Tensile performance of sustainable Strain-Hardening Cementitious Composites with hybrid PVA and recycled PET fibers

Yu, Jing; Yao, Jie; Lin, Xiuyi; Li, Hedong; Lam, Jason; Leung, Christopher Kin Ying; Sham, Ivan M.L.; Shih, Kaimin

doi:10.1016/j.cemconres.2018.02.013

Cited by 214 publications

(58 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Engineered cementitious composite (ECC) is a cement-based material consisting of cement, fly ash (FA), sand, water, a chemical admixture and short discrete fibers [ 1 ]. ECC is known for its enhanced tensile ductility, with the tension strain ranging from 3% to 8% and the width of multi-cracks usually being less than 200 μm [ 2 , 3 , 4 ]. Due to these special advantages, ECC is widely used, especially in structures that require an enhanced tensile capacity, such as retaining walls, dams, aqueducts, bridge decks and building dampers [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation on the Mechanical Properties and Microstructure of Basalt Fiber Reinforced Engineered Cementitious Composite

Cai

et al. 2020

Materials

View full text Add to dashboard Cite

This study investigated fundamental mechanical properties of a basalt fiber reinforced engineered cementitious composite (BF-ECC) with different volume fractions of basalt fiber (BF), water–binder ratio (W/B) and fly ash (FA) content. The compressive strength, splitting tensile strength, flexural strength and static modulus of BF-ECC were studied at 3, 28 and 56 days, respectively, to explore their development along the ages. Furthermore, the scanning electron microscopy (SEM) analysis was conducted to evaluate the microstructure of BF-ECC. Experiment results demonstrated that bond quality between the BF and the matrix is good, which leads to a significant increase in the flexural strength and splitting tensile strength. The pozzolanic effect of FA obviously improved the splitting tensile and flexural strength of BF-ECC after 56 days of curing, and the appropriate content of the FA content in the BF-ECC ranges from 50% to 60%.

show abstract

Section: Introductionmentioning

confidence: 99%

Experimental Investigation on the Mechanical Properties and Microstructure of Basalt Fiber Reinforced Engineered Cementitious Composite

Cai

et al. 2020

Materials

View full text Add to dashboard Cite

show abstract

“…This would supplement the earlier research which showed that it is possible to substitute up to 80% of cement by fly ash in concrete and achieve 28day compressive strength of 45 MPa as well as required early strength [17,18]. Such low carbon mortar compositions can also be used in practical green concrete and Strain-Hardening Cement Composite (SHCC) mixes which can address the major weaknesses of conventional concrete, viz its environmental sustainability and brittle fracture under tension [19][20][21]. The research reported here is also designed to support future development of green concrete mixes with a combination of fly ash and LC2 material in order to optimize the packing density and pozzolanic activity.…”

Section: Research Significancementioning

confidence: 63%

Hydration and Strength Characteristics of Green Cementitious Mortars with Ultrahigh-Volume Limestone-Calcined Clay and Class F Fly Ash

J¹,

Mishra²,

Leung³

2019

Preprint

Self Cite

View full text Add to dashboard Cite

This study aims to investigate the hydration and strength characteristics of green cementitious mortars with ultrahigh-volume limestone-calcined clay as well as two kinds of Class F fly ash. Using the ASTM C311 strength activity index test method, the effect of different pozzolan replacement levels of cement (0%, 20%, 50%, and 80%, by weight) were investigated. Compressive strength at 3, 7, 14, 28 and 90 days under standard curing was recorded, and hydration heat of the 20% and 80% replacement mixes was studied using iso-thermal calorimetry. It was observed that the effectiveness of the pozzolan in mortars depends on particle size distribution, glassy or amorphous nature, surface area and replacement level. The sum of all these effects can be captured by the strength activity test only if the standard recommended 20% pozzolan mix is substituted with the actual mix composition. The results in this study provide insights into the mix design and applications of ultrahigh-volume pozzolanic cementitious materials specifically made with limestone-calcined clay, and promote greener cement and concrete in construction industry.

show abstract

“…Simultaneously, descriptions of fibers in cementitious composites containing polydispersed hollow and core-shell microparticles [8], waste recycled hollow glass microspheres [9], multiwalled carbon nanotubes [10], nano reservoir silts [11], SiO 2 nanoparticles [12], palm oil fuel ash [13], inclined steel fiber [14], cellulose nanocrystals [15], cobalt ferrite and nanoparticles [16] are abundant. Polyvinyl alcohol (PVA) fiber-reinforced engineering cementitious composite is a kind of new high-performance cementitious material which exhibits the features of strain hardening, multiple-cracking high durability [17], and narrow crack width [18][19][20]. Additionally, it exhibits the characteristics of multislit cracking and strain hardening [21] and possesses a broad application prospect [22].…”

Section: Introductionmentioning

confidence: 99%

Compressive Strength Prediction of PVA Fiber-Reinforced Cementitious Composites Containing Nano-SiO2 Using BP Neural Network

et al. 2020

View full text Add to dashboard Cite

In this study, a method to optimize the mixing proportion of polyvinyl alcohol (PVA) fiber-reinforced cementitious composites and improve its compressive strength based on the Levenberg-Marquardt backpropagation (BP) neural network algorithm and genetic algorithm is proposed by adopting a three-layer neural network (TLNN) as a model and the genetic algorithm as an optimization tool. A TLNN was established to implement the complicated nonlinear relationship between the input (factors affecting the compressive strength of cementitious composite) and output (compressive strength). An orthogonal experiment was conducted to optimize the parameters of the BP neural network. Subsequently, the optimal BP neural network model was obtained. The genetic algorithm was used to obtain the optimum mix proportion of the cementitious composite. The optimization results were predicted by the trained neural network and verified. Mathematical calculations indicated that the BP neural network can precisely and practically demonstrate the nonlinear relationship between the cementitious composite and its mixture proportion and predict the compressive strength. The optimal mixing proportion of the PVA fiber-reinforced cementitious composites containing nano-SiO2 was obtained. The results indicate that the method used in this study can effectively predict and optimize the compressive strength of PVA fiber-reinforced cementitious composites containing nano-SiO2.

show abstract

Tensile performance of sustainable Strain-Hardening Cementitious Composites with hybrid PVA and recycled PET fibers

Cited by 214 publications

References 42 publications

Experimental Investigation on the Mechanical Properties and Microstructure of Basalt Fiber Reinforced Engineered Cementitious Composite

Experimental Investigation on the Mechanical Properties and Microstructure of Basalt Fiber Reinforced Engineered Cementitious Composite

Hydration and Strength Characteristics of Green Cementitious Mortars with Ultrahigh-Volume Limestone-Calcined Clay and Class F Fly Ash

Compressive Strength Prediction of PVA Fiber-Reinforced Cementitious Composites Containing Nano-SiO2 Using BP Neural Network

Contact Info

Product

Resources

About