Schmidt Hammer Rebound Research Articles

Investigation of Different Superplasticizers Effect on Workability and Strength Parameters in Ultra High Performance Concretes

The use of ultra-high performance concretes (UHPC) in the modern construction industry is increasingly widespread. UHPCs are a type of concrete that provides advantages in solving many engineering problems. UHPCs have superior properties compared to conventional concretes in terms of workability, self-settling, as well as high strength and durability. However, although UHPCs have many advantages, achieving the desired workability is one of the biggest challenges of the production procedure, since they contain high amounts of powder materials. Therefore, the aim of this study is to determine the most suitable superplasticizer (SP) additive in terms of workability and strength by using different SP additives in UHPC mixtures. In this study, workability and strength parameters were tested on UHPC mixtures using 8 different SP additives. First of all, the spreading diameters of the obtained mixtures were measured. For each mixture, compressive strength, density, ultrasound velocity, Schmidt hammer rebound and Leeb hardness measurements were performed on 70x140 mm sized cylindrical samples taken on days 2, 7 and 28. Since SPs have a working principle at the interfaces of particles in the internal structure of concrete, different behaviors were observed on workability, even if a little. All the results obtained have been compared with the literature and it has been proven that they meet the UHPC specifications.

Prediction of Uniaxial Compressive Strength in Rocks Based on Extreme Learning Machine Improved with Metaheuristic Algorithm

Uniaxial compressive strength (UCS) is a critical parameter in the disaster prevention of engineering projects, requiring a large budget and a long time to estimate in different rocks or the early stage of a project. If predicted accurately, the UCS of rocks significantly affects geotechnical applications. This paper develops a dataset of 734 samples from previous studies on different countries’ magmatic, sedimentary, and metamorphic rocks. Within the study context, three main factors, point load index, P-wave velocity, and Schmidt hammer rebound number, are utilized to estimate UCS. Moreover, it applies extreme learning machines (ELM) to map the nonlinear relationship between the UCS and the influential factors. Five metaheuristic algorithms, particle swarm optimization (PSO), grey wolf optimization (GWO), whale optimization algorithm (WOA), butterfly optimization algorithm (BOA), and sparrow search algorithm (SSA), are used to optimize the bias and weight of ELM and thus enhance its predictability. Indeed, several performance parameters are utilized to verify the proposed models’ generalization capability and predictive performance. The minimum, maximum, and average relative errors of ELM achieved by the whale optimization algorithm (WOA-ELM) are smaller than the other models, with values of 0.22%, 72.05%, and 11.48%, respectively. In contrast, the minimum and mean residual error produced by WOA-ELM are less than the other models, with values of 0.02 and 2.64 MPa, respectively. The results show that the UCS values derived from WOA-ELM are superior to those from other models. The performance indices (coefficient of determination (R2): 0.861, mean squared error (MSE): 17.61, root mean squared error (RMSE): 4.20, and value account for (VAF): 91% obtained using the WOA-ELM model indicates high accuracy and reliability, which means that it has broad application potential for estimating UCS of different rocks.

Aggregate Evaluation and Geochemical Investigation of Limestone for Construction Industries in Pakistan: An Approach for Sustainable Economic Development

The present study investigates the aggregate suitability and geochemical characteristics of limestone (LS) from the Samana Suk Formation, Pakistan, for the construction industry. With the advent of CPEC, the demand for construction materials has seen a manifold increase. The Sheikh Budin Hills and Trans Indus Ranges comprise huge deposits of limestone and provide great potential for source rocks for construction materials in the region. In the Upper Indus Basin of Pakistan, the Samana Suk Formation is acknowledged as the most significant carbonate deposits of Mesozoic strata. The results of aggregate parameters reveal that specific gravity (SG = 2.6); water absorption (WA = 0.47%); bulk density (BD = 1.58 g/cm3); flakiness index (FI = 16.8%); elongation index (EI = 16.39%); soundness (S = 1.6%); aggregate impact value (AIV = 14%); Los Angeles Abrasion value (LAAV = 23.51%); clay lumps (CL = 0.35%); uniaxial compressive strength (UCS = 86.7 MPa); point load test (PLT = 5.18 MPa); ultrasonic pulse velocity (UPV = 5290 m/s); and Schmidt hammer rebound test (SHRT = 49 N) are in accordance with the ASTM, ISRM, and BSI. Petrographically, the LS is dominantly composed of ooids, peloids, bioclasts, and calcite mineral (CaCO3) with a trace concentration of dolomite [(Ca,Mg)CO3]. The mineralogical and geochemical study (n = 18) revealed that the LS is dominantly composed of calcite (95.81%); on average, it is composed of 52.08 wt.% CaO; 1.13 wt.% SiO2; 0.66 wt.% MgO; 0.80 wt.% Al2O3; and 0.76 wt.% Fe2O3, and loss on ignition (LOI) was recorded as 42.13 wt.%. On the other hand, P2O5, TiO2, MnO, K2O and Na2O were found in trace amounts. The regression analysis demonstrated that the empirical correlation equation for estimating uniaxial compressive strength with ultrasonic pulse velocity is more reliable than the Schmidt hammer rebound test and point load test. Consequently, the feasibility of using LS of the Samana Suk Formation as an aggregate for construction materials and cement manufacturing is recommended based on the testing results of mechanical, physical, and geochemical properties.

Correlating the Unconfined Compressive Strength of Rock with the Compressional Wave Velocity Effective Porosity and Schmidt Hammer Rebound Number Using Artificial Neural Networks

Correlating the Unconfined Compressive Strength of Rock with the Compressional Wave Velocity Effective Porosity and Schmidt Hammer Rebound Number Using Artificial Neural Networks

Weathering phenomena, rock physical properties and long-term restoration intervention: a case study from the St. Johannis Chapel of Lütgenrode (Lower Saxony, Germany)

Small historical churches in rural villages are mainly functional buildings, lacking spectacular architectural or ornamental features. This is also true for the St. Johannis Chapel Lütgenrode near Göttingen (Lower Saxony, Germany), which dates back to the 13th century. The use of ca. 10 different natural building stones (Triassic sandstone and limestone, Holocene fresh water carbonate), scattered roof tiles and bricks result in a highly heterogeneous character of the chapel’s ascending walls. In addition, various repairs over the last centuries, using inadequate materials, amplified damages and produced critical stability problems, in particular at the southern wall. Here, the suitability of the dimensional stones are evaluated for construction and replacement purposes. A semi-quantitative distribution of lithotypes was performed, and weathering forms were mapped in detail. On-site analyses (micro-drilling resistance, the Schmidt hammer rebound test, capillary water absorption) provide data on the deterioration state of the main lithologies. The petrophysical data show that stratigraphically comparable building stones exhibit different technical characteristics and weathering behavior. All data serve to characterize the state of weathering and provide the data set to plan for future restoration work. The amount needed for restoration work has been estimated to be approximately 435,000–550,000 EUR. Because the local church authorities evaluate the significance of a church based on the frequency of its use, a secular use would be able to save the Lütgenrode chapel, but then the church political leaders would have to act quickly.

Study Regarding the Evaluation of Prediction Models for Determining the Concrete Compressive Strength Using Non-Destructive Testing (NDT) Data: Validation Stage

In the evaluation of an existing reinforced concrete structure, a fundamental issue is determining the concrete compressive strength as accurately as possible. This process can be conducted by using destructive and non-destructive methods. The destructive method presumes a limited number of cores extracted from the concrete structure. A higher number of cores would affect the structural safety and is time and resource consuming. Therefore, the conclusions drawn using exclusively this method can also generate errors in correctly estimating the load bearing capacity of a structure, thus leading to the possibility of implementing deficient measures in order to ensure a structural safety. Data obtained via non-destructive methods are more comprehensive. Due to their non-destructive nature, there are no limitations regarding the number of elements investigated and are fast in delivering results. One of the main concerns of researchers in this field is developing a direct relationship between the measured indicators through non-destructive testing (NDT) methods and concrete compressive strength. Over the years different equations with different mathematical structure (linear, polynomial, power, exponential and logarithmic) were developed with the main purpose of delivering fast and accurate results concerning concrete compressive strength by the means of NDT. The aim of this paper is to validate some of the most important prediction models using an original set of data. The database consists in a number of 96 concrete cores that were subjected to Ultrasonic Pulse Velocity (UPV) and Schmidt Rebound Hammer (SRH) testing. The accuracy of the results was determined by using two statistical parameters the mean absolute error (MAE) and mean absolute percentage error (MAPE). The proposed equations have been analyzed in terms of prediction and dispersion of values. It was noticed that some of the formulations predict values that are higher than the ones obtained destructively, others provide a larger dissipation of values, while some equations deliver a compact distribution of results with higher rate in terms of accuracy. This study proposes a data validation of some of the most popular empirical equations, used for the estimation of the concrete compressive strength, elaborated through the years, using a new set of data.

Application Of Schmidt Hammer Rebound Test For Weathering Profile Classification Of Granite, Paya Terubong, Penang, Malaysia

Weathering profile characterization is one of the significant information in the interpretation of the condition of rock. In addition, the tropical climate in Malaysia causes the deep–seated weathering phenomena of granitic rock. The identification of weathering profile of granite can be made using in–situ Schmidt hammer rebound test which is one of the non–destructive tests (NDT) that is widely used. In this study, the test is carried out on granitic rock in Paya Terubong, Pulau Pinang. Based on the study conducted, the value for each of weathering grade of granite can be identified. The value for fresh granite (Grade I) is greater than 55, slightly weathered granite (Grade II) is ranging from 35 – 55, moderately weathered granite (Grade III) is ranging from 17 – 35 and highly weathered granite (Grade IV) is less than 17. Completely weathered granite (Grade V) and residual soil (Grade VI) do not have any Schmidt hammer rebound values. This method can be used as a very useful method in the field to determine the degree of weathering of rock outcrops.

Assessment of high-temperature damaged concrete using non-destructive tests and artificial neural network modelling

Evaluation of high-temperature damaged concrete is crucial to ensure the safety of any structure after a fire event. However, using destructive tests, such as taking cores from the concrete, can be costly and dangerous; specifically for damaged structures. Therefore, it is preferred to use in-situ non-destructive testing (NDT) in the assessment of damaged concrete. The objective of this study is to develop an artificial neural network model, based on destructive and non-destructive testing results, to assess the concrete strength after being subjected to high-temperature levels; without the need for further in-situ destructive testing.The effect of high-temperature levels (200–800 °C) on concrete compressive strength was investigated in this study using destructive compression and non-destructive tests on concrete cubes; including ultrasonic pulse velocity and Schmidt rebound hammer testing methods. The results of destructive and non-destructive tests of damaged and undamaged concrete were found to be highly correlated. Therefore, the data of this study and data obtained from the cited literature were augmented together and used to optimise and train the artificial neural network model.The artificial neural network analysis indicated that concrete compressive strength (CS), the magnitude of high-temperature damage, and the level of exposure temperature can be predicted with reasonable accuracy using only a combination of non-destructive tests results. The model had a coefficient of determination equals to 0.944.

A Field Study on the Lithological Influence on the Interaction Between Weathering and Abrasion Processes in Bedrock Rivers

AbstractLithology is an important control on the efficiency of bedrock incision and thus the pace of landscape evolution. Rock strength is commonly considered the limiting lithologic factor that resists erosion. Yet, rock strength is a dynamic property that oscillates during advection of rock to the channel surface as damaging processes weaken rock and erosion exposes fresh rock. We approach the problem by investigating damage on bedrock surfaces that vary by the frequency they are eroded in channels of different lithologies. Our data set includes measurements of channel slope and width to characterize channel morphology, and Schmidt hammer rebound, P wave velocity, slake durability, and porosity to characterize the mechanical properties of channel surfaces. The average damage accumulation rate of lithologies ranges over 41% of the mean. We find a range of damage patterns among the different lithologies. Local surface damage increases with erosion frequency in channels comprised of coarse‐grained bedrock but decreases with erosion frequency in channels comprised of fine‐grained bedrock. We interpret these patterns to develop from lithological influences on weathering, abrasion, and the threshold of damage to erosion. The cross‐channel damage patterns between channel floors and margins are well correlated with stream power demonstrating links between microstructural rock properties, reach‐scale morphology, and landscape‐scale processes. We conclude that the morphodynamics of bedrock channels are sensitive to the lithological influences on the direction and magnitude of feedback in the coevolution of bedform morphology and the mechanical properties of the surface.

Determination of some engineering properties of volcanic tuff using non-destructive method

Volcanic tuffs extracted from the quarries of Bayburt province in Turkey are of three different types locally identified as white, yellow and green Bayburt stones. This study was intended to estimate the compressive strength of white, yellow and green Bayburt stones by non-destructive testing methods. For this, non-destructive tests such as the nail penetration test (NPT), Schmidt rebound hammer (SRH) test and ultrasonic pulse velocity (UPV) test were performed. A uniaxial compression test was also performed so as to assess the accuracy of the results obtained from the non-destructive tests. For the NPT, nails manufactured for the gun having 27 and 39 mm length were used. In total, 45 nails were nailed and average the values were taken. Also, uniaxial compressive strength (UCS) and UPV tests were performed on 30 samples in total; furthermore, a total of 60 impacts for the SRH test were performed. The relationship between the results recorded from NPT and UCS, SRH and UPV was determined by regression analysis and comparison. The relative absolute errors between the measured values and the predicted values are below 4% for SRH-NPT comparison and below 9% for UPV-NPT comparison. This method of estimating the compressive strength, by using these non-destructive experiments, was appraised as suitable.

The effect of vehicle waste tires on the mechanical, hardness and stress–strain properties of polyester-based polymer concretes

Polymers, exclusively epoxy and polyester resins, can be used as a binder in fresh concrete as well as in the repair and strengthening of hardened concrete in the construction sector. On the other hand, waste vehicle tires are a global environmental problem due to reasons such as releasing toxic chemicals to nature, not being biodegradable. The recycling of waste tires will prevent any potential harmful effects on the ecosystem. In this study; the effect of vehicle waste tires on the mechanical, hardness and stress–strain properties of polyester-based polymer concretes has been investigated. In polymer concrete mixtures, the polyester resin/ filling material ratio is selected as 15–85%, 20–80%, 25–75%. Waste tire with the diameters of 0–1 mm and 0–4 mm used by replacing the natural aggregates of the same diameters at the rates of 0%, 5%, 12.5%, 20%. Ultrasonic pulse velocity (UPV), Schmidt rebound hammer number, stress–strain behavior, and compressive strength tests were evaluated. As a result, as the waste tire ratio increases, the strength decreases, however, ductility increased at low resin ratios. When the Schmidt rebound hammer number and the compressive strength results are related, there is a similarity of 96.07% in the regression line and polymer concrete gives better results than normal concrete. Furthermore, the use of 0–4 mm sieve diameter tire gives higher strength than 0–1 mm. It is more advantageous as the recycling cost of 0–4 mm diameter tires is lower than 0–1 mm due to the energy consumed during the disintegration.

Using the Schmidt hammer on folds: An example from the Cantabrian Zone (NW Iberian Peninsula)

The Schmidt hammer, widely used in Engineering Geology, has also been used in Structural Geology as a tool to quantify the mechanical properties of rocks affected by different structures and the damage caused to rocks by fracturing. However, how the impact resistance of rocks (rebound) varies in layers located in different positions of a fold has never been tested. Here, the Schmidt hammer is used to quantify this parameter in a syncline involving a Carboniferous carbonate sequence located in the Cantabrian Zone, the foreland fold-and-thrust belt of the Variscan orogen in western Iberia. The variations in the Schmidt-hammer rebound value along a folded layer are consistent with other indicators such as variations of dip and thickness. These findings have also implications on obtaining representative rebound values of stratigraphic units, and on deriving parameters such as the uniaxial compressive strength and the Young modulus from the Schmidt-hammer rebound values applied to folded regions.

Correlation of Schmidt Hammer Rebound Number and Point Load Index with Compressive Strength of Sedimentary, Igneous and Metamorphic Rocks

Correlation of Schmidt Hammer Rebound Number and Point Load Index with Compressive Strength of Sedimentary, Igneous and Metamorphic Rocks

Rock Strength Estimation Using Several Tree-Based ML Techniques

The uniaxial compressive strength (UCS) of rock is an essential property of rock material in different relevant applications, such as rock slope, tunnel construction, and foundation. It takes enormous time and effort to obtain the UCS values directly in the laboratory. Accordingly, an indirect determination of UCS through conducting several rock index tests that are easy and fast to carry out is of interest and importance. This study presents powerful boosting trees evaluation framework, i.e., adaptive boosting machine, extreme gradient boosting machine (XGBoost), and category gradient boosting machine, for estimating the UCS of sandstone. Schmidt hammer rebound number, P-wave velocity, and point load index were chosen as considered factors to forecast UCS values of sandstone samples. Taylor diagrams and five regression metrics, including coefficient of determination (R2), root mean square error, mean absolute error, variance account for, and A-20 index, were used to evaluate and compare the performance of these boosting trees. The results showed that the proposed boosting trees are able to provide a high level of prediction capacity for the prepared database. In particular, it was worth noting that XGBoost is the best model to predict sandstone strength and it achieved 0.999 training R2 and 0.958 testing R2. The proposed model had more outstanding capability than neural network with optimization techniques during training and testing phases. The performed variable importance analysis reveals that the point load index has a significant influence on predicting UCS of sandstone.

The effect of recycled fine aggregates treated as washed, less washed and unwashed on the mechanical and durability characteristics of concrete under MgSO4 and freeze-thaw cycles

The objective of this work was to study the impact of recycled fine aggregates (RFA) treated as washed (W-RFA), less washed (L-RFA) and unwashed (U-RFA) on the transport, mechanical and durability characteristics of concrete under freeze-thaw (F-T) cycles and MgSO4 attack. Totally three groups of concrete mixtures were produced by replacing natural fine aggregates (NFA) with W-RFA, L-RFA and U-RFA at the percentages of 10, 20, 40 and 80% by weight of NFA. 12 mixtures incorporating RFA and reference mixture containing only NFA were fabricated. Compressive strength and splitting tensile strength were determined after curing age of 7 and 28 days. Nondestructive test of Schmidt rebound hammer after 28 days was also performed to assess the mechanical performance of the concretes. Physical and transport properties including dry density, porosity, water absorption and sorptivity of 28-day concrete specimens were explored too. Evaluation of the durability characteristics was determined under different F-T cycles and sulfate attack. Assessment of abrasion resistance of the concretes was done by abrasion test. Microstructural analysis, mass loss, compressive strength, splitting tensile strength and relative dynamic elasticity modulus of the concretes were measured after conducting durability tests. The results indicated that 80%W-RFA incorporated concrete showed the compressive strength improvement considerably and achieved compressive strength of 51 MPa. 10% L-RFA and 10% U-RFA incorporated concretes exhibited compressive strength of above 52 MPa after 28 days curing. 40% W-RFA incorporated concrete with presented the best abrasion resistance after 7 and 28 days. 20%W-RFA incorporated concrete exhibited the best resistance under after 150 F-T cycles considering compressive strength.

Nondestructive Determination of Strength of Concrete Incorporating Industrial Wastes as Partial Replacement for Fine Aggregate.

Schmidt rebound hammer test was employed in this study as a nondestructive test. This test method has been universally utilized due to its non-destructiveness for quick and easy assessment of material strength properties and quality of concrete of an existing structure. Industrial waste materials (air-dried alum sludge, treated alum sludge, limestone dust and quarry dust) were employed as replacement material for fine aggregates in this study. A normal strength concrete was designed to achieve 35 MPa at 28 days, with industrial waste materials replacing fine aggregate at different percentages (0%, 5%, 10% and 15%), and then cured for 7, 28 and 180 days. The compressive strength values and rebound numbers for all the mixes obtained were correlated, and a regression equation was established between compressive strength and Schmidt rebound number. The correlation result showed an excellent relationship between rebound number and compressive strength of concrete produced in this study at all curing ages, with correlation coefficients of R2 = 0.98, R2 = 0.99 and R2 = 0.98. The predicted equation showed a strong relationship with the experimental compressive strength. Therefore, it can be used for the prediction of compressive strength of concrete with industrial waste as a replacement for fine aggregate.

Prediction of uniaxial compressive strength and modulus of elasticity for Travertine samples using an explainable artificial intelligence

The durability of rocks is a substantial rock property that has to be considered for designing geotechnical structures. Uniaxial compressive strength (UCS) and Young's modulus (E) are key indexes for measuring rocks’ durability. Several types of artificial intelligence (AI) methods have been used for modeling these key indexes; however, surprisingly, no explainable AI (XAI) has been considered for their model developments. An XAI is a model whose assessment is not a black box, and humans could understand its problem solution approach. This study has filled this gap and presented SHAP (Shapley Additive Explanations) as one of the most recent XAI methods for modeling UCS, and E. SHAP value could successfully illustrate intercorrelations between rock properties (porosity, point load index, P-wave velocity, and Schmidt hammer rebound number) and their representative UCS and E for each individual record and also together as variables. Results indicated that P-wave velocity has the highest importance for UCS and E prediction. eXtreme gradient boosting (XGBoost) was used as a solid predictive AI system for UCS and E estimation. Outcomes (R2> 0.99) confirmed the high accuracy of the SHAP-XGBoost model comparing with other typical AI models (Random Forest and Support Vector Regression). These results indicated XAI could be considered for illustrating complicated relationships within rock mechanics and energy-resource developments.

Formation processes of tafoni on pyroclastic rock surfaces with hydrothermal alteration on the Isotake coast, Shimane, Japan

Cliffs along the Isotake coast, Shimane, Japan, have two types of distinctive surfaces with different colours, with tafoni and without tafoni, even though they consist of the same pyroclastic rock. Rockfalls, which result in severe accidents, occur only on the surface without tafoni. Geochemical analyses of the cliff materials and the Schmidt hammer rebound test were conducted to elucidate the process of salt weathering in the formation of tafoni. The strontium stable isotope ratio (87Sr/86Sr) of the calcite (i.e., 0.706298) found on the backwall of tafoni indicated that the calcium in this calcite is derived from cliff materials, although the cliff receives seawater through splashing. Carbon, hydrogen, nitrogen and sulfur elemental analyses and X-ray diffraction pattern measurements revealed that clinoptilolite formed by hydrothermal alteration was more abundant in the cliff surfaces with tafoni than in those without tafoni, indicating a high abundance of calcium available for incorporation into calcite. The hardness of the cliff materials increases as the clinoptilolite content increases in any surface type. Consequently, tafoni preferentially form on surfaces with abundant clinoptilolite produced by hydrothermal alteration, although the surfaces have also been strengthened by hydrothermal alteration. Our results imply that the presence of tafoni indicates an overall lower risk of rockfalls.

The impact of RCA and fly ash on the mechanical and durability properties of polypropylene fibre-reinforced concrete exposed to freeze-thaw cycles and MgSO4 with ANN modeling

An experimental study has been conducted to investigate the impact of recycled coarse aggregate (RCA) and fly ash (FA) on the transport, mechanical and durability properties of polypropylene fiber reinforced concretes. In this context, nine concrete mixtures with 25% FA as cement replacement (by wt.) and nine mixtures without FA were produced. RCA was used to replace natural coarse aggregates (NCA) at 0, 25 and 50% by wt. in all concrete mixtures. In addition, polypropylene fiber (PPF) was added to concrete mixtures at 0, 3 and 6% by volume. Mechanical performance was evaluated by compressive, splitting tensile strength at 7, 28 and 90 days and Schmidt rebound hammer at 90 days. Dry bulk density, water absorption, apparent porosity and sorptivity of concrete were also evaluated. Durability performance of concretes was evaluated by exposing to 50,100 and 150 freeze-thaw cycles and MgSO4 attack. Abrasion test on the concretes was also performed. After performing durability tests, compressive, splitting tensile strength, ultrasonic pulse velocity, microstructural observations and mass loss of the concretes were assessed. An artificial neural network (ANN) was also modeled for predicting experimental data. The results indicated that combined use of RCA, FA and PPF improved the compressive strength considerably and approximately 60 MPa was obtained in concretes with 25 and 50% RCA. The use of RCA in concretes with 25% FA has improved the mechanical properties. The mixture with 25% RCA, 6%PPF and without FA and the mixture with 50% RCA, 3%PPF and FA showed the best abrasion resistance. Reference and the mixture with 0% RCA, 25% FA and 6% PPF exhibited the lowest strength loss after the MgSO4 attack. Reference and the mixture with 25% RCA, 25% FA and 3% PPF performed the best after 100F-T cycles in terms of compressive strength. With the Bayesian regularized algorithm, material quantities for the target concrete properties can be obtained. The main outcome of this study is that using RCA, FA and PPF in concrete can give better performance in terms of mechanical and durability performance than normal concrete.

The hybrid effects of basalt and PVA fiber on properties of a cementitious composite: Physical properties and non-destructive tests

This study aimed to experimentally examine the physical properties and non-destructive properties of cementitious composites for different hybrid basalt and PVA fiber contents. The total fiber content of 2% was formed with five different proportions of PVA fiber and basalt fiber. Within the scope of the experimental studies, various mechanical (compressive strength and elasticity modulus), durability (capillary water absorption and water absorption), physical (apparent void volume and bulk density), non-destructive (ultrasonic pulse velocity and Schmidt rebound hammer) and microstructural (scanning electron microscopy) tests were carried out to investigate the properties of the produced hybrid fiber reinforced composites. The results showed that the water absorption capacity and water absorption coefficient by capillarity values decreased while the hardened composite density values increased as the basalt fiber ratio increased in the mixtures. The maximum ultrasonic pulse velocity values were obtained from P0B100 (consisting of only 100% basalt fiber) samples with the highest Schmidt rebound hammer values of 4.11 km/s and 32, respectively.