Agent-based modelling methods for fabrication-oriented design of adaptive modular structures made from precast concrete

高效的、负载适应的结构的特点是高度的组件分化。根据“大尺度的个性，小尺度的相似性”的原则，这种可变性是在系列化生产条件下，通过自适应的基本模块来实现的。为了在速度、质量和同时的灵活性方面激活建筑行业基于流程的制造方法的自适应模块化建造方法的潜力，因此计算设计方法是必要的，它使得构件几何形状的适应性以及面向生产的规划和设计都是必要的。因此，拟议项目的重点是考虑到分段、连接、生产和组装等多方面标准的模块化混凝土结构设计的适当设计方法问题。目标是开发符合设计过程要求的一致的数字模型，并形成数字制造的基础。然而，重点不仅在于一致性，还在于通过系统地反馈来自设计阶段的要求参数来整合到设计中，这些参数通常只在施工开发阶段考虑。这不是设计过程中的零星反馈，而是通过自动化的、基于规则的数字“循环”进行的高频迭代。除了上述标准外，还特别关注结构设计与生命周期评价和生命周期评价和生命周期评价的接口。建议的方法是基于主体的建模(ABM)，其绘制复杂和相互关系的能力超越了数据库驱动或参数规划方法，申请人在综合计算设计领域的许多初步工作中已经证明了这一点。在此方法框架的基础上，ABM方法将根据预制混凝土结构的规划和生产要求进行推广。因此，ABM方法的发展包括系统和工艺参数的分析和系统化，例如关于模块化、功能集成和模板规划，以及将相关系统和工艺参数转移到基于规则的代理模型中。首先对基于代理的建模和规划方法的要求进行综合，作为一种普遍适用的数字预制混凝土构件的规划方法，然后在具体的案例研究中对该方法进行验证和评价。这个项目的一个新的、本质的贡献是通过加强学习来优化主体的行为。在未来，该方法不仅作为一种集成设计方法，而且作为一种集成传感器的CPPS框架内的控制和调节方法。

Highly efficient, load-adapted structures are characterized by a high degree of component differentiation. According to the principle "individuality on a large scale - similarity on a small scale", this variability is to be realized by adaptive basic modules under the conditions of serial production. In order to activate the potential of adaptive modular construction methods with flow-based manufacturing methods for the building industry with regard to speed, quality and simultaneous flexibility, computational design methods are therefore necessary, which enable both adaptability of the component geometry as well as production-oriented planning and design. The focus of the proposed project is therefore the question of suitable design methods for the design of modularised concrete structures, taking into account multi-criteria aspects of segmentation, joining, production and assembly. The goal is the development of consistent digital models that meet the requirements of the design process and form the basis for digital fabrication. However, the focus is not only on consistency, but also on the integration into the design through systematic feedback of requirement parameters from design phases that are typically only considered during construction development phases. This is not a sporadic feedback in the design process, but high-frequency iterations through automated, rule-based digital "loops". In addition to the aforementioned criteria, special attention is also paid to the interfaces with structural design and LCA and LCC.The proposed approach is agent-based modelling (ABM), whose ability to map complex and reciprocal relationships beyond database-driven or parametric planning methods has been demonstrated in numerous preliminary work of the applicant in the field of integrative, computational design. Based on this methodical framework, the ABM method is to be extended with regard to the requirements from the planning and production of precast concrete constructions. The development of ABM methods for the fabrication-oriented design of adaptive modular construction methods from precast concrete parts therefore includes the analysis and systematisation of system and process parameters, e.g. with regard to modularisation, functional integration and formwork planning, as well as the transfer of the relevant system and process parameters into a rule-based agent model. The synthesis of the requirements in the agent-based modelling and planning approach first takes place as a generally applicable planning methodology for digitally produced precast concrete elements before the method is validated and evaluated in a specific case study. A new, essential contribution of this project is the optimization of agent behavior through reinforcing learning.In the future, the method is not only relevant as an integrative design approach, but also as a control and regulation method within the framework of a sensor-integrated CPPS.