The design and analysis of engine crankshafts involves the use of a myriad of computer aided engineering design and analysis tools. To be successful in reducing cycle time to the finished product, these tools must be integrated into an environment in which common data is shared and the analyst need not be an expert in all areas. Currently, these different analysis are completed independent of each other by different engineers. This process requires the manual exchange of data which has proven to be both time consuming and error-prone. The process of integrating various analysis applications is the topic this paper will discuss. A process of integrating various analysis applications is presented which utilizes a Blackboard approach as an implementation tool. This paper also presents enhancements made to various analysis applications made possible by the integration of these applications into a common environment.
The research proposes the building of half a house akin to historic ‘back-to-back’ housing, withthe remaining ‘half’ built over the remaining lifetime of the owner, providing versatile andadaptable room and spaces for the life changes of the owner. The method is based on a uniqueAutodesk Generative Design defi nition providing a multi-objective design generation algorithmfor creating design iterations for the unbuilt future ‘half’. Each homeowner is able to then navigatethe thousands of design options generated to evaluate the potential cost of changes to the fabric(linked to the SPONS cost guide) of the house based on their individual lifetime changes; marriage,children, illness, dementia etc., to improve forward fi nancial planning. The work evaluates theeff ectiveness of the algorithm output through a series of comparisons with established ‘lifetimehome’ case studies. Keywords: generative, housing, modular, lifetime, planning, automated, algorithm, costing, house
The research considers buildings as a test case for the development and implementation of multi-objective optimized social distance layout redesign. This research aims to develop and test a unique methodology using software Wallacei and the NSGA-II algorithm to automate the redesign of an interior layout to automatically provide compliant social distancing using fitness functions of social distance, net useable space and total number of users. The process is evaluated in a live lab scenario, with results demonstrating that the methodology provides an agile, accurate, efficient and visually clear outcome for automating a compliant layout for social distancing.
The research addresses the decline of UK high street retail by providing a methodology for themulti-objective optimisation of existing retail stores to generate the most effi cient layout fora new hybrid community-use model. The work involves a live test case in Wigan, converted into aseries of diverse hybridised community spaces. A unique Grasshopper and Rhino defi nition testedfi tness values including cost, shelf space and effi ciency of retail area in parallel with optimisedconversion layouts for a diverse range of community uses in the same space, including as a cookingschool baby room and art gallery. The work goes on to evaluate the success of diff erent communityuse cases and demonstrates the viability of the method through the testing of a unique 1:1 multi-adaptable modular furniture system. Keywords: optimisation, retail, high street, grasshopper, Rhino, automated, algorithm, community
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