Intelligent Substitution Models in Structural Design

结构设计中的智能替代模型

• 批准号: 316583829
• 负责人: Professorin Dr.-Ing. Martina Schnellenbach-Held
• 金额: --
• 依托单位: Institut für Massivbau
• 依托单位国家: 德国
• 项目类别: Research Units
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/316583829?language=en
• 关键词: Intelligent; Substitution; Models; Structural; Design

The consideration of structural design aspects in early phases of the building planning process leads to a reliable support of planning decisions as well as a significant increase in efficiency. In phase 1 of subproject 5 (TP5), the research approach comprised the elaboration of a knowledge-based system (KBS) that provides structural engineering knowledge depending on the development level. Using the implemented intelligent substitution models, applicable suggestions are determined as options and structural elements of the building design are evaluated. A concept for the identification of compromises and a substitution model for the estimation of modification effects have been developed for the processing of design changes.In the second phase of TP5, basic principles will be developed that utilize the KBS for the completion of the involved knowledge, for the encouragement of interdisciplinary cooperation, for the transparency of planning decisions and finally for the optimization of the design process. A universal applicability of the provided planning support necessitates the integration of knowledge that involves other building materials and construction methods. The integrability into the KBS is verified at the example of wood and wood composite constructions. Material-specific knowledge bases and associated TSK inference systems are implemented and an evaluation variant for TP4 is presented. An early consideration of complex cross-disciplinary design criteria results in a focused planning support that increases the acceptance and efficiency of the design process and promotes interdisciplinary cooperation. The integration of such complex requirements into the intelligent substitution models of the KBS is investigated through acquisition of expert rules for criteria and boundary conditions as well as the verification of their application in the inference systems. With regard to an efficient design process, the early identification and processing of highly complex structural problems is of particular importance. Since the computational efforts of parameter studies are generally very high due to their complexity, natural language rules are used for expert estimations and special engineering experience. For the utilization of these linguistic knowledge sources in the KBS, the adaptivity of the existing knowledge bases as well as the usability of inferences with linguistic variables according to the MA model are investigated. The comprehensibility of planning decisions is ensured through model developments for interdisciplinarity, transparency and adaptivity of the design assessment. For this purpose, an evaluation model for the quality of entire supporting structures, an explanation component for structural justifications and interfaces for the adaptation of the assessments are developed. The resulting knowledge-based system ultimately provides an optimized decision support for the building design process in early phases.

在建筑规划过程的早期阶段考虑结构设计方面，为规划决策提供可靠的支持，并显着提高效率。在子项目5（TP5）的第1阶段，研究方法包括一个基于知识的系统（KBS），根据发展水平提供结构工程知识的阐述。使用实施的智能替代模型，适用的建议被确定为选项和建筑设计的结构元素进行评估。在TP5的第二阶段，将开发出利用KBS完善相关知识、促进跨学科合作、提高规划决策的透明度以及优化设计过程的基本原则。所提供的规划支持的普遍适用性需要整合涉及其他建筑材料和施工方法的知识。在木材和木材复合材料结构的例子中验证了KBS的可集成性。材料特定的知识库和相关的TSK推理系统的实施和TP4的评价变体。尽早考虑复杂的跨学科设计标准，可以提供有针对性的规划支持，提高设计过程的可接受性和效率，并促进跨学科合作。这种复杂的需求集成到智能替代模型的知识库系统的研究，通过收购专家规则的标准和边界条件，以及验证其应用在推理系统。关于高效的设计过程，早期识别和处理高度复杂的结构问题尤为重要。由于参数研究的计算工作量通常非常高，由于其复杂性，自然语言规则用于专家估计和特殊的工程经验。为了在知识库系统中利用这些语言知识源，研究了现有知识库的自适应性以及根据MA模型的语言变量推理的可用性。规划决策的可理解性通过设计评估的跨学科性、透明度和适应性的模型开发来确保。为此目的，开发了一个评价模型，用于评价整个支撑结构的质量、结构合理性的解释部分和用于适应评估的接口。由此产生的知识为基础的系统，最终提供了一个优化的决策支持的建筑设计过程中的早期阶段。