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Original Articles

Study of the strength characteristics of dredger fill under the combined action of impact load and drainage

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Pages 6032-6046 | Received 30 Dec 2020, Accepted 03 May 2021, Published online: 19 May 2021
 

Abstract

This paper studied the strength growth characteristics of Tianjin Binhai dredger fill, considering the impact load, drainage condition, and loading way of the impact. Based on UU and scanning electron microscope tests, the strength growth mechanism of the dredger fill was studied from both macroscopic and microscopic perspectives. The results showed that there an optimal impact load under the combined action of impact load and drainage, which can enhance the strength of the dredger fill to the maximum extent, its value is close to the structural yield stress. Furthermore, the methods of ‘more impact rounds and fewer impact counts’ and ‘first light then heavy’ can obtain the best effect of foundation reinforcement. Microstructural analysis showed that, with the increase in impact loads, the pore complexity and the number of pores increased, while the porosity, the number of soil particles, the pore circumference, and the total pore area decreased. This research also showed that the increase in the strength of dredger fill was mainly reflected by the increase in the internal friction angle under the combined actions of impact load and drainage, while the change of cohesion was rather small. The mathematical relationship between the internal friction angle and the pore characteristic can be expressed by a unary function, which increases with increasing pore complexity.

Disclosure statement

The authors declare that no conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors of publication; the work described was original research that has not been published previously, and not under consideration for publication elsewhere. All the authors listed have approved the manuscript that is enclosed.

Additional information

Funding

This work was supported by the [National Natural Science Foundation of China] under Grant [number 51978440]; [the CAS Pioneer Hundred Talents Program granted to Dr. G. Xu] under Grant [number 2018–040]; [Natural Science Foundation of Tianjin] under Grant [number 19JCZDJC39700]; and [the Fundamental Research Funds for the Central Universities] under Grant [number 2232021A-07].

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