Determination of the Geotechnical Parameters of Soils Behavior for Safe Future Urban Development, Najran Area, Saudi Arabia: Implications for Settlements Mitigation-Reference-Cited by-同舟云学术

Determination of the Geotechnical Parameters of Soils Behavior for Safe Future Urban Development, Najran Area, Saudi Arabia: Implications for Settlements Mitigation

Published:2019-09-18 Issue:1 Volume:38 Page:695-712
ISSN:0960-3182
Container-title:Geotechnical and Geological Engineering
language:en
Short-container-title:Geotech Geol Eng

Author:

Abd El Aal Ahmed K.^ORCID,Rouaiguia Ammar

Publisher

Springer Science and Business Media LLC

Subject

Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture

Link

http://link.springer.com/content/pdf/10.1007/s10706-019-01058-x.pdf

Reference38 articles.

1. AASHTO T180 (2001) Modified method of test for the moisture-density relations of soils. Washington, DC

2. ANSI/IEEE Std 81 (1983) The Institute of Electrical and Electronics Engineers. New York

3. ASTM D 1557-12 (2012) Standard test methods for laboratory compaction characteristics of soil using modified effort. West Conshohocken

4. ASTM D4643-08 (2008) Standard test method for determination of water (moisture) content of soil by microwave oven heating. ASTM International, West Conshohocken

5. Bowles JE (1988) Foundation analysis and design, 4th edn. McGraw-Hill, New York

Cited by 11 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. Collapsible characteristics and prediction model of remodeled loess;Natural Hazards;2024-09-04

2. Collapsible characteristics and prediction model of remodeled loess;2024-02-20

3. Numerical simulation and diagnosis geotechnical parameters of historical buildings in Najran City, Kingdom of Saudi Arabia;Scientific Reports;2023-10-08

4. Sustainable Impact of Coarse Aggregate Crushing Waste (CACW) in Decreasing Carbon Footprint and Enhancing Geotechnical Properties of Silty Sand Soil;Applied Sciences;2023-10-02

5. A Comparative Analysis of Machine Learning Models for Predicting Loess Collapse Potential;Geotechnical and Geological Engineering;2023-08-13