Experimental Evaluation and Modeling of Polymer Nanocomposite Modified Asphalt Binder Using ANN and ANFIS-Reference-Cited by-同舟云学术

Experimental Evaluation and Modeling of Polymer Nanocomposite Modified Asphalt Binder Using ANN and ANFIS

Published:2020-10 Issue:10 Volume:32 Page:04020305
ISSN:0899-1561
Container-title:Journal of Materials in Civil Engineering
language:en
Short-container-title:J. Mater. Civ. Eng.

Author:

Alas Mustafa¹,Ali Shaban Ismael Albrka²,Abdulhadi Yassin³,Abba S. I.⁴

Affiliation:

1. Ph.D. Candidate, Faculty of Civil and Environmental Engineering, Dept. of Civil Engineering, Near East Univ., Near East Blvd., Nicosia, North Cyprus 99138, Turkey (corresponding author).

2. Lecturer, Faculty of Civil and Environmental Engineering, Dept. of Civil Engineering, Near East Univ., Near East Blvd., Nicosia, North Cyprus 99138, Turkey.

3. Faculty of Civil and Environmental Engineering, Dept. of Civil Engineering, Near East Univ., Near East Blvd., Nicosia, North Cyprus 99138, Turkey.

4. Dept. of Physical Planning Development, Yusuf Maitama Sule Univ., Kano 700221, Nigeria.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29MT.1943-5533.0003404

Reference53 articles.

1. AASHTO. 2002. Standard specification for performance-graded asphalt binder. AASHTO M320. Washington DC: AASHTO.

2. AASHTO. 2019. Standard method of test for determining the rheological properties of asphalt binder using a dynamic shear rheometer (DSR). AASHTO T315. Washington DC: AASHTO.

3. River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques

4. Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant

5. Predicting complex shear modulus using artificial neural networks;Abedali A. H.;J. Civ. Eng. Constr. Technol.,2015

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Live-Bed Scour Depth Modelling Around the Bridge Pier Using ANN-PSO, ANFIS, MARS, and M5Tree;Water Resources Management;2024-05-22

2. Uncertainty quantification of the flexural strengthening of RC beams with UHPC using improved metaheuristic algorithm;Ain Shams Engineering Journal;2024-05

3. Frequency- and temperature-dependent dynamic shear modulus and phase angle prediction models based on existing asphalt binder viscosity data using Artificial Neural Network (ANN);Construction and Building Materials;2024-02

4. Supervised machine learning for identification of glass properties: Towards structural Stability and performance;2024-01-15

5. A Non-destructive Method for the determination of Carbonation Time for Nominal Concrete Cover Depth Using Non-Linear En-semble Prediction;E3S Web of Conferences;2024