Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 04023020 |
| Fachzeitschrift | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering |
| Jahrgang | 9 |
| Ausgabenummer | 3 |
| Frühes Online-Datum | 5 Juni 2023 |
| Publikationsstatus | Veröffentlicht - Sept. 2023 |
Abstract
Properties of geomaterials often exhibit stratification and anisotropy due to various influencing factors such as weathering and sedimentation. However, the measurement of anisotropy is a difficult task since anisotropy not only depends on the direction but also varies with scale. In the current study, hydraulic conductivity is considered a typical geomaterial property and simulated by random field theory. A novel method based on two-dimensional and three-dimensional analytical expressions is proposed to estimate the apparent hydraulic conductivity (k) in different directions and determine the corresponding anisotropic ratios. A series of simulation tests on specimens with various dimensions from one strong anisotropy site are also performed via the finite element method. The analytical solutions of the proposed method are verified by numerical results. Results indicate that the anisotropic ratio shows a substantial sensitivity to the sample scale. A decrease in sample scale can result in the reduction of the anisotropic ratio; as a result, k gradually approaches to a point level's value, and the effect of anisotropy decreases. This work not only sheds light on the gap between the laboratory results and the field's inherent properties but also provides guidelines on upscaling small-scale (e.g., laboratory scale) results to field-scale applications.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Tief- und Ingenieurbau
- Ingenieurwesen (insg.)
- Bauwesen
- Ingenieurwesen (insg.)
- Sicherheit, Risiko, Zuverlässigkeit und Qualität
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in: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Jahrgang 9, Nr. 3, 04023020, 09.2023.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Scale Effect on the Apparent Anisotropic Hydraulic Conductivity of Geomaterials
AU - Li, Kai Qi
AU - Chen, Guan
AU - Liu, Yong
AU - Yin, Zhen Yu
N1 - This research is supported by the National Natural Science Foundation of China (Grant No. 52079099), and the International Joint Research Platform Seed Fund Program of Wuhan University (Grant No. WHUZZJJ202207). Guan Chen would like to thank the financial support of the Sino-German (CSC-DAAD) Postdoc Scholarship Program.
PY - 2023/9
Y1 - 2023/9
N2 - Properties of geomaterials often exhibit stratification and anisotropy due to various influencing factors such as weathering and sedimentation. However, the measurement of anisotropy is a difficult task since anisotropy not only depends on the direction but also varies with scale. In the current study, hydraulic conductivity is considered a typical geomaterial property and simulated by random field theory. A novel method based on two-dimensional and three-dimensional analytical expressions is proposed to estimate the apparent hydraulic conductivity (k) in different directions and determine the corresponding anisotropic ratios. A series of simulation tests on specimens with various dimensions from one strong anisotropy site are also performed via the finite element method. The analytical solutions of the proposed method are verified by numerical results. Results indicate that the anisotropic ratio shows a substantial sensitivity to the sample scale. A decrease in sample scale can result in the reduction of the anisotropic ratio; as a result, k gradually approaches to a point level's value, and the effect of anisotropy decreases. This work not only sheds light on the gap between the laboratory results and the field's inherent properties but also provides guidelines on upscaling small-scale (e.g., laboratory scale) results to field-scale applications.
AB - Properties of geomaterials often exhibit stratification and anisotropy due to various influencing factors such as weathering and sedimentation. However, the measurement of anisotropy is a difficult task since anisotropy not only depends on the direction but also varies with scale. In the current study, hydraulic conductivity is considered a typical geomaterial property and simulated by random field theory. A novel method based on two-dimensional and three-dimensional analytical expressions is proposed to estimate the apparent hydraulic conductivity (k) in different directions and determine the corresponding anisotropic ratios. A series of simulation tests on specimens with various dimensions from one strong anisotropy site are also performed via the finite element method. The analytical solutions of the proposed method are verified by numerical results. Results indicate that the anisotropic ratio shows a substantial sensitivity to the sample scale. A decrease in sample scale can result in the reduction of the anisotropic ratio; as a result, k gradually approaches to a point level's value, and the effect of anisotropy decreases. This work not only sheds light on the gap between the laboratory results and the field's inherent properties but also provides guidelines on upscaling small-scale (e.g., laboratory scale) results to field-scale applications.
KW - Anisotropy
KW - Apparent property
KW - Hydraulic conductivity
KW - Random field
KW - Scale effect
KW - Spatial variability
UR - http://www.scopus.com/inward/record.url?scp=85161360717&partnerID=8YFLogxK
U2 - 10.1061/AJRUA6.RUENG-1070
DO - 10.1061/AJRUA6.RUENG-1070
M3 - Article
AN - SCOPUS:85161360717
VL - 9
JO - ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
JF - ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
SN - 2376-7642
IS - 3
M1 - 04023020
ER -