Cellular growth algorithms for shape design of truss structures

Tschida, Colin; Silverberg, Larry

doi:10.1016/j.compstruc.2012.10.006

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…In addition, they are time-consuming and complex to conduct, especially where important number of research works have to be considered, due to its global and complete search process. On the other hand, AI domain proposes a variety of methods in order to improve the search process such as metaheuristic optimization methods that have been developed based on some principles inspired by theory of evolution (Katoch et al, 2021), animal's behaviour (Eberhart & Kennedy, 1995), medicine and cell biology (Tschida & Silverberg, 2013), and natural phenomena ( (Saka & Dogan, 2012), (Kaveh, 2017)). Simulated Annealing (Kirkpatrick et al, 1983) is one of the first metaheuristic methods that has been successfully applied in many case studies and domains ( (Eglese, 1990), (Kalivas, 1992), (Román-Román & Torres-Ruiz, 2015), (Chebbi et al, 2017), (Bandyopadhyay et al, 2021)), and still utilised and developed up until now ( (Ficarella et al, 2021), (Duan et al, 2021)).…”

Section: Introductionmentioning

confidence: 99%

Object-centred automated compliance checking: a novel, bottom-up approach

Doukari¹,

Greenwood²,

Rogage³

et al. 2022

ITcon

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Building Information Modelling (BIM) is changing how built assets are delivered and operated. A built asset is represented as a set of objects, each with an identity, attributes, and relations. This object-oriented nature enables new approaches for ensuring compliance with a range of requirements: e.g. industry guidelines; pro-ject and client-specific requirements; and building codes and standards. Furthermore, bottom-up design ap-proaches are known to be more suitable for quality control and design errors detection. Based on an adapted version of simulated annealing concept, this paper proposes an automated compliance checking classification and identifies a set of desired characteristics these methods should fulfil. It then demonstrates a bottom-up object-centred approach for automated model checking and the corresponding plugin prototype. The approach and the prototype enable four key processes and satisfy all desired characteristics of compliance checking methods including content validation, model completeness, smart object, and design option checking. To demonstrate the feasibility and accuracy of the approach, two case studies are processed using existing BIM objects libraries one of which is created by a major French manufacturer. All four steps were successfully completed, and the results show savings of around 125 minutes per object between the automated approach and traditional manual methods of working.

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