Results 21 to 30 of about 187,786 (261)

Influences of shear rate and loading frequency on shear behavior of geogrid-soil interfaces

Yantu gongcheng xuebao, 2021
The reinforced soil structures are widely used in road engineering, and the influences of the dynamic load of vehicles on the interaction characteristics of geogrid-soil interfaces cannot be ignored.
LIU Fei-yu 1, ZHU Chen 1, WANG Jun 2
doaj   +1 more source

Evaluation of asphalt pavement layer bonding stress

Journal of Civil Engineering and Management, 2015
This study is to evaluate the bonding shear stress between asphalt pavement layered structures with emulsion and cutback asphalt as tack coat materials.
Jia-Chong Du
doaj   +1 more source

Experimental study on tension-shear mechanical behavior of sandstone

Yantu gongcheng xuebao, 2019
Rock excavation and river incision result in stress unloading in one or more directions, which leads to the redistribution of stress fields of rock masses in the influenced zone.
HUANG Da 1, 2, ZHANG Yong-fa 1, ZHU Tan-tan 1, CHEN Hong-kai 3
doaj   +1 more source

Effects of Groove Feature on Shear Behavior of Steel-Sand Interface

Advances in Civil Engineering, 2020
Surface groove morphology of structure and particle distribution of soil had a significant effect on the surface friction of structure. In order to investigate the interface shear stress-shear displacement curves, interface model and interface shear ...
Jukun Guo, Xiaowei Wang, Shengyou Lei, Rui Wang, Hailei Kou, Daokai Wei   +5 more
doaj   +1 more source

Analysis of Cyclic Shear Stress–Displacement Mechanical Properties of Silt–Steel Interface in the Yellow River Delta

Journal of Marine Science and Engineering, 2022
Pile foundations of offshore structures are often subjected to cyclic loads under storm loads, thus reducing their vertical bearing capacity. Therefore, studying the cyclic shear behavior of the soil–structure interface is important for maintaining the ...
Peng Yu, Jie Dong, Haisong Liu, Rui Xu, Rujie Wang, Meijun Xu, Hongjun Liu   +6 more
doaj   +1 more source

Experimental Study on Cyclic Shear Performance of the Four-Way Geogrid Reinforcement–Soil Interface

Applied Sciences
This paper presents the results of horizontal cyclic direct shear tests at the reinforced soil interface of a four-way polypropylene geogrid reinforced sandy soil. The influence of normal stress and shear displacement amplitude on the shear stress, shear
Mengxi Zhang, Xibo Ruan, Lei Jiang
doaj   +1 more source

Study on shear characteristics of straight joints of coal under different normal stress and shear rate conditions

Meikuang Anquan
The shear mechanical parameters of coal are important parameters for analyzing the deformation and stability of coal. In order to study the shear characteristics of straight joints of coal under different normal stress and shear rate conditions, the ...
Yueming SUN, Yida WANG, Fan WU, Kun FANG, Haochen TIAN, Kang TAO   +5 more
doaj   +1 more source

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

FEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto, Masatomo So, Ayako Furukawa, Kenji Sugase   +3 more
wiley   +1 more source

Identifying transcription factors controlling the basal expression of human MRP4 highlights a substantial role for Sp1

FEBS Open Bio, EarlyView.
The MRP4 transporter exports several drugs and signaling molecules. Here, we identified key promoter elements regulating basal MRP4 expression. Using reporter assays, we defined a conserved region with essential Sp1 and contributory Ets sites, which controlled basal MRP4 expression.
Debora Singer, Angelique Kragl, Katrin Ziems, Juliane Glaubitz, Sophie Grammbauer, Susanne Hildebrandt, Mladen V. Tzvetkov, Gabriele Jedlitschky   +7 more
wiley   +1 more source

A machine learning-based method for predicting the shear behaviors of rock joints

Soils and Foundations
In this study, machine learning prediction models (MLPMs), including artificial neural network (ANN), support vector regression (SVR), K-nearest neighbors (KNN), and random forest (RF) algorithms, were developed to predict the peak shear stress values ...
Liu He, Yu Tan, Timothy Copeland, Jiannan Chen, Qiang Tang   +4 more
doaj   +1 more source