No abstract

The basement of a high-rise building is the optimal space for technical systems and parking. However, the construction in narrow urban areas usually has many unstable hazards. In this study, a numerical model has been established and calibrated using the finite element method on Plaxis 2D software that allowed well control of the design and construction processes of the Madison Building basement. The model covers all structural elements and complex engineering geology conditions. Displacements of the excavation wall and surrounding ground base subsidence were analyzed corresponding to the constructive phases of three basements. The analysis results of the numerical model were consistent with the actual construction process that is useful for design and constructive controlling of the excavation wall.

The main objectives of this research are to provide a new approach for flash flood prediction in Lao Cai, where frequent typhoons happen. This method is based on the Random Forest classification algorithm. The researcher applied GIS database in combination with construction machine learning model and verified the forecasting model, extracted the data based on field survey of the flash flood area of Lao Cai and GIS (Geographic Information System). The results have proved that the model can be a useful tool for flash flood forecasting model, providing more data for land planning and management for preventing and predicting flash flood for Lao Cai area.

In this study, the approaches and research methods have been proposed based on the analysis of challenges in modeling, establishing a three-dimensional model of geological engineering conditions of the Hanoi area. The three-dimensional model of the Hanoi area was composed of 21 geological engineering units as a stacked structure, with accuracy and reliability were verified by statistical evaluation. Based on the integration of engineering geological attributes, the model has contributed for reconstruction of the geospatial engineering geological structure of the study area as comprehensive, continuously, and high resolution.