Concrete Properties and Behavior

Passive energy dissipation (PED) devices have been widely accepted as effective in reducing seismic effects through extensive experimental and analytical studies. However, the estimation of the supplemental damping ratio (SDR) and its relationship with seismic performance levels remain important research challenges. I…

Karayolu üst yapıları hizmet ömürleri boyunca trafik ve çevresel koşulların etkisinde deformasyon, ayrışma ve çatlama şeklinde temelde üçe ayrılan bozulmalara maruz kalırlar. Stabilite ve performans yönünden zayıflayan üst yapılarda, takviye tabakası imalatı ile hizmet koşullarının iyileştirilmesi ve yolun ilk hizmete…

Pozzolanic concrete demonstrates intricate, highly nonlinear material interactions that pose significant challenges for the accurate prediction of compressive strength (CS). This study introduces a novel, interpretable ensemble machine learning (ML) framework for predicting CS based on 759 mixture records encompassing…

Beton, dünyada sudan sonra en çok tüketilen maddedir ve özellikle çimento üretimi sera gazı emisyonlarına, doğal agrega çıkarımı ise kaynak tükenmesine yol açarak ciddi çevresel zararlar verir. İnşaat ve yıkıntı atıklarından elde edilen Geri Dönüştürülmüş Beton Agregası (GDBA) bu sorunlara sürdürülebilir bir çözüm sun…

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The application of polymer-based waste to concrete is one promising way to improve sustainability, however, the properties of this type of concrete are still not well understood under high-temperature conditions. This study proposes a combined experimental and physics-informed computational framework to support the ro…

This study investigates the mechanical performance of geopolymer concrete cured under various oven temperatures and ambient conditions, focusing on the interactions among curing regimes, alkaline activator molarities, and ground granulated blast furnace slag (GGBFS) incorporation. In this context, the effects of varia…

Fly ash-based geopolymer concrete (GPC) is a sustainable alternative to conventional cementitious materials; however, its compressive strength is governed by complex and highly correlated mixture parameters, making experimental optimization expensive and data-driven modeling challenging. While machine learning (ML) te…

Predicting the long-term durability of concrete structures exposed to chloride ingress is crucial yet remains challenging due to the complex interplay of factors in concrete containing supplementary cementitious materials (SCMs). This study presents a novel machine learning framework for predicting chloride permeabili…

Bu çalışmada mermer tozu katkılı farklı beton türlerinin sürdürülebilirlik performansları karşılaştırmalı olarak değerlendirilmiştir. Çalışma kapsamında pomza agregalı hafif beton numunelerine ait deneysel veriler kullanılmış, ayrıca literatürde yer alan mermer tozu katkılı normal beton, kendiliğinden yerleşen hafif b…

Abstract Self-compacting geopolymer concrete (SCGC) requires coordinated control of workability and strength during mix design, yet predicting fresh-state properties from mix proportions alone has not been reliably achieved. This study trained machine learning models on 327 two-part SCGC mixes from 37 published source…

This study examines the influence of void geometry on the structural performance of biaxial voided reinforced concrete slabs using nonlinear finite element (FE) analysis in ANSYS Workbench 2022 R1. Seven void configurations—spherical, cubic, elliptical, ellipsoidal, capsule, biaxial capsule, and donut—were evaluated u…