Four concrete mixtures were designed in order to perform an experimental research. The use of steel slag as the substitute of selected natural aggregate fractions was examined. The concrete samples with substitution of individual natural aggregate fractions (4/8 mm and 8/16 mm), as well as samples with a total substitute of both fractions mentioned, were tested.
2.2. Mixture Proportions of Concrete Samples
The basic composition of the tested mixtures consisted of the same amount of Portland cement—350 kg per m3 of fresh concrete, tap water, superplasticizer, and three fractions of aggregates. Water to cement ratio was equal to 0.55. A volume ratio of fine aggregates to coarse aggregates 0/4 mm:4/8 mm:8/16 mm was set to 4:3:3. The first mixture (CSS 0) was designed without any steel slag, only natural aggregates were incorporated, and thus the composition represented a reference concrete mixture. Nontraditional concrete with the replacement of natural aggregate with steel slag was designed in three variants. In the first variant, in the CSS 4/8 concrete mixture, only the middle fraction of natural gravel aggregates with dimensions of 4/8 mm was replaced by steel slag, the other two fractions were represented by natural aggregates. A substitution of a coarse fraction (8/16 mm) by the same fraction of steel slag was performed in the mixture CSS 8/16. A complete substitution of the fractions of 4/8 and 8/16 mm of natural aggregates by steel slag of the same sizes was performed in mixture CSS 4/16.
The cubic and prism concrete samples were prepared in a standard manner, the mixtures were cast in steel molds with sizes of 150 mm × 150 mm × 150 mm, and 100 mm × 100 mm × 400 mm, respectively, and compacted with a vibrating equipment. After 24 h, the concrete samples were demolded and cured in water at 20 °C for 28 days.
2.3. Testing the Properties of Fresh and Hardened Concrete Samples
Fresh concrete mixtures were tested in order to determine their consistency and density. A slump—Abrams—test, according to [
40], was performed on the prepared fresh concrete mixtures immediately after mixing and after 30 min. The testing of hardened concrete composites included determination of the compressive strength in compliance with the corresponding standards [
41,
42], flexural strength [
43], depth of penetration of water under pressure [
44], frost resistance test, and deformation properties of concrete by the static modulus of elasticity in compression [
45].
The determination of compressive strength and depth of penetration were performed for all experimental mixtures after 28 days on the cubic specimens. Each set of the concrete specimens consisted of three cubic samples with the dimension of 150 mm per each experimental mixture.
Frost resistance of concrete samples was tested on two sets of concrete prism specimens (6 pcs of concrete prisms in total), which were subjected to 100 cycles of freezing. Freezing and de-freezing of the test specimens was performed in freezing cycles, during which the temperature of the freezing environment was within the range of −15 °C to 20 °C. One freezing cycle consisted of 4 h of freezing and 2 h of de-freezing. After the completion of the freezing stage (100 freezing cycles), the concrete specimens were surface-dried, and subsequently subjected to determination of their dimensions and weight. Afterwards, a flexural strength test and a test determining the strength in compression at the ends of the prisms were performed. Reference samples, i.e., prisms that had not been frozen, were tested to determine their dimensions, flexural strength, and strength at the ends of the prisms at the age of 28 days.
To determine the static modulus of elasticity, 2 sets of concrete prism specimens were tested. One set of test specimens (3 pieces) was used to determine the prism strength in compression and the other set (3 pieces) to determine the static modulus of elasticity in compression. The average value of prism strength in compression was applied to determine the tension used to measure the static modulus of elasticity.
2.4. Environmental Analysis
Environmental evaluation of the nontraditional concrete with steel slag as partial natural gravel aggregate replacement and the reference concretes without any slag addition was performed by using LCA SimaPro v8 software (PRé Consultants, Amersfoort, The Netherlands).
LCA methodology was standardized in ISO 14040 [
46] and ISO 14044 [
47] and consists of four principle steps: (1) goal and scope definition, (2) life cycle inventory (LCI), (3) life cycle impact assessment (LCIA), and (4) life cycle interpretation [
48]. An important part of the 1st step of the LCA is the determination of system boundaries (interval/scope of assessment). System boundaries define the processes to be analyzed with regard to material and energy flows and emissions, thus they define and structure the technical system under assessment. This necessarily leads to a delimitation of the different processes of the system under examination [
49]. The LCA analysis regarding the building materials is given in more detail in the EN 15804 standard [
50]. The setting of system boundaries for material life cycle assessment is usually as follows: cradle to gate, cradle to gate with options, and cradle to grave. The functional unit (FU) is a key element of LCA, which has to be clearly defined, since it presents a quantified description of the performance requirements that the product system fulfils. It also expresses a measure of the function of the studied system and it provides a reference to which the inputs and outputs can be related [
51]. The LCI inventory of inflows and outflows is to be performed over all processes that lie within the system boundaries. The quality requirements for gathered data can be defined and quality indicators can be established. Data quality requirements may address aspects such as time-, geographical-, and technology-related coverage of the included data [
52]. Due to the fact they have a significant effect on the results of LCA, they have been increasingly discussed in regards to their precise definition over the years [
53,
54,
55]. LCIA quantifies the overall impact of resource consumption and environmental emissions at different stages of a product life cycle [
56]. This step consists of the mandatory elements, such as selection of impact categories, category indicators, and characterization models. Other optional LCIA elements—normalization, grouping, and weighting—may be conducted depending on the goal and scope of the LCA study [
57]. The last step—the life cycle interpretation—is a systematic technique to identify, quantify, check, and evaluate information from the results of the LCI and/or the LCIA [
55].
Environmental analysis, in order to determine the overall environmental impacts of the prepared concretes, was conducted using Eco-indicator 99 method [
58]. This method is based on the damage approach and calculates environmental impacts in terms of damages (end points) relating to three main damage categories: human health, ecosystem quality, and resources [
59]. Impact indicators, which were under consideration in the study, resulting in the mentioned damage categories, are presented in
Table 3.
The functional unit of the LCA analysis was set to 1 m3 of concrete and the system boundaries were defined as cradle to gate (modules A1–A3 according to the EN 15804). The Ecoinvent database was applied to obtain the inventory data of the concrete components. The data included the life cycle from energy generation and raw material supply to the final products on the factory gate. Transports of the final materials to building site were not part of the system. The processes included in the particular data are listed below.
Unit data of Portland cement included all manufacturing processes, not excluding mixing and grinding, internal processes (transport, etc.), and infrastructure (specific machines and plant). Additional milling substances, fly ash, silica dust, and limestone were not considered as they are wastes to which no burdens are allocated within the database. The unit data regarding to natural gravel aggregates covered quarrying and treatment of the raw mineral including washing of the stone grains, which have been extracted from the repository and sorted in vibration sieves or in an upstream classifier. However, in natural aggregates data, the infrastructure and the production of the manufacturing facility were not considered.
Steel slag presented type of wastes to which no burdens were allocated within the Eco-invent database. Tap water data included the infrastructure, energy use for water treatment, and transportation to the final consumer. No emissions from water treatment were counted.
Superplasticizer’s data involved all processes related to preparation and transportation of raw materials, energy, infrastructure, and land use, as well as the generation of emissions to air. Emissions to air were considered as emanating in a high population density area. Auxiliaries, solid wastes, and emissions to water due to superplasticizer manufacturing were not included due to the lack of information. No by-products or co-products, nor storage of the final product, were considered in superplasticizer data as well.
Electricity included in all processes was selected from the database as medium voltage, average production EU. Transport included all relevant transport processes (rail and truck transport for imported bulk resources). The data used for the calculation represented the average European consumption for truck transport (EURO 6), as well as the standard EU electricity consumption for train transport. Operation of vehicle, production, maintenance, and disposal of vehicles, as well as the construction and maintenance and disposal of road, were also included. Inventory refers to the entire transport life cycle.
2.5. Sustainability Analysis
To assess the sustainability potential of concrete composites, the sustainability indexes (SUI
climate change, SUI
total, and SUI
resources) were set according to the Equations (1)–(3), respectively. This approach was based on the current studies, in which authors have addressed the effective use of binders to reduce the negative impacts, e.g., CO
2 emissions [
60,
61,
62]. In general, a larger amount of cement binder is needed to increase the compressive strength of concrete. Thus, with increasing concrete strength, CO
2 emissions also increase. Therefore, Lee et al. [
63] proposed to introduce a parameter that would evaluate CO
2 emissions for concretes with a binder content, which corresponds to an increase in strength of 1 MPa. Based on this philosophy, he used an indicator, which is defined as the ratio of the CO
2 eq of concrete and its strength. The SUI
climate change indicator proposed in our study contains, instead of the value of CO
2 eq, the value of an analogous environmental indicator expressing climate change, Equation (1).
where CCh is the contribution of the concrete to climate change (DALY) and f
c is the concrete compressive strength (MPa).
According to the same strategy, to evaluate the overall environmental load of concrete per 1 MPa, another indicator, SUI
total, was proposed:
where HHD is the contribution of the concrete to human health damage (DALY), EQD is ecosystem quality value (PAF m
2 yr), RE is resources extraction value (MJ), and f
c is the concrete compressive strength in MPa.
On the other hand, the proposed sustainability indicators express the need for the lowest possible contribution of the evaluated mixture to environmental damage, and at the same time the best possible functionality and durability of concrete material. Therefore, the lower the value of the indicator for the analyzed mixture, the more sustainable the concrete. The SUI
resources indicator is based on a similar concept of the lowest possible rate of depletion of natural resources of raw materials, and thus the highest possible replacement of natural aggregates with slag while achieving the best possible technical parameters of the resulting concrete composites. The rate of depletion of raw materials is represented by the amount of natural aggregate m(NGA) used in the concrete in kg and the technical parameters are represented by the concrete compressive strength f
c (MPa) and frost resistance coefficient (FRC) of the concrete, Equation (3). The SUI
resources indicator corresponds to the indicator used in [
63], where the authors evaluate the binder intensity in kg to compressive strength of concrete.
where m(NGA) is a mass of the natural gravel aggregates in the concrete (kg), f
c is the concrete compressive strength (MPa), and FRC is frost resistance coefficient.