Prediction and sensitivity analysis of compressive strength in segregated lightweight concrete based on artificial neural network using ultrasonic pulse velocity

  1. Tenza-Abril, A.J.
  2. Villacampa, Y.
  3. Solak, A.M.
  4. Baeza-Brotons, F.
Journal:
Construction and Building Materials

ISSN: 0950-0618

Year of publication: 2018

Volume: 189

Pages: 1173-1183

Type: Article

DOI: 10.1016/J.CONBUILDMAT.2018.09.096 GOOGLE SCHOLAR HANDLE: https://hdl.handle.net/10045/80949
Repositorio Institucional de la Universidad de Alicante: lock_openOpen access Handle

Sustainable development goals

Data source: Scopus