Axial force coherence study of strut loading in soft soil deep excavation

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Zhe Wang , Kuan Chang , Jianchao Sheng , Jinbo Fu , Weiwei Liu
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Abstract

The coherence of the axial force between steel struts during excavation, i.e. the axial force coherence, is a critical factor affecting axial force control. This study introduces a novel method for calculating the horizontal displacement of a diaphragm wall, applicable to servo-controlled excavation, based on the non-limit earth pressure theory. Furthermore, the study investigates the coherence of axial forces in prestressed struts. First, the diaphragm wall is modeled as a rectangular thin plate with two opposite edges simply supported and the other two edges free. It is then divided into m×n small rectangles along the depth and length directions, and the external combined force within each small rectangle is calculated. Secondly, a non-linear set of force–displacement equations is constructed, and the recursive equation of the displacement of the diaphragm wall is obtained by applying the Newton–Raphson method. The method’s accuracy is confirmed through field measurement comparisons. Subsequently, The paper then applies the proposed methodology to scrutinize the effects of loading on individual and multiple struts on the axial forces of adjacent struts. The loading scheme for struts in deep excavation within soft soil areas can be referenced by utilizing this method.

软土深层挖掘中支撑加载的轴力相干性研究
开挖过程中钢支撑间轴向力的一致性,即轴向力一致性,是影响轴向力控制的关键因素。本研究基于非极限土压力理论,介绍了一种适用于伺服控制挖掘的地下连续墙水平位移计算新方法。此外,该研究还探讨了预应力支柱中轴向力的相干性。首先,将连续墙建模为矩形薄板,两相对边为简单支撑,另两边为自由边。然后沿深度和长度方向将其划分为 m×n 个小矩形,并计算每个小矩形内的外部合力。其次,构建力-位移非线性方程组,并采用牛顿-拉斐逊法求得地下连续墙的位移递推方程。通过现场测量对比,证实了该方法的准确性。随后,本文应用所提出的方法仔细研究了单根和多根支撑的加载对相邻支撑轴向力的影响。在软土地区进行深层开挖时,可利用此方法参考支柱的加载方案。
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来源期刊
Journal of Computational Science
Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
5.50
自引率
3.00%
发文量
227
审稿时长
41 days
期刊介绍: Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).
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