Dynamic constitutive identification of concrete based on improved dung beetle algorithm to optimize long short-term...

Area of Science:

• Materials Science
• Civil Engineering
• Computational Mechanics

Background:

• Accurate identification of concrete dynamic properties is crucial for structural integrity.
• Existing methods for concrete damage identification face challenges with convergence accuracy and local optima.
• Understanding concrete's damage evolution and rheology is essential for reliable modeling.

Purpose of the Study:

• To develop a novel model for concrete dynamic principal identification with improved accuracy.
• To enhance the Dung Beetle Optimization Algorithm (DBO) for better performance in complex optimization tasks.
• To validate the proposed model's effectiveness in identifying concrete damage and predicting material behavior.

Main Methods:

• Utilized Split Hopkinson Pressure Bar (SHPB) tests to obtain concrete stress-strain curves and capture damage evolution.
• Developed an Improved Dung Beetle Algorithm (IDBO) by incorporating greedy lens imaging reverse learning, adaptive weighting factors, and PID control perturbation.
• Integrated the IDBO algorithm with a Long Short-Term Memory (LSTM) network to create the IDBO-LSTM model for dynamic homeostasis identification.

Main Results:

• The IDBO algorithm demonstrated superior optimization capabilities compared to DBO, Harris Hawk Optimization, Gray Wolf Optimization, and Fruit Fly Optimization algorithms.
• The IDBO-LSTM model successfully identified concrete material damage even without explicit damage consideration.
• Predictions from the IDBO-LSTM model closely matched experimental curves from SHPB tests when damage was considered.

Conclusions:

• The proposed IDBO-LSTM model offers a feasible and excellent approach for concrete dynamic principal identification.
• The enhanced IDBO algorithm overcomes limitations of the original DBO, leading to more accurate identification.
• This research provides a robust computational tool for analyzing concrete material behavior under dynamic loading conditions.