Framework for Designing Sustainable Structures through Steel Beam Reuse

The architecture, engineering, and construction sector requires carbon-intensive materials, such as steel, in the construction process and generates a large amount of waste in the life cycle. This causes global warming and waste problems. The demand for the reuse of construction materials is increasing, although it is not the convention, to reduce the environmental impact. Although the sustainable effect of the reuse of materials has been proven in several studies, materials are not always reused in practice, owing to the lack of an information system for reusable materials and the economic uncertainty. In this study, we propose a framework for designing structures using reusable steel beams. The design framework consists of a material bank and a design support tool. The material bank provides information on reusable materials based on the building information modeling. The design support tool generates efficient material procurement plans and provides information about the environmental and economic impact of the project. In a case study used to verify the framework, CO2 emissions were reduced by up to 77% through material reuse, which was consistent with the results of previous studies. However, owing to the cost of processing reusable materials, the overall cost was found to increase by up to about 40%. Therefore, an economic analysis over the entire life cycle when using reusable materials needs to be done.

Designing ethical artifacts has resulted in creative design

Ethical aspects in engineering design have become increasingly important in recent years. A typical example is the recent rise of artificial intelligence (AI) ethics. This paper applies user studies of a design support tool to empirically verify that our ethical framework improves the creativity of an engineer’s design activity. The design support tool provides an environment for the promotion of ethical design perspectives and description. The experiments focus on two functionalities: semi-automatic generation and scenario path recommendation. These functions are designed around the application of ethical design theory, which extends the hierarchical representation of artifacts. Doing this enables users to reconsider their themes at the highest level of the hierarchy and to apply a wider conceptual space of design solutions. For example, by reconsidering the positions of their research themes in the space of the representation field, users can semi-automatically edit them and identify focal areas. Using the scenario path recommendation, designers can update their research themes after considering the ethical impacts of those themes on stakeholders. Both functions are realized by exploiting a knowledge base of ethical and technological discourses. Finally, the ethical design theory is updated based on some unexpected results of our user studies with regards to the cyclic relationship among theory, tools (i.e., experimental equipment), and observed data. For example, temporal dimensional aspects were confirmed as important.

A Framework for a Motorcycle Design Computer-Based Intelligent Tool

Motorcycle riders’ road experience, attitude and position have a large impact on safety. Besides these aspects, a motorcycle designer has to consider the aesthetical emotional value of such artefacts. This paper contributes a novel framework architecture supports designers to develop a rider-centred, safer motorcycle design, while at the same time considering human factors and the emotional values of such artefacts. This paper explores the requirements for this framework through a validated mixed method approach, gaining input from interviewed designers, stakeholders as well as surveyed riders. The proposed framework takes a user-centred approach, placing designers and riders at the framework’s core. Riders are an essential aspect as they assist in generating the knowledge which is critical to the operation of the framework. The framework acts as a support to the motorcycle designer, where it couples the intellectual resources of the designer with the knowledge capabilities of the framework to proactively support motorcycle design decision making. The proposed framework is driven by a harmonisation engine, where the aesthetic, ergonomic, persona and market trend domains are harmonised to achieve a balanced motorcycle design solution. The framework architecture will be employed to implement an intelligent computer-based motorcycle design support tool, in future work.

A DESIGN SUPPORT TOOL FOR IMPROVING MAINTENANCE SCHEDULING PROCESS

The challenge of user requirements for maintenance scheduling design in large asset-intensive industries suffers from lack of academic and empirical studies. Therefore, using a representative case study, this paper aims to: (1) identify the current practices and complex scheduling requirements; (2) propose a design support tool to optimize the maintenance scheduling process; and (3) report the gained benefits. The results reveal that the proposed tool can decrease the resource requirements, increase the capacity utilization, and reduce the cost while addressing the complex user requirements.

Extracting and Analysing Design Process Data from Log Files of ICT Supported Co-Creative Sessions

The observation of designers' behaviour in collaborative design activities and the analysis of protocols improved the understanding of how novel ideas emerge, what occurs among designers and, indirectly, what methods have a good impact on the outcomes. Yet, protocol analysis requires recording the design sessions, often in a simulated environment, thus introducing a bias in the observation. Moreover, the analysis takes up to 1000 times the duration of the observed design session. These limitations definitely hinder the scalability of this practice to large experiments in real operational environments.This paper investigates the possibility to use the data collected in log files, automatically recorded during collaborative design sessions assisted by an ICT design support tool, as a means to extract relevant information about the design process and ultimately to infer insights about co-designers' cognition during the session. In this perspective, the paper proposes a set of metrics tailored to an Augmented Reality-based collaborative design tool. The study has been carried about by processing the data collected in 5 real case studies conducted in three different design companies.