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Evaluation of productivities influenced by disturbances and different soil compositions in microtunnelling using process simulation

机译:使用过程仿真评估微隧道中受干扰和不同土壤成分影响的生产率

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摘要

In microtunnelling, productivity is often greatly reduced due to stoppages caused by breakdowns (e.g. due to technical failures, accidents or difficult soil conditions) or organisational shortcomings. Hence, there is a need for a better understanding of the construction process and the factors that influence productivity in order to increase the efficiency of microtunnel boring machines. In this study, a flexible simulation module called MiSAS (Microtunnelling: Statistics, Analysis and Simulation) was developed for analysing these processes and identifying the influence of disturbances and different soil compositions on the productivity of microtunnelling operations. In view of these objectives, a model describing the microtunnelling process was created using the Systems Modelling Language (SysML). Subsequently, the simulation software AnyLogic was used to apply the MiSAS based on the SysML formalisation. The implementation of the proposed methodologies utilises discrete event simulation (DES) and system dynamic (SD) modelling. An actual project in the city of Recklinghausen, Germany was used to validate and evaluate the impact of disturbances and different soil compositions on productivity.
机译:在微隧道管理中,由于故障(例如由于技术故障,事故或困难的土壤条件)引起的停工或组织缺陷,通常会大大降低生产率。因此,需要对构造过程和影响生产率的因素有更好的理解,以提高微隧道镗床的效率。在这项研究中,开发了一个名为MiSAS(微隧道:统计,分析和模拟)的灵活模拟模块,用于分析这些过程并确定干扰和不同土壤成分对微隧道作业生产率的影响。鉴于这些目标,使用系统建模语言(SysML)创建了描述微隧道过程的模型。随后,仿真软件AnyLogic被用于基于SysML形式化的MiSAS。所提出方法的实现利用离散事件仿真(DES)和系统动态(SD)建模。德国雷克林豪森市的一个实际项目用于验证和评估干扰和不同土壤成分对生产力的影响。

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