ABSTRACT Despite increasing attention to the seismic performance of masonry infills, their out‐of‐plane dynamic behaviour remains insufficiently explored, particularly under pre‐existing in‐plane damage. This study presents a comprehensive experimental campaign designed to investigate the seismic behaviour of an existing weak masonry infill typology ...
Maithree Kurukulasuriya +3 more
wiley +1 more source
Prediction of concrete compressive strength using a Deepforest-based model. [PDF]
Zhang W, Guo J, Ning C, Cheng R, Liu Z.
europepmc +1 more source
Development and Validation of a Seismic Design Method for Anchored Retaining Walls
ABSTRACT Retaining walls with multiple anchor levels are widely used as permanent excavation support systems for the construction of linear infrastructures. Yet, their seismic behaviour remains largely unexplored, and current design approaches rely on conventional procedures that do not adequately reflect the actual dynamic response of these systems ...
Luigi Callisto +2 more
wiley +1 more source
Machine learning and interactive GUI for concrete compressive strength prediction. [PDF]
Elshaarawy MK, Alsaadawi MM, Hamed AK.
europepmc +1 more source
Compressive Strength Prediction of Square Concrete Columns Retrofitted with External Steel Collars [PDF]
Transverse confining stress in concrete members, commonly provided by transverse reinforcement, has been recognized to enhance the strength and ductility. Nowadays, the confining method has been further developed to external type of confinement.
Pudjisuryadi, Pamuda, Tavio, Tavio
core
Displacement Estimation of Structures With Flag‐Shaped Hysteresis Loops
ABSTRACT Time‐history analyses were conducted on single‐degree‐of‐freedom (SDOF) systems with flag‐shaped hysteresis loops using a far‐field ground motion suite to estimate peak displacements, Δp, and equivalent deformation cycles, Nc, associated with cumulative displacement demands.
Yudi Zhang +5 more
wiley +1 more source
Influence of Optimization Algorithms and Computational Complexity on Concrete Compressive Strength Prediction Machine Learning Models for Concrete Mix Design. [PDF]
Ziolkowski P.
europepmc +1 more source
ABSTRACT Masonry infills in reinforced concrete (RC) frames are highly vulnerable to seismic damage, often sustaining severe cracking even under moderate ground motion, which in turn leads to considerable economic losses and safety risks. To address this issue, this study experimentally evaluates the effectiveness of two innovative rubber‐based joints ...
Enrico Tubaldi +16 more
wiley +1 more source
Developing a brain inspired multilobar neural networks architecture for rapidly and accurately estimating concrete compressive strength. [PDF]
Alibrahim B, Habib A, Habib M.
europepmc +1 more source
Evaluation of Early-Age Concrete Compressive Strength with Ultrasonic Sensors. [PDF]
Yoon H, Kim YJ, Kim HS, Kang JW, Koh HM.
europepmc +1 more source

