FINITE ELEMENT NUMERICAL STUDY OF ELASTOPLASTIC AND ELASTOVISCOPLASTIC CRITICAL STATE STATE SOIL MODEL COMPARED WITH INCLINOMETER MONITORING RESULTS

• Main Author: Taufik Nurrohman, Feby
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/71141
• Institution: Institut Teknologi Bandung

The land behavior study is taking place on one of the sections of the Balikpapan - Samarinda Toll Road in East Kalimantan. A soft soil layer with a compressible layer depth of up to 14 m has been identified at this location. The location was treated with a soft soil improvement method consisting of a vacuum + surcharge design (2-3 m), and piezometer monitoring results revealed that the Pore Water Pressure had been completely dissipated. As a result, the vacuum's implementation is declared complete. However, when the road pavement was installed, an elongated crack appeared, necessitating lateral reinforcement with the installation of borepile structure (soldier pile). The section has been completed and is fully functional, but field observation monitoring confirms that there is still a decrease in the same location as the crack line prior to borpile reinforcement. A reverse analysis method is used to model field conditions as an initial condition with a safety factor value of one, also known as a critical condition. Soil parameters from both laboratory and field tests are used to model these conditions, and simulations are completed using finite element software to verify the validity of the lab results. Going to verify vertical and lateral deformations from simulation results against monitoring inclinometer results to ensure data accuracy. In this case, the constitutive models that used study soil behavior are Mohr Coloumb, Soft Soil, and Soft Soil Creep. The results of this soil behaviour patterns research showed that the Soft Soil Creep constitutive model generates more precise and reliable lateral deformation results than other constitutive models. It's also strongly advised to use advanced soil model parameters such as Soft Soil Creep or Soft Soil for design optimization.