Machine learning shear wave velocity prediction based on multi-channel analysis of surface wave
Shear Wave Velocity (Vs) profile plays a crucial part in determining seismic site classification. However, field measurement incurs extra cost and time. Economic factors urge the need for a cheaper and faster alternative. Previous studies proposed the use of empirical equations, however there are gr...
Saved in:
Main Author: | Upom, Mark Ruben |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/102258/1/MarkRubenUpomMSKA2021.pdf.pdf http://eprints.utm.my/id/eprint/102258/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:145643 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of shear wave velocity in underground layers using particle swarm optimization
by: Upom, M. R., et al.
Published: (2019) -
Investigation of Shear Wave Velocity by Using Multi-Channel Analysis of Surface Wave Method for Microzonation Map Development and Its Application to Industrial Frame Structures
by: Nazri, Fadzli Mohamed, et al.
Published: (2018) -
Study of behbahan city velocity waves shear
by: Zolfegharifar, S. Y., et al.
Published: (2016) -
Estimation of shear wave velocity using 1-D Multichannel Analysis of Surface Waves (MASW) and shear modulus of peat
by: Basri, Kasbi, et al.
Published: (2018) -
The potential of shear wave velocity as an erosion risk index
by: Abd. Rahman, Norinah, et al.
Published: (2022)