A python-based visualization and characterization of the subsurface underlying a subway alignment in Metropolitan Manila, Philippines | |
| Author | Peña, Elaine Marie Zipagan |
| Call Number | AIT Thesis no.GE-22-08 |
| Subject(s) | Subway--Philippines--Manila--Design and construction Python (Computer program language) Engineering geology--Philippines--Manila |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Geotechnical and Earth Resources Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | This study aimed to construct a 2D ground model for visualization and characterization of the central zone of the Metro Manila subway using self-developed Python codes. The study has specific objectives to reanalyze geotechnical and geophysical data, generate 2D contoured digital models of different parameters, and assess the site's vulnerability to seismic liquefaction. The study's scope involved reviewing project information and the geological and tectonic setting of Metro Manila, collecting data from 60 geophysical and 136 geotechnical boreholes, and constructing 2D ground models of different parameters, such as seismic velocities and their derivatives, uniaxial compressive strength, water content, unit weight, friction angle, cohesion, static elastic modulus, and dynamic properties (shear modulus, bulk modulus, Poisson's ratio, acoustic impedance, and Lame’s Constant.) By using newly developed Python codes, 16 subsurface profiles of various geotechnical and geophysical parameters were constructed that revealed wide variations in subsurface properties, supplementing the existing soil profile to aid end-users in subsoil visualization and characterization. Refining the interpolation grids had a noticeable effect on the contours of the 2D profiles being produced, with the type of interpolation used depending on the end-user's preference, the type of data contoured, and the distance of sampling points. Rock Physics Diagnostic charts constructed from Vs-based assessment for the site's factor of safety to liquefaction showed that liquefiable materials (FoS≤1) have values of Vp/Vs ranging 4-6, with values of dynamic shear modulus (G) ranging from 0.020-0.35 GPa. Overall, this study demonstrated the usefulness of Python in visualization and characterization of ground model and assessing seismic hazards for the subsurface profile underlying the Metro Manila subway project. The study's contribution lies in generating value-added subsurface profiles to supplement the existing conventional geotechnical soil profile for end-users. Additionally, the study's findings could be useful for engineering firms, contractors, and government agencies involved in the construction of underground structures in similar geological conditions. |
| Year | 2023 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Geotechnical Engineering (GE) |
| Chairperson(s) | Avirut Puttiwongrak;Pham Huy Giao (Co-Chairperson) |
| Examination Committee(s) | Kuo-Chieh Chao;Noppadol Phien-Wej |
| Scholarship Donor(s) | AMH Philippines Inc.;Asian Institute of Technology Fellowships |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2023 |