Computers and Concrete

CONTENTS

Volume 29, Number 3, 2022

• Method for flexural stiffness of steel-concrete composite beams based on stiffness combination coefficients

  Faxing Ding, Hu Ding, Chang He, Liping Wang and Fei Lyu

  Abstract | Full Text (2K)

  pages 127-144.

  DOI: 10.12989/cac.2022.29.3.127

• Predicting bond strength of corroded reinforcement by deep learning

  Harun Tanyildizi

  Abstract | Full Text (2K)

  pages 145-159.

  DOI: 10.12989/cac.2022.29.3.145

• Parametric study on precast prestressed concrete double-tee girder for rural bridges

  Dinh Hung Nguyen, Hong Nghiep Vu and Thac Quang Nguyen

  Abstract | Full Text (2K)

  pages 161-168.

  DOI: 10.12989/cac.2022.29.3.161

• Statistical analysis of the influences of admixtures and elevated temperatures on mortar properties

  Ilker Bekir Topcu, Aytac Unverdi and Vural Yildirim

  Abstract | Full Text (3K)

  pages 169-186.

  DOI: 10.12989/cac.2022.29.3.169

• Application of AI models for predicting properties of mortars incorporating waste powders under Freeze-Thaw condition

  Mehmet T. Cihan and İbrahim F. Aral

  Abstract | Full Text (3K)

  pages 189-199.

  DOI: 10.12989/cac.2022.29.3.189

• The strongest control of thermophoresis coefficient on nanoparticle profile at intermediate gaps: A spinning sphere

  Humaira Sharif, Muhammad Nawaz Naeem, Mohamed A. Khadimallah, Hamdi Ayed, Muzamal Hussain and Adil Alshoaibi

  Abstract | Full Text (1K)

  pages 201-207.

  DOI: 10.12989/cac.2022.29.3.201