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Interlayer soil settlement prediction in the construction of under-crossing existing structures based on multi-parameter time series model 基于多参数时间序列模型的下穿既有结构施工层间土体沉降预测
IF 8.3 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 Epub Date: 2025-08-11 DOI: 10.1016/j.undsp.2025.04.009
Boyu Jiang, Haibin Wei, Dongsheng Wei, Zipeng Ma, Fuyu Wang
Predicting surface settlement can identify potential risks associated in shield construction. However, in the construction of under-crossing existing structures, the surface settlement is minimal due to the high stiffness of the existing structure, making it unsuitable as a basis for risk assessment. Therefore, interlayer soil settlement was used as an evaluation index in this paper, which was predicted by the developed multi-parameter time series (MPTS) model. This model establishes new dataset, including time, effective stress ratio (ESR), mechanical fluctuation coefficient (MFC), and interlayer soil settlement, where ESR and MFC take into account the changing geological conditions. This study proposes a novel MPTS model, integrating grid search (GS), nonlinear particle swarm optimization (NPSO), and support vector regression (SVR) algorithms to predict interlayer soil settlement during under-crossing construction. It utilizes GS and NPSO to obtain the optimal hyperparameters for SVR. Sensitivity analysis based on MPTS model was used to identify important parameters and propose specific improvement measures. A real under-crossing tunnel project was adopted to verify the effectiveness of the MPTS. The results show that the new input parameters proposed in this paper reduce mean absolute error (MAE) by 20.3% and mean square error (MSE) by 46.7% of prediction results. Compared with the other three algorithms, GS-NPSO-SVR has better prediction performance. Through Sobol sensitivity analysis, previous settlement, ESR and MFC in fully weathered mudstone and moderately weathered mudstone are identified as the primary parameters affecting the interlayer soil settlement. The improvement measures based on analysis results reduce the accumulated settlement by 79.97%. The developed MPTS model can accurately predict the interlayer soil settlement and provide guidance for water stopping or reinforcement construction.
预测地表沉降可以识别盾构施工中的潜在风险。然而,在下穿既有结构施工中,由于既有结构的高刚度,地表沉降最小,不适合作为风险评估的依据。因此,本文以层间土体沉降为评价指标,采用建立的多参数时间序列(MPTS)模型对层间土体沉降进行预测。该模型建立了新的数据集,包括时间、有效应力比(ESR)、机械波动系数(MFC)和层间土体沉降,其中ESR和MFC考虑了地质条件的变化。本文提出了一种新的MPTS模型,结合网格搜索(GS)、非线性粒子群优化(NPSO)和支持向量回归(SVR)算法来预测下交叉施工过程中的层间土壤沉降。利用GS和NPSO来获得SVR的最优超参数。采用基于MPTS模型的敏感性分析,识别重要参数,提出具体改进措施。通过一个实际的下穿隧道工程来验证MPTS的有效性。结果表明,本文提出的新输入参数使预测结果的平均绝对误差(MAE)降低了20.3%,均方误差(MSE)降低了46.7%。与其他三种算法相比,GS-NPSO-SVR具有更好的预测性能。通过Sobol敏感性分析,确定了完全风化泥岩和中度风化泥岩的前期沉降、ESR和MFC是影响层间土体沉降的主要参数。根据分析结果采取的改进措施使累积沉降减少79.97%。所建立的MPTS模型能够准确预测层间土体沉降,为止水或加固施工提供指导。
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引用次数: 0
Impact of a large and shallow twin-tunnel excavation on a high-speed railway bridge and related protective measures: A case study 大型浅埋双隧道开挖对高速铁路桥梁的影响及防护措施——以某高速铁路桥梁为例
IF 8.3 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 Epub Date: 2025-07-24 DOI: 10.1016/j.undsp.2025.05.001
Wenhui Yang , Dingwen Zhang , Daniela Boldini
This case study examines a landmark engineering project in Suzhou, China, involving the construction of two large-diameter (13.2 m) shield tunnels beneath an active high-speed railway (HSR) bridge. This pioneering project is the first of its kind in both China and the world. Advanced numerical simulations were conducted to rigorously assess construction risks. To ensure the operational safety of the existing HSR bridge, an innovative protective system, consisting primarily of segmental steel casing concrete pile barriers, was employed. A comprehensive network of monitoring sensors was strategically deployed to track soil, pile barrier, and pier displacements throughout both the protective and tunnelling phases. Simulation results indicated that tunnelling without protective measures could cause pier displacements of up to 3.1 mm along the bridge—exceeding the maximum allowable displacement of 2 mm in accordance with regulations. Monitoring data revealed that the maximum pier displacement during protective scheme installation was limited to 0.5 mm. With these protective measures, pier displacement during each tunnelling phase remained consistently below 0.5 mm, representing an approximate 80% reduction compared to the unprotected scenario, thereby ensuring the continued safety of the HSR bridge.
本案例研究考察了中国苏州的一个标志性工程项目,该项目涉及在一座现役高速铁路(HSR)桥下建造两条大直径(13.2米)盾构隧道。这个开创性的项目在中国和世界上都是第一个。进行了先进的数值模拟,以严格评估施工风险。为了确保现有高铁桥梁的运行安全,采用了一种创新的保护系统,主要由节段钢套管混凝土桩屏障组成。在整个保护和隧道施工阶段,策略性地部署了一个全面的监测传感器网络来跟踪土壤、桩屏障和墩的位移。仿真结果表明,在不采取防护措施的情况下,隧道开挖导致桥墩沿桥位移达3.1 mm,超过了规定的最大允许位移2mm。监测数据显示,保护方案安装过程中桥墩最大位移限制在0.5 mm。有了这些保护措施,每个隧道阶段的桥墩位移始终保持在0.5毫米以下,与未受保护的情况相比,大约减少了80%,从而确保了高铁桥梁的持续安全。
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引用次数: 0
Land-sea integrated suitability evaluation of underground space based on Pythagorean fuzzy Bayesian network 基于毕达哥拉斯模糊贝叶斯网络的地下空间陆海综合适宜性评价
IF 8.3 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 Epub Date: 2025-07-16 DOI: 10.1016/j.undsp.2025.04.004
Xinyu Liu , Hongjun Liu , Jie Dong , Peng Yu , Honghua Liu , Guanghua Cheng
Scientific development and utilization of urban underground space is an inevitable choice for sustainable urban development. However, in the previous suitability evaluation of underground space in coastal cities, the development potential of underground space in the sea area is not considered. Therefore, this study takes the coastal zone of Jiaozhou bay as the study area, establishes evaluation index systems for land and sea areas separately, and explores a new model for evaluating the suitability of underground space in coastal cities by integrating land and sea. In addition, an underground space suitability evaluation model based on the integration of Pythagorean fuzzy sets and Bayesian network is proposed. Firstly, the Pythagorean triangular fuzzy numbers are used to expand the fuzzy range of expert opinions. Then the Pythagorean triangular fuzzy hybrid geometric operator is used to realize the aggregation of expert opinions to solve the difficulty of obtaining the node conditional probability table by the traditional Bayesian network model of underground space suitability evaluation. Finally, the Pythagorean fuzzy Bayesian network is used as an evaluation tool to carry out the underground space suitability evaluation. Based on the evaluation result and urban planning, the overall planning and functional zoning guidelines for underground space development in the study area are given and the suitability and engineering construction difficulty analysis on the second subsea tunnel of Jiaozhou bay is conducted. The research results can provide a valuable reference for the coastal city planning department to develop and utilize underground space.
科学开发利用城市地下空间是城市可持续发展的必然选择。然而,在以往的沿海城市地下空间适宜性评价中,并未考虑海区地下空间的开发潜力。因此,本研究以胶州湾海岸带为研究区,分别建立陆域和海域评价指标体系,探索陆海一体化评价沿海城市地下空间适宜性的新模式。此外,提出了一种基于毕达哥拉斯模糊集与贝叶斯网络相结合的地下空间适宜性评价模型。首先利用毕达哥拉斯三角模糊数扩大专家意见的模糊范围;然后利用毕达哥拉斯三角模糊混合几何算子实现专家意见的聚合,解决传统贝叶斯网络地下空间适宜性评价模型获取节点条件概率表的困难;最后,利用毕达哥拉斯模糊贝叶斯网络作为评价工具进行地下空间适宜性评价。根据评价结果和城市规划,给出了研究区地下空间开发总体规划和功能分区指南,并对胶州湾海底第二隧道的适宜性和工程施工难度进行了分析。研究结果可为滨海城市规划部门开发利用地下空间提供有价值的参考。
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引用次数: 0
Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line 城市软土地基隧道人工智能优化盾构参数——以曼谷捷运蓝线为例
IF 8.3 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 Epub Date: 2025-08-05 DOI: 10.1016/j.undsp.2025.04.008
Sahatsawat Wainiphithapong , Chana Phutthananon , Sompote Youwai , Pitthaya Jamsawang , Phattarawan Malaisree , Ochok Duangsano , Pornkasem Jongpradist
This paper presents a study on multi-objective optimization (MOO) of shield operational parameters (SOPs) for soft ground tunneling using a tunnel boring machine (TBM) in an urban environment, focusing on the case study of the MRT Blue Line in Bangkok. The investigation aims to determine the optimal combination of SOPs, consisting of face pressure (Fp), thrust force (Tf), grout pressure (Gp), and percent grout filling (Gf), along with relevant environmental factors, including tunnel depth (Td), inverted groundwater level (Wi), and type of surrounding soil (Ts). The primary objective is to enhance the penetration rate (Pavg, in terms of average value), as cost consideration, while mitigating ground surface settlement (S), as safety (serviceability) consideration. Using long short-term memory (LSTM) neural networks as predictive models, the results yield coefficient of determination (R2) values of 0.81 and 0.96, root mean square error (RMSE) values of 5.91 mm/min and 3.09 mm, and average bias factor values of 0.99 and 0.88 for the P and S predictive models, respectively, based on validation datasets. This integrated framework, which combines the non-dominated sorting genetic algorithm (NSGA-II) with LSTM neural networks, is applied to MOO to identify the optimal SOPs, while accounting for their influence on S variation as a time-series over 11 timesteps, as considered in this study. For simplification and practical field implementation, the same set of SOP values is applied across all 11 timesteps during the optimization process. Using the proposed optimization framework, the optimal results demonstrate improvements in Pavg, increasing by up to 109.8% (from 13.99 to 29.35 mm) and in S, reducing up to 79.6% (from 34.55 to 7.06 mm) when MOO is conducted as a time series using the simplified method. This finding provides a valuable approach to effectively address the sequential uncertainties of relevant factors in soft ground tunneling for similar projects.
以曼谷捷运蓝线为例,对城市软土地基隧道掘进机盾构施工参数的多目标优化(MOO)进行了研究。该研究旨在确定SOPs的最佳组合,包括工作面压力(Fp)、推力(Tf)、注浆压力(Gp)和注浆填充率(Gf),以及相关环境因素,包括隧道深度(Td)、倒排地下水位(Wi)和周围土壤类型(Ts)。从成本考虑,主要目标是提高钻速(按平均值计算),同时从安全性(可使用性)考虑,减少地面沉降(S)。采用长短期记忆(LSTM)神经网络作为预测模型,基于验证数据集的P和S预测模型的产率决定系数(R2)分别为0.81和0.96,均方根误差(RMSE)分别为5.91 mm/min和3.09 mm,平均偏差因子分别为0.99和0.88。该集成框架将非支配排序遗传算法(NSGA-II)与LSTM神经网络相结合,应用于MOO来识别最优sop,同时考虑其作为超过11个时间步长的时间序列对S变化的影响,如本研究所考虑的那样。为了简化和实际的现场实施,在优化过程中,在所有11个时间步中应用相同的一组SOP值。使用该优化框架,当使用简化方法将MOO作为时间序列进行时,最优结果显示Pavg提高了109.8%(从13.99到29.35 mm), S降低了79.6%(从34.55到7.06 mm)。这一发现为有效解决类似软土地基工程中相关因素的时序不确定性提供了有价值的方法。
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引用次数: 0
Investigation on foundation pit uplift mechanism and tunnel response induced by deep excavation under complex support system: A case study 复杂支护体系下深基坑开挖引起的基坑隆起机理及隧道响应研究——以实例为例
IF 8.2 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 Epub Date: 2025-07-01 DOI: 10.1016/j.undsp.2025.03.002
Zhiguo Zhang , Jian Wei , Junjie Li , Linlong Mu , Wei Wo , Yin Ni
Pit excavation work often occurs directly above metro tunnels, causing adverse effects on the underlying existing operational shield tunnel. Current simplified solutions mainly adopt stress release method to reflect excavation of foundation pit, which is inappropriate for large soil uplift. A two-stage analysis based on modified Sagaseta solution with displacement-controlled boundary condition and tunnel-soil coordinated constrain is promoted for estimating the mechanical behavior of tunnel with joints. Specifically, the modified Sagaseta solution including gravity effects is firstly used to obtain the soil greenfield displacement caused by foundation pit excavation. Secondly, the Pasternak foundation model, incorporating tunnel-soil ellipse-shaped deformation, combines a variable stiffness Timoshenko beam at tunnel joints and ultimately obtains the tunnel displacement curve. Furthermore, a three-dimensional numerical simulation is also conducted for Jinqiao metro superstructure excavation project that involves a foundation pit situated directly above an existing metro tunnel. The feasibility of simplified solutions is verified with numerical simulation solutions and an engineering case. For investigating the key parameters, the parametric analyses are conducted, indicating that the greenfield displacement is highly related to modified uneven convergence Sagaseta solution. The ignoration of excavation width will overestimate the tunnel displacement as plane strain condition. Both equivalent bending and shear stiffness can only influence corresponding bending and shear tunnel deformation.
基坑开挖工程经常在地铁隧道的正上方进行,对地铁隧道的下卧既有施工盾构隧道造成不利影响。目前的简化解主要采用应力释放法来反映基坑开挖,不适用于较大的土体隆升。提出了一种基于变形控制边界条件和隧道-土协调约束的修正Sagaseta解的两阶段分析方法,用于估算含节理隧道的力学性能。具体而言,首先采用考虑重力效应的修正Sagaseta解求解基坑开挖引起的土体绿地位移。其次,考虑隧道-土体椭圆变形的帕斯捷尔纳克地基模型,在隧道节点处结合变刚度Timoshenko梁,最终得到隧道位移曲线;此外,还对金桥地铁上部结构开挖工程进行了三维数值模拟,该工程涉及地铁既有隧道正上方的基坑。通过数值模拟解和工程实例验证了简化解的可行性。为研究关键参数,进行了参数分析,表明绿地位移与修正的不均匀收敛Sagaseta解高度相关。忽略开挖宽度将高估作为平面应变条件的隧道位移。等效弯剪刚度只能影响相应的弯剪隧道变形。
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引用次数: 0
Impact of ground motion characteristics on the seismic fragility of circular tunnels 地震动特性对圆形隧道地震易损性的影响
IF 8.3 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 Epub Date: 2025-07-09 DOI: 10.1016/j.undsp.2024.09.008
Zhong-Kai Huang , Dong-Mei Zhang , Wu-Yu Zhang , Yong-Bo Li
The seismic performance of tunnel structure can be examined by fragility analysis, which determines the probability that demand will exceed capacity for a given hazard intensity. Although it is commonly understood that earthquake uncertainties dominate fragility features, the implication of ground motion characteristics on the shield tunnel fragility analysis has not been comprehensively explored. Thus, this study aims to compare the effects of various earthquake characteristics on the fragility of the investigated shield tunnels. To this end, a typical shield tunnel was chosen and modelled using the finite element software. In addition, to account for typical ground motion characteristics, various ground motion sets, including near-field no plus motions (NFNP), near-field motions with a pulse (NFP), and far-field motions (FF), are selected, and a fragility analysis was assessed for every set of ground motion. The fragility curves were generated employing peak ground acceleration (PGA) as the intensity measure (IM) and tunnel drift as the damage measure (DM). The findings indicate that shield tunnels subjected to NFP may be more vulnerable compared to those subjected to NFNP and FF ground motions. This study’s findings highlight the vital role of ground motion characteristics in evaluating the fragility of shield tunnels. Moreover, the results may inform future seismic risk and resiliency evaluations regarding the importance of considering or disregarding the impacts of ground motion characteristics on tunnel vulnerability.
隧道结构的抗震性能可以通过易损性分析来检验,易损性分析决定了在给定的危险强度下需求超过能力的概率。虽然人们普遍认为地震不确定性主导着盾构隧道的易损性特征,但地震动特征对盾构隧道易损性分析的影响尚未得到全面探讨。因此,本研究旨在比较不同地震特征对盾构隧道易损性的影响。为此,选取了一个典型的盾构隧道,利用有限元软件对其进行建模。此外,为了考虑典型的地面运动特征,选择了各种地面运动集,包括近场无加运动(NFNP)、近场脉冲运动(NFP)和远场运动(FF),并对每一组地面运动进行了脆弱性分析。采用峰值地面加速度(PGA)作为强度度量,隧道位移(DM)作为损伤度量,生成了脆性曲线。研究结果表明,与NFNP和FF地震动相比,NFP作用下的盾构隧道可能更脆弱。本研究结果强调了地震动特性在评估盾构隧道脆弱性方面的重要作用。此外,研究结果可以为未来的地震风险和弹性评估提供信息,说明考虑或忽视地面运动特征对隧道易损性的影响的重要性。
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引用次数: 0
Multi-fidelity knowledge inheritance with active querying for data-driven clogging prediction during mechanized tunneling 基于主动查询的多保真度知识继承技术在机械化隧道掘进过程中的应用
IF 8.3 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 Epub Date: 2025-08-26 DOI: 10.1016/j.undsp.2025.04.010
Xiao Yuan , Shuying Wang , Tongming Qu , Huanhuan Feng , Pengfei Liu , Junhao Zeng
Muck clogging during shield tunneling often leads to reduced construction efficiency, increased costs and potential safety hazards. Traditional methods for predicting muck clogging primarily rely on the operator’s experience and conventional risk maps, but have limitations in dealing with complex construction conditions. To address these issues, this study presents a Monte-Carlo dropout (MCD)-assisted multi-fidelity neural network (MFNN) framework for effective prediction of muck clogging risk. First, a low-fidelity model is trained based on synthesized data using clogging risk maps. Subsequently, in-situ tunneling data are used as high-fidelity data to train multi-fidelity models. MCD serves to evaluate the uncertainty of the MFNN’s inference, combined with an active learning strategy to refine the low-fidelity model via iterative training of the high-fidelity model. Experimental results show that the MCD-assisted MFNN framework captures clogging features more effectively than traditional machine learning models that use only single-fidelity data, especially in scenarios with imbalanced data. This study provides a viable solution for complex problems in shield tunneling by fully utilizing both experiential knowledge accumulated in engineering practice and field monitoring data, demonstrating the potential of integrating knowledge and data in tackling some challenges that were previously unresolved.
盾构隧道施工中淤泥堵塞往往会导致施工效率降低、成本增加和安全隐患。预测淤泥堵塞的传统方法主要依赖于作业者的经验和传统的风险图,但在处理复杂的施工条件时存在局限性。为了解决这些问题,本研究提出了一个蒙特卡罗辍学(MCD)辅助的多保真神经网络(MFNN)框架,用于有效预测渣土堵塞风险。首先,利用堵塞风险图对综合数据进行低保真度模型的训练。随后,利用现场掘进数据作为高保真度数据训练多保真度模型。MCD用于评估MFNN推理的不确定性,并结合主动学习策略,通过迭代训练高保真度模型来改进低保真度模型。实验结果表明,mcd辅助MFNN框架比仅使用单一保真度数据的传统机器学习模型更有效地捕获阻塞特征,特别是在数据不平衡的情况下。本研究充分利用工程实践积累的经验知识和现场监测数据,为盾构施工中的复杂问题提供了可行的解决方案,展示了知识与数据相结合的潜力,可以解决一些以前未解决的挑战。
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引用次数: 0
Formation mechanism of the structural ring for tunnels in horizontal layered rock with high geostress 高地应力水平层状岩体隧道结构环形成机理
IF 8.3 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 Epub Date: 2025-09-05 DOI: 10.1016/j.undsp.2025.05.002
Zhenyu Sun, Dingli Zhang, Muyang Li, Huiruo Wu
Tunnelling in layered rock with high geostress can cause large deformation disasters, and the reasonable countermeasures rely on a full understanding of the self-bearing capacity of the surrounding rock. In this article, the structural ring concept was introduced to represent the load-bearing capacity of the horizontal layered surrounding rock, whose formation mechanism and determination method were analyzed. Firstly, the mechanical response characteristics of the horizontal layered surrounding rock due to excavation were analyzed. Based on the stress transfer mechanism, the new concept of the structural ring which is a closed structure with a certain thickness was presented. Taking the stress element as the basic analytical model, the maximum increase ratio of the compressive stress was adopted to characterize the structural ring. Then the determination method and its implementation algorithm of the structural ring boundaries were proposed, based on which the beam-arch property of the layered rock was investigated. A series of model tests were carried out to validate the proposed structural ring concept and its determination method. Parametric studies were conducted to illustrate the effect of geological conditions and tunnel geometry on the position and shape of structural rings. Furthermore, the application of the structural ring concept in support design was discussed. It was found that the structural ring was usually oval-shaped with the major axis direction consistent with the dominant in-situ stress. Rock layers had a significant effect on the structural ring, and the beam-arch property was affected by the interlayers and bedding spacing. The support system was beneficial for the formation of the structural ring, which should be designed to balance the support capacity and the stability of the structural ring.
在地应力较大的层状岩石中开挖隧道会造成较大的变形灾害,合理的对策依赖于对围岩自承载能力的充分了解。本文引入结构环的概念来表示水平层状围岩的承载能力,分析了其形成机理和确定方法。首先,分析了水平层状围岩开挖的力学响应特征;基于应力传递机理,提出了一定厚度的封闭结构环的新概念。以应力单元为基本解析模型,采用最大压应力增加比对结构环进行表征。然后提出结构环边界的确定方法及其实现算法,在此基础上对层状岩体的梁拱特性进行了研究。进行了一系列模型试验,验证了所提出的结构环概念及其确定方法。通过参数化研究,说明了地质条件和隧道几何形状对结构环位置和形状的影响。并对结构环概念在支撑设计中的应用进行了探讨。构造环通常呈椭圆形,主轴方向与主导地应力方向一致。岩层对构造环有显著影响,梁拱性质受夹层和层理间距的影响。支撑体系有利于结构环的形成,在设计时应兼顾支撑能力和结构环的稳定性。
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引用次数: 0
Experimental and numerical study on the soil arching effect caused by deep-buried shield tunneling 深埋盾构隧道土拱效应的试验与数值研究
IF 8.2 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 Epub Date: 2025-07-09 DOI: 10.1016/j.undsp.2025.04.002
Xu Song , Chang-Wei Miao , Ren-Peng Chen , Xiao-Ning Deng , Yu Zhang , Jun-Qing Wang , Xiao-Fei Chen
The soil arching effect induced by deep-buried shield tunneling strongly influenced the ground stress and displacement. Therefore, revealing the evolution mechanism of the soil arching effect is a prerequisite for accurately predicting the tunnel load, which has not been understood in deep-buried conditions. Three model tests and eight numerical simulations were carried out to enhance the understanding of the soil arching evolution, in which the stress field, displacement field, and strain field were analysed. The experimental and numerical results indicated that the ground reaction curve presented a two-stage development process of an initially linear decrease followed by a gradual decrease. Compared with the theoretical tunnel loads, the measured and numerical values are relatively larger due to the loosening earth pressure theory ignoring the evolution process of the soil arching effect. The soil arching height decreases with the increase in stress level, measuring 1.75D (the initial diameter of the model tunnel), 1.65D, and 1.61D, respectively, which results from the lagging evolution of the soil arching effect under high-stress conditions. The formation of the shear band was affected by the stress-dependent dilatancy of the soil. At low stress levels, the shear band develops vertically upward. In contrast, at higher stress levels, the shear bands tilt towards the lateral side.
深埋盾构隧道开挖引起的土拱效应对地应力和位移影响较大。因此,揭示土拱效应的演化机制是准确预测深埋条件下隧道荷载的前提,而深埋条件下的土拱效应尚未得到充分认识。通过3次模型试验和8次数值模拟,分析了土拱演化过程中的应力场、位移场和应变场。试验和数值结果表明,地面反力曲线呈现先线性减小后逐渐减小的两阶段发展过程。由于松动土压力理论忽略了土拱效应的演化过程,与理论隧道荷载相比,实测值和数值均较大。土拱高度随应力水平的增加而减小,分别为1.75D(模型隧道初始直径)、1.65D和1.61D,这是高应力条件下土拱效应滞后演化的结果。剪切带的形成受土体应力依赖性剪胀的影响。在低应力水平下,剪切带垂直向上发育。相反,在较高的应力水平下,剪切带向侧向倾斜。
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引用次数: 0
Automated design framework for excavation retaining structures: Extending IFC standards and integrating BIM with geotechnical simulation 开挖挡土结构的自动化设计框架:扩展IFC标准并将BIM与岩土模拟集成
IF 8.3 1区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-10-01 Epub Date: 2025-07-24 DOI: 10.1016/j.undsp.2025.04.007
Qiwei Wan, Yuyuan Zhu, Haibin Ding, Wentao Hu, Changjie Xu
Challenges arise in automate design with building information modeling (BIM) in underground space. Industry foundation classes (IFC) standard lacks detailed entity objects for describing excavation retaining structures and geological information, and automated design based on BIM models is not yet for practical application. This study presents a novel automated framework. It integrates the extended IFC standard with mechanical analysis and BIM modeling, significantly advancing structural optimization and rebar detailing. Direct 3D model generation streamlines complex excavation projects, aligning with the trend towards automated, precision-driven design. Key contributions include: (1) the extension of the IFC standard to support excavation retaining structures with objects like IfcBracedPit and IfcPitWall, improving interoperability between geotechnical models and BIM systems; (2) the integration of heuristic algorithms for automated optimization of deformation control parameters, reducing manual intervention; and (3) the promotion of design methodology that bypasses two-dimensional modeling and directly generates three-dimensional models, enhancing efficiency and allowing engineers to focus on high-level decision-making. However, the framework is primarily suited for standard cross-section projects like subway stations and tunnels. Future work will focus on refining the framework for more complex geotechnical projects, addressing software independence and improving design robustness and independence.
建筑信息模型(BIM)在地下空间自动化设计中的应用提出了新的挑战。行业基础类(IFC)标准缺乏详细的实体对象来描述开挖支护结构和地质信息,基于BIM模型的自动化设计尚未得到实际应用。本研究提出了一种新的自动化框架。它将扩展的IFC标准与力学分析和BIM建模相结合,显著推进了结构优化和钢筋细节设计。直接的3D模型生成简化了复杂的挖掘项目,符合自动化,精确驱动设计的趋势。主要贡献包括:(1)扩展了IFC标准,以支持使用IfcBracedPit和IfcPitWall等对象的开挖挡土结构,提高了岩土模型和BIM系统之间的互操作性;(2)集成启发式算法实现变形控制参数的自动优化,减少人工干预;(3)推广绕过二维建模直接生成三维模型的设计方法,提高效率,使工程师能够专注于高层决策。然而,该框架主要适用于标准截面工程,如地铁站和隧道。未来的工作将侧重于为更复杂的岩土工程项目改进框架,解决软件独立性问题,提高设计的稳健性和独立性。
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Underground Space
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