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Predicting the Maximum Shear Modulus of Sands Containing Nonplastic Fines

Goudarzy, Meisam / Rahemi, Negar / Rahman, Md. Mizanur / Schanz, Tom

There are some attempts to evaluate Hardin’s equation for transition soils, i.e., sand mixed with a systematic increase of fines ( $particle size \leq 0.075 mm$ ) content, $f_{c}$ . The most common finding is that maxmium shear modulus, $G_{\max}$ , decreases with increasing $f_{c}$ , and there are attempts to capture the effect of $f_{c}$ on $G_{\max}$ by considering $G_{\max}$ of clean sand as a reference. These are done by (1) developing empirical relations of $A$ , $n$ , $c$ , or $d$ with $f_{c}$ ; (2) using equivalent granular void ratio, $e^{*}$ , instead of void ratio, $e$ in Hardin’s equation; and (3) using a critical state (CS) approach. This paper presents 288 resonant column $G_{\max}$ data for clean Hostun sand and Hostun sand mixed with 5, 10, 20, and 30% nonplastic quartz powder. It is found that when $e$ in a pre-established Hardin equation for clean Hostun sand is replaced by $e^{*}$ , Hardin’s equation can predict $G_{\max}$ for Hostun sand with $f_{c}$ with good accuracy. Only soil grading properties, e.g., $D_{10}$ and $d_{50}$ , are required as inputs to convert $e$ to $e^{*}$ . This is a significant advantage over a recently proposed CS approach which requires critical state lines (CSLs) data for each $f_{c}$ .

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Predicting the Maximum Shear Modulus of Sands Containing Nonplastic Fines

Goudarzy, Meisam / Rahemi, Negar / Rahman, Md. Mizanur / Schanz, Tom

There are some attempts to evaluate Hardin’s equation for transition soils, i.e., sand mixed with a systematic increase of fines ( $particle size \leq 0.075 mm$ ) content, $f_{c}$ . The most common finding is that maxmium shear modulus, $G_{\max}$ , decreases with increasing $f_{c}$ , and there are attempts to capture the effect of $f_{c}$ on $G_{\max}$ by considering $G_{\max}$ of clean sand as a reference. These are done by (1) developing empirical relations of $A$ , $n$ , $c$ , or $d$ with $f_{c}$ ; (2) using equivalent granular void ratio, $e^{*}$ , instead of void ratio, $e$ in Hardin’s equation; and (3) using a critical state (CS) approach. This paper presents 288 resonant column $G_{\max}$ data for clean Hostun sand and Hostun sand mixed with 5, 10, 20, and 30% nonplastic quartz powder. It is found that when $e$ in a pre-established Hardin equation for clean Hostun sand is replaced by $e^{*}$ , Hardin’s equation can predict $G_{\max}$ for Hostun sand with $f_{c}$ with good accuracy. Only soil grading properties, e.g., $D_{10}$ and $d_{50}$ , are required as inputs to convert $e$ to $e^{*}$ . This is a significant advantage over a recently proposed CS approach which requires critical state lines (CSLs) data for each $f_{c}$ .

Predicting the Maximum Shear Modulus of Sands Containing Nonplastic Fines

Goudarzy, Meisam / Rahemi, Negar / Rahman, Md. Mizanur / Schanz, Tom

There are some attempts to evaluate Hardin’s equation for transition soils, i.e., sand mixed with a systematic increase of fines ( $particle size \leq 0.075 mm$ ) content, $f_{c}$ . The most common finding is that maxmium shear modulus, $G_{\max}$ , decreases with increasing $f_{c}$ , and there are attempts to capture the effect of $f_{c}$ on $G_{\max}$ by considering $G_{\max}$ of clean sand as a reference. These are done by (1) developing empirical relations of $A$ , $n$ , $c$ , or $d$ with $f_{c}$ ; (2) using equivalent granular void ratio, $e^{*}$ , instead of void ratio, $e$ in Hardin’s equation; and (3) using a critical state (CS) approach. This paper presents 288 resonant column $G_{\max}$ data for clean Hostun sand and Hostun sand mixed with 5, 10, 20, and 30% nonplastic quartz powder. It is found that when $e$ in a pre-established Hardin equation for clean Hostun sand is replaced by $e^{*}$ , Hardin’s equation can predict $G_{\max}$ for Hostun sand with $f_{c}$ with good accuracy. Only soil grading properties, e.g., $D_{10}$ and $d_{50}$ , are required as inputs to convert $e$ to $e^{*}$ . This is a significant advantage over a recently proposed CS approach which requires critical state lines (CSLs) data for each $f_{c}$ .

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Title:

Predicting the Maximum Shear Modulus of Sands Containing Nonplastic Fines

Contributors:

Goudarzy, Meisam (author) / Rahemi, Negar (author) / Rahman, Md. Mizanur (author) / Schanz, Tom (author)

Published in:

Journal of Geotechnical and Geoenvironmental Engineering ; 143

Publication date:

2017-06-30

ISSN:

1090-0241 , 1943-5606

DOI:

https://doi.org/10.1061/(ASCE)GT.1943-5606.0001760

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

Unknown

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