.10 times the static capacity (r<sup>2</sup> = 0.81) when using BNBC-2020 methods, and 1.06 times the static capacity (r<sup>2</sup> = 0.77) for the SPT-based method. Similar favorable correlations were observed for cast-in-situ piles, including those based on AASHTO-2002 and SPT-based capacities. CAPWAP was 1.15 times static capacity (r<sup>2</sup> = 0.81), 0.91 times AASHTO-2002 (r<sup>2</sup> = 0.92), and 1.04 times SPT-based capacity (r<sup>2</sup> = 0.89). This shows CAPWAP gives results close to other methods. The findings highlight that dynamic testing, particularly CAPWAP analysis, serves as a reliable approach for estimating pile capacity and can complement traditional static methods. Future research will aim to refine these correlations for improved predictive accuracy and examine the influence of varying soil conditions on pile performance. These insights will assist engineers and researchers in enhancing foundation design methodologies, optimizing construction practices, and promoting cost-effective pile solutions.</p>

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Comparative Evaluation of Pile Load Capacity Using Static and Dynamic Tests

  • 期刊论文

  • 发表日期：

    2025年6月21日

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  • Zamiul Ahmed,
  • Shoma Hore,
  • Mushfika Ansary,
  • Ripon Hore,
  • Mehedi A. Ansary

摘要

This research examines the ultimate load-carrying capacity of piles using both static and dynamic load testing, with a primary focus on full-scale driven precast piles. In this investigation, dynamic load testing was done on two driven pre-cast piles, which were analyzed using Case Pile Wave Analysis Program (CAPWAP). Simultaneously, static load tests were assessed using various methodologies such as Davisson, Butler and Hoy, British Standard, and the Bangladesh National Building Code (BNBC-2020). Additionally, capacity estimations derived from soil investigation data were evaluated using BNBC-2020 methods. In this research, pile load capacities are predicted and correlations are established by comparing the static and dynamic load test results. Ten cast-in-situ and fifteen precast pile data has been used to form the dataset, where in each instance, pile characteristics, CAPWAP capacities, and site-specific soil investigation findings were present for analysis. The results indicate a strong agreement between predicted capacities based on static methods and those determined through CAPWAP analysis. Specifically, the CAPWAP capacity was found to be approximately 1.10 times the static capacity (r2 = 0.81) when using BNBC-2020 methods, and 1.06 times the static capacity (r2 = 0.77) for the SPT-based method. Similar favorable correlations were observed for cast-in-situ piles, including those based on AASHTO-2002 and SPT-based capacities. CAPWAP was 1.15 times static capacity (r2 = 0.81), 0.91 times AASHTO-2002 (r2 = 0.92), and 1.04 times SPT-based capacity (r2 = 0.89). This shows CAPWAP gives results close to other methods. The findings highlight that dynamic testing, particularly CAPWAP analysis, serves as a reliable approach for estimating pile capacity and can complement traditional static methods. Future research will aim to refine these correlations for improved predictive accuracy and examine the influence of varying soil conditions on pile performance. These insights will assist engineers and researchers in enhancing foundation design methodologies, optimizing construction practices, and promoting cost-effective pile solutions.