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数量工程技术在南京长江隧道工程中风险辨别及事故防范的应用研究
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作者 钱维 金先龙 沈建奇 《中国工程科学》 2008年第10期22-30,共9页
以南京长江隧道工程为背景,提出了基于数量工程技术的风险提示及事故防范方法,即运用数值仿真方法,借助超级计算机的并行计算能力,建立盾构机进出洞,盾构机穿越长江大堤及穿越江中最浅覆土层,两台盾构机同时施工影响,盾构机穿越复合土... 以南京长江隧道工程为背景,提出了基于数量工程技术的风险提示及事故防范方法,即运用数值仿真方法,借助超级计算机的并行计算能力,建立盾构机进出洞,盾构机穿越长江大堤及穿越江中最浅覆土层,两台盾构机同时施工影响,盾构机穿越复合土层等工程关键问题的数量分析模型。基于该模型,对地表沉降过大、盾构机姿态偏移、开挖面失稳等工程风险进行了提示;分析了风险产生的机理、后果;提出了事故防范的措施,评价和验证了防范措施的有效性和合理性。 展开更多
关键词 南京长江隧道 数量工程技术 风险辨别与防范
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Estimation of the Gauging and the Calibration Time Interval for the Modern Total Stations
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作者 Evangelia Lambrou Antonios Antonakakis 《Journal of Civil Engineering and Architecture》 2015年第10期1210-1216,共7页
The modern TSs (total stations) have reached a very high level in the provided reading and reliability (accuracy and precision) of their measurements. The evolution of the digital technology has helped in this dir... The modern TSs (total stations) have reached a very high level in the provided reading and reliability (accuracy and precision) of their measurements. The evolution of the digital technology has helped in this direction. Thus, the TSs can support all requirements for the stake out and monitoring of modern survey engineering and constructions projects. Their complicated manufacturing process and the sensitivity of their components require gauging, adjusting and calibration at certain time intervals. This appears to be the only way in order to assure the precision of measurements provided by the manufacturer and the reliability of the works they are used for. The goal of this paper is to propose a method for the estimation of the gauging time interval for modern YSs. which could be used by any user. More specifically, the indispensable need for the TSs gauging is elevated and documented. All the parameters that influence their operation are registered. A model expressed by a scale of grades is defined, leading thus to an equation for the calculation of the time interval for the next needed gauging and calibration. 展开更多
关键词 Total station metrological check gauging CALIBRATION time interval.
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