Piezocone and Cone Penetration Test (CPTu and CPT) Applications in Foundation Engineering

Erscheinungsjahr 2019
ISBN: 978-0-08-102766-0
Verlag: Elsevier Science & Technology

Buch, Englisch, 390 Seiten, Format (B × H): 228 mm x 154 mm, Gewicht: 636 g

Piezocone and cone penetration tests (CPTu and CPT) applications in foundation engineering includes different approaches for determining the bearing capacity of shallow foundations, along with methods for determining pile bearing capacity and settlement concepts. The use of soft computing (GMDH) neural networks related to CPT records and Geotechnical parameters are also discussed. In addition, different cases regarding the behavior of foundation performance using case records, such as shallow foundation, deep soil improvement, soil behavior classification (SBC), and bearing capacity are also included.

Autoren/Hrsg.

Eslami, Abolfazl

Moshfeghi, Sara

MolaAbasi, Hossein

Eslami, Mohammad M.

Fachgebiete

• Geowissenschaften Geologie Geotechnik
• Technische Wissenschaften Bauingenieurwesen Erd-, Tief- und Straßenbau
• Technische Wissenschaften Bauingenieurwesen Boden- und Felsmechanik, Geotechnik

Inhaltsverzeichnis

1. Geotechnical engineering
2. Background to foundation engineering
3. CPT equipment, performance, and records
4. Geotechnical parameters from CPT records
5. Soil behavior classification (SBC) using CPT and CPTu records
6. CPT in foundation engineering; scale effect and bearing capacity
7. CPT and CPTu applications for deep foundationebearing capacity
8. CPT and CPTu for foundation settlement and loadedisplacement (P?) estimation
9. CPT & CPTu for ground modification
10. CPT-based soft computing implementations in foundation engineering
11. Uncertainty and reliability in foundation engineering: CPT-Based approach
12. CPT and CPTu databases in foundation engineering

Über Autor(innen)

Eslami, Mohammad M.
Mohammad M. Eslami, Department of Civil and Environmental Engineering, University of California, Los Angeles

MolaAbasi, Hossein
Hossein MolaAbasi received his MSc and PhD in Geotechnical Engineering from the University of Guilan and Babol University of Technology, Iran, in 2010 and 2016 respectively, and he works as an Assistant Professor at Gonbad University. He is currently working on the soil improvement, particularly zeolite or/ and cement improved soils, the basis of which is laboratory-based and has a noticeable number of students in this field. He has published numerous articles which subjects revolve around the experimental tests that can be found in Google Scholar. Furthermore, he seeks to develop a relationship based on neural networks in his articles.

Eslami, Abolfazl
Abolfazl Eslami, Professor, Department of Geotechnical Engineering, Amirkabir University of Technology, Tehran, Iran.

Moshfeghi, Sara
Sara Moshfeghi, Department of Geotechnical Engineering, Amirkabir University of Technology, Tehran, Iran