Compressive strength prediction of rice husk ash using multiphysics genetic expression programming
Rice husk ash (RHA) is obtained by burning rice husks. An advanced programming technique known as genetic expression programming (GEP) is used in this research for developing an empirical multiphysics model for predicting the compressive strength of RHA incorporated concrete. A vast database compris...
保存先:
主要な著者: | Aslam, F., Elkotb, M.A., Iqtidar, A., Khan, M.A., Javed, M.F., Usanova, K.I., Khan, M.I., Alamri, S., Musarat, M.A. |
---|---|
フォーマット: | 論文 |
出版事項: |
Ain Shams University
2022
|
オンライン・アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118766459&doi=10.1016%2fj.asej.2021.09.020&partnerID=40&md5=87657372a1959d8b9e651dc0d9b883e5 http://eprints.utp.edu.my/33131/ |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Compressive strength prediction of rice husk ash using multiphysics genetic expression programming
著者:: Aslam, F., 等
出版事項: (2022) -
Predicting the ultimate axial capacity of uniaxially loaded cfst columns using multiphysics artificial intelligence
著者:: Khan, S., 等
出版事項: (2022) -
Concrete by Preplaced Aggregate Method Using Silica Fume and Polypropylene Fibres
著者:: Khanzada, F.A., 等
出版事項: (2022) -
Predictive modeling of compressive strength of sustainable rice husk ash concrete: Ensemble learner optimization and comparison
著者:: Iftikhar, Bawar, 等
出版事項: (2022) -
Axial behavior of concrete-filled double-skin tubular stub columns incorporating PVC pipes
著者:: Javed, M.F., 等
出版事項: (2021)