Chrome Extension
WeChat Mini Program
Use on ChatGLM

Large-Displacement Interface Shear Between Steel and Granular Media

T. Y. K. Ho,R. J. Jardine, N. Anh-Minh

Geotechnique(2011)SCI 1区SCI 2区

Govt Hong Kong Special Adm Reg | Univ London Imperial Coll Sci Technol & Med

Cited 95|Views7
Abstract
A systematic study is reported of the behaviour of graded silica sands and a silica rock flour silt, sheared against steel interfaces. Ring shear experiments investigated the influences of interface position, displacement scale, normal stress level and particle size distribution on ultimate interface friction angle, [Formula: see text]. Grain crushing is shown to play an important role within a concentrated shear zone, and this process, along with changes in the roughness of the interface, could lead to δ′ values markedly different from those developed in conventional small-displacement direct shear tests. It is also shown that δ′ measurements at smaller displacements may depend on whether the interface is mounted above or below the sample, but that such differences diminish to zero when displacements are large. The finding that δ′ is strongly displacement-dependent over the single-millimetre to multiple-metre scale has many practical geotechnical engineering implications.
More
Translated text
Key words
laboratory tests,piles,soil/structure interaction
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
J. G. Potyondy
2015

被引用513 | 浏览

H KISHIDA, M UESUGI
1987

被引用304 | 浏览

TE Tika,PR Vaughan, LJLJ Lemos
1996

被引用194 | 浏览

AW BISHOP, GE GREEN, VK GARGA, A ANDRESEN, JD BROWN
1971

被引用462 | 浏览

, , ,
2005

被引用262 | 浏览

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest