Classification method for failure modes of RC columns based on key characteristic parameters
An efficient and accurate classification method for failure modes of reinforced concrete (RC) columns was proposed based on key characteristic parameters. The weight coefficients of seven characteristic parameters for failure modes of RC columns were determined first based on the support vector mach...
Main Authors: | Yu, Bo, Yu, Zecheng, Li, Qiming, Li, Bing |
---|---|
Other Authors: | School of Civil and Environmental Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/164607 |
Similar Items
-
Machine Learning Models for Predicting Shear Strength and Identifying Failure Modes of Rectangular RC Columns
by: Van-Tien Phan, et al.
Published: (2022-09-01) -
A Machine-Learning-Based Failure Mode Classification Model for Reinforced Concrete Columns Using Simple Structural Information
by: Subin Kim, et al.
Published: (2024-02-01) -
Prediction of the Yield Performance and Failure Mode of RC Columns under Cyclic-Load by PSO-BP Neural Network
by: Ge Zhang, et al.
Published: (2022-04-01) -
Predictions and Evolution Characteristics of Failure Modes of Degenerate RC Piers
by: Sicong Hu, et al.
Published: (2023-01-01) -
Integration of manual assembly complexity into process failure mode and effect analysis (PFMEA) /
by: Nur Azura Ramlee, 1983- , author 610834, et al.
Published: (2017)