Shear Strength Prediction of Unusual Interior Reinforced Concrete Beam-Column Joint Using Multi-Layer Neural Network: a Data Collection by Digital 3D Finite Element Simulation-Reference-Cited by-同舟云学术

Shear Strength Prediction of Unusual Interior Reinforced Concrete Beam-Column Joint Using Multi-Layer Neural Network: a Data Collection by Digital 3D Finite Element Simulation

Published:2022-05-25 Issue: Volume: Page:
ISSN:
Container-title:2022 XXV International Conference on Soft Computing and Measurements (SCM)
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Author:

Marcos Christ John L.¹,Silva Dante L.²

Affiliation:

1. Mapua University,School of Graduate Studies,Manila,Philippines

2. Mapua University,School of Civil, Environmental, and Geological Engineering,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9794805/9794826/09794890.pdf?arnumber=9794890

Reference7 articles.

1. Prediction of Tensile Strength and Erosional Effectiveness of Natural Geotextiles Using Artificial Neural Network

2. Deep neural network applied to joint shear strength for exterior RC beam-column joints affected by cyclic loadings

3. Hybrid Artificial Neural Network and Genetic Algorithm Model for Multi-Objective Strength Optimization of Concrete with Surkhi and Buntal Fiber

4. Sensitivity Analysis and Strength Prediction of Fly Ash — Based Geopolymer Concrete with Polyethylene Terephtalate using Artificial Neural Network

5. Interior Reinforced Concrete Beam-to-Column Joints Subjected to Cyclic Loading: Shear Strength Prediction using Gene Expression Programming

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