Developing a Model Using Multiple Linear Regression Analysis to Estimate Maximum Jacking Load in Pipe Jacking Projects Babak Mamaqani 1 1 University of Texas at Arlington, Center of Underground Infrastructure Research and Education, Box 19308, Arlington, TX; PH (817)272-9164; email:babak.hajimohammadhasan@mavs.uta.edu Abstract Trenchless technology is a method to install pipe or utility underground with little or no surface disruption. Pipe jacking is one of the trenchless technology methods that use the thrust power of a hydraulic jack to propel each segment of pipe or utility through the ground. Maximum jacking force needs to be determined before a pipe jacking project starts so all segments can be pushed through the ground successfully. Maximum jacking load (MJL) depends on so many factors. Among them, four factors namely, diameter of pipe, length of pipe, friction factor and depth of pipe from surface are studied and their relations with maximum pipe jacking load are evaluated. Totally, 19 data are gathered from different pipe jacking projects. Finally, a model using multiple linear regression (MLR) analysis is developed that can be used to estimate the maximum jacking load. It is concluded that interaction terms of length and friction factor has the most effect on determining maximum pulling load. Then, it is diameter of the pipe that has significant impact of maximum jacking load. Also, it is noticed that depth of the pipe from the surface does not impact maximum jacking load.