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Knowledge-based engineering for infrastructure facilities: assisted design of railway tunnels based on logic models and advanced procedural geometry dependencies

机译:基于知识的基础设施设施工程:基于逻辑模型和高级过程几何相关性的铁路隧道辅助设计

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The current design of infrastructure facilities is mainly driven by the application of guidelines, codes and international standards. The complex interpretation and geometric representation of those rules impedes the dynamic search for alternative solutions. Parallel to this, in recent years there has been an increasing tendency toward the adoption of 3D modeling solutions. Of particular benefit in the design of infrastructure facilities is the use of parametric modeling systems since they allow the definition of flexible models that can easily be adapted to satisfy changes in the boundary conditions. By defining dependencies and constraints, engineers are able to capture the underlying engineering knowledge in the parametric model. However, the design knowledge that can be defined by those instruments is limited to a reduced number of constraints and simple algebraic relations among parameters that are clearly insufficient to describe the complexity of engineering rules. To close this technological gap, this paper presents a novel knowledge-based engineering (KBE) approach that captures the design knowledge engineers apply in the interpretation and generation of infrastructure models based on rules specific for infrastructure facilities. To achieve this, distinct knowledge units named logic models capture the generation knowledge needed to convert the abstract information engineers must deal with into a corresponding parametric geometry model. In addition, this paper presents a methodology to integrate logic models with parametric design systems. To this end, logic models are introduced as a new set of domain-specific features responsible for the generation and management of the geometry, connecting the results with other part of the model by advanced procedural geometry dependencies. Finally, the proposed methodology is verified in a real case study for a suburban railway tunnel that is in the planning stage in the city of Munich, Germany. The paper concludes with a detailed discussion of the proposed approach and an outlook on future developments.
机译:当前基础设施的设计主要是由准则,规范和国际标准的应用所驱动。这些规则的复杂解释和几何表示法阻碍了对替代解决方案的动态搜索。与此平行的是,近年来,采用3D建模解决方案的趋势越来越大。在基础设施的设计中,特别有利的是使用参数化建模系统,因为它们允许定义灵活的模型,可以轻松地对其进行调整以满足边界条件的变化。通过定义依赖性和约束,工程师能够在参数模型中捕获基础工程知识。但是,那些仪器可以定义的设计知识仅限于减少的约束数量和参数之间的简单代数关系,这些显然不足以描述工程规则的复杂性。为了弥补这一技术差距,本文提出了一种新颖的基于知识的工程(KBE)方法,该方法捕获了工程师在基于基础设施设施特定规则的解释和基础设施模型生成中应用的设计知识。为此,名为逻辑模型的独特知识单元捕获了将工程师必须处理的抽象信息转换为相应的参数几何模型所需的生成知识。此外,本文提出了一种将逻辑模型与参数设计系统集成的方法。为此,将逻辑模型作为负责领域生成和管理的一组新的领域特定功能引入,通过高级过程几何依赖性将结果与模型的其他部分联系起来。最后,在针对德国慕尼黑市的规划阶段的郊区铁路隧道的实际案例研究中验证了所提出的方法。本文最后对提议的方法进行了详细讨论,并对未来的发展进行了展望。

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