DEVELOPMENT OF ULTIMATE BEARING CAPACITY CORRELATION MODEL BETWEEN STATIC LOADING TEST (SLT) AND PILE DRIVING ANALYZER (PDA) IN WEST JAVA WITH CONSIDERING MODEL’S UNCERTAINTY

• Main Author: Ricky Ferdian, Muchammad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/74116
• Institution: Institut Teknologi Bandung

<p align="justify">Foundation planning is one of the important things to consider in designing an infrastructure, one of which is testing to obtain the ultimate bearing capacity value, namely static (Static Loading Test or SLT) and dynamic (Pile Driving Analyzer or PDA) testing. In general, testing with SLT is more expensive and time consuming than testing with PDA. However, it can produce better accuracy. Therefore, in this final project, the correlation between the ultimate bearing capacity value based on SLT and the ultimate bearing capacity value based on PDA along with the pile length data and NSPT data will be sought. In this final project, the data used comes from a toll road construction project in West Java. From these data, a correlation will be determined in the form of regression between the selected independent variables (i.e., 1/3 NSPT of the middle section, NSPT of the tip as far as 4 times the diameter below the pile, pile length, and ultimate bearing capacity from PDA) with the dependent variable (i.e., ultimate bearing capacity from SLT). Furthermore, linear and nonlinear regression will be obtained. Then, the characteristics of the regression model and the amount of uncertainty in the form of data deviation measures will be quantified as a consideration to determine the best model. The obtained linear regression is ???? = 180.863 + 11.645(????2) ? 1.388(????6) ? 14.356(????9) + 0.918(????10). For the nonlinear regression model, the regression form is ???? = ?0.7649(????1) ? 0.1537(????2) + 0.9490(????3) + 0.9283(????4) ? 17.5599 with ????1 = 62.896 ln(????2) + 1253.1; ????2 = 22.792(????2)1.1403; ????3 = ?2.2523(????9)2 + 122.03(????9) ? 1.1767; ????4 = ?0.0000002(????10)3 + 0.0004(????10)2 + 0.9183(????10) ? 19.946. Where X2 is the NSPT value at the middle 1/3 of the pile, X6 is the NSPT value 4 times the diameter below the pile tip, X9 is the pile length, and X10 is the ultimate bearing capacity of the pile based on PDA. By considering the characteristics and uncertainty magnitude of the regression model, it can be concluded that the nonlinear model is better than the linear model. With good enough characteristics, the regression model obtained can be used as a consideration in determining the number of SLT and PDA tests in the field.