Efficiency of Data-Driven Hybrid Algorithms for Steel-Column Base Connection Failure Mode Detection
Publication: Practice Periodical on Structural Design and Construction
Volume 28, Issue 1
Abstract
Base connections join the column to the foundation, thereby providing a superstructure fixation to the foundation, and play a major role in the steel structure’s ductile behavior. Seismic damage to these connections can dramatically increase the cost of restoration and the risk of destruction. The purpose of this research was to evaluate the effectiveness of three advanced hybrid models, which combine the particle swarm optimization (PSO) algorithm, Runge–Kutta optimizer (RUN), and sparrow search algorithm (SSA) with an artificial neural network (ANN), to recognize the failure modes of the steel-column base plate (SCBP) connection. Data from prior experiments were used as inputs to the models. A comparison was performed between the results of the proposed models (PSO-ANN, RUN-ANN, and SSA-ANN) and the previous studies that utilized different machine learning algorithms, such as support vector machine and naive Bayes, for the failure mode identification of the SCBP connections. Examination of all models showed that the hybrids RUN-ANN, PSO-ANN, SSA-ANN, and decision tree perform better than the others models and can predict the failure mode with an accuracy of 95%, 92%, 90%, and 91%, respectively. The SHapley Additive exPlanation methodology is also used in this study to demonstrate the importance and contribution of the components that influence SCBP connections failure mechanism identification.
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
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Information & Authors
Information
Published In
Practice Periodical on Structural Design and Construction
Volume 28 • Issue 1 • February 2023
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Dec 10, 2021
Accepted: Jul 26, 2022
Published online: Nov 7, 2022
Published in print: Feb 1, 2023
Discussion open until: Apr 7, 2023
ASCE Technical Topics:
- Algorithms
- Analysis (by type)
- Columns
- Connections (structural)
- Engineering fundamentals
- Failure analysis
- Failure modes
- Forensic engineering
- Hybrid methods
- Mathematics
- Methodology (by type)
- Models (by type)
- Optimization models
- Steel columns
- Structural engineering
- Structural failures
- Structural members
- Structural systems
Authors
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