Forecasting of excavation problems for high-rise building in Vietnam using planet optimization algorithm.

Area of Science:

• Geotechnical Engineering
• Computational Mechanics
• Predictive Modeling

Background:

• Diaphragm walls are critical for high-rise building stability during excavation.
• Accurate prediction of wall displacement is essential for preventing structural damage and ensuring safety.
• Existing methods may lack precision in complex soil conditions.

Purpose of the Study:

• Introduce a novel method for forecasting horizontal diaphragm wall displacement.
• Validate the Planet Optimization Algorithm (P.O.A.) against field data using finite element simulations.
• Enhance the accuracy of predictive models for deep excavations.

Main Methods:

• Developed a new stochastic optimizer: Planet Optimization Algorithm (P.O.A.).
• Integrated P.O.A. with finite element (F.E.) simulations in PLAXIS using Python scripting.
• Implemented a two-step process: parameter optimization in early phases and displacement forecasting in subsequent phases.

Main Results:

• Successfully assessed the suitability of F.E. simulations against field data.
• Demonstrated a smooth operation between the P.O.A. and F.E. simulations for complex soil problems.
• Achieved accurate forecasting of diaphragm wall displacements for phased excavations.

Conclusions:

• The proposed method offers accurate prediction of diaphragm wall displacements from nearby excavations.
• Provides early warnings for potential excavation risks during critical construction phases.
• Presents an effective approach for optimization-based soil parameter updating in real-world engineering.