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New Research Aims To Elevate Tunneling

机译:新研究旨在提升隧道效应

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摘要

As builders of infrastructure burrow below grade, the stakes grow higher. Underground conditions aren't always clear before excavation, and irregularities can prove costly, slowing progress on projects valued in the billions of dollars. As a result, industry and academia are investigating new technologies, including greater automation of tunneling systems and the imaging of terrain that lies ahead of them, to ensure operations proceed as efficiently and safely as possible. Particularly challenging are the multiple moving parts and attendant monitoring involved in excavating larger underground tunnels. Tunnel-boring machines (TBMs)-the massive, wormlike systems that chew through earth to create openings for rail, road, water, wastewater, utility systems and the like-produce continuous streams of sensor-generated data as they navigate complex, shifting ground conditions, sometimes hundreds of feet beneath the earth's surface.
机译:随着基础设施建设者的钻探低于坡度,风险越来越高。开挖之前地下条件并不总是很清楚,不规则现象可能会造成高昂的代价,从而减慢了数十亿美元项目的进度。因此,工业界和学术界正在研究新技术,包括提高隧道系统的自动化程度以及对它们前面的地形进行成像,以确保运营尽可能高效,安全地进行。尤其具有挑战性的是挖掘大型地下隧道所涉及的多个运动部件和随之而来的监控。隧道掘进机(TBM)-巨大的蠕虫状系统,可以在泥土中咀嚼,从而为铁路,公路,水,废水,公用事业系统等提供开口,当它们在复杂的,不断变化的地面中行驶时,会产生连续的传感器生成数据在某些情况下,有时在地球表面以下数百英尺处。

著录项

  • 来源
    《Engineering news-record》 |2018年第8期|30-31|共2页
  • 作者

    John Gregerson;

  • 作者单位
  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 04:01:54

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