Statistical to Fuzzy Approach toward CPT Soil Classification
By Zhongjie Zhang, M. Tumay. 2000
178 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/03c1a4d6c51b24d89903c86cf694d6d6ef834206
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Kok-Kwang Phoon
- Dianqing Li
- Z. Cao
- Shuo Zheng
- P. Robertson
- Xiao-Song Tang
- Jianye Ching
- Chuangbing Zhou
In Safety, Risk, Reliability and Quality
- Kok-Kwang Phoon
- Dianqing Li
- Z. Cao
- Shuo Zheng
- P. Robertson
- Xiao-Song Tang
- Jianye Ching
- Chuangbing Zhou
Citations in the corpus
- Performance of SVM classifier for image based soil classification (2016, background): “This contains information about the least mean square error, back propagation …etc. Fuzzy measure is used as base for aggregating the correlation between relative densities and CPT.”
- Bayesian identification of soil stratigraphy based on soil behaviour type index (2019, methodology): “0 m (see Figure 6), the site consists of a sequence of sandy clay, clay, silty clay, and clay with silt seams (Zhang and Tumay 1999), and the groundwater table is at about 6.”
- Interpretation of cone penetration tests — a unified approach (2009, background): “Zhang and Tumay (1999) developed a CPT-based soil classification system based on fuzzy logic where the results are presented in the form of percentage soil type (e.g., percentage; clay, silt, and sand size).”