An investigation of the effect of different aggregate types on concrete properties with thin section and nondestructive methods

Güçlüer, Kadir

doi:10.36909/jer.v9i3b.9733

Cited by 4 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has a wide range of applications in the aerospace and wind turbine industries, among other areas [ 5 , 29 , 90 , 91 ]. The shearography techniques present several advantages over traditional NDT techniques, including (1) being capable of testing large area on the structure (up to 1 m 2 per minute [ 92 ]), (2) providing contactless techniques, (3) being relatively insensitive to environmental variations effects, and (4) performing well on honeycomb materials [ 93 ].…”

Section: Shm Of Composite Structuresmentioning

confidence: 99%

Structural Health Monitoring in Composite Structures: A Comprehensive Review

Hassani

Mousavi

Gandomi

2021

Sensors

View full text Add to dashboard Cite

This study presents a comprehensive review of the history of research and development of different damage-detection methods in the realm of composite structures. Different fields of engineering, such as mechanical, architectural, civil, and aerospace engineering, benefit excellent mechanical properties of composite materials. Due to their heterogeneous nature, composite materials can suffer from several complex nonlinear damage modes, including impact damage, delamination, matrix crack, fiber breakage, and voids. Therefore, early damage detection of composite structures can help avoid catastrophic events and tragic consequences, such as airplane crashes, further demanding the development of robust structural health monitoring (SHM) algorithms. This study first reviews different non-destructive damage testing techniques, then investigates vibration-based damage-detection methods along with their respective pros and cons, and concludes with a thorough discussion of a nonlinear hybrid method termed the Vibro-Acoustic Modulation technique. Advanced signal processing, machine learning, and deep learning have been widely employed for solving damage-detection problems of composite structures. Therefore, all of these methods have been fully studied. Considering the wide use of a new generation of smart composites in different applications, a section is dedicated to these materials. At the end of this paper, some final remarks and suggestions for future work are presented.

show abstract

Section: Shm Of Composite Structuresmentioning

confidence: 99%

Structural Health Monitoring in Composite Structures: A Comprehensive Review

Hassani

Mousavi

Gandomi

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…For instance, the use of calcareous sand in concrete reduces workability and increases long-term strength compared to concrete based on siliceous sand [17,18]. Consequently, the compressive strength and modulus of elasticity of concrete with calcareous aggregates are slightly higher than those found in the case of quartz aggregates [19][20][21]. Furthermore, Ortiz et al [22] and Alhozaimy [23] demonstrated that the workability of mortar decreases depending on the temperature of the sand.…”

Section: Introductionmentioning

confidence: 99%

Effect of Self-Curing Admixture and Sand Type on the Mechanical and Microstructural Properties of Concrete in Hot Climate Conditions

Benouadah,

Merbouh,

Nabil

et al. 2024

ACSM

View full text Add to dashboard Cite

The performance of concrete in hot and arid regions, where summer temperatures typically range between 40 and 50℃, is critically affected by the rapid evaporation of mix water. This study systematically investigates the influence of elevated temperatures characteristic of these climates on both the fresh and hardened properties of concrete, with a focus on formulation variables. Three distinct sand types-calcareous, silicocalcareous, and siliceous-were utilized in conjunction with superplasticizers and curing agents to discern their effects under simulated hot weather conditions. These conditions replicated an ambient temperature of 50℃ for dry materials and water, a wind speed of 12 km/h, and a relative humidity of 10%, to emulate the average shaded environment in desert regions. Workability and compressive strength were evaluated, alongside a microstructural analysis conducted via Scanning Electron Microscopy (SEM) and X-ray Diffraction (XRD). It was observed that mixtures containing siliceous or silicocalcareous sands exhibited enhanced fluidity, while those with calcareous sand demonstrated superior compressive strength. Microstructural examinations revealed a denser matrix in the calcareous sand-based concrete when compared to its counterparts. Notably, the incorporation of curing compounds and superplasticizers was found to augment the compressive strength, particularly in calcareous sand mixtures, under hot weather conditions. This research offers critical insights into optimizing concrete formulations to mitigate the adverse effects of hot weather concreting, providing a valuable resource for concrete technologists in similar climatic zones.

show abstract

“…In the study of the micromechanics of asphalt concrete, the size, shape, distribution, and interaction of particles directly affect the mechanical properties of asphalt mixtures, such as strength. The microstructure of concrete directly affects its macroscopic mechanical properties [3][4][5][6][7][8][9][10][11]. A large number of domestic and foreign scholars have studied the mechanism of the influence of mixture structure on its performance at the microscale using two main methods: analytical and numerical [12,13].…”

Section: Introductionmentioning

confidence: 99%

Mechanical Analysis Model of Asphalt Concrete Random Particles Based on Mix Ratio

2023

View full text Add to dashboard Cite

The strength and other mechanical properties of asphalt mixtures are directly affected by their size, shape, distribution, and interaction of asphalt concrete particles. Mesoscale performance is important for studying the structure of asphalt mixtures. The random particle model of asphalt concrete is one of the important topics in mesoscale research. On the basis of existing research at home and abroad, based on the asphalt mixture mix ratio, this paper further improves the algorithm of random particle generation, optimizes the algorithm of single-particle generation, ensures that the shape of particles at the time of generation conforms to the engineering practice, and forms a random particle reserve library, in order to improve the efficiency of particle delivery, facilitate the model mesh division, and provide a basis for the smooth progress of mechanical analysis.

show abstract

An investigation of the effect of different aggregate types on concrete properties with thin section and nondestructive methods

Cited by 4 publications

References 12 publications

Structural Health Monitoring in Composite Structures: A Comprehensive Review

Structural Health Monitoring in Composite Structures: A Comprehensive Review

Effect of Self-Curing Admixture and Sand Type on the Mechanical and Microstructural Properties of Concrete in Hot Climate Conditions

Mechanical Analysis Model of Asphalt Concrete Random Particles Based on Mix Ratio

Contact Info

Product

Resources

About