Effects of inclined loads on strip footings with an underlying tunnel

IF 4 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Advances in Engineering Software Pub Date : 2024-10-01 DOI:10.1016/j.advengsoft.2024.103783
Gaoqiao Wu , Jiayu Zeng , Rui Zhang , Yongjie Tan , Shiping Zhang
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Abstract

The self-developed Finite Element Limit Analysis (FELA) code was utilized to examine the ultimate bearing capacity of strip footings positioned above tunnels affected by inclined loads. Bearing capacity factors were predicted using both upper bound (UB) and lower bound (LB) solutions, with a variance of less than 3 %. The primary focus of this study lies in assessing the influences of underlying tunnels and inclined loads on potential failure modes. In particular, the concept of failure envelopes was introduced, by which the load properties (inclination angle), the tunnel location (relative lateral distance and longitudinal distance from the footing) and the material properties of rock masses (GSI, mi, sci, g) were involved in to facilitate preliminary designs. In addition to envelopes, the transition among failure patterns was summarized, resting with any possible factors.
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倾斜荷载对带下层隧道的条形基脚的影响
利用自主开发的有限元极限分析 (FELA) 代码,研究了受倾斜荷载影响的隧道上方条形基脚的极限承载能力。采用上限 (UB) 和下限 (LB) 解决方案对承载力系数进行了预测,差异小于 3%。本研究的主要重点在于评估下层隧道和倾斜荷载对潜在失效模式的影响。特别是引入了破坏包络的概念,将荷载特性(倾角)、隧道位置(与基脚的相对横向距离和纵向距离)和岩体的材料特性(GSI、mi、sci、g)都纳入其中,以促进初步设计。除包络线外,还总结了各种破坏模式之间的过渡,并对可能的因素进行了归纳。
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来源期刊
Advances in Engineering Software
Advances in Engineering Software 工程技术-计算机:跨学科应用
CiteScore
7.70
自引率
4.20%
发文量
169
审稿时长
37 days
期刊介绍: The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.
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