Chapter
Dec 27, 2013
Artificial Neural Network Model for Evaluating Gravelly Soils Liquefaction Using Shear Wave Velocity
Authors: F. Kang [email protected], J. J. Li [email protected], and H. Zhou [email protected]Author Affiliations
Publication: International Efforts in Lifeline Earthquake Engineering
Abstract
Evaluation of liquefaction potential of soil is important in geotechnical earthquake engineering. Significant phenomena of gravelly soil liquefaction in the 2008 Wenchuan earthquake were reported. Thus, further studies on the liquefaction potential of gravelly soil are needed. This paper investigates the potential of an artificial neural networks-based approach to assess the liquefaction potential of gravelly soils form actual shear wave velocity field data. The success rates for occurrence and non-occurrence of liquefaction cases in Wenchuan earthquake could be up to 100% and 94%, respectively. The study suggests that neural networks can successfully model the complex relationship between seismic parameters, soil parameters, and the liquefaction potential of gravelly soils.
Get full access to this article
View all available purchase options and get full access to this chapter.
Information & Authors
Information
Published In
Copyright
© 2014 American Society of Civil Engineers.
History
Published online: Dec 27, 2013
Permissions
Request permissions for this article.
ASCE Technical Topics:
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Continuum mechanics
- Dynamics (solid mechanics)
- Earthquakes
- Engineering fundamentals
- Engineering mechanics
- Flow (fluid dynamics)
- Fluid dynamics
- Fluid mechanics
- Fluid velocity
- Geohazards
- Geomechanics
- Geotechnical engineering
- Geotechnical models
- Hydrologic engineering
- Models (by type)
- Neural networks
- Sandy soils
- Seismic waves
- Shear stress
- Shear waves
- Soil liquefaction
- Soil mechanics
- Soil properties
- Soils (by type)
- Solid mechanics
- Stress (by type)
- Structural analysis
- Structural engineering
- Water and water resources
- Wave velocity
- Waves (mechanics)
Authors
Affiliations
School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China. E-mail: [email protected]
School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China. E-mail: [email protected]
School of Urban Construction, University of South China, Hengyang, Hunan 421001, China. E-mail: [email protected]
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
View Options
Get Access
Access content
Please select your options to get access
Log in/Register
Log in via your institution (Shibboleth)
ASCE Members:
Please log in to see member pricing
Purchase
Save for later Item saved, go to cart Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Get Access
Access content
Please select your options to get access
Log in/Register
Log in via your institution (Shibboleth)
ASCE Members:
Please log in to see member pricing
Purchase
Save for later Item saved, go to cart Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.