Application of artificial intelligence techniques for the verification of pile capacity at construction site: A review
In the construction industry, piling is part of foundation system that supports the constructed structures. There are various types of piles that can be designed and constructed such as bored piles, micropiles, spun piles, and pre-cast reinforced concrete square piles. Ground conditions and costs...
Saved in:
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Book Chapter |
| Language: | English |
| Published: |
Elsevier
2023
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/44868/1/14-book%20chapter.pdf http://ir.unimas.my/id/eprint/44868/ https://shop.elsevier.com/books/applications-of-artificial-intelligence-in-mining-and-geotechnical-engineering/nguyen/978-0-443-18764-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Sarawak |
| Language: | English |
| Summary: | In the construction industry, piling is part of foundation system that supports the constructed structures. There are various types of piles that can be designed and constructed such as bored piles, micropiles, spun piles, and pre-cast reinforced concrete square piles. Ground conditions and costs are two main factors to decide the piling system to adopt in the construction. Prior to the construction of piling, theoretical design of the piles is required to identify the capacity of pile based on the subsurface investigation works information. |
|---|