Petrography, mineralogy and geochemistry
The thin section observations allow the identification of the main petrographic characteristics of the studied limestones, which are summarized below and illustrated in Fig. 3.
ALP - Tectonized micritic limestone with oncolits; show slight recrystallized and red stylolitic planes and calcite veins are remarkable features (Carvalho, 2013).
ATAZ - This variety is very compact and with a uniform texture. Is classified as a pelmicrite, with frequent bioclasts of small size (Carvalho, 2013).
ATCR - Similar to ATAZ with a cream hue. When impregnated by yellowish hydrated iron oxides the peloids can produce different hues (Carvalho et al. 2018).
CODFV - Bioclastic and oolithoclastic grainstone with abundant sparitic cement. A sedimentary lamination, visible by differences in grain size is a common feature (Fig. 3c). Large pores are frequent.
LIOZ - Microcrystalline, bioclastic, fossiliferous limestone. The fossil content of rudist is a remarkable feature of this stone (Silva, 2017).
MCCT - This sample is made of coarse intraclasts and bioclasts and a variable amount of peloids, with abundant sparitic cement (Carvalho 2013; Carvalho et al. 2014). It shows evident lamination from alternating levels of different grain sizes and compositions (Fig. 3a). Large spheroidal or ellipsoidal pores are frequent.
SBR - Biolithoclastic limestone, with fine to coarse peloids and ooids. Large spheroidal or ellipsoidal pores are frequent.
SBM - Similar to SBR samples with a lighter hue. The outermost part of the peloids are slightly impregnated by yellowish hydrated iron oxides.
VPAZ - Micritic limestone with some marl content, occasionally oolitic, peloidal or intraclastic and bioclastic rich.
VPCR - Similar to VPAZ but with coarser bioclastic content. Consequently, as a lighter hue than VPAZ sample.
VAV - Micritic limestone with ooids, oncoids and bioclasts. Alternating levels with a variable proportion of allochemical components can be observed. Some iron-rich lines are observed in the packstone levels (see right side of Fig. 3f).
Table 1 the main characteristics of the selected limestones are presented, as well their classification according to Dunham (1962) and Folk (1962).
The pores are more frequent in the MCCT, CODFV, SBR and SBM samples, occurring dispersed in the thin sections. They are usually isolated spheroidal within the sparry cement and sometimes arranged as a circular crown around the allochemical components (Carvalho et al 2018). The mean pore size is comprised between 50 µm and 200 µm in limestones from MCE (Carvalho et al 2018), however some larger pores were observed and could be originated during the thin section preparation.
Table 1
General characteristics and classification of the selected limestones (according to Dunham (1962) and Folk (1962)).
Sample
|
General characteristics
|
Classification
|
ALP
|
Grey limestone composed of a micritic matrix (95%) and 5% of components
|
Pelagic mudstone (after Dunham, 1962) and Micrite (after Folk, 1962)
|
ATAZ
|
Light cream limestone with 50% groundmass and 50% components
|
Peloidal wackestone (after Dunham, 1962) and Pelmicrite (after Folk, 1962)
|
ATCR
|
Cream coloured limestone with 60% groundmass and 40% components
|
Peloidal wackestone and packstone (after Dunham, 1962) and Pelmicrite (after Folk, 1962)
|
CODFV
|
Light grey limestone composed of 60% sparry calcite cement and 40% components
|
Ooid-peloid grainstone (after Dunham, 1962) and Oopelsparite (after Folk, 1962)
|
LIOZ
|
Fully recrystallized limestone composed of dolomite microcrystals (dolosparite and dolomicrosparite)
|
Dolosparite (after Folk, 1962)
|
MCCT
|
Light cream limestones composed of 50% sparite cement and 50% components
|
Bioclastic grainstone (after Dunham, 1962) and Biopelsparudite (after Folk, 1962)
|
SBM
|
Light cream limestone composed of 40% groundmass and 60% components
|
Peloidal grainstone (after Dunham, 1962) and Pelsparite (after Folk, 1962)
|
SBR
|
Light cream limestone composed of 40% groundmass and 60% components
|
Ooid grainstone (after Dunham, 1962) and Oosparudite (after Folk, 1962)
|
VAV
|
Light to medium grey limestone composed of 70% groundmass and 30% components.
|
Bioclastic packstone/grainstone (after Dunham, 1962) and Biosparite/Biodismicrite (after Folk, 1962).
|
VPAZ
|
Medium grey limestone composed of a micritic matrix (> 90%) and less than 10% of components
|
Pelagic Mudstone (after Dunham, 1962) and Micrite (after Folk, 1962)
|
VPCR
|
Light grey limestone composed of 60% groundmass and 40% components
|
Bioclastic floatstone (after Dunham, 1962) and Biomicrudite (after Folk, 1962).
|
These observations, namely the porosity, grain size, matrix and cement type (micrite/sparite) and allochems allow a first approach to the strength of the stones. Micrite and dolomite affect mechanical parameters positively while sparite and allochems decrease the strength parameters (Akram et al. 2017). Limestones with small crystals have a higher energy consumption during the wear than a macrocrystalline limestone, because the crack needs to pass more crystal boundaries which have a greater strength compared to cleavage planes (Jensen et al. 2010). Impurities as clay minerals decrease the strength and cause sudden changes in the microporous network characteristics and consequently turns variable the durability of the building stone (Tugrul and Zarif 2000; Jensen et al. 2010; Zammit and Cassar 2017).
The chemical composition of the studied limestones is very similar, with small differences (Table 2). The VAV limestone stands out showing a high quantity of magnesium and dolomite. In fact, VAV limestone shows a calcite percentage of 90.9 whilst the other limestones have values between 94.5 % and 98.4 %. With magnesium carbonate the opposite happens: VAV − 4.8%; others − 1.3% − 2.6%. These results are according to the information available in the Catalogue of Portuguese Ornamental Stones (Leite and Moura, 2021).
Table 2
Chemical composition of the limestones (values in percentage)
|
ALP
|
ATAZ
|
ATCR
|
CODFV
|
LIOZ
|
MCCT
|
SBM
|
SBR
|
VAV
|
VPAZ
|
VPCR
|
CaO
|
55.47
|
54.53
|
54.42
|
55.33
|
55.22
|
55.43
|
55.34
|
55.42
|
52.39
|
53.79
|
54.34
|
MgO
|
0.23
|
0.33
|
0.31
|
0.33
|
0.26
|
0.29
|
0.34
|
0.31
|
1.04
|
0.57
|
0.51
|
SiO2
|
0.13
|
0.59
|
0.84
|
0.1
|
0.34
|
0.05
|
0.09
|
0.05
|
1.46
|
1.06
|
0.71
|
Fe2O3
|
0.05
|
0.18
|
0.16
|
0.05
|
0.05
|
0.05
|
0.07
|
0.04
|
0.3
|
0.14
|
0.13
|
Al2O3
|
0.08
|
0.38
|
0.45
|
0.06
|
0.12
|
0.03
|
0.05
|
0.03
|
0.42
|
0.38
|
0.3
|
K2O
|
0.02
|
0.03
|
0.03
|
0.01
|
0.01
|
0
|
0.01
|
0
|
0.08
|
0.03
|
0.03
|
Mn2O3
|
0.02
|
0.02
|
0.02
|
0.01
|
0.01
|
0.01
|
0.01
|
0.01
|
0.02
|
0.01
|
0.01
|
Na2O
|
0.08
|
0.01
|
0.02
|
0.01
|
0
|
0
|
0.07
|
0
|
0.03
|
0.02
|
0.02
|
SO3
|
0.23
|
0.293
|
0.077
|
0.038
|
0.025
|
0.034
|
0.039
|
0.036
|
0.663
|
0.346
|
0.118
|
CO2
|
43.3
|
42.86
|
42.83
|
43.47
|
43.54
|
43.59
|
43.54
|
43.7
|
42.26
|
42.69
|
43.09
|
geb.H2O
|
0.37
|
0.55
|
0.75
|
0.39
|
0.34
|
0.3
|
0.3
|
0.29
|
1.24
|
0.82
|
0.57
|
Total
|
99.980
|
99.773
|
99.907
|
99.798
|
99.915
|
99.784
|
99.859
|
99.886
|
99.903
|
99.856
|
99.828
|
CaCO3
|
98.391
|
96.466
|
96.319
|
97.893
|
97.870
|
98.171
|
97.886
|
98.103
|
90.886
|
94.550
|
95.680
|
MgCO3
|
1.052
|
1.509
|
1.418
|
1.509
|
1.189
|
1.326
|
1.555
|
1.418
|
4.757
|
2.607
|
2.333
|
CaCO3 + MgCO3
|
99.443
|
97.975
|
97.737
|
99.402
|
99.060
|
99.497
|
99.441
|
99.521
|
95.642
|
97.157
|
98.013
|
Density, porosity, pore radii
The bulk density varies slightly between 2.61 and 2.71 g/cm3 in eight samples and is lower 2.22–2.39 g/cm3 in four samples because of the higher percentage of void space (Table 3), in accordance with published data (Matović and Ćalić 2016; Siegesmund and Dürrast 2014). Oolitic limestones show the lowest values as previously pointed out by Siegesmund and Dürrast (2014). The real or matrix density is close to the density of calcite, as is usual since it is the main component of the limestones studied (Matović and Ćalić 2016).
Table 3
Obtained values of porosity, bulk density, matrix density and capillary water absorption (CWA).
Stone
|
Bulk density (g/cm3)
|
Mtx density (g/cm3)
|
Porosity (%)
|
CWA (Kg/m2h1/2)
|
ALP
|
2.70
|
2.71
|
0.55
|
0.55
|
ATAZ
|
2.69
|
2.70
|
0.47
|
0.37
|
ATCR
|
2.67
|
2.70
|
1.17
|
0.86
|
CODFV
|
2.28
|
2.71
|
16.11
|
2.94
|
LIOZ
|
2.71
|
2.71
|
0.11
|
0.38
|
MCCT
|
2.39
|
2.71
|
11.94
|
1.59
|
SBM
|
2.22
|
2.71
|
18.80
|
5.50
|
SBR
|
2.35
|
2.71
|
13.48
|
3.05
|
VAV
|
2.64
|
2.71
|
1.27
|
0.81
|
VPAZ
|
2.64
|
2.69
|
2.27
|
0.63
|
VPCR
|
2.61
|
2.71
|
3.87
|
0.39
|
The values of porosity show a wide range, from 0.11% in LIOZ limestone to 18.80% for the SBM variety, reflecting the span of rock types and related textures. These values of porosity are only valid for the studied samples and can be used as an approximated value for the limestone varieties since changes in the microporous network characteristics with depth of extraction have been reported (Tugrul and Zarif 2000; Zammit and Cassar 2017). Some varieties extracted in the MCE were previously studied and the porosity values range from 1.8–17.7% (Alves et al. 2011; Carvalho et al. 2018). Even the companies mention high values of porosity for some of the varieties exploited in MCE (Solancis 2021).
Textural characteristics control the porosity, therefore micritic varieties have lower values than the detritical varieties, which display intergranular voids (Benavente et al. 2015; Ruffolo et al. 2017). Reflecting the textural properties in limestones, a wide range of values of porosity can be found in literature, from values lower than 2% (Hashemi et al. 2018; Majeed et al. 2020; Hu et al. 2020; Korkanç et al. 2021) to values higher than 30% (Turgut et al. 2008; Eslami et al. 2010; La Russa et al. 2013; Szemerey-Kiss and Török 2017; Van Stappen et al. 2019; Zenah et al. 2020). The high variability of the porosity of limestones aware about their durability, because the porosity is an excellent indicator of weathering (Tugrul and Zarif 2000) and strength properties (Nasri et al. 2019; Nabawy and El Aal 2019). As porosity is the key factor controlling most of the petrophysical properties and durability, the samples CODFV, MCCT, SBM and SBR probably will be the less resistant to weathering.
The pore radii distribution, porosity and water absorption are important parameters in stone conservation studies, being related to stone weathering resistance (Siegesmund and Dürrast 2014). Results from mercury intrusion show the pore access radii (Vásquez et al. 2013) meaning that not interconnected pores will not be recognized, while the cracks are accounted as pores. Furthermore, some disturbance occurs during the injection of the mercury and the porosity values will be higher than those obtained by hydrostatic weighting (Freire-Gormaly et al. 2015; Anovitz and Cole 2015; Sousa et al. 2017). From the several pore size classification schemes (Vásquez et al. 2013; Siegesmund and Dürrast 2014), the following was used: pores lower than 0.1 µm (micropores); pores higher than 0.1 µm (capillary pores and macropores) (Klopfer 1985; Sousa et al. 2018). The pore sizes show an unequal bimodal distribution (see Ruedrich and Siegesmund 2006) with most of the pores distributed in the range between 0.01 µm and 0.8 µm and some pores with 10–50 µm (Fig. 4). Some samples exhibit a slightly tendency to a polymodal pore size distribution as pointed out by Nasri et al. (2019). According to Vásquez et al. (2013) the smallest pores (< 0.1 µm) are related with intragranular porosity, the largest pores (> 10 µm) represent the intergranular porosity and the intermedium size (around 1 µm) is the matrix porosity. The values of the pore access radii are low, with a mean value between 0.015 µm to 0.298 µm and mode values showing higher values, from 0.08 µm to 0.53 µm (Table 4). Clastic and most porous varieties (CODFV, MCCT, SBM and SBR) have the larger pore sizes, prevailing the matrix porosity with some intragranular pores. The same samples have a higher percentage of macroporosity (82.7%-90%), while the other samples show a higher microporosity (73.1%-95.4%). Besides a higher total porosity, the most porous samples have a higher potential of water absorption, with larger pores.
The values of pore access radii identified in previous researches show a wide range of values, according to the textural characteristics, pore network and methodology used in the determination. (Vásquez et al. 2013; Benavente et al. 2015; Freire-Gormaly et al. 2015; Török and Szemerey-Kiss 2019; Hu et al. 2020).
Table 4
Pore radii distribution, mean pore radii and percentage of micropores (0.001 µm to 0.1 µm; % Micr) and macropores (> 0.1 µm; % Macr)
Stone
|
0.001–0.01 µm (%)
|
0.01–0.1 µm (%)
|
0.1-1 µm (%)
|
1–10 µm (%)
|
10–100 µm (%)
|
Mean (µm)
|
Mode (µm)
|
% Micr
|
% Macr
|
ALP
|
52.2
|
40.1
|
0.0
|
2.1
|
5.6
|
0.018
|
0.008
|
92.3
|
7.7
|
ATAZ
|
48.2
|
34.4
|
4.4
|
0.0
|
15.9
|
0.033
|
0.008
|
79.7
|
20.3
|
ATCR
|
48.2
|
47.1
|
0.0
|
0.0
|
4.7
|
0.016
|
0.008
|
95.3
|
4.7
|
CODFV
|
1.5
|
10.1
|
83.1
|
2.8
|
2.5
|
0.299
|
0.53
|
11.6
|
88.4
|
LIOZ
|
48.9
|
30.0
|
0.0
|
0.0
|
21.1
|
0.068
|
0.008
|
78.9
|
21.1
|
MCCT
|
1.3
|
15.2
|
80.5
|
1.8
|
1.2
|
0.218
|
0.33
|
16.5
|
83.5
|
SBM
|
3.1
|
6.9
|
83.2
|
2.6
|
3.4
|
0.298
|
0.33
|
10.0
|
90.0
|
SBR
|
0.0
|
17.3
|
78.7
|
2.3
|
1.7
|
0.258
|
0.53
|
17.3
|
82.7
|
VAV
|
25.5
|
61.1
|
5.1
|
2.2
|
6.1
|
0.030
|
0.013
|
86.6
|
13.4
|
VPAZ
|
37.0
|
58.4
|
2.4
|
0.0
|
2.2
|
0.015
|
0.013
|
95.4
|
4.6
|
VPCR
|
0.9
|
72.2
|
19.0
|
0.9
|
7.0
|
0.075
|
0.033
|
73.1
|
26.9
|
Water absorption and hydric expansion
The dynamic of the absorption is similar for the stones (Fig. 5), but only the most porous (e.g., CODFV, MCCT, SBM and SBR) show a notorious water absorption. Within the first hours, the absorption of water is more evident and tends to stabilize after 6–9 hours, depending on the porous interconnectivity. After 24 hours the most porous samples show water uptake values in the range of 8.1–11.2 kg/m2 and the others in the range of 0.2–0.6 kg/m2. The sample SBM, with the highest porosity, reaches 100% of the weight absorption in 4 hours, revealing a good connection of the porous network. The water absorption is connected to the porosity and similar curves can be found in different types of rocks, but the size and connectivity of the pores affect the rate of absorption (Çelik and Kaçmaz 2016; Karagiannis et al. 2016; Feijoo et al. 2017; Sousa et al. 2018; Barroso et al. 2018). Sedimentary layering, stylolites, microfractures and heterogeneous micro-fabric impact the kinetic of water absorption in limestones (Tomašić et al. 2011; Siegesmund and Dürrast 2014; Zenah et al. 2020). As mentioned for porosity, CWA values show a wide range of values which are according to the published results (Siegesmund and Dürrast 2014; Vásquez et al. 2013, 2015; Benavente et al. 2015). Capillary water absorption (CWA) is higher in the porous samples (e.g., CODFV, MCCT, SBM and SBR) with values comprised between 1.59 and 5.50 kg/m2h1/2, and lower in the remaining samples, ranging from 0.37 to 0.86 kg/m2h1/2. These samples have a high percentage of macroporosity (> 1 µm) promoting the capillary imbibition and the water absorption rates (Benavente 2011; Benavente et al. 2015; Sousa et al. 2018; Nasri et al. 2019)
The values of hydric dilatation are lower than 0.09 mm/m, with exception of the Valverde (VAV) samples which reach 0.22–0.26 mm/m (Fig. 6). Usually, limestones show low hydric dilatation because these rocks have low clay content (Siegesmund and Dürrast, 2014). The presence of swelling clay is the cause for the dilation behaviour of natural stones and contributes to degradation (Wedekind et al. 2013; Cherblanc et al 2016; Nasri et al. 2019; Barnoos et al. 2020). Berthonneau et al. (2016) mention the effect of a low clay content (< 1.3%) in the macroscopic physical process of the hydric dilation. Aly et al. (2018) refer to the decaying forms related with the stylolitic planes, namely the unequal thermal expansion between the stone and the filling and/or the hydric expansion of the clay content of the stylolites. Gutiérrez et al. (2012) estimated a 12% of clay content in samples of Azul Valverde limestone, a variety similar to the VAV sample. VAV sample has the high content of aluminium and silica (Table 2) which probably denotes some clay content. The dark material observed in microstylolites of the VAV sample can have some clay minerals and further investigations must be performed to investigate this issue.
Ultrasonic wave velocity
The values of the compressional waves (VP) range between 4049 m/s to 5960 m/s, for the samples SBM and ATAZ, respectively (see Table 5). Porosity and textural characteristics have a great effect on the ultrasonic wave velocities and values from less than 2000 m/s to more than 6500 m/s can be found in literature, with significant variability among the specimens with high porosities (Kamh et al. 2017; Hashemi et al. 2018; Nina and Alber 2018; Freire-Lista et al. 2021). The VP depends on the density and elastic properties of the material (Rahman and Sarkar 2021). A good linear relationship between ultrasonic waves and open porosity in both dry and saturated conditions is found (Fig. 7), as observed in several investigations (Nina and Alber 2018; Nasri et al. 2019; Zenah et al. 2020). UCS values are usually related with VP (Çobanoğlu and Çelik 2008; Rahman and Sarkar 2021) which indicates that low porous samples (CODFV, MCCT, SBM and SBR) will have poor mechanical properties which is according to the results of similar varieties (the commercial designation is usually different from quarry to quarry) presented in the catalogues of Portuguese ornamental stones (Leite and Moura 2021; Assimagra 2021; Solancis 2021). In those catalogues the most varieties, similar to the porous limestones (CODFV, MCCT, SBM and SBR) show values of compression break load comprised between 50 MPa and 70 MPa, whilst the other samples showed values between 105 MPa and 150 MPa.
Table 5
Compressional wave velocities on dry and wet samples
Stone
|
VP dry (m/s)
|
VP wet (m/s)
|
ALP
|
5692
|
6232
|
ATAZ
|
5960
|
6052
|
ATCR
|
5600
|
5819
|
CODFV
|
4373
|
4452
|
LIOZ
|
5728
|
6014
|
MCCT
|
4536
|
4855
|
SBM
|
4049
|
4110
|
SBR
|
4321
|
4459
|
VAV
|
5014
|
5270
|
VPAZ
|
5555
|
5836
|
VPCR
|
5408
|
5674
|
Thermal dilatation
The thermal dilatation coefficient α was calculated under dry and wet conditions. The mean values range from 3.80×10− 6 K− 1 (VPCR) to 5.64×10− 6 K− 1 (MCCT) and from 3.86×10− 6 K− 1 (ALP) to 6.46×10− 6 K− 1 (ATAZ), respectively in dry and wet states (Table 6). The mean values under dry and wet conditions are 4.63×10− 6 K− 1 and 4.56×10− 6 K− 1, respectively, being very similar. The overall mean value of the thermal dilatation coefficient from the twenty-two determinations is 4.60×10− 6 K− 1. Systematic investigations of limestones are still missing but the results are according to the values previously obtained in this rock type and lower than those obtained in marbles (Siegesmund et al. 2010; Siegesmund and Dürrast 2014; Menningen et al. 2018).
The thermal dilatation ε (mm/m), as a function of temperature describes the expansion behaviour during thermal exposure and is plotted for all limestones in Figs. 8 and 9 under dry conditions. The slopes of the hysteresis curves are similar for all studied limestonesand almost linear.
The irreversible length change residual strain (εRS) under dry conditionsis almost zero, ranging from − 0.03 mm/m in VAV sample to 0.11 mm/m in MCCT sample. The negative values of residual strain near to zero are not meaningful, but the lowest value is found in the VAV sample, which probably has some clay content. Therefore, some dehydration reaction can occur as water is present in the pores. Under wet conditions, the residual strain is usually higher with values from − 0.01 mm/m for the VPAZ sample up to 0.45 mm/m for the CODFV sample. Five samples, which include the most porous ones (CODFV, LIOZ, MCCT, SBM and SBR), show a clear increase of the residual strain under wet conditions, with values in the range of 0.35–0.45 mm/m. The remaining samples have a different behaviour: ALP, VPAZ and VPCR show low variations (from − 0.01 to 0.8 mm/m); ATAZ, ATCR and VAV samples depict intermediate values (from 0.12 to 0.28 mm/m). As there are only few data of the residual strain in limestones available, a comparison is difficult. The results are higher than the value of 0.07 mm/m found in Kuacker variety (Siegesmund et al. 2010) and lower than the results obtained for marbles (Siegesmund and Dürrast 2014; Menningen et al. 2018).
Table 6
Thermal dilatation coefficient (α) and residual strain (εRS) after 3 dry and 4 wet cycles.
Limestone
|
Condition
|
Average α (× 10− 6.K− 1)
|
εRS (mm/m)
|
ALP
|
dry
|
4.47
|
-0.01
|
|
wet
|
3.86
|
0.02
|
ATAZ
|
dry
|
4.86
|
0.01
|
|
wet
|
6.46
|
0.28
|
ATCR
|
dry
|
4.32
|
0.00
|
|
wet
|
3.90
|
0.12
|
CODFV
|
dry
|
4.85
|
-0.01
|
|
wet
|
6.13
|
0.45
|
LIOZ
|
dry
|
4.17
|
0.03
|
|
wet
|
4.35
|
0.35
|
MCCT
|
dry
|
5.64
|
0.11
|
|
wet
|
4.13
|
0.39
|
SBM
|
dry
|
5.07
|
0.04
|
|
wet
|
4.98
|
0.35
|
SBR
|
dry
|
4.24
|
0.08
|
|
wet
|
4.20
|
0.35
|
VAV
|
dry
|
4.82
|
-0.03
|
|
wet
|
4.65
|
0.15
|
VPAZ
|
dry
|
4.74
|
-0.01
|
|
wet
|
3.65
|
-0.01
|
VPCR
|
dry
|
3.80
|
0.02
|
|
wet
|
3.90
|
0.08
|
Bowing test
Previous results from a bowing test with 95 cycles show the absence of permanent changes in the selected limestones, with one exception (Sousa et al. 2020). During the first 24 cycles the bowing increases continuously and reaches the value of 7 mm/m, remaining stable in the next 41 dry cycles. The next stage of the wet cycles showed a new increase of the bowing with a maximum value around 9 mm/m (Fig. 10a). Marble is the rock most prone to undergo such permanent deformation caused by the textural characteristics together with thermal strain in calcite (Siegesmund et al. 2000; Siegesmund et al. 2008; Menningen et al. 2018). Weathered granites can also display bowing behaviour (Sousa et al. 2017; Siegesmund et al. 2018). Although this phenomenon is described in many rock types there are scarce mentions to limestones (Siegesmund 2008).
To assess the bowing behaviour of the VAV sample, a new bowing test was performed in three specimens, with 105 cycles, mixing wet and dry cycles. The results confirm the bending of the VAV limestone, under the combined action of heat and water (Fig. 10b). The tested specimens display a similar evolution and the final bowing values range from 5.2 mm/m to 6.8 mm/m. During the first 6 dry cycles the samples stay unchanged, then deformation increases until the 13th cycle under wet conditions and finally a small recovery occurs in next seven dry cycles. After two wet cycles (21–22) a combination of wet/dry cycles was performed until the 84th cycle. These combined wet/dry cycles show an overall tendency of bowing increase proportional to the number of wet cycles. In fact, between cycles 22 and 29 (2 wet/5 dry) and 66 and 70 (1 wet/3 dry) a small reduction in the bending is perceived, whilst the remain intervals of measurements, where the number of wet cycles is higher than the dry cycles, show a continuous increase of the deformation. With the exceptions of two dry cycles (92–93), the remaining cycles were performed under wet conditions and once again the velocity of bowing increases. The results reveal a clear influence of the water in the bowing evolution, being faster during successive wet cycles and slower when dry and wet cycles are interposed. It is also clear that the dry cycles only allow a small recovery of the bending.
The results are according to the behaviour of VAV limestone reported by several stoneworkers (Fig. 11). High values of bowing are frequently observed in marbles (Menningen et al. 2018) but are unknown in limestones. Furthermore, the mineralogy and texture of the selected limestones are very similar, which makes the bowing behaviour of the VAV sample strange. This samples has a residual strain value similar to the other studied limestones (see Table 6). The only different factor in the VAV sample are the microstylolites impregnated with iron oxides. The water plays an important role since no bending occurs when dry cycles are running. The hydric expansion only is observed in the VAV sample which is the variety with higher water loss and higher magnesium, silica, iron and aluminium content (see Table 2). Probably some clay and iron content associated with the stylolitic planes are the reasons for the unusual bowing displayed by the VAV limestone. Gutiérrez et al. (2012) noted the presence of montmorillonite, a swelling clay mineral, in a similar limestone variety. Further studies are necessary to assess if clay swelling minerals are present in the micrite groundmass around or in the stylolitic planes. As mentioned above a small clay content can have a deep impact on stone expansion (Berthonneau et al. 2016; Nasri et al. 2019; Barnoos et al. 2020).
Thermal shock test
The thermal shock test causes a small diminution of the VP values, which is more evident in the cycles at high temperatures (200°C) especially in the most porous samples (Fig. 12). Fissures parallel to the cube faces and crossing all the samples are the only visible change, which probably is the cause for a fast decrease in the VP in some samples. Previous researches have shown that at temperatures up to 200°C an adjustment process occurs, and the small cracks gradually penetrate to form larger cracks (Meng et al. 2019). Existing microcracks and open porosity are key factors for the evolution of the limestones under increasing temperatures, as well as in freezing-thawing tests (Meng et al. 2020; Uğur and Toklu 2020). Grain size, texture, sedimentary layer can also affect the evolution of the limestones submitted to increased temperatures, however more evident effects are mentioned for higher temperatures (Pápay and Török 2018). Wang et al. (2020) refer an increase of about 0.2% and 0.7% when heated from 25 to 200°C and 200–300°C, respectively, while Meng et al. (2019) mention more evident changes after 500°C. Bisai et al. (2020) have shown that the combined process of heating followed by liquid nitrogen quenching causes more effect at 600°C with a reduction of about 62% in the UCS values. The results obtained in this experiment show that more massive and low porous limestones (ALP, ATAZ, ATCR, LIOZ, VAV, VPAZ, VPCR) seem to be more resistant to thermal shock, in accordance with previous properties.
Salt crystallization test
The results from the salt crystallization test depict a normal evolution of the samples weight (Fig. 13), with an increase in the first cycles following a progressive diminution according to the sample susceptibility (Nasri et al. 2018; Sousa et al. 2018). Visual inspection, used for monitoring the decay (Lubelli et al. 2018), denotes a progressive loss of material in some samples. The damage of a few millimetres can be very important when the stones are used for decorative purposes (Alves et al. 2011) where the primary consideration is the impact on aesthetic properties. After 16 cycles only the most porous samples (CODFV, MCCT, SBM and SBR) show signs of erosion (Fig. 13), starting at the corners and the edges, less notorious in the sample CODFV. The other samples only lose some material in previous cracks, stylolite joints, areas with heterogeneities as large elements or marked sedimentary layering (Fig. 14). However, the loss of material is balanced by the accumulation inside the porous network (Nasri et al. 2018) and only after around the 40th cycle weight diminution below the initial values is evident. The most porous samples have a maximum weight increase between 4% and 8%, whilst the others increase below 1%. The maximum loss is shown by the samples with high porosity as following, SBR lost 80% at cycle 54th, the SBM diminish 57% in 62 cycles, MCCT decreases 53% in 99 cycles and COFV depicts only 1.5% in 99 cycles. The sample LIOZ lose 0.5% related with a detachment of small pieces while the remaining samples still have positive values at the end of the test (99 cycles), ranging from 0.1% for the ATAZ sample to 0.9% for the VPCR sample. The real weight loss is higher as the weight of salt crystallized inside the samples and can be higher than the weight decrease (see Vásquez et al. 2013).
A wide range of effects can be perceived from literature review, varying from high loss to small or any change (Alves et al. 2011; Vázquez et al. 2013; Ruffolo et al 2017) mainly as a consequence of porosity and pore network. The effect of salt is related to porosity, indicating that stones with the larger quantity of pores have more contact surfaces between crystals and pore walls. In these surfaces more crystallization pressure is exerted, and more damage occurs (Espinosa-Marzal and Scherer 2008). The sample SBR starts to lose weight earlier than sample SBM, despite their lower porosity (SBR-13.4%; SBM-18.8%). The high mode of pore radii in SBR sample (SBM-0.33 µm; SBR-0.53 µm) and the slightly impregnation by yellowish hydrated iron oxides of the peloids in the SBM sample can justify the fast deterioration of SBR. In this regard the result of CODFV is surprisingly better than expected considering their high porosity and pore radii distribution. Possible causes are the abundant sparitic cement, which prevents the detachment of grains and cementation of loose particles by salt (Lubelli et a. 2018). Sample preparation could infill the pores by smaller particles from the disaggregation of the limestone itself. Urosevic et al. (2013) point out differences in sea spray ageing test as a consequence of the reduction of the interconnectivity and open porosity due to polishing. Such causes are not reasonable to justify the results of CODFV and more studies are necessary to understand the behaviour of this stone under salt-action.
The stones can be ranked according to their response to the salt crystallization to the test (Lubelli et al. 2014). However, not only the weight variation should be considered in this evaluation to consider cases like the CODFV sample (see Lubelli et al. 2018). Furthermore, when stones are used for their aesthetic appealing even small damages need to be considered. So, considering the results of the salt test the most porous stones (CODFV, MCCT, SBM and SBR) should be considered as susceptible to salt-action, whilst the other samples are resistant.