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Demonstrating the Reliability of the PileLAT Program

  • Sep 28, 2025
  • 2 min read

Updated: Feb 21

Validation Against High-Quality Field Data


To demonstrate the reliability of our PileLAT program, we modeled the full-scale single pile lateral load test documented by Christensen (2006) at Brigham Young University. This benchmark case provided an excellent opportunity to validate the program against high-quality field data, with results that closely matched the measured responses.


Overview of the Study


In this study, a steel test pile was subjected to incremental lateral loads in interbedded sand and clay layers. The load–deflection response and bending moment distribution along the pile were carefully measured and published, providing an excellent reference for numerical modeling.


Modeling Soil-Pile Interaction


Using PileLAT, we modeled the soil–pile interaction with appropriate nonlinear p–y curve formulations. The computed lateral deflections and bending moments compared well with the field test results. This demonstrates both the reliability and efficiency of the software in capturing soil–structure response under lateral loading.


Pile Specifications


The length of the pile from the load point to the toe is 16.6 m. The horizontal load is applied at a height of 0.48 m above the ground surface. The cross-section of the pile is a circular pipe with a thickness of 0.0095 m and an outer diameter of 0.324 m. The total moment of inertia (I) for the pile is 1.43 x 10^8 mm^4 based on Christensen (2006), considering two angle irons attached to the north and south sides of the piles. The elastic modulus is assumed to be 200 GPa.


Soil Properties and Parameters


The table below is extracted from Christensen (2006) for the soil layers and soil properties used in the PileLAT program.


PileLAT Soil Parameters for p-y curve models
PileLAT Soil Parameters for p-y curve models

The detailed ground profile and pile length modeled in the PileLAT program is shown in the figure below.



The inputs of the soil layers and p-y curve model parameters are defined with the dialog below in the PileLAT program:



Load-Deflection Curve Analysis


The calculated load–deflection curve from PileLAT is presented in the figure below, together with the measured field test results and the LPILE analysis results reported by Christensen (2006). The close agreement between the PileLAT and LPILE curves indicates that PileLAT is able to closely reproduce the observed behavior, with results consistent with those obtained from established analysis methods.



Bending Moment Distribution


The following figures present the distribution of bending moment along the pile depth for three analysis cases corresponding to pile head deflections of 19 mm, 25 mm, and 51 mm. The results indicate that the bending moment profiles computed using PileLAT are in close agreement with the reference calculations and testing results reported by Christensen (2006).



Conclusion


This case study demonstrates that our PileLAT program is suitable not only for practical geotechnical design applications but also as a reliable tool for academic benchmarking against high-quality field test data. The results reinforce the program’s versatility and value for both practicing engineers and researchers involved in the analysis of laterally loaded piles.


Reference


Christensen, D. (2006), “Full Scale Static Lateral Load Test of a 9 Pile Group in Sand.” BYU Scholars Archive.


For more information on the PileLAT program, visit our website.

1 Comment


I found the article about validating PileLAT with the Christensen 2006 test really interesting because it shows how engineers compare software results with real field data to check if the model is reliable. The study used a full-scale lateral load test on a single pile to see how the soil and pile behave under side loads, which helps improve geotechnical design accuracy.  I remember during a tough semester I even searched for need help with my online exam when I was overwhelmed with coursework. Reading posts like this reminds me how testing and learning from real data is important in engineering.

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