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Citations
... If the results are not satisfying, the design is changed iteratively. If design modifications are made in the geometric modelling tools, those changes need to be remodelled as well in the engineering tools, an approach which is time consuming and can lead to errors (Verbeeck, Loos, et al. [24]). ...
... exact dimensions of elements, material properties, exact load cases etc.) (Rolvink et al. [18]). In addition, the results generated with a finite element analysis software can in general only be checked case per case, making it hard for the structural designer to compare design alternatives (Verbeeck, Loos et al. [24]). However, as discussed before, the intrinsic process of the conceptual design phase consists of comparing design alternatives. ...
... Furthermore, an experienced structural designer will start to point compare structures: maximal normal forces, maximal bending moments, maximal deformations, etc. Yet this gives punctual information about peak performance, while neglecting the view on the overall performance and behaviour (Verbeeck, Loos et al. [24]). ...
This paper presents a new approach for comparing different structural design alternatives based on data visualisation in the conceptual design phase. The aim of the proposed methodology is to focus on the overall structural behaviour and to include non-numeric architectural parameters. By having the information of all different design proposals at hand, the designer is able to make informed design decisions. Previous research will be discussed in order to introduce this new approach. Illustrated with the cases of a gridshell and bowstring bridges, it turns out that the use of data visualisation and dashboards enriches the design process and that the informed decision-making process is facilitated. What is presented in this paper is part of ongoing research and is focussing on the concept of the new approach and its research context. To have a clear understanding of this research context, an overview of terminology, difficulties of the current design process, and research topics with similar goals are discussed.
Structural analysis of projects generates a large amount of data, especially when it involves complex or not modular geometries. By analyzing the generated data, it is possible to create optimized outputs for structures in an iterative process, until reaching a solution that satisfies the project constraints. Often, it is challenging to conciliate optimization with issuing of intermediate versions to be used for project coordination by other stakeholders. This is due to recurrent project changes, related to architectural or client requirements that arise during the design process. Moreover, structural design is generally carried out in a variety of software by different engineers within the design team. Therefore, it is rather challenging to organize, control and analyze all the information generated in structural design at each step, aiming to enhance both general team efficiency and structural optimization. The increasing popularity of BIM (Building Information Modeling) in this field could be a pivoting factor towards data-driven design and informed decision-making in all levels of a structural project team.
The architectural design process is characterised by continuously comparing different design alternatives throughout the whole design process. Collaborators from different fields of expertise need to work closely together and they are expected to give quick but sufficient feedback on the available design alternatives in order to proceed in the collaborative process. However, for structural engineers making these comparisons on the structural behaviour and efficiency is hard to do. The lack of appropriate tools disables the structural engineer to gain quickly and qualitatively insight into a set of design alternatives. This paper discusses a novel mind-set for structural designers, that fills this gap by informed decision-making based on data visualisation. This kind of data exploration is only rarely used in the structural design field. Since visual displays of data allow for better decision-making, this opportunity should be leveraged by structural designers.
Five different bow-string bridge geometries are compared as a case study with the help of data visualisation. As a consequence, this paper focuses on the comparing practice of structural parametric models of the same structural typology. This research illustrates that the use of data visualisations can help designers to quickly understand the structural behaviour and performance of different design alternatives. This way, informed decision-making through comparing is facilitated.
This paper proposes a novel approach for comparing different structural geometries based on data visualisation and illustrates this with bowstring bridges as case study. The aim of the approach is to have a quick and overall insight in different design proposals at the beginning of the design process. The approach will use a dashboard that is a combination of charts. This dashboard will enable the (structural) designer to have all information on the structural behaviour of a series of design proposals at hand and to make informed design decisions based on the compact dashboard.
