In inverse modeling, a model is calibrated by iteratively changing the estimates of its input parameters until the value of an objective function, which quantifies the errors between observed data and computed results, is minimized. This book (the Authors PhD Thesis, defended in 2002 at Northwestern University) presents a numerical procedure that improves the state-of-the-practice of controlling ground movements associated with excavations. The methodology, developed and tested using data from a deep excavation through Chicago glacial clays, shows that: inverse analysis based on...