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4 pages, 184 KiB

Open AccessEditorial

Editorial on Special Issue “Performance Prediction, Durability and Modelling of Concrete Materials and Structures”

by Yang Yu, Weiqiang Wang, Rafael Shehu and Beatrice Pomaro

Crystals 2022, 12(7), 1012; https://doi.org/10.3390/cryst12071012 - 21 Jul 2022

Viewed by 1388

Abstract

Concrete is one of the construction industry’s most essential and commonly used materials [...] Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

Research

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17 pages, 11808 KiB

Open AccessArticle

Effect of Hollow Body Material on Mechanical Properties of Bubble Concrete

by Xiangdong Yan, Pei-Shan Chen, Baoxin Liu, Bashar S. Mohammed and Jialiang Jin

Crystals 2022, 12(5), 708; https://doi.org/10.3390/cryst12050708 - 16 May 2022

Cited by 2 | Viewed by 1980

Abstract

The bubble concrete (BC) produced by mixing high-strength hollow bodies into concrete has been proven to be effective in reducing density while maintaining strength. It has been verified that the position distribution of hollow bodies inside hardened BC significantly affects the compressive strength [...] Read more.

The bubble concrete (BC) produced by mixing high-strength hollow bodies into concrete has been proven to be effective in reducing density while maintaining strength. It has been verified that the position distribution of hollow bodies inside hardened BC significantly affects the compressive strength of the BC. However, the effect of hollow body material on the strength of BC has not yet been established. In the present paper, through concrete compression experiments and the nonlinear finite element analysis (F.E.A.), a comparative study of BC with three different hollow bodies—steel spheres, sand bonded stainless steel spheres, and ceramic spheres—has been carried out. The results show that the difference in elastic modulus of hollow bodies and concrete is the primary reason for the inhomogeneous stress distribution inside the concrete. The interface between the hollow body and hardened concrete could be increased using epoxy resin, thus enhancing the compressive strength of BC specimens by 26.6% compared to control concrete. The ceramic material is tightly integrated with the concrete, but as a brittle material, the ceramic cannot sustain colossal stress and subsequently breaks down. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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12 pages, 2331 KiB

Open AccessArticle

Influence of Glazed Hollow Bead on the Performance of Polyvinyl Alcohol Fiber Reinforced Cement Composites

by Jie Dai, Xuesen Li, Yadi Zhao and Yunfei Li

Crystals 2022, 12(4), 454; https://doi.org/10.3390/cryst12040454 - 24 Mar 2022

Cited by 2 | Viewed by 2215

Abstract

To improve the thermal insulation properties and toughness of concrete, the glazed hollow bead (GHB) and polyvinyl alcohol (PVA) fiber reinforced cementitious composites (GPCC) were investigated by orthogonal test, which includes six GHB mass percentage (20%, 40%, 60%, 80%,100%, 120%), three PVA volume [...] Read more.

To improve the thermal insulation properties and toughness of concrete, the glazed hollow bead (GHB) and polyvinyl alcohol (PVA) fiber reinforced cementitious composites (GPCC) were investigated by orthogonal test, which includes six GHB mass percentage (20%, 40%, 60%, 80%,100%, 120%), three PVA volume fraction (1%, 1.5%, 2%) and water binder ratio (0.26, 0.30, 0.34). Compressive, split tensile strengths and thermal conductivity of GHB-PVA reinforced cementitious composites (GPCC) were tested, and the mechanism of fibers was analyzed from a microscopic perspective. The results revealed that the thermal insulation will be significantly improved with the increased content of GHB, but the compressive and split tensile strength will be decreased simultaneously. No obvious effect was found by the PVA fiber addition on its strength indexes, and the presence of GHB will affect the bridging action of PVA fibers. The water binder ratio has more effect on strengths than thermal conductivity. Based on the mechanical performance rather than the thermal insulation analysis test, the optimal mix proportions were proposed: mass percentage of 40% GHB, a volume fraction of 1.5% PVA fiber, and 0.26 water-binder ratio. Moreover, the anchoring and bridging effect of PVA fibers will effectively balance the stress generated by the shrinkage of cement paste, and inhibits or even prevents the development of cracks. However, a certain number of tiny cracks will be formed near the GHB, and between GHB and PVA fibers, which will cause local stretching and peeling of PVA, and shattering inside the GHB with the increase of external force. The findings of this study can provide a useful reference for the application of an insulated-bearing material with GHB and PVA fiber. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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16 pages, 5931 KiB

Open AccessArticle

Effect of Corundum and Basalt Aggregates on the Ballistic Resistance of UHP-SFRC

by Michal Mára, Přemysl Kheml, Kristýna Carrera, Jindřich Fornůsek and Radoslav Sovják

Crystals 2021, 11(12), 1529; https://doi.org/10.3390/cryst11121529 - 8 Dec 2021

Cited by 3 | Viewed by 2367

Abstract

Ultra-high-performance steel-fibre-reinforced concrete (UHP-SFRC) is a technologically advanced composite with a high ability to absorb and dissipate mechanical energy. This work investigates the possibility of increasing ballistic resistance by adding different percentages of corundum and basalt aggregate into this type of concrete. The [...] Read more.

Ultra-high-performance steel-fibre-reinforced concrete (UHP-SFRC) is a technologically advanced composite with a high ability to absorb and dissipate mechanical energy. This work investigates the possibility of increasing ballistic resistance by adding different percentages of corundum and basalt aggregate into this type of concrete. The most common type of ammunition, a 7.62 mm × 39 mm calibre with a full-metal jacket and a mild-steel core (FMJ-MSC), was used to test all samples. The size of the damage and the mode of failure were determined using a 3D scanner operating on the principle of photogrammetry. The experimental campaign showed that the addition of basalt and, especially, corundum aggregate has a positive effect on ballistic resistance. In particular, the increase in compressive strength and the slight decrease in depth of penetration (DOP) was observed in the case of the usage of the corundum aggregate. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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18 pages, 2100 KiB

Open AccessArticle

Applying Artificial Intelligence to Improve On-Site Non-Destructive Concrete Compressive Strength Tests

by Tu Quynh Loan Ngo, Yu-Ren Wang and Dai-Lun Chiang

Crystals 2021, 11(10), 1157; https://doi.org/10.3390/cryst11101157 - 23 Sep 2021

Cited by 11 | Viewed by 3490

Abstract

In the construction industry, non–destructive testing (NDT) methods are often used in the field to inspect the compressive strength of concrete. NDT methods do not cause damage to the existing structure and are relatively economical. Two popular NDT methods are the rebound hammer [...] Read more.

In the construction industry, non–destructive testing (NDT) methods are often used in the field to inspect the compressive strength of concrete. NDT methods do not cause damage to the existing structure and are relatively economical. Two popular NDT methods are the rebound hammer (RH) test and the ultrasonic pulse velocity (UPV) test. One major drawback of the RH test and UPV test is that the concrete compressive strength estimations are not very accurate when comparing them to the results obtained from the destructive tests. To improve concrete strength estimation, the researchers applied artificial intelligence prediction models to explore the relationships between the input values (results from the two NDT tests) and the output values (concrete strength). In-situ NDT data from a total of 98 samples were collected in collaboration with a material testing laboratory and the Professional Civil Engineer Association. In-situ NDT data were used to develop and validate the prediction models (both traditional statistical models and AI models). The analysis results showed that AI prediction models provide more accurate estimations when compared to statistical regression models. The research results show significant improvement when AI techniques (ANNs, SVM and ANFIS) are applied to estimate concrete compressive strength in RH and UPV tests. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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20 pages, 5342 KiB

Open AccessArticle

Performance Test for Sulfate Resistance of Concrete by Tensile Strength Measurements: Determination of Test Criteria

by Johannes Haufe, Anya Vollpracht and Thomas Matschei

Crystals 2021, 11(9), 1018; https://doi.org/10.3390/cryst11091018 - 25 Aug 2021

Cited by 7 | Viewed by 4043

Abstract

The European standard EN 206-1 contains descriptive requirements for concrete to withstand sulfate attack in the field. This approach limits the use of feasible concrete mixtures that don’t comply with these requirements. A performance approach based on the residual tensile strength of concrete [...] Read more.

The European standard EN 206-1 contains descriptive requirements for concrete to withstand sulfate attack in the field. This approach limits the use of feasible concrete mixtures that don’t comply with these requirements. A performance approach based on the residual tensile strength of concrete briquet specimen according to ASTM C307 after storage in sodium sulfate solution close to field conditions is suggested by the authors. The newly developed test method is verified on a variety of 23 binders. Threshold values for the determination of the sulfate resistance of concrete after nine months of storage in 6000 mg SO₄²⁻/L sulfate solution at 5 °C are proposed. A first repeatability test as well as thermodynamic calculations prove the suitability of the method to test the performance of concrete during sulfate attack under practical conditions. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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22 pages, 6610 KiB

Open AccessArticle

Development of a Sulfate Resistance Performance Test for Concrete by Tensile Strength Measurements: Determination of Test Conditions

by Johannes Haufe, Anya Vollpracht and Thomas Matschei

Crystals 2021, 11(8), 1001; https://doi.org/10.3390/cryst11081001 - 22 Aug 2021

Cited by 5 | Viewed by 2815

Abstract

Assessing the sulfate resistance of concrete is essential for the use of concrete in sulfate rich environments. A multitude of test methods exists worldwide, showing the relevance of the problem and the difficulty to find a suitable test setup. Testing the relative tensile [...] Read more.

Assessing the sulfate resistance of concrete is essential for the use of concrete in sulfate rich environments. A multitude of test methods exists worldwide, showing the relevance of the problem and the difficulty to find a suitable test setup. Testing the relative tensile strength of ASTM C307 concrete briquette specimens after exposure to a sulfate solution is a new direct method to assess the degree of deterioration. The aim of this study is to develop a new performance test, which considers both the chemical and physical resistance of a specific concrete mix against sulfate attack. In the experimental investigations, the binder type, storage temperature, type and concentration of sulfate solution, and concrete composition were varied, and the remaining tensile strength evaluated to define the test parameters. To gain significantly distinguishable data within nine months of storage, the use of sodium sulfate solution with 6000 mg SO₄²⁻/L at 5 °C is proposed. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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20 pages, 4540 KiB

Open AccessArticle

Experimental Analysis of Changes in Cement Mortar Containing Oil Palm Boiler Clinker Waste at Elevated Temperatures in Different Cooling Conditions

by Muhammad Firdaus Anuar, Payam Shafigh, Azman Ma’amor, Sumra Yousuf and Farid Wajdi Akashah

Crystals 2021, 11(8), 988; https://doi.org/10.3390/cryst11080988 - 20 Aug 2021

Cited by 5 | Viewed by 2422

Abstract

Changes in cement-based materials containing waste after exposure to elevated temperatures are an important aspect that should be studied in developing sustainable construction materials. Modified cement-based materials obtained using the industrial waste present robust engineering properties can lead to sustainable development. This work [...] Read more.

Changes in cement-based materials containing waste after exposure to elevated temperatures are an important aspect that should be studied in developing sustainable construction materials. Modified cement-based materials obtained using the industrial waste present robust engineering properties can lead to sustainable development. This work evaluated the capacity of oil palm boiler clinker (OPBC) waste that had been produced during the palm oil extraction process as partial and full substitutions for natural sand to produce cement mortar. The mortar materials were cured under three different curing conditions and were then tested at a room temperature of approximately 27 °C and elevated temperatures of 200 °C to 1000 °C using an electric furnace. The specimens were maintained in the electric furnace under maximum temperatures for 2 h and were then cooled down with water or under ambient temperature. The changes in the forms of colour, weight, compressive strength, microstructure, mineralogical composition, and thermal conductivity were investigated. Test results showed that the compressive strength of OPBC mortars was generally higher than the strength of the control mortar after heat exposure. Water cooling exerted less damage to samples compared to air cooling. The results from field emission scanning electron microscopy–energy-dispersive X-ray spectroscopy demonstrated that the mineral composition varied at different temperatures. In conclusion, this work provides an extensive report and can be used as a guide in utilising OPBC as cementitious materials for future cement-based applications. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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16 pages, 2586 KiB

Open AccessArticle

Study on Flexural Performance of Concrete Beams Reinforced by Steel Fiber and Nano–SiO₂ Materials

by Ke Shi, Mengyue Zhang, Tao Zhang, Ru Xue, Pengfei Li and Gang Chen

Crystals 2021, 11(8), 927; https://doi.org/10.3390/cryst11080927 - 10 Aug 2021

Cited by 4 | Viewed by 2338

Abstract

Steel fiber and Nano–SiO₂ reinforced concrete is a novel material of concrete which has great potential to be used in practical engineering. However, there is relatively little literature available on the flexural behavior of steel fiber and Nano–SiO₂ materials reinforced concrete [...] Read more.

Steel fiber and Nano–SiO₂ reinforced concrete is a novel material of concrete which has great potential to be used in practical engineering. However, there is relatively little literature available on the flexural behavior of steel fiber and Nano–SiO₂ materials reinforced concrete (SFNMRC) beams. Hence, the main objective of this paper is to investigate the flexural performance of SFNMRC beams through combined experimental and theoretical studies. A total of 10 specimens were tested to investigate the flexural behavior and the effect of some key parameters, including concrete strength, the volume fraction of steel fiber, and the amount of Nano–SiO₂. The load vs. deflection curves of SFNMRC beams during the whole loading process were analyzed in detail. The failure mode was discussed in detail, and the specimens all behaved in a very ductile manner. Furthermore, the test results indicated that bending cracks and concrete crushing were formed in the compression zone of all specimens. With the increase in concrete strength and the volume fraction of steel fiber, both the cracking load and ultimate load of beams increased. The amount of Nano–SiO₂ had a limited effect on the flexure performance. Finally, the calculation formula for predicting the flexural bearing capacity of SFNMRC beams was derived with consideration of the effect of steel fiber on the cracked sections after beam cracking. The predicted results show satisfactory agreement with both experimental results. The studies may provide a considerable reference for designing this type of structure in engineering practice. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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12 pages, 5933 KiB

Open AccessArticle

Local Buckling Behavior of Buckling-Restrained Braces with Longitudinally Profiled Steel Core

by Junkai Lu, Weichuang Liu, Yong Ding, Yingying Li and Shuquan Xu

Crystals 2021, 11(8), 914; https://doi.org/10.3390/cryst11080914 - 5 Aug 2021

Cited by 1 | Viewed by 2298

Abstract

One of the most important requirements for a well-designed buckling restrained brace (BRB) under severe earthquake loading is to ensure its stability until the brace achieves sufficient elasto-plastic deformation. This study presents the finite element analysis results of the proposed buckling restrained brace [...] Read more.

One of the most important requirements for a well-designed buckling restrained brace (BRB) under severe earthquake loading is to ensure its stability until the brace achieves sufficient elasto-plastic deformation. This study presents the finite element analysis results of the proposed buckling restrained brace with a longitudinally profiled steel core (LPBRB). The objective of the analyses is to conduct a performance evaluation of the proposed LPBRBs, and to perform a parameter study with different clearance, width:thickness ratio, mortar strength, and friction coefficient for investigating the local buckling behavior of the LPBRBs. Numerical analyses results demonstrate that the LPBRBs exhibited good ductile performance and stable hysteretic behavior. The local buckling failure can be predicted by the demand:capacity ratio formula. The friction coefficient has little influence on the hysteretic behavior of LPBRBs. The local stability can be improved by adopting the mortar with higher compression strength or the LP core with lower width:thickness ratio. The proposed LPBRBs have a similar hysteretic response to the conventional BRBs. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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22 pages, 12299 KiB

Open AccessArticle

Experiments and Mechanical Simulation on Bubble Concrete: Studies on the Effects of Shape and Position of Hollow Bodies Mixed in Concrete

by Xiangdong Yan, Pei-Shan Chen, Amin Al-Fakih, Baoxin Liu, Bashar S. Mohammed and Jialiang Jin

Crystals 2021, 11(8), 858; https://doi.org/10.3390/cryst11080858 - 23 Jul 2021

Cited by 5 | Viewed by 3077

Abstract

This paper proposes a new type of lightweight concrete called bubble concrete, which was developed by mixing concrete with high-strength hollow bodies. In the present study, concave and spherical steel hollow bodies were used not only to form multiple cavities in the concrete [...] Read more.

This paper proposes a new type of lightweight concrete called bubble concrete, which was developed by mixing concrete with high-strength hollow bodies. In the present study, concave and spherical steel hollow bodies were used not only to form multiple cavities in the concrete but also to transfer internal stresses. Through compression tests, the shape effects and distribution effects of the hollow bodies on the strength and Young’s modulus of concrete were investigated. In addition, the mechanical characteristics of the bubble concrete were simulated by nonlinear elastoplastic finite element analysis to study the stress distribution and failure mechanism. The results indicate that with the proper combination, bubble concrete can reduce its density to 1.971–2.003 g/cm³ (83.3–84.7%, compared to control concrete) and its strength reaches 27.536–28.954 N/mm². Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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17 pages, 2377 KiB

Open AccessArticle

On Modeling Concrete Compressive Strength Data Using Laplace Birnbaum-Saunders Distribution Assuming Contaminated Information

by Farouq Mohammad A. Alam and Mazen Nassar

Crystals 2021, 11(7), 830; https://doi.org/10.3390/cryst11070830 - 17 Jul 2021

Cited by 6 | Viewed by 2279

Abstract

Compressive strength is a well-known measurement to evaluate the endurance of a given concrete mixture to stress factors, such as compressive loads. A suggested approach to assess compressive strength of concrete is to assume that it follows a probability model from which its [...] Read more.

Compressive strength is a well-known measurement to evaluate the endurance of a given concrete mixture to stress factors, such as compressive loads. A suggested approach to assess compressive strength of concrete is to assume that it follows a probability model from which its reliability is calculated. In reliability analysis, a probability distribution’s reliability function is used to calculate the probability of a specimen surviving to a certain threshold without damage. To approximate the reliability of a subject of interest, one must estimate the corresponding parameters of the probability model. Researchers typically formulate an optimization problem, which is often nonlinear, based on the maximum likelihood theory to obtain estimates for the targeted parameters and then estimate the reliability. Nevertheless, there are additional nonlinear optimization problems in practice from which different estimators for the model parameters are obtained once they are solved numerically. Under normal circumstances, these estimators may perform similarly. However, some might become more robust under irregular situations, such as in the case of data contamination. In this paper, nine frequentist estimators are derived for the parameters of the Laplace Birnbaum-Saunders distribution and then applied to a simulated data set and a real data set. Afterwards, they are compared numerically via Monte Carlo comparative simulation study. The resulting estimates for the reliability based on these estimators are also assessed in the latter study. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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15 pages, 2131 KiB

Open AccessArticle

Comparison of Machine Learning Approaches with Traditional Methods for Predicting the Compressive Strength of Rice Husk Ash Concrete

by Muhammad Nasir Amin, Ammar Iqtidar, Kaffayatullah Khan, Muhammad Faisal Javed, Faisal I. Shalabi and Muhammad Ghulam Qadir

Crystals 2021, 11(7), 779; https://doi.org/10.3390/cryst11070779 - 3 Jul 2021

Cited by 42 | Viewed by 4117

Abstract

Efforts are being devoted to reducing the harmful effect of the construction industry around the globe, including the use of rice husk ash as a partial replacement of cement. However, no method is available to date to predict the compressive strength (CS) of [...] Read more.

Efforts are being devoted to reducing the harmful effect of the construction industry around the globe, including the use of rice husk ash as a partial replacement of cement. However, no method is available to date to predict the compressive strength (CS) of rice husk ash blended concrete (RHAC). In this study, advanced machine learning techniques (artificial neural network, artificial neuro-fuzzy inference system) were used to predict the CS of RHAC. Based on the published literature, six inputs, i.e., age of specimen, percentage of rice husk ash, percentage of superplasticizer, aggregates, water, and amount of cement, were selected. Results obtained from machine learning methods were compared with traditional methods such as linear and non-linear regressions. It was observed that the performance of machine learning methods was superior to traditional methods for determining the CS of RHAC. This study will prove beneficial in minimizing the cost and time of executing laboratory experiments for designing the optimum content portions of RHAC. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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10 pages, 1553 KiB

Open AccessArticle

Prediction on Permeability of Engineered Cementitious Composites

by Qiannan Wang, Guoshuai Zhang, Yunyun Tong and Chunping Gu

Crystals 2021, 11(5), 526; https://doi.org/10.3390/cryst11050526 - 10 May 2021

Cited by 9 | Viewed by 2092

Abstract

Permeability of concrete is regarded as a basic indicator of its durability. This paper proposed a simple model to predict the permeability of engineered cementitious composites (ECC), which are fiber reinforced cementitious composites with extremely high ductility and toughness. The permeability of cement [...] Read more.

Permeability of concrete is regarded as a basic indicator of its durability. This paper proposed a simple model to predict the permeability of engineered cementitious composites (ECC), which are fiber reinforced cementitious composites with extremely high ductility and toughness. The permeability of cement paste in ECC was firstly determined based on the general effective media theory. The needed microstructure information of cement paste was obtained from a simulated microstructure. Porosity of the interfacial transition zone (ITZ) was obtained with an ITZ porosity model, and then used to calculate the permeability of ITZ. The permeability of the matrix was determined according to the general self-consistent scheme, and the influence of fiber was simplified with its volume fraction. The calculated permeability of ECC was verified with results from water permeability tests and the accuracy of the model was acceptable for cement-based materials. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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22 pages, 5528 KiB

Open AccessArticle

Prediction of Neutralization Depth of R.C. Bridges Using Machine Learning Methods

by Kangkang Duan, Shuangyin Cao, Jinbao Li and Chongfa Xu

Crystals 2021, 11(2), 210; https://doi.org/10.3390/cryst11020210 - 20 Feb 2021

Cited by 5 | Viewed by 1959

Abstract

Machine learning techniques have become a popular solution to prediction problems. These approaches show excellent performance without being explicitly programmed. In this paper, 448 sets of data were collected to predict the neutralization depth of concrete bridges in China. Random forest was used [...] Read more.

Machine learning techniques have become a popular solution to prediction problems. These approaches show excellent performance without being explicitly programmed. In this paper, 448 sets of data were collected to predict the neutralization depth of concrete bridges in China. Random forest was used for parameter selection. Besides this, four machine learning methods, such as support vector machine (SVM), k-nearest neighbor (KNN) and XGBoost, were adopted to develop models. The results show that machine learning models obtain a high accuracy (>80%) and an acceptable macro recall rate (>80%) even with only four parameters. For SVM models, the radial basis function has a better performance than other kernel functions. The radial basis kernel SVM method has the highest verification accuracy (91%) and the highest macro recall rate (86%). Besides this, the preference of different methods is revealed in this study. Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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16 pages, 2765 KiB

Open AccessArticle

Experimental Study and Design of Experiment Using Statistical Analysis for the Development of Geopolymer Matrix for Oil-Well Cementing for Enhancing the Integrity

by Siti Humairah A. Rahman, Nurul Nazmin Zulkarnain and Nasir Shafiq

Crystals 2021, 11(2), 139; https://doi.org/10.3390/cryst11020139 - 29 Jan 2021

Cited by 8 | Viewed by 2450

Abstract

This paper presents an experimental investigation on geopolymer cement formulations for enhancing oil-well integrity. Fresh slurry properties, mixability, density, free-water, and rheology were determined for possible field applications. The compressive strength and expansion characteristics were studied for the durability and integrity of the [...] Read more.

This paper presents an experimental investigation on geopolymer cement formulations for enhancing oil-well integrity. Fresh slurry properties, mixability, density, free-water, and rheology were determined for possible field applications. The compressive strength and expansion characteristics were studied for the durability and integrity of the well system. Mix formulations complied with the requirements of API RP 10B-2. All formulations showed homogeneous mixability, rheological properties, the plastic viscosity (PV), and yield point (YP) were increased from 48 cP to 104 cP and 3.8 N/m² 12.4 N/m², respectively, with the increase of the dosage of elastomeric type expandable material (R additive). The highest compressive strength of 15 MPa was obtained using 10% R additive in the mix-blend after 60 days of curing. Increasing the amount of R additive provides the optimum strength at 10.4 MPa with design 2, 3, and 4. The linear expansion was increased to about 1% at 60 days with 20% and 25% of the R additive dosage. Design of Experiment (DOE) was performed for setting three factors: curing time (A), curing temperature (B), and concentration of R additive (C) to optimize the linear expansion (response). Full article

(This article belongs to the Special Issue Performance Prediction, Durability and Modelling of Concrete Materials and Structures)

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