Texas cone penetrometer foundation design method: Qualitative and quantitative assessment

Author:

Moghaddam Rozbeh B.1ORCID,Jayawickrama Priyantha W.2,Lawson William D.2,Surles James G.3,Seo Hoyoung2

Affiliation:

1. GRL Engineers, Inc., 30725 Aurora Road, Cleveland, OH 44139, USA

2. TechMRT: Multidisciplinary Research in Transportation, Texas Tech University, Box 41023, Lubbock, TX 79409-1023, USA

3. Department of Mathematics and Statistics, Texas Tech University, Box 41042, Lubbock, TX 79409-1042, USA

Funder

Texas Department of Transportation

Publisher

Deep Foundations Institute

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Applications of Machine Learning to Foundation Design for Transportation Structures;Transportation Research Record: Journal of the Transportation Research Board;2022-09-20

2. The story of statistics in geotechnical engineering;Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards;2019-12-09

3. Characterisation of geotechnical model uncertainty;Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards;2019-03-01

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