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大直径泥水盾构工地组装及相关技术浅析
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作者 高界 《中文科技期刊数据库(全文版)工程技术》 2021年第12期414-416,共3页
随着我国城市交通、大型过江过河交通工程的兴建,采用泥水盾构修建隧道隧道的施工技术的案例逐步增多。在盾构施工的工程中,盾构的组装是盾构施工的前提条件。大直径泥水盾构的组装因其分块数量多、重量大等问题的存在,与常规直径相比... 随着我国城市交通、大型过江过河交通工程的兴建,采用泥水盾构修建隧道隧道的施工技术的案例逐步增多。在盾构施工的工程中,盾构的组装是盾构施工的前提条件。大直径泥水盾构的组装因其分块数量多、重量大等问题的存在,与常规直径相比有很大不同,存在很多自己的特点。文章结合隧道盾构的组装情况对大直径泥水盾构的工地组装流程,组装过程中的关键技术等问题进行研究,希望对此类大直径盾构的工地组装具有指导意义。 展开更多
关键词 大直径泥水 盾构工地 组装技术
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The Grouting Influence of Shield Tunnelling on Sand-Gravel Soil
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作者 於昌荣 周松 黄醒春 《Journal of Donghua University(English Edition)》 EI CAS 2009年第5期467-473,共7页
Sand-gravel soil may not be suitable for structure use or excavation use as a result of their permeability and low-intensity.It may cause serious damage to the upper part of the structure for its considerable stress.H... Sand-gravel soil may not be suitable for structure use or excavation use as a result of their permeability and low-intensity.It may cause serious damage to the upper part of the structure for its considerable stress.How to assess and control the deformation of the ground is the main purpose of the soil reinforcement technology.Grouting is a method commonly used to meet those requirements.This study is designed to investigate the effects on shield construction in the sand-gravel stratum. 展开更多
关键词 shield tunnelling sandgravel soil groundmovement GROUT
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Application of an immune algorithm to settlement prediction 被引量:5
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作者 Jia GUO Jun-jie ZHENG Yong LIU 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2009年第1期93-100,共8页
The settlement curve of the foundation endured the ramp load is an S-type curve,which is usually simulated via Poisson curve.Aimed at the difficulty of preferences in Poisson curve,an immune algorithm (IA) is used.IA ... The settlement curve of the foundation endured the ramp load is an S-type curve,which is usually simulated via Poisson curve.Aimed at the difficulty of preferences in Poisson curve,an immune algorithm (IA) is used.IA is able to obtain a multiple quasi-optimum solution while maintaining the population diversity.In this paper,IA is used in an attempt to obtain accurate settlement prediction.The predicted settlements obtained by IA are compared with those predicted by the least squares fitting method (LSM),the Asaoka method and the genetic algorithm (GA).The results show that IA is a useful technique for predicting the settlement of foundations with an acceptable degree of accuracy and has much better performance than GA and the Asaoka methods. 展开更多
关键词 SETTLEMENT PREDICTION FOUNDATION Immune algorithm (IA)
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Surface settlement caused by twin-parallel shield tunnelling in sandy cobble strata 被引量:26
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作者 Chuan HE Kun FENG +1 位作者 Yong FANG Ying-chao JIANG 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2012年第11期858-869,共12页
City metro tunnels are usually constructed as twin-parallel tunnels and their adjacent construction may lead to surface deformation,affecting the surface environment and the safety of the tunnels.Due to its strong dis... City metro tunnels are usually constructed as twin-parallel tunnels and their adjacent construction may lead to surface deformation,affecting the surface environment and the safety of the tunnels.Due to its strong dispersion,sandy cobble strata can be easily disturbed by shield tunneling.Based on the project of the Chengdu Metro Line 1,field and model tests were carried out to study the surface settlement caused by shield tunneling in sandy cobble strata by measuring surface settlement curves,ground loss ratios and construction influence zones.The discrete element method(DEM) was used to study the factors affecting the formation of ground arches in sandy cobble strata at the microscopic level.Results show that the shape of the surface settlement curve in sandy cobble strata is different from that in soft soil.The buried depth and clear spacing of the two tunnels had a significant impact on the formation of ground arches. 展开更多
关键词 Twin-parallel shield tunneling Surface settlement Ground loss Field test Discrete element method(DEM) Model test
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