Experimental study on the thixotropic strength of the marine soft clay from the Yangtze River estuary

Soft clay in the offshore area of the Yangtze River estuary has been investigated considering its basic physical properties. Forty-five unconfined compressive strength tests were conducted on the remolded marine soft clay to investigate the impacts of curing time T , water content w , plasticity index I P , and clay particle content ρ c on the thixotropic static shear strength ratio A s of the marine soft clay from the Yangtze River estuary. Results show that the stress–strain curves were primarily strain hardening and strain softening curve types. Unconfined compressive strength q u increased with an increase in T. All specimens with different basic physical properties were capable of thixotropic strength recovery. When T = 0–28 days, A s increased rapidly, while for T > 28 days, A s of most specimens increased slightly or tended to stabilize. The impacts of w , I P and ρ c on A s do not follow a consistent pattern, but there is a strong correlation between A s and w / w L ( w L is the liquid-limit water content). For w / w L < 0.75, A s increased with increasing w/w L , whereas for w / w L ≥0.75, A s decreased with increasing w / w L . We proposed a simple and widely applicable power function prediction model for the As of the soft clay from the Yangtze River estuary.

Authors

Institutions

Publication Details

Journal
Frontiers in Marine Science
Published
2024-10-03
DOI
https://doi.org/10.3389/fmars.2024.1462550
Citations
3
Primary Topic
Geotechnical Engineering and Soil Stabilization
Type
article
Field-Weighted Citation Impact
0.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental study on the thixotropic strength of the marine soft clay from the Yangtze River estuary

Binghui Wang, Qi Wu, Enci Zhu, Xing Xiao et al.
3 citations
Frontiers in Marine Science
Geotechnical Engineering and Soil Stabilization
0.78
article

Experimental study on the thixotropic strength of the marine soft clay from the Yangtze River estuary

Binghui Wang, Qi Wu, Enci Zhu, Xing Xiao, Y. Huang
article en
3 citations

Abstract

Soft clay in the offshore area of the Yangtze River estuary has been investigated considering its basic physical properties. Forty-five unconfined compressive strength tests were conducted on the remolded marine soft clay to investigate the impacts of curing time T , water content w , plasticity index I P , and clay particle content ρ c on the thixotropic static shear strength ratio A s of the marine soft clay from the Yangtze River estuary. Results show that the stress–strain curves were primarily strain hardening and strain softening curve types. Unconfined compressive strength q u increased with an increase in T. All specimens with different basic physical properties were capable of thixotropic strength recovery. When T = 0–28 days, A s increased rapidly, while for T > 28 days, A s of most specimens increased slightly or tended to stabilize. The impacts of w , I P and ρ c on A s do not follow a consistent pattern, but there is a strong correlation between A s and w / w L ( w L is the liquid-limit water content). For w / w L < 0.75, A s increased with increasing w/w L , whereas for w / w L ≥0.75, A s decreased with increasing w / w L . We proposed a simple and widely applicable power function prediction model for the As of the soft clay from the Yangtze River estuary.

Frontiers in Marine ScienceVol. 11
Nanjing Tech University (CN), Jiangsu University of Science and Technology (CN)
Openalex Percentile: Top 30%
Geotechnical Engineering and Soil Stabilization
0.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.