Parameter Recognition of Engineering Constants of CLSMs in Civil Engineering Using Artificial Neural Networks

Controlled low-strength materials (CLSMs) had been widely applied to excavation and backfill in civil engineering. However, the engineering properties of CLSM in these embankments vary dramatically due to different contents involved. This study is proposed to employ the ANSYS software and two differ...

Full description

Autores:

Tipo de recurso:

Book

Fecha de publicación:

2017

Institución:

Universidad de Bogotá Jorge Tadeo Lozano

Repositorio:

Expeditio: repositorio UTadeo

Idioma:

eng

OAI Identifier:

oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16830

Acceso en línea:

https://www.intechopen.com/books/advanced-applications-for-artificial-neural-networks/parameter-recognition-of-engineering-constants-of-clsms-in-civil-engineering-using-artificial-neural
http://hdl.handle.net/20.500.12010/16830

Palabra clave:

Ingeniería civil
ingeniería de CLSM
Redes neuronales artificiales
Reconocimiento de parámetros

Rights

License

Abierto (Texto Completo)