Fiber-reinforced concrete (FRC) is extensively used in diverse structural engineering
applications, and its mechanical properties are crucial for designing and evaluating its …

This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …

Colossal amounts of construction and demolition waste (C&D) and waste tires have become
a considerable global environmental concern. To alleviate this issue, it is proposed to use …

This study aims to establish a novel framework for mixture design optimization of engineered
cementitious composite (ECC) by first collecting two original datasets of ECC's tensile stress …

Damage assessment applied to reinforced concrete elements is one of the main activities of
infrastructure maintenance tasks. Among these elements, the problem of corrosion in …

Novel study deploys robust machine learning algorithms using newly built comprehensive
dataset to predict reinforcing rebar-to-recycled coarse aggregate concrete (RCA) bond …

Lightweight aggregate concrete (LWAC) is an increasingly important material for modern
construction. However, although it has several advantages compared with conventional …

Shear strength prediction in FRP-bonded reinforced concrete beams is crucial for ensuring
structural integrity and safety. In this extensive investigation, advanced machine learning …

Ultra-high-performance concrete (UHPC) has gained significant attention as a construction
material owing to its exceptional mechanical properties and durability. Steel fibers are …

A pullout analytical model is introduced to simulate the Double Edge Wedge Splitting
(DEWS) test to obtain the tensile post-peak response of steel fiber reinforced concretes. One …