-
Towards machine learned generative designGradišar, Luka, gradbenik, 1995- ; Dolenc, Matevž ; Klinc, Robert, gradbeništvo in informatikaMachine learned generative design is an extension of the generative design process, addressing its inherent limitations, particularly those of interoperability. The proposed approach uses machine ... learning-based surrogate models, trained on computational model data, to replicate design evaluations and integrate them into a common environment. In this way, design alternatives can be generated and tested that satisfy all design requirements and considerations. The effectiveness of this approach is demonstrated by the design and optimisation of the enclosure structure for the New Robotic Telescope. Its complexity is characterised by multiple operating states that the enclosure can assume, in particular the closed state and the opening/closing state, each of which has a different structural behaviour. Using our approach, the results from each state were replicated with machine learning models and combined into a single evaluation model. This resulted in findin g multiple solutions that outperformed the benchmark design. The results demonstrate not only the success of our method over conventional strategies, but also highlight its potential to redefine future design optimisation processes.Vir: Automation in construction. - ISSN 0926-5805 (Vol. 159, [article no.] 105284, Mar. 2024, 16 str.)Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasleLeto - 2024Jezik - angleškiCOBISS.SI-ID - 180736259
Avtor
Gradišar, Luka, gradbenik, 1995- |
Dolenc, Matevž |
Klinc, Robert, gradbeništvo in informatika
Teme
računsko načrtovanje |
generativno načrtovanje |
strojno učenje |
optimizacija |
nadomestno modeliranje |
computational design |
generative design |
machine learning |
optimization |
surrogate modelling
vir: Automation in construction. - ISSN 0926-5805 (Vol. 159, [article no.] 105284, Mar. 2024, 16 str.)
Vnos na polico
Trajna povezava
- URL:
Faktor vpliva
Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
---|
Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
---|---|
Gradišar, Luka, gradbenik, 1995- | 53602 |
Dolenc, Matevž | 17759 |
Klinc, Robert, gradbeništvo in informatika | 27688 |
Izberite prevzemno mesto:
Prevzem gradiva po pošti
Obvestilo
Gesla v Splošnem geslovniku COBISS
Izbira mesta prevzema
Mesto prevzema | Status gradiva | Rezervacija |
---|
Prosimo, počakajte trenutek.