Compressive Strength Prediction of Self-Compacting Concrete-A Bat Optimization Algorithm Based ANNs
This article examines the feasibility of using bat-trained artificial neural networks (ANNs) to predict the compressive strength of self-compacting concrete (SCC). The nonlinear behavior of SCC challenges traditional modeling techniques. Therefore, this work takes advantage of the superior predictiv...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/8404774 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832563515389378560 |
|---|---|
| author | Amir Andalib Babak Aminnejad Alireza Lork |
| author_facet | Amir Andalib Babak Aminnejad Alireza Lork |
| author_sort | Amir Andalib |
| collection | DOAJ |
| description | This article examines the feasibility of using bat-trained artificial neural networks (ANNs) to predict the compressive strength of self-compacting concrete (SCC). The nonlinear behavior of SCC challenges traditional modeling techniques. Therefore, this work takes advantage of the superior predictive performance of ANNs coupled with the bat algorithm. A database of 205 SCC samples collected from the literature is used to develop the ANN model. The correctness of the bat-based neural network model is then substantiated by contrasting its performance with that of the particle swarm optimization and teaching-learning-based optimization algorithms employed to train a neural network model. The statistical indices indicate the superior performance of the bat-based ANN model. In addition, a sensitivity analysis was carried out to determine the effects of various input parameters on the compressive strength of SCC. |
| format | Article |
| id | doaj-art-aac9cc7723824df09c9a4ec48d8ea3ae |
| institution | Kabale University |
| issn | 1687-8442 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-aac9cc7723824df09c9a4ec48d8ea3ae2025-02-03T01:20:00ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/8404774Compressive Strength Prediction of Self-Compacting Concrete-A Bat Optimization Algorithm Based ANNsAmir Andalib0Babak Aminnejad1Alireza Lork2Department of Civil EngineeringDepartment of Civil EngineeringDepartment of Civil EngineeringThis article examines the feasibility of using bat-trained artificial neural networks (ANNs) to predict the compressive strength of self-compacting concrete (SCC). The nonlinear behavior of SCC challenges traditional modeling techniques. Therefore, this work takes advantage of the superior predictive performance of ANNs coupled with the bat algorithm. A database of 205 SCC samples collected from the literature is used to develop the ANN model. The correctness of the bat-based neural network model is then substantiated by contrasting its performance with that of the particle swarm optimization and teaching-learning-based optimization algorithms employed to train a neural network model. The statistical indices indicate the superior performance of the bat-based ANN model. In addition, a sensitivity analysis was carried out to determine the effects of various input parameters on the compressive strength of SCC.http://dx.doi.org/10.1155/2022/8404774 |
| spellingShingle | Amir Andalib Babak Aminnejad Alireza Lork Compressive Strength Prediction of Self-Compacting Concrete-A Bat Optimization Algorithm Based ANNs Advances in Materials Science and Engineering |
| title | Compressive Strength Prediction of Self-Compacting Concrete-A Bat Optimization Algorithm Based ANNs |
| title_full | Compressive Strength Prediction of Self-Compacting Concrete-A Bat Optimization Algorithm Based ANNs |
| title_fullStr | Compressive Strength Prediction of Self-Compacting Concrete-A Bat Optimization Algorithm Based ANNs |
| title_full_unstemmed | Compressive Strength Prediction of Self-Compacting Concrete-A Bat Optimization Algorithm Based ANNs |
| title_short | Compressive Strength Prediction of Self-Compacting Concrete-A Bat Optimization Algorithm Based ANNs |
| title_sort | compressive strength prediction of self compacting concrete a bat optimization algorithm based anns |
| url | http://dx.doi.org/10.1155/2022/8404774 |
| work_keys_str_mv | AT amirandalib compressivestrengthpredictionofselfcompactingconcreteabatoptimizationalgorithmbasedanns AT babakaminnejad compressivestrengthpredictionofselfcompactingconcreteabatoptimizationalgorithmbasedanns AT alirezalork compressivestrengthpredictionofselfcompactingconcreteabatoptimizationalgorithmbasedanns |