Your browser doesn't support javascript.
loading
Shape optimization of egg-shaped sewer pipes based on the nondominated sorting genetic algorithm (NSGA-II).
Wu, Hanting; Huang, Yangrui; Chen, Lei; Zhu, Yingjie; Li, Huaizheng.
Afiliação
  • Wu H; College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, 200092, China. Electronic address: 1930561@tongji.edu.cn.
  • Huang Y; College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, 200092, China. Electronic address: yangrui.huang@tongji.edu.cn.
  • Chen L; College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.
  • Zhu Y; College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, 200092, China.
  • Li H; College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China
Environ Res ; 204(Pt A): 111999, 2022 03.
Article em En | MEDLINE | ID: mdl-34506787
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 12_ODS3_hazardous_contamination Base de dados: MEDLINE Assunto principal: Esgotos / Águas Residuárias Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 12_ODS3_hazardous_contamination Base de dados: MEDLINE Assunto principal: Esgotos / Águas Residuárias Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Article