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Article

Design of Technological Parameters for Vibrocompression of Gypsum Concrete

1
Department of Building Elements Technology and Materials Science, National University of Water and Environmental Engineering, 33028 Rivne, Ukraine
2
Department of Civil Engineering, Ariel University, Ariel 40700, Israel
*
Author to whom correspondence should be addressed.
Materials 2025, 18(16), 3902; https://doi.org/10.3390/ma18163902
Submission received: 20 July 2025 / Revised: 12 August 2025 / Accepted: 18 August 2025 / Published: 20 August 2025

Abstract

This paper deals with a method for producing gypsum concrete by vibropressing ultra-stiff concrete mixtures with a water–gypsum ratio (W/G) of 0.25–0.35 (stiffness 50–55 s according to Vebe), as well as the method of designing the composition of such concrete. The research was carried out using mathematical experimental design. Experimental and statistical polynomial models of strength and average density dependences on technological factors such as moisture content in the gypsum concrete mixture, aggregate consumption, and vibropressing parameters (dynamic punch pressure during vibration and process duration) were obtained. Models of the aggregate quantity and granulometric composition influence on the gypsum concrete strength at constant compaction parameters and changes in the mixture moisture content were obtained. Based on the obtained models, a method for designing the composition of vibropressed gypsum concrete on dense aggregate was developed. According to the proposed method, the aggregate-to-gypsum ratio (A/G) is first found, taking into account the given strength and quality of the materials. Next, the optimal W/G ratio, which ensures maximum compaction, is calculated and, after that, the residual air volume and the component consumption are obtained. The method allows determining the composition of gypsum concrete on dense aggregate, compacted by vibropressing of superhard mixtures according to a given compressive strength after 1 day of hardening in the range from 15 to 44 MPa. It also allows you to take into account the operating parameters of the molding plant, the aggregate grain composition, and determine the optimal moisture content of the gypsum concrete mixture.

1. Introduction

To enhance the performance characteristics of concrete based on gypsum binders, technological solutions that ensure both high compaction and limited water demand are of critical importance. Two effective approaches are generally recognized in this context:
  • Forming gypsum products by casting with addition of superplasticizer admixtures [1,2];
  • Forming gypsum products from stiff mixes by means of vibrocompression [3,4,5].
In most cases, gypsum-based construction materials are produced from mixtures with a water-to-gypsum (W/G) ratio of 0.5–1.0, typically by casting [6,7,8]. Such processes are characterized by relatively low labor and energy consumption. However, during hardening, only about 18.6% of the hemihydrate mass reacts with water. As a result, the formed products retain high moisture content and must be dried, which leads to increasing fuel and energy consumption as well as extending the overall technological cycle by 6–24 h [7]. Water evaporation leads to pore formation, with pore volume in gypsum products reaching up to 60% and up to 90% of those being capillary pores [8]. Porosity and pore structure have a significant impact on technical properties, reducing strength and increasing hygroscopicity.
The water demand of molding mixtures and the moisture content of gypsum products can be reduced and strength increased through various measures:
  • Production and use of gypsum binders with relatively low water demand, such as high-strength gypsum (α-hemihydrate) [8];
  • Optimal selection of binder grain size distribution to ensure tight packing and reduced intergranular voids, thereby lowering water demand [8];
  • Introduction of admixtures such as plasticizers and superplasticizers [9].
Few studies have focused specifically on stiff gypsum concrete mixes [7,10,11]. However, their substantial technical and economic advantages have spurred increased interest in technologies for forming such stiff mixtures, and several solutions have been proposed. The following methods have been developed for producing gypsum-based materials from low-water-content mixtures:
  • Pressing stiff mixtures made of building or high-strength gypsum at W/G = 0.15–0.20; the molding mixture may be prepared by moistening the binder, granulation followed by pressing, or by incorporating porous water-saturated fillers, microcapsules with liquid phase, mineral or organic fibers, etc. [12];
  • Forming from plastic and castable mixtures (W/G ≥ 0.5) followed by removal of part of the liquid phase under pressure in a mold, a method first proposed in 1977 [13];
  • Pressing of ground gypsum stone followed by hydrothermal treatment, either in an autoclave or directly in the mold [14].
It has been demonstrated [15] that gypsum concrete can be made by pressing stiff mixtures at W/G = 0.15–0.20. Low water content may also be achieved by pressing plastic mixtures and removing part of the liquid phase under pressure [15]. Pressed material was first obtained from non-fired gypsum binder, and the effect of pressing pressure was studied. It was demonstrated that increasing pressure up to 15 MPa doubles the strength of artificial gypsum stone, while further pressure increase may even reduce strength [16].
The use of semi-dry pressing for gypsum product manufacturing significantly simplifies the technology and reduces energy consumption by eliminating the drying stage. Vibrocompression is especially suitable for high-speed, mass production of small-sized products with specific geometrical parameters and high physical and mechanical properties, ensuring long service life under demanding operating conditions [17]. Gypsum concrete products differ from similar cement-concrete products in being more environmentally friendly, mainly due to significantly lower carbon dioxide emissions. Their low water resistance allows the use of such material in dry conditions. Therefore, the most rational direction of their application in practice is using them for walls placed inside rooms [16].
Many researchers have studied stiff concrete mixes and vibrocompression-based technologies. The development of theory and practice in the field of concrete compaction by vibrocompression has contributed to the wide adoption of this method. A particular feature of vibroforming stiff mixes (with stiffness index over 10 s) is insufficient thixotropic liquefaction [18,19,20]. To enable this effect, the solvated particles of the binder must come into close contact via their water shells. This is achieved through the application of compaction pressure [21].
Key structural features of vibration presses include separate or combined vibration and pressure mechanisms, mix feeding and leveling systems, and non-removable molds allowing immediate demolding and transport of the formed products.
Compacting pressure in different types of vibration presses can be provided either by the punch weight or via pneumatic or hydraulic systems. These presses typically apply a pressure of 0.05 to 0.1 MPa, vibration amplitudes of 0.5–1 mm, and frequencies around 50 Hz, with compaction duration ranging from 5 to 30 s. These forming parameters enable efficient compaction of high-stiffness concrete mixes (Vebe time 50–100 s or more) [22].
Vibration presses are used for both small products (wall blocks, tiles, and paving slabs) and larger items such as rings, pipes, beams, and girders. Thanks to short cycle durations and immediate demolding, this compaction method is highly productive and allows for maximum automation of the production process. The effectiveness of vibrocompression depends on various technological parameters, including the properties and granulometry of aggregates, water–binder ratio, binder content, types and dosages of admixtures, vibration intensity, and compaction pressure [23].
In practice mixture design for vibrocompressed concrete is usually carried out empirically, requiring significant laboratory resources and time. A combined computational and experimental method has been proposed, based on I.M. Akhverdov’s method for designing heavy concrete compositions, taking into account their structural and technological features [24]. This method allows the composition of concrete subjected to vibrocompression to be determined, taking into account the vibration parameters and their effect on the cement stone porosity, and also considers the effect of aggregates on the concrete mix water demand. However, this method does not take into account the peculiarities that arise when using super-stiff (semi-dry) mixtures and considers the behavior of gypsum as a binder in such mixtures.
Thus, the recommendations available in the literature do not allow optimal solutions to be chosen for the compaction degree of gypsum concretes obtained by vibropressing superhard mixtures in industrial conditions. The purpose of the present study is to obtain quantitative strength dependences that take into account the main technological factors and allow design of the necessary compaction modes, compositions of vibropressed gypsum concretes, and also to ensure the specified strength with minimal gypsum consumption. The implementation of this goal determines the novelty of this study.
With this aim a series of experiments was performed according to mathematical plans in order to obtain experimental and statistical models of the influence of various technological factors on the gypsum concrete properties. The hypothesis of this study is that the actual mutual influence of technological factors on the gypsum concrete strength can be determined by experimental and statistical models. A calculation method that allows you to determine the composition of gypsum concrete that is compacted by vibropressing, allowing consideration of the compaction parameters, the aggregate grain composition features and the optimal mixture humidity, which ensures its best molding properties were developed. The efficiency of the proposed method is demonstrated by design of gypsum concrete of different strength classes using various types of gypsum binder.

2. Materials

The raw materials used in the research were gypsum binder and quartz sand. The main technical characteristics of the gypsum binder are presented in Table 1.
Two types of quartz sand were used in the present research: sand 1 with a fineness modulus Mf = 2.0 and sand 2 with Mf = 3.0. Sand characteristics are given in Table 2.
Citric acid in the amount of 0.05% of the gypsum mass was used as a setting retarder.

3. Methods

The properties of the raw materials and gypsum concrete based on them were determined by standard methods [25,26].
Cylindrical specimens with d = h = 50 mm (Figure 1) were formed by vibrocompaction on a laboratory vibrating platform in a special press mold using appropriate loads (Figure 2). The following compaction parameters typical for most industrial vibrocompactors were selected: frequency—50 Hz and amplitude—0.5 mm. Vibrocompaction duration varied from 5 to 25 s, and the load pressure ranged from 0.012 to 0.112 MPa [27].

3.1. Experimental Design

The studies of gypsum concrete produced by vibrocompaction of a semi-dry concrete mixture were conducted in three stages. For effective implementation of the experiments, formalization of experimental data, technological analysis, and optimization decisions, the method of mathematical–statistical modeling [28,29] was used. The flow chart of the research is given in Appendix A (Figure A1). The experiments were carried out according to the experimental plans. Three samples were tested at each point of the experiment. As a result of statistical processing of the obtained data, experimental–statistical models of the initial parameters were obtained in the form of polynomial regression equations. Each experimental plan contained additional replicate points to verify the adequacy of the resulting equations. The statistical analysis included the following components: a full ANOVA table, a lack-of-fit test, diagnostic graphs (residual vs. fitted, Q-Q, and Cook’s distance), as well as univariate dependences of the output parameters. The resulting statistical characteristics are presented in Appendix B, Appendix C, Appendix D, Appendix E, Appendix F, Appendix G and Appendix H. Statistical analysis of the results and construction of graphical dependencies were carried out using the “Statistica 14.0” software package [30].

3.2. The Influence of Mix Moisture, Aggregate Consumption, and Vibrocompaction Parameters

At the first stage of this study, to determine the influence of vibrocompaction parameters on the formation of vibropressed gypsum fine-grained concretes, experiments were carried out according to the B4 plan [26] under the planning conditions provided in Table 3. As the output parameters the average concrete density (ρ0, kg/m3) and compressive strength at the age of 1 day (fc1d, MPa) were taken. The gypsum concrete compositions used for specimens’ production and experimental results are presented in Table 4.
As a result of statistical processing of the experimental results (Table 4), regression equations for the output parameters were obtained:
ρ0 = 1843 + 158 X1 +137 X2 + 23 X3 + 83 X4 − 51 X12 − 40 X22 − 19 X32 − 9 X42 − 48 X1X2
− 31 X1X3 − 30 X1X4 + 9 X2X3 − 15 X2X4 − 9 X3X4
fc1d = 12.25 + 2.19 X1 − 2.49 X2 + 0.96 X3 + 1.64 X4 − 4.07 X12 + 1.05 X22 − 1.76 X32
− 2.42 X42 − 0.83 X1X2 + 0.59 X1X3 + 0.66 X1X4 − 0.16 X2X3 − 0.08 X2X4 + 0.08 X3X4
The statistical indicators of the experiment and the obtained Equations (1) and (2) are given in Appendix B and Appendix C.

3.3. Granulometric Composition at Constant Compaction Parameters and Changes in Mix Moisture

The combined effect of the aggregate grain composition and its quantity on the gypsum concrete strength was studied under constant compaction parameters and varying mixture moisture. For this purpose, experiments were performed following the “mixture-technology-property” plan [26]. The planning matrix and experimental results are presented in Table 5.
The influence of sand fraction content on the strength of vibropressed gypsum concrete was studied:
V1—0–0.32 mm (5–35%); V2—0.32–1.25 mm (40–70%); V3—1.25–5 mm (25–55%), at X1—mass ratio of aggregate to gypsum, (A/G)—1–3; X2—water–gypsum ratio (W/G)—0.15–0.35.
During the experiments, the specified molding parameters were maintained: frequency—50 Hz, amplitude—0.5 mm, vibrocompaction duration—15 s, and load pressure—0.06 MPa [22].
After statistical processing of the experimental results, a mathematical model of the strength of vibropressed gypsum concrete was obtained:
f c 1 d = 10.68 V 1 + 12.76 V 2 + 10.11 V 3 + 11.69 V 1 V 2 + 46.95 V 1 V 3 + 30.03 V 2 V 3 20.7 V 1 X 1 + 6.67 V 1 X 2 + 2.87 V 2 X 2 4.74 V 1 X 1 + 5.48 V 3 X 2 + 2.77 X 1 X 2 + 0.71 X 1 2 8.09 X 2 2
ρ o = 2297 V 1 + 2154 V 2 + 2271 V 3 256 V 1 V 2 + 241 V 1 V 3 + 72 V 2 V 3 + + 93 V 1 X 1 + 129 V 1 X 2 + 90 V 2 X 1 + 128 V 2 X 2 11 V 3 X 1 + 198 V 3 X 2 + + 52 X 1 X 2 73 X 1 2 72 X 2 2  
The statistical indicators of the experiment and the obtained Equations (3) and (4) are given in Appendix D and Appendix E.

3.4. The Influence of Mix Composition Parameters at Optimal Moisture

To establish the relationship between strength and the main parameters of vibropressed gypsum concrete (VPGC) at the optimal water-to-gypsum ratio (W/G), an experiment was conducted according to B3 plan [26]. The experimental design conditions are presented in Table 6.
The experiments employed compaction parameters typical of most industrial vibropresses: frequency—50 Hz, amplitude—0.5 mm, pressure—0.06 MPa, and compaction duration—15 s. The output parameters included the following characteristics: water consumption (W, l/m3), compaction coefficient (Kc), and compressive strength at 1 day of age (fc1d, MPa) (Table 7).
The optimal W/G was determined based on the best formability of the mix. This was visually monitored by the appearance of the liquid phase on the sample surface. The test results were processed using mathematical statistics, and mathematical models were obtained:
fc1d = 26.1 – 1.5X1 + 7.5X2 – 7.5X3 – 1.7X12 + 2.5X22 + 2.7X32 – 0.05X1X2 – 0.2X1X3 – 2X2X3
Kc = 0.92 – 0.01X1 + 0.031X2 – 0.009X3 – 0.003X12 – 0.001X22 – 0.011X32 – 0.001X1X2
– 0.012X1X3 + 0.01X2X3
W = 90.3 + 4.9X1 – 16.5X2 – 18.6X3 + 1.0X12 – 1.9X22 + 4.3X32 + 0.4X1X2 – 1.2X1X3 + 6/7X2X3
The statistical indicators of the experiment and the obtained Equations (5)–(7) are given in Appendix F and Appendix H.

4. Results Analysis

4.1. The Influence of Mix Moisture, Aggregate Consumption, and Vibrocompaction Parameters

Following the obtained data (Table 4, Equation (1)), the compressive strength of vibropressed gypsum concrete varies widely (from 5.3 to 17 MPa), which can be explained by various reasons. Factor X1 (W/G) has an almost linear influence on strength when W/G ≥ 0.25; factor X2 (A/G) has a sharply negative linear effect; factors X3 and X4, which characterize vibrocompaction duration and pressure, positively affect the strength.
Factor X4 has a particularly noticeable effect, with a smaller effect from X3 (Figure 3). Negative values of the quadratic effects of X3 and X4 indicate the existence of an optimum range of compaction parameters within the variation range, closer to the upper level (T = 15…20 s, P = 0.06 … 0.09 MPa). Thus, for vibropressed gypsum concrete, an optimal range of loading pressure and vibrocompaction duration was established, which ensures maximum density and strength of concrete. The obtained data are confirmed by similar results obtained for cement-based vibropressed concrete [22].
The average density values of vibropressed gypsum concrete range from 1400 to 2000 kg/m3 (Table 4, Equation (2)). The greatest increase in ρ0 is caused by an increased share of aggregate; mixtures with less binder are more prone to compaction due to the vibration-induced movement of coarse particles and their compact arrangement.
The optimal W/G under the given conditions ensures the necessary compaction, sufficient water for hydration, and minimal porosity. When W/G is below optimum, the gypsum concrete mixture becomes too stiff and cannot be properly pressed under the given vibrocompaction parameters (Figure 4). At the same time, the low amount of water causes a rapid transition of gypsum to dihydrate, possibly preventing full hydration. Increasing the water content to optimum facilitates more uniform mixing and wetting, reduces viscosity to the necessary level, and prolongs the setting time, allowing the formation process to be completed during the induction period. Further increase in water content in the mixture leads to increased porosity of the gypsum matrix and technological defects (adhesion of products to the punch and mold walls and deformation).

4.2. Granulometric Composition at Constant Compaction Parameters and Changes in Mix Moisture

Given that, along with the water–gypsum ratio, the content of aggregate significantly affects the vibropressed gypsum concrete strength, it was deemed appropriate to determine the influence of the aggregate’s grain composition depending on W/G and the aggregate-to-gypsum ratio (A/G).
Analysis of Equation (3) (Figure 5) shows that the strength of vibropressed gypsum concrete significantly depends on the aggregate grain composition. There is an optimal combination of fractions that ensures the maximum strength of gypsum concrete, determined by the minimum voidity of the aggregate. The influence of factor X2 (W/G) is characterized by a significant negative quadratic effect, indicating its extreme influence on compressive strength.
As can be seen from the response surfaces constructed using Equation (3), the optimal W/G value ((W/G)opt) varies depending on the aggregate content and its grain composition (Figure 5). To develop a model of the optimal (W/G)opt, Equation (3) was differentiated with respect to the X2 variable (W/G):
R c 1 d X 2 = 6.67 V 1 + 2.87 V 2 + 5.48 V 3 + 2.77 X 1 16.18 X 2
To find the value of X2 at maximum fc1d, a condition was written:
R c 1 d X 2 = 0
X 2 R c max = 0.41 V 1 + 0.177 V 2 + 0.34 V 3 + 0.17 X 1
The analysis of the resulting equation confirms the linear influence of the grain composition factors (V1–V3) and the aggregate-to-gypsum ratio (X1) on the W/G value (X2) that provides the maximum compressive strength. Among the grain composition factors, V1 and V2 (fine and medium fraction content) have the greatest influence on the optimal W/G value (X2) (Figure 3).
By converting Equation (10) to the natural form, a mathematical model of the W/G optimal from the perspective of maximum strength was obtained:
W G o p t = 0.041 V 1 + 0.0177 V 2 + 0.034 V 3 + 0 , 017 A G + 0.216
The analysis of the mathematical model of the average density of gypsum concrete (Equation (4), Figure 6) reveals both individual and combined effects of the varied factors. Among the grain composition factors (V1–V3), the most significant is v1 (fine fraction 0–0.315 mm), followed closely by V3 (coarse fraction 1.25–5 mm). Factor V2 (medium fraction 0.315–1.25 mm) causes a decrease in the output parameter by 120–140 kg/m3.
Increasing the water-to-gypsum ratio of the mix up to certain values leads to increased density of vibropressed gypsum concrete due to reduced mixture viscosity and improved compactability. The minimally effective W/G from the standpoint of achieving maximum density ranges from 0.28 to 0.33.

4.3. The Influence of Mix Composition Parameters at Optimal Moisture

The strength of VPGC at the optimal W/G varied from 10 to 45 MPa (Table 5, Equation (7), Figure 7). The most significant influence was exerted by the binder strength and the aggregate content. The considerable interaction coefficient between these factors indicates that, with higher aggregate content, the influence of binder strength decreases. An increase in binder strength leads to a reduction in water demand (Equation (8)), which, in turn, increases Kc (Equation (9)), allowing compressive strengths of 35–45 MPa.

4.4. Method for Calculating Vibropressed Gypsum Concrete Mix Composition

The obtained relationships between strength and water demand enable the development of a method for calculating VPGC mix composition:
  • Based on the strength model (Equation (5)), the ratio of aggregate to gypsum (A/G) is determined according to the given strength. This takes into account the gypsum’s strength of the fineness modulus of sand. Equation (5) in its natural form is as follows:
f c 1 d   =   2.7 A / G 2 0.4 A / G M f   0.8 A / G   R g 11.3 A / G 6.8   M f 2 0.04   M f R g   + 32.1 M f + 0.4 R g 2 1.3 R g + 2.15
2.
From the model (Equation (11)), taking into account the A/G and the particle size distribution, the optimal W/G ratio ((W/G)ₒₚₜ) is as follows:
W G o p t = 0.041 V 1 + 0.0177 V 2 + 0.034 V 3 + 0 , 017 A G + 0.216
Using Equation (9), Kc is determined for the given fineness modulus of sand, binder strength, and A/G ratio, and the predicted entrapped air content in the concrete (Ve.a., l) is calculated.
Equation (9) in its natural form is as follows:
Kc = −0.011⋅(A/G)2 − 0.024⋅(A/G)⋅Mf + 0.004⋅(A/G)⋅Rg + 0.065⋅(A/G) − 0.012⋅Mf2
0008⋅Mf⋅Rg + 0.094⋅Mf − 0.00016⋅Rg2 + 0.0088⋅Rg + 0.692
Equation Ve.a.:
V e . a . = 1 K c 100
3.
The gypsum content is then calculated.
G = 1000 V e . a . 1 ρ g + W G + A / G ρ a
4.
The water consumption is determined:
W = G W G ;
5.
The aggregate consumption is determined:
A = G A G
The results of the VPGC mix design calculations are presented in Table 8.
The obtained concrete mix composition is refined by performing laboratory trial batches.

5. Conclusions

  • The influence of the humidity of the superhard gypsum concrete mixture (50–55 s according to Webe), aggregate content, dynamic pressure of the punch, and the compaction duration on the average density and strength of gypsum concrete was investigated. Experimental–statistical polynomial models of the dependence of these properties on technological factors were constructed.
  • It was found that, at a vibration frequency of 50 Hz, maximum density and compressive strength in the range from 11 to 16 MPa are achieved at a punch pressure of 0.06–0.09 MPa, a compaction duration of 15–20 s, and an optimal water–gypsum ratio (W/G) of 0.26–0.28, which ensures effective compaction, sufficient hydration, and minimal porosity.
  • It has been shown that the fractional composition and content of the aggregate, together with the moisture content of the mixture, significantly affect the density and strength. The optimal combination of fractions is determined by the minimum void content of the aggregate.
  • The obtained equation of the optimal W/G ratio provides maximum compressive strength up to 23 MPa, taking into account the aggregate content and grain composition.
  • The developed models describe the compressive strength in the range from 15 to 44 MPa, the compaction coefficient, and water consumption at optimal mixture moisture content, taking into account the binder strength, the content, and the size of the aggregate.
  • Based on a set of models, a method for designing the composition of vibropressed gypsum concrete from ultra-hard mixtures with dense aggregate is proposed, which allows optimal compositions to be determined for classes from C8/10 to C20/25.
  • In the future, it is planned to expand the range of application of the developed composition design method by adding the possibility of using composite waterproof gypsum binders, as well as lightweight aggregates.

Author Contributions

Conceptualization, L.D. and V.Z.; methodology, L.D. and V.Z.; software, Y.R.; validation, V.Z. and Y.R.; formal analysis, V.Z.; investigation, V.Z.; resources, L.D.; data curation, V.Z.; writing—original draft preparation, L.D., V.Z. and Y.R.; writing—review and editing, L.D., V.Z. and Y.R.; visualization, V.Z.; supervision, L.D.; project administration, L.D.; funding acquisition, L.D. and Y.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Acknowledgments

The authors have reviewed and edited the output and take full responsibility for the content of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

Figure A1. Flowchart of the conducted research.
Figure A1. Flowchart of the conducted research.
Materials 18 03902 g0a1

Appendix B. Statistical Indicators of the Experimental–Statistical Model of the Gypsum Concrete Strength (Equation (1)) According to Plan B4 (Table 4)

Table A1. Full ANOVA table.
Table A1. Full ANOVA table.
SourceSum of Squares (SS)dfF-Valuep-Value
X184.98127.090.00022
X2110.06135.090.00007
X316.4415.240.0410
X448.05115.320.00206
X1242.43113.530.00316
X222.9310.930.353
X327.8512.500.140
X4214.9614.770.0496
X1·X211.2713.590.0823
X1·X35.7011.820.203
X1·X47.1412.280.157
X2·X30.4310.140.719
X2·X40.1010.030.861
X3·X40.1110.040.852
Residual37.6412
lack-of-fit37.591067.10.061
Pure error0.0452
Statistical indicators:
R2 = 0.935; Adjusted R2 = 0.859;
Lack-of-fit: F-value = 67.14, p-value = 0.061 (model adequate).
Figure A2. Diagnostic plots for the model (Equation (1)).
Figure A2. Diagnostic plots for the model (Equation (1)).
Materials 18 03902 g0a2
Figure A3. Univariate dependencies to the model (Equation (1)).
Figure A3. Univariate dependencies to the model (Equation (1)).
Materials 18 03902 g0a3

Appendix C. Statistical Indicators of the Experimental–Statistical Model of the Average Concrete Density (Equation (2)) According to Plan B4 (Table 4)

Table A2. Full ANOVA table.
Table A2. Full ANOVA table.
SourceSum of Squares (SS)dfF-Valuep-Value
X182.433122.930.0003
X2635.2191176.54<0.0001
X314.68214.080.063
X4107.122129.75<0.0001
X122.55110.710.412
X2213.12713.650.077
X321.43510.400.535
X4248.319113.430.002
X1·X292.225125.65<0.0001
X1·X32.37610.660.428
X1·X42.05810.570.462
X2·X31.90410.530.476
X2·X47.56912.100.166
X3·X422.82316.340.021
Residual Error43.15212
Lack-of-fit34.012827.70.0353
Pure Error7.2154
Statistical indicators:
R2 = 0.958; Adjusted R2 = 0.899;
Lack-of-fit: F-value = 27.74, p-value = 0.0353 (model adequate).
Figure A4. Diagnostic plots for the model (Equation (2)).
Figure A4. Diagnostic plots for the model (Equation (2)).
Materials 18 03902 g0a4
Figure A5. Univariate dependencies to the model (Equation 2).
Figure A5. Univariate dependencies to the model (Equation 2).
Materials 18 03902 g0a5

Appendix D. Statistical Indicators of the Experimental–Statistical Model of the Concrete Strength (Equation (3)) According to Plan “Mixture-Technology-Property” (Table 5)

Table A3. Full ANOVA table.
Table A3. Full ANOVA table.
SourceSum of Squares (SS)dfF-Valuep-Value
V12.4410.230.0657
V238.9413.670.0128
V313.2611.250.0326
V1·V248.1114.540.0100
V1·V3315.24129.730.0055
V2·V364.7316.100.0689
X10.01.00.01.0
X20.01.00.01.0
X12217.18120.480.0106
X2247.3414.460.0102
X1·X20.009610.00090.0977
V1·X148.1814.540.0100
V2·X149.9714.710.0096
V3·X13.0910.290.0618
V1·X274.4717.020.0570
V2·X244.0814.160.0111
V3·X221.6512.040.0226
Residual42.424
lack-of-fit41.311111.910.0018
Pure error1.10753
Statistical indicators:
R2 = 0.967, Adjusted R2 = 0.850;
Lack-of-fit: F-value = 111.91, p-value = 0.0018 (model adequate).
Figure A6. Diagnostic plots for the model (Equation (3)).
Figure A6. Diagnostic plots for the model (Equation (3)).
Materials 18 03902 g0a6
Figure A7. Univariate dependencies to the model (Equation (3)).
Figure A7. Univariate dependencies to the model (Equation (3)).
Materials 18 03902 g0a7

Appendix E. Statistical Indicators of the Experimental–Statistical Model of the Average Concrete Density (Equation (4)) According to Plan “Mixture-Technology-Property” (Table 5)

Table A4. Full ANOVA table.
Table A4. Full ANOVA table.
SourceSum of Squares (SS)dfF-Valuep-Value
V1707,685.73121.0579.26580.0
V21,163,105.8031.0952.04330.0
V3750,673.32241.0614.45270.0
V1·V21123.53751.00.91970.3919
V1·V320,144.11411.016.48870.0153
V2·V34888.5631.04.00150.1161
X10.01.00.01.0
X20.01.00.01.0
X1223,108.29371.018.9150.0122
X2229,052.90091.023.78080.0082
X1·X29128.04021.07.47160.0523
V1·X147.14741.00.03860.8538
V2·X111,528.48651.09.43650.0372
V3·X15905.34961.04.83370.0928
V1·X21713.661.01.40270.3018
V2·X2147.7811.00.1210.7455
V3·X2999.01151.00.81770.417
Residual4886.77714.0
lack-of-fit3582.027118.23610.0641
Pure error1304.753
Statistical indicators:
R2 = 0.987; Adjusted R2 = 0.941;
Lack-of-fit: F-value = 8.23 4, p-value = 0.064 (the model can be considered adequate).
Figure A8. Diagnostic plots for the model (Equation (4)).
Figure A8. Diagnostic plots for the model (Equation (4)).
Materials 18 03902 g0a8
Figure A9. Univariate dependencies to the model (Equation 4).
Figure A9. Univariate dependencies to the model (Equation 4).
Materials 18 03902 g0a9

Appendix F. Statistical Indicators of the Experimental–Statistical Model of the Concrete Strength (Equation (5)) According to Plan B3 (Table 7)

Table A5. Full ANOVA table.
Table A5. Full ANOVA table.
SourceSum of Squares (SS)dfF-Valuep-Value
X122.2011.04.36440.0751
X2556.5161.0109.40260.06
X3429.0251.084.33980.071
X127.69821.01.51330.2584
X2217.48921.03.43810.1061
X3219.46041.03.82560.0914
X1·X20.01121.00.00220.9638
X1·X30.45121.00.08870.7745
X2·X3105.85121.020.80870.0026
Residual35.60817.0
lack-of-fit35.365.057.3420.0572
Pure error0.12332.0
Statistical indicators:
R2 = 0.9701; Adjusted R2 = 0.9316;
Lack-of-fit: F-value = 57.34, p-value = 0.0572 (model adequate).
Figure A10. Diagnostic plots for the model (Equation (5)).
Figure A10. Diagnostic plots for the model (Equation (5)).
Materials 18 03902 g0a10
Figure A11. Univariate dependencies to the model (Equation 5).
Figure A11. Univariate dependencies to the model (Equation 5).
Materials 18 03902 g0a11

Appendix G. Statistical Indicators of the Experimental–Statistical Model of the Compaction Coefficient (Equation (6)) According to Plan B3 (Table 7)

Table A6. Full ANOVA table.
Table A6. Full ANOVA table.
SourceSum of Squares (SS)dfF-Valuep-Value
X10.00181218.19910.0243
X20.00211219.55460.0180
X30.00005010.22580.6482
X120.00000010.00010.9910
X220.00101214.57430.0709
X320.00005010.22580.6482
X1·X20.00080013.61970.1008
X1·X30.00001210.05490.8230
X2·X30.00005010.22580.6482
Residual0.0015537
lack-of-fit0.00118150.59210.7248
Pure error0.0019797
Statistical indicators:
R2 = 0.9646; Adjusted R2 = 0.9191;
Lack-of-fit: F-value = 0.592, p-value = 0.725 (model adequate).
Figure A12. Diagnostic plots for the model (Equation (6)).
Figure A12. Diagnostic plots for the model (Equation (6)).
Materials 18 03902 g0a12
Figure A13. Univariate dependencies to the model (Equation (6)).
Figure A13. Univariate dependencies to the model (Equation (6)).
Materials 18 03902 g0a13

Appendix H. Statistical Indicators of the Experimental–Statistical Model of the Water Consumption (Equation (7)) According to Plan B3 (Table 7)

Table A7. Full ANOVA table.
Table A7. Full ANOVA table.
SourceSum of Squares (SS)dfF-Valuep-Value
X1826.2811198.8760.000003
X21118.3661269.2260.000001
X31089.3661262.0370.000001
X1214.75813.5490.094676
X2252.758112.6780.009282
X3210.75812.5850.145734
X1·X219.77814.7560.065364
X1·X316.27813.9110.085158
X2·X321.27815.1220.058237
Residual20.7885
lack-of-fit19.9556.6290.1358
Pure error1.2022
Statistical indicators:
R2 = 0.9983; Adjusted R2 = 0.9961;
Lack-of-fit: F-value = 6.63, p-value = 0.136 (model adequate).
Figure A14. Diagnostic plots for the model (Equation (7)).
Figure A14. Diagnostic plots for the model (Equation (7)).
Materials 18 03902 g0a14
Figure A15. Univariate dependencies to the model (Equation (7)).
Figure A15. Univariate dependencies to the model (Equation (7)).
Materials 18 03902 g0a15

References

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Figure 1. Cylindrical gypsum concrete specimen.
Figure 1. Cylindrical gypsum concrete specimen.
Materials 18 03902 g001
Figure 2. Production of gypsum concrete specimens by vibropressing: (a)—mold details; (b)—assembled mold on the vibration platform.
Figure 2. Production of gypsum concrete specimens by vibropressing: (a)—mold details; (b)—assembled mold on the vibration platform.
Materials 18 03902 g002
Figure 3. Dependence of the vibropressed gypsum concrete strength on compaction parameters: 1—A/G = 0; 2—A/G = 1; 3—A/G = 2.
Figure 3. Dependence of the vibropressed gypsum concrete strength on compaction parameters: 1—A/G = 0; 2—A/G = 1; 3—A/G = 2.
Materials 18 03902 g003
Figure 4. Influence of water–gypsum ratio (W/G) on the vibropressed gypsum concrete strength (fc1d).
Figure 4. Influence of water–gypsum ratio (W/G) on the vibropressed gypsum concrete strength (fc1d).
Materials 18 03902 g004
Figure 5. Response surfaces of compressive strength of vibrocompacted gypsum concrete, obtained using the experimental–statistical model (3), depending on the variation of factors: V1—0–0.32 mm; V2—0.32–1.25 mm; V3—1.25–5 mm; X1—mass ratio of aggregate to gypsum, (A/G); X2—water–gypsum ratio (W/G).
Figure 5. Response surfaces of compressive strength of vibrocompacted gypsum concrete, obtained using the experimental–statistical model (3), depending on the variation of factors: V1—0–0.32 mm; V2—0.32–1.25 mm; V3—1.25–5 mm; X1—mass ratio of aggregate to gypsum, (A/G); X2—water–gypsum ratio (W/G).
Materials 18 03902 g005
Figure 6. Isoparametric diagram of the change in average density (ρo, kg/m3) of vibropressed gypsum concrete depending on the aggregate gradation: V1—0–0.32 mm; V2—0.32–1.25 mm; V3—1.25–5 mm; X1—mass ratio of aggregate to gypsum, (A/G); X2—water–gypsum ratio (W/G).
Figure 6. Isoparametric diagram of the change in average density (ρo, kg/m3) of vibropressed gypsum concrete depending on the aggregate gradation: V1—0–0.32 mm; V2—0.32–1.25 mm; V3—1.25–5 mm; X1—mass ratio of aggregate to gypsum, (A/G); X2—water–gypsum ratio (W/G).
Materials 18 03902 g006
Figure 7. Dependence of vibropressed gypsum concrete strength (fc) on the investigated factors at optimal water-to-gypsum ratio (W/G)ₒₚₜ.
Figure 7. Dependence of vibropressed gypsum concrete strength (fc) on the investigated factors at optimal water-to-gypsum ratio (W/G)ₒₚₜ.
Materials 18 03902 g007
Table 1. Technical indicators of gypsum binder [25].
Table 1. Technical indicators of gypsum binder [25].
Type of Gypsum BinderProperties of Gypsum Binder
Normal Consistency,
%
Setting Time, Min.Fineness of Grinding (Residue on Sieve 0.2 mm)Strength, MPa
After 2 h.
InitialFinalCompressionBending
G 5625102.15.32.7
G 10554121.310.84.7
Table 2. Properties of the sand samples.
Table 2. Properties of the sand samples.
Sand TypePartial Residues, % on Sieves with Opening Sizes, mmGrain Content
<0.16, %
Dust Particle Content, %Fineness Modulus
(Mf)
52.51.250.630.320.16
Sand 10.41.88.213.944.029.72.01.22.0
Sand 21.69.625.733.818.612.11.10.23.0
Table 3. Experiment planning conditions B4.
Table 3. Experiment planning conditions B4.
No.FactorsVariation LevelsVariation Interval
Natural TypeCoded Type−10+1
1Water–gypsum ratio (W/G)X10.150.250.350.10
2Mass ratio of aggregate to gypsum, (A/G)X20121
3Duration of vibrocompacting, (τ, s)X35152510
4Dynamic pressure value (P, MPa)X40.0120.0620.1120.05
Table 4. Planning matrix B4 and experimental results.
Table 4. Planning matrix B4 and experimental results.
No.Coded Values of FactorsComposition of Concrete Mix, kg/m3Values of Output Parameters
X1X2X3X4GypsumAggregate (Sand)Waterfc1d, MPaρo, kg/m3
1+1+1+1+167813562377.821938
2+1+1+1−167813562373.851910
3+1+1−1+167813562375.081949
4+1+1−1−167813562371.281825
5+1−1+1+11388048614.171708
6+1−1+1−1138804869.881645
7+1−1−1+11388048610.711836
8+1−1−1−1138804866.331714
9−1+1+1+178415691182.631772
10−1+1+1−178415691181.041640
11−1+1−1+178415691181.921730
12−1+1−1−178415691180.821559
13−1−1+1+1192202885.431504
14−1−1+1−1192202883.511225
15−1−1−1+1192202884.121356
16−1−1−1−1192202882.981128
17+10009119113199.411901
18−1000111411141676.971687
190+10072714541827.411928
200−1001612040319.231683
2100+101002100225111.561906
2200−10100210022519.451746
23000+11002100225113.451915
24000−1100210022516.231586
2500001002100225112.251830
2600001002100225112.101848
2700001002100225112.401854
Table 5. Planning matrix “mixture-technology-property” and experimental results.
Table 5. Planning matrix “mixture-technology-property” and experimental results.
No.Coded factors ValueNatural Factors ValueCompressive Strength, MPaAverage Density, kg/m3
V1V2V3X1X2Sand Fractions Content, %A/GW/G
V1
(0–0.32 mm)
V2
(0.32–1.25 mm)
V3
(1.25–5 mm)
1100−1−135402510.151.81973
2100+1+135402530.3510.52433
3010−1−15702510.155.82068
4010+1−15702530.151.62141
5010+1+15702530.358.52497
6010−1+15702510.3510.72218
7001−1−15405510.155.82022
8001+105405530.255.72191
9001−1+15405510.359.02239
1000.50.50020552520,153.02071
110.80.20−1+129462510.3510.42121
120.300.7+1+114404630.3519.32414
130.500.5+1−120404030.151.12047
140.600.40023403720.2521.62341
1500.40.60+15524320.155.92116
1600.50.5−105554010.2523.92220
1700.50.5−105554010.2524.32253
1800.50.5−105554010.2523.42240
1900.50.5−105554010.2522.92206
Table 6. Experiment planning conditions at the optimal water-to-gypsum ratio.
Table 6. Experiment planning conditions at the optimal water-to-gypsum ratio.
No.FactorsVariation LevelsVariation Interval
Natural TypeCoded Type−10+1
1Sand fineness modulus, (Mf)X12.02.53.00.5
2Gypsum’s strength, (Rg, MPa)X257.5102.5
3Mass ratio of aggregate to gypsum, (A/G)X31231
Table 7. Planning matrix and experimental results at the optimal water-to-gypsum ratio.
Table 7. Planning matrix and experimental results at the optimal water-to-gypsum ratio.
No.Coded Factors ValueNatural Factors ValueValues of Output Parameters
X1X2X3MfRg, MPaA/GW/GW, l/m3fc1d, MPa Kc
1−1+1+12.01030.2369.618.80.90
2−1+1−12.01010.1695.139.20.96
3−1−1+12.0530.2988.512.30.86
4−1−1−12.0510.23142.419.60.89
5+1+1+13.01030.2060.121.90.94
6+1+1−13.01010.1482.542.80.96
7+1−1+13.0530.2782.216.70.89
8+1−1−13.0510.22129.821.60.88
9−1002.07.520.2494.923.60.91
10+1003.07.520.2286.525.40.94
110+102.51020.1873.139.80.96
120−102.5520.25102.517.70.89
1300+12.57.530.2575.917.50.91
1400−12.57.510.19112.129.50.92
150002.57.520.2390.725.70.92
160002.57.520.2391.026.10.91
170002.57.520.2391.025.40.93
Table 8. Results of the mix design calculation of vibrocompressed gypsum concrete.
Table 8. Results of the mix design calculation of vibrocompressed gypsum concrete.
Concrete ClassAA/G(W/G)optKcVe.a., lG, kg/m3S, kg/m3W, l/m3
C8/10G52.980.2970.8812.35511643163
G73.210.2570.918.55271690136
G103.650.2340.955.04841766113
C12/15G52.240.2840.8910.86601476187
G72.690.2490.927.65921591147
G103.270.2270.964.35221708119
C16/20G5-------
G71.990.2370.937.37091409168
G102.840.2200.963.95731629126
C20/25G5-------
G7-------
G102.320.2110.963.96501510137
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Dvorkin, L.; Zhitkovsky, V.; Ribakov, Y. Design of Technological Parameters for Vibrocompression of Gypsum Concrete. Materials 2025, 18, 3902. https://doi.org/10.3390/ma18163902

AMA Style

Dvorkin L, Zhitkovsky V, Ribakov Y. Design of Technological Parameters for Vibrocompression of Gypsum Concrete. Materials. 2025; 18(16):3902. https://doi.org/10.3390/ma18163902

Chicago/Turabian Style

Dvorkin, Leonid, Vadim Zhitkovsky, and Yuri Ribakov. 2025. "Design of Technological Parameters for Vibrocompression of Gypsum Concrete" Materials 18, no. 16: 3902. https://doi.org/10.3390/ma18163902

APA Style

Dvorkin, L., Zhitkovsky, V., & Ribakov, Y. (2025). Design of Technological Parameters for Vibrocompression of Gypsum Concrete. Materials, 18(16), 3902. https://doi.org/10.3390/ma18163902

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