Shear performance of reinforced concrete beams incorporating recycled concrete aggregate and high-volume fly ash

Sadati, Seyedhamed; Arezoumandi, Mahdi; Khayat, Kamal H.; Volz, Jeffery S.

doi:10.1016/j.jclepro.2015.12.017

Cited by 114 publications

(38 citation statements)

References 6 publications

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“…Research efforts have been dedicated to characterizing the properties of RRC beams and columns in static loading conditions. The influence of RCAs on the monotonic shear [11][12][13][14][15][16][17][18][19][20][21][22][23] or flexural [24][25][26][27][28][29][30][31][32][33][34][35] behaviors of RRC beams has also been extensively experimentally investigated, with the replacement ratio (i.e., r) varied from 0% to 100%. The experimental outcomes indicate that: (i) in either shear or flexural failure, the presence of various RCA replacement ratios only has a limited influence on the damage process and failure pattern of RRC beams; (ii) an increased replacement ratio appears to reduce the load-carrying capacity of RRC beams.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Reinforced Recycled Aggregate Concrete Columns under Cyclic Loadings

et al. 2019

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Recycled concrete aggregates (RCAs) generated from construction and demolition activities have been recognized as a feasible alternative to natural aggregates (NAs). Naturally, the columns fabricated with reinforced recycled concrete (RRC) have been proposed and investigated to promote the structural use of recycled aggregate concrete (RAC). There is still, however, very limited modeling research available to reproduce, accurately and efficiently, the seismic response of RRC columns under lateral cyclic loading; proper evaluations are also lacking on addressing the columns’ seismic behaviors. To fill some of those research gaps, a fiber-based numerical model is developed in this study and then validated with the experimental results published in the literature. Subsequently, the numerical model justified is applied to carry out a comprehensive parametric study to examine the effects of a range of variables on the hysteretic characteristics of RRC columns. Furthermore, a grey relational analysis is conducted to establish quantifiable evidence of key variable sensitivities. The evaluation results imply that the use of the additional water method (AWM) for manufacturing RAC is likely to reduce the lateral load-carrying capacity of the RRC columns (up to 10%), whereas the opposite would occur if a conventional mixing procedure is adopted. Moreover, compared with other factors such as steel area ratio, the content of RCA replacement has a less remarkable effect on the seismic performance of the RRC columns. In general, the RRC columns possess acceptable seismic-resistant properties, and they can be used in earthquake-prone regions with confidence.

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Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Reinforced Recycled Aggregate Concrete Columns under Cyclic Loadings

et al. 2019

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“…The use of recycled concrete aggregate as a building material is now gaining popularity in China’s construction materials. High-performance concrete, stub columns, and beams can be cast by recycled concrete aggregates, and have good mechanical properties according to literature reported [ 24 – 27 ]. However, few studies have been conducted on the production of thermal insulation wallboards through recycled aggregates according to web of science index.…”

Section: Introductionmentioning

confidence: 81%

Strength, microstructure, and thermal conductivity of the insulation wallboards prepared with rice husk fiber and recycled concrete aggregates

Yu¹,

Sun²

2018

PLoS ONE

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This paper intends to evaluate the influence of content of rice husk fiber and cementitious materials on mechanical properties and thermal conductivity of thermal insulation wallboards. Thermal insulation wallboard contained different mass of rice husk fiber was prepared when the weight of cement, fly ash, cellulose ether, naphthalene superplasticizer, and recycled concrete aggregates was equal. Scanning electron microscopy (SEM) shows the internal structure of the insulation wallboards is very dense. Compared to thermal conductivity of blank group (0.9600 W/m·°C), B2 (0.1997 W/m·°C) and C2 (0.1810 W/m·°C) measured by the DRCD-3030 intelligent thermal conductivity tester can meet certain engineering requirements. Average compressive strength, flexural strength, and thermal conductivity of wallboards decreases with content of rice husk fiber increasing when other materials mass are the same. Under the same conditions of curing time and rice husk content, average compressive and flexural strength increase with the increase of the amount of cementitious material.

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“…The Anderson-Darling test was conducted to ensure the normal distribution of the final scores at 0.10 significance level. Statistical analysis relies on the fact that a calculated P-value less than the significance level means that the factor or the interaction between factors will be statistically significant while a P-value greater than α=0.10 threshold reveals the fact that such particular factor or interaction will not be statistically significant (Sadati et al 2016). In other words, P-value less than 0.10 means that there is less than 10% chance that the observed behavior is due to noise, ensuring that the effect will be statistically significant.…”

Section: Methodsmentioning

confidence: 99%

Development of an Early Alert System to Predict Students At Risk of Failing Based on Their Early Course Activities

Sadati¹,

Libre²

2017 ASEE Annual Conference &Amp; Exposition Proceedings

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Seyedhamed Sadati is a PhD candidate of Civil Engineering at Missouri University of Science and Technology. His expertise are in the field of concrete technology, with a focus on durability of reinforced concrete structures and optimization of sustainable concrete materials for transportation infrastructure. He has served as the co-instructor of the "Transportation Engineering" course for two years at the Department of Civil, Architectural, and Environmental Engineering at Missouri University of Science and Technology. His research interests and experience are in the field of computational mechanics, applied mathematics and cement-based composite materials. During his post-doc in the Department of Mathematics at Hong Kong Baptist University (2010-2011) he focused on developing meshfree numerical methods. Given his multidisciplinary background, he was appointed as the director of research in the Construction Materials Institute (2011)(2012)(2013) at the University of Tehran and assistant professor at Islamic Azad University. In that capacity, he had the opportunity of leading several industry-related research projects and mentoring graduate and undergraduate students.Over the span of his career, Dr. Libre has authored and co-authored over 17 peer-reviewed journal articles and over 50 conference papers. He has advised and co-advised 7 graduate students and mentored over 20 undergraduate students. He has collaborated with scholars from several countries, including Iran, China, Slovenia, Canada, and the US. He also served as a reviewer for 6 journals and 5 conferences.c American Society for Engineering Education, 2017 DEVELOPMENT OF AN EARLY ALERT SYSTEM TO PREDICT STUDENTS AT RISK OF FAILING BASED ON THEIR EARLY COURSE ACTIVITIES AbstractThe emphasis on increasing student retention and graduation rates at institutions of higher education is driving the need for creation and implementation of early alert systems. Such early alert systems could be used in identifying students in academic trouble before failure. Early identification of students who are at a risk of dropping or failing a course will help instructors to adapt their course delivering techniques with student's learning styles and improve overall performance of a class. This paper discusses an early alert system to identify students who are at risk of failure based on their activity at the beginning of semester.The proposed alert system considers various indicators, including the homework assignments and the mid-term exam corresponding to the first quarter, along with in-class participation as input parameters. Data collected in large sections of Mechanics of Materials course over four semesters were employed for development and validation of the early alert system. The data analysis showed that the proposed model is capable of predicting the final scores of the students with an acceptable accuracy (R 2 =0.69). Feasibility of using the model was also validated using over 100 additional data points, which were randomly selected from the initial dataset. Goo...

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Shear performance of reinforced concrete beams incorporating recycled concrete aggregate and high-volume fly ash

Cited by 114 publications

References 6 publications

Performance Evaluation of Reinforced Recycled Aggregate Concrete Columns under Cyclic Loadings

Performance Evaluation of Reinforced Recycled Aggregate Concrete Columns under Cyclic Loadings

Strength, microstructure, and thermal conductivity of the insulation wallboards prepared with rice husk fiber and recycled concrete aggregates

Development of an Early Alert System to Predict Students At Risk of Failing Based on Their Early Course Activities

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