Mechanical Performance Prediction for Sustainable High-Strength Concrete Using Bio-Inspired Neural Network

Mechanical Performance Prediction for Sustainable High-Strength Concrete Using Bio-Inspired Neural Network

High-strength concrete (HSC) is a functional material possessing superior mechanical performance and considerable durability, which has been widely used in long-span bridges and high-rise buildings. Unconfined compressive strength (UCS) is one of the most crucial parameters for evaluating HSC perfor...

Full description

Bibliographic Details
Main Authors: Sun, J., Wang, J., Zhu, Z., He, R., Peng, C., Zhang, C., Huang, J., Wang, Yufei, Wang, Xiangyu
Format: Journal Article
Language:English
Published: MDPI 2022
Subjects:
Science & Technology
Technology
Construction & Building Technology
Engineering, Civil
Engineering
high-strength concrete
unconfined compressive strength
beetle antennae search
backpropagation neural network
sensitivity analysis
ENGINEERED CEMENTITIOUS COMPOSITES
ANGLE SHEAR CONNECTORS
FUZZY INFERENCE SYSTEM
COMPRESSIVE STRENGTH
COLUMN CONNECTIONS
FIREFLY ALGORITHM
BEAMS
OPTIMIZATION
BEHAVIOR
SEARCH
Online Access:http://purl.org/au-research/grants/arc/LP180100222
http://hdl.handle.net/20.500.11937/90923

Internet

http://purl.org/au-research/grants/arc/LP180100222
http://hdl.handle.net/20.500.11937/90923

Similar Items