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FIRAT UNIVERSITY JOURNAL OF EXPERIMENTAL AND COMPUTATIONAL ENGINEERING最新文献

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Failure mechanism of a soil slope and stabilization method: a case study 土质边坡破坏机理及稳定方法的实例研究
Pub Date : 1900-01-01 DOI: 10.5505/fujece.2022.35744
Mustafa Kanik
In this study, the slope stability problem, which occurred when the projected excavation works of a treatment plant has been started, has been examined. The aim of this study is to determine the conditions causing the slope failure and to make the slope stable again. Then, to ensure the stability of the whole slope after all the excavations work in the project area have been completed. For this purpose, firstly, the topographic features of the slope where the failure took place were determined and a model of the failure condition was created. Field and laboratory studies were used to obtain the data to be used in slope modeling. Models reflecting the current situation were analyzed considering static and dynamic conditions and a safe slope design was created. The analyzes are carried out by Slide V.6.0. software which is based on limit equilibrium methods and Bishop Method was preferred. As a result, it was determined that the reason of the failure occurred was the change of the soil’s physical and mechanical parameters due to precipitation. In the slope stability problem considered, the benching method has been proposed as an improvement method, and additionally, suggestions have been made for the disposal of surface waters by drainage methods.
本文研究了某污水处理厂开挖工程开始时出现的边坡稳定性问题。本研究的目的是确定引起边坡失稳的条件,使边坡恢复稳定。然后,在项目区所有开挖工作完成后,确保整个边坡的稳定性。为此,首先确定发生破坏的边坡地形特征,建立破坏条件模型;通过现场和实验室研究获得了用于边坡建模的数据。分析了反映现状的模型,考虑了静力和动力条件,建立了安全边坡设计。使用Slide V.6.0进行分析。基于极限平衡法和Bishop法的软件优选。结果确定破坏发生的原因是由于降水引起的土体物理力学参数的变化。在考虑边坡稳定性问题时,提出了台架法作为一种改进方法,并对地表水的排水处理提出了建议。
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引用次数: 0
Production and characterization of chitosan-based polymer particles with the precipitation collection method 沉淀法制备壳聚糖基聚合物颗粒及其表征
Pub Date : 1900-01-01 DOI: 10.5505/fujece.2022.54264
Hülya Demirtaş, Şeyda Taşar, Fatih Kaya, A. Özer
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引用次数: 2
Deep deterministic policy gradient reinforcement learning for collision-free navigation of mobile robots in unknown environments 未知环境下移动机器人无碰撞导航的深度确定性策略梯度强化学习
Pub Date : 1900-01-01 DOI: 10.5505/fujece.2023.85047
Taner Yılmaz, Ömür Aydoğmuş
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引用次数: 0
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FIRAT UNIVERSITY JOURNAL OF EXPERIMENTAL AND COMPUTATIONAL ENGINEERING
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