Cargando…

Correction: Prediction of the compressive strength of high-performance self-compacting concrete by an ultrasonic-rebound method based on a GA-BP neural network

Detalles Bibliográficos
Autores principales:	Du, Guoqiang, Bu, Liangtao, Hou, Qi, Zhou, Jing, Lu, Beixin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Correction
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443027/ https://www.ncbi.nlm.nih.gov/pubmed/34525132 http://dx.doi.org/10.1371/journal.pone.0257650

Ejemplares similares

Prediction of the compressive strength of high-performance self-compacting concrete by an ultrasonic-rebound method based on a GA-BP neural network
por: Du, Guoqiang, et al.
Publicado: (2021)

Prediction of the Compressive Strength of Recycled Aggregate Concrete Based on Artificial Neural Network
por: Bu, Liangtao, et al.
Publicado: (2021)

Interrelated dataset of rebound numbers, ultrasonic pulse velocities and compressive strengths of drilled concrete cores from an existing structure and new fabricated concrete cubes
por: Gebauer, Daniel, et al.
Publicado: (2023)

Ultrasonic based concrete defects identification via wavelet packet transform and GA-BP neural network
por: Hu, Tianyu, et al.
Publicado: (2021)

Characteristic Curve and Its Use in Determining the Compressive Strength of Concrete by the Rebound Hammer Test
por: Kocáb, Dalibor, et al.
Publicado: (2019)

Dataset on predictive compressive strength model for self-compacting concrete
por: Ofuyatan, O.M., et al.
Publicado: (2018)

Evaluation of Early-Age Concrete Compressive Strength with Ultrasonic Sensors
por: Yoon, Hyejin, et al.
Publicado: (2017)

Study on Ultrasonic Nondestructive Testing of Self-Compacting Concrete under Uniaxial Compression Test
por: Sun, Yongshuai, et al.
Publicado: (2022)

Concrete Compressive Strength by Means of Ultrasonic Pulse Velocity and Moduli of Elasticity
por: Bolborea, Bogdan, et al.
Publicado: (2021)

Modeling of Compressive Strength of Self-Compacting Rubberized Concrete Using Machine Learning
por: Kovačević, Miljan, et al.
Publicado: (2021)

Application of Soft-Computing Methods to Evaluate the Compressive Strength of Self-Compacting Concrete
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Effect of Steel Plates on Estimation of the Compressive Strength of Concrete via Ultrasonic Testing
por: Rhim, Hong Chul, et al.
Publicado: (2020)

A Comparative Study for the Prediction of the Compressive Strength of Self-Compacting Concrete Modified with Fly Ash
por: Farooq, Furqan, et al.
Publicado: (2021)

Impact of Self-Compacting Concrete Admixtures on Frost Resistance and Compressive Strength—Commensurability of Frost Resistance Criteria
por: Piekarczyk, Adam, et al.
Publicado: (2021)

Impact of Design Parameters on the Ratio of Compressive to Split Tensile Strength of Self-Compacting Concrete with Recycled Aggregate
por: Martínez-García, Rebeca, et al.
Publicado: (2021)

Estimating Compressive Strength of Concrete Containing Untreated Coal Waste Aggregates Using Ultrasonic Pulse Velocity
por: Karimaei, Mahmood, et al.
Publicado: (2021)

Residual Compressive Strength Prediction Model for Concrete Subject to High Temperatures Using Ultrasonic Pulse Velocity
por: Kim, Wonchang, et al.
Publicado: (2023)

Estimating Compressive Strength of Concrete Using Neural Electromagnetic Field Optimization
por: Akbarzadeh, Mohammad Reza, et al.
Publicado: (2023)

Mechanical Properties of High-Strength Self-Compacting Concrete
por: Zende, Aijaz Ahmad, et al.
Publicado: (2023)

Fire Performance of Heavyweight Self-Compacting Concrete and Heavyweight High Strength Concrete
por: Aslani, Farhad, et al.
Publicado: (2019)

Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Self-Compacting Concrete with Class F Fly Ash
por: Kovačević, Miljan, et al.
Publicado: (2022)

A Study on the Prediction of Compressive Strength of Self-Compacting Recycled Aggregate Concrete Utilizing Novel Computational Approaches
por: de-Prado-Gil, Jesús, et al.
Publicado: (2022)

Comparative analysis of various machine learning algorithms to predict 28-day compressive strength of Self-compacting concrete
por: Inqiad, Waleed Bin, et al.
Publicado: (2023)

An Experimental Study of Dynamic Compression Performance of Self-Compacting Concrete
por: Shi, Feiting, et al.
Publicado: (2020)

Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks
por: Hadzima-Nyarko, Marijana, et al.
Publicado: (2019)

Prediction of the Compressive Strength of Waste-Based Concretes Using Artificial Neural Network
por: Amar, Mouhamadou, et al.
Publicado: (2022)

Synthesis of Zinc Oxide Nanoparticles and Their Effect on the Compressive Strength and Setting Time of Self-Compacted Concrete Paste as Cementitious Composites
por: Arefi, Mohammad Reza, et al.
Publicado: (2012)

Influence of Inertia on the Dynamic Compressive Strength of Concrete
por: Qin, Zhangchen, et al.
Publicado: (2022)

Prediction of the Compressive Strength of Fly Ash Geopolymer Concrete by an Optimised Neural Network Model
por: Khalaf, Ali Abdulhasan, et al.
Publicado: (2022)

Compressive Strength Evaluation of Ultra-High-Strength Concrete by Machine Learning
por: Shen, Zhongjie, et al.
Publicado: (2022)

Learned Prediction of Compressive Strength of GGBFS Concrete Using Hybrid Artificial Neural Network Models
por: Han, In-Ji, et al.
Publicado: (2019)

Analysis of the Optimum Usage of Slag for the Compressive Strength of Concrete
por: Lee, Han-Seung, et al.
Publicado: (2015)

ANN-Based Fatigue Strength of Concrete under Compression
por: Abambres, Miguel, et al.
Publicado: (2019)

Relation between Density and Compressive Strength of Foamed Concrete
por: Othman, Rokiah, et al.
Publicado: (2021)

Prediction of Concrete Compressive Strength in Saline Soil Environments
por: Yang, Deqiang, et al.
Publicado: (2022)

Ultrasonic Monitoring of Setting and Strength Development of Ultra-High-Performance Concrete
por: Yoo, Doo-Yeol, et al.
Publicado: (2016)

Soft computing techniques to predict the compressive strength of green self-compacting concrete incorporating recycled plastic aggregates and industrial waste ashes
por: Faraj, Rabar H., et al.
Publicado: (2022)

Compressive Strength Prediction of Rubber Concrete Based on Artificial Neural Network Model with Hybrid Particle Swarm Optimization Algorithm
por: Huang, Xiao-Yu, et al.
Publicado: (2022)

The Fire Resistance Performance of Recycled Aggregate Concrete Columns with Different Concrete Compressive Strengths
por: Dong, Hongying, et al.
Publicado: (2014)

Behavior of high strength self compacted concrete deep beams with web openings
por: Hassan, Hassan Mohammed, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_5k7rlnpastv4v8g3rink55vqra