Prediction of shear wave velocity in underground layers using particle swarm optimization
Shear wave velocity (Vs) is considered a key soil parameter in the field of earthquake engineering. The time-averaged shear wave velocity in the upper 30 m (Vs30) layer of soil is used to classify seismic site class. In-situ Vs test is sometimes unsuitable to the project's need due to financial...
Main Authors: | Upom, M. R., Asmawisham Alel, M. N., Ab. Kadir, M. A., Yuzir, A. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://eprints.utm.my/90002/1/MarkRubenUpom2019_PredictionofShearWaveVelocity.pdf |
Similar Items
-
Machine learning shear wave velocity prediction based on multi-channel analysis of surface wave
by: Upom, Mark Ruben
Published: (2021) -
Study of behbahan city velocity waves shear
by: Zolfegharifar, S. Y., et al.
Published: (2016) -
Integrated geophysical and geotechnical investigation using machine learning techniques
by: Alel, Mohd. Nur Asmawisham
Published: (2022) -
Performance of low and medium-rise steel frames under low intensity earthquake
by: Alel, Mohd. Nur Asmawisham
Published: (2002) -
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)