Simulation and modeling of polymer concrete panels using deep neural networks-Reference-Cited by-同舟云学术

Simulation and modeling of polymer concrete panels using deep neural networks

Published:2024-07 Issue: Volume:20 Page:e02912
ISSN:2214-5095
Container-title:Case Studies in Construction Materials
language:en
Short-container-title:Case Studies in Construction Materials

Author:

Li Li,Mortazavi Mina,Far Harry,El-Sherbeeny Ahmed M.,Ahmadian Fard Fini Alireza

Publisher

Elsevier BV

Reference75 articles.

1. Experimental and numerical analysis of seismic behaviour for recycled aggregate concrete filled circular steel tube frames;Zhang;Comput. Concr.,2023

2. Analysis on displacement-based seismic design method of recycled aggregate concrete-filled square steel tube frame structures;Zhang;Struct. Concr.,2023

3. Development of expansive concrete for chemical prestressing applications;Dhahir;Case Stud. Constr. Mater.,2023

4. A multi-phase numerical simulation method for the changing process of expansion products on concrete under sulfate attack;Wu;Case Stud. Constr. Mater.,2023

5. Experimental study into the mechanical properties of plastic concrete: compressive strength development over time, tensile strength and elastic modulus;Shepherd;Case Stud. Constr. Mater.,2023

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1. Optimizing pervious concrete with machine learning: Predicting permeability and compressive strength using artificial neural networks;Construction and Building Materials;2024-09

2. Polymer Concretes Based on Thermosetting Polymers: Technological, Physical, Mechanical Properties and Use in Construction;Key Engineering Materials;2024-08-29