Source: Proceedings. Conference titles: Ibero-Latin American Congress on Computational Methods in Engineering - CILAMCE. Unidade: EESC
Assunto: ESTRUTURAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KROETZ, Henrique Machado et al. Solution of time-variant risk optimization problems using two-level active learning kriging approach. 2019, Anais.. Belo Horizonte, MG: ABMEC, 2019. Disponível em: https://repositorio.usp.br/directbitstream/74a053cc-6e90-4a02-a7fa-c3aa0fc225cb/art1.pdf. Acesso em: 03 nov. 2024.APA
Kroetz, H. M., Moustapha, M., Beck, A. T., & Sudret, B. (2019). Solution of time-variant risk optimization problems using two-level active learning kriging approach. In Proceedings. Belo Horizonte, MG: ABMEC. Recuperado de https://repositorio.usp.br/directbitstream/74a053cc-6e90-4a02-a7fa-c3aa0fc225cb/art1.pdfNLM
Kroetz HM, Moustapha M, Beck AT, Sudret B. Solution of time-variant risk optimization problems using two-level active learning kriging approach [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://repositorio.usp.br/directbitstream/74a053cc-6e90-4a02-a7fa-c3aa0fc225cb/art1.pdfVancouver
Kroetz HM, Moustapha M, Beck AT, Sudret B. Solution of time-variant risk optimization problems using two-level active learning kriging approach [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://repositorio.usp.br/directbitstream/74a053cc-6e90-4a02-a7fa-c3aa0fc225cb/art1.pdf