Search Results (710)

The global construction sector, a major consumer of virgin raw materials, is under increasing pressure to transition from a linear to a circular economy model. Marble waste, generated in large quantities during quarrying, cutting, and polishing operations, represents a promising secondary resource for sustainable construction applications. This systematic review was conducted in accordance with the PRISMA 2020 reporting guidelines to critically evaluate the utilization of marble waste in concrete and other building materials. A comprehensive literature search was performed using major scientific databases, and relevant studies published between 2000 and 2025 were analyzed. The findings consistently indicate that marble waste performs most effectively as a fine aggregate replacement at 10–20%, resulting in improved compressive strength, pore refinement, and durability. As a cement substitute, the optimum replacement level is generally 5–10%, beyond which dilution effects may adversely affect strength development. The performance is primarily attributed to improved particle packing and microstructural refinement. This review further highlights future pathways for industrial-scale implementation, mix optimization, standardisation, and policy integration to accelerate circular construction practices. These findings support the potential of marble waste as a sustainable material in advancing circular economy principles in the construction industry. Full article

The conservation of tuff- and coral rock-built architectural heritage structures (AHS) is challenging because access to original tuff and coral rock has become difficult and severely limited due to urbanization, land reclamation, the depletion of stone quarries, anti-mining and anti-quarrying legislation. An emerging approach to address this issue is to create compatible “replacement” rocks via geopolymerization, a process that is more sustainable and greener than the use of conventional cement and concrete. To explore the potential of geopolymers for AHS conservation strategies, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were implemented; 103 eligible articles were identified and classified into geopolymers for AHS (34 articles), tuff-built AHS (60 articles), and coral rock-built AHS (9 articles). Tuff substrates in AHSs appear in a variety of colors (yellowish-brown, grayish-cream, reddish-brown, pale greenish-gray and pink hues), densities (1.0–2.5 g/m³), and compressive strengths (3–100 MPa). Meanwhile, coral rock substrates in AHSs appear in whitish-cream color and are coarse-pored (1–5 MPa), fine-grained (8–15 MPa), and calcarenite (50–60 MPa). In terms of geopolymer formulation, metakaolin was reported as the most popular main precursor or admixture, while NaOH and Na₂SiO₃ were used simultaneously as alkaline activators. Aggregates used in geopolymer formulations depended on local availability, including quartz sand, river sand, crushed stones, carbonate stones, volcanic rock, volcanic sand, tuff, brick, ceramic tiles, and waste materials. Aesthetics, chemical composition, physical attributes, and mechanical properties have been identified as key criteria to ensure geopolymer compatibility for AHS conservation application. To date, geopolymers have been applied for AHS conservation as repair mortars, consolidants (i.e., grout and adhesives), and masonry strengthening (i.e., fiber-reinforced mortar). Finally, geopolymers formulated for AHS conservation have similar durability as the original substrate based on accelerated aging tests (i.e., salt mist, wet-dry, and freeze–thaw) and long-term outdoor exposure experiments. Full article

This study investigates the influence of rock mass discontinuities on blast-induced ground vibration attenuation in a marble quarry in eastern Taiwan. A total of 53 blasts and 106 vibration records were collected and analyzed using image-based rock mass characterization with WipFrag (Version 4) software. Discontinuity conditions were quantified through the joint factor (JF), defined by the median size (D50) and maximum size (D100) from cumulative size distribution curves. The PPV (peak particle velocity) data were fitted using the USBM, Sadovsky, and a modified Simangunsong equation incorporating a discontinuity correction factor. The modified Simangunsong model yielded the highest correlation (R² = 0.8632), followed by the Sadovsky (R² = 0.8067) and USBM (R² = 0.7674) equations, indicating improved in-sample fitting performance when discontinuity effects are included. The results show that explicitly considering discontinuity effects enhances the reliability of PPV estimates for the studied site and that highly fractured rock masses with smaller block sizes result in greater vibration attenuation. The study demonstrates that a practical approach to quantify discontinuities through image analysis and embedding them into empirical PPV attenuation models can be used to refine quarry blasting design for vibration control purposes. Full article

Sand extraction drastically alters ecosystem structure and initiates conditions for primary succession development. Forest stands aged 9, 16, 19, and 28 years were surveyed to assess understory vegetation and epiphytic lichen communities in post-mining sand and gravel quarries in eastern Latvia. Community structure and functional traits were analyzed. Younger stands (9–19 years) exhibited the highest understory species diversity, dominated by hemicryptophytes, open-habitat grasses, and low-to-moderate ecological value lichens, while older stands (28 years) supported high-value epiphytic lichens and understory species typical of oligotrophic boreal forests. In 9-year-old stands, high-value epiphytic lichens comprised, on average, 5.7% (SE = 1.6) total lichen cover, while in 28-year-old stands it was 24.8% (SE = 1.9). Species with animal-mediated seed dispersal were more prevalent in younger stands, reflecting indications of animal presence based on vegetation composition and observed animal damage on trees. No invasive species were recorded, likely due to quarry isolation (≥1 km closest edge of the forest ecosystem) and proximity to mature forest margins. Our results highlight the multidimensionality of biodiversity by integrating two taxonomic groups and indicate high potential for passive natural regeneration toward Western Taiga 9010 habitat conditions under an oligotrophic environment. Full article

Brazilian soils are prone to a gradual decline in fertility due to intensive agricultural activity combined with natural weathering, which increases the demand for chemical fertilizers. Among potential alternatives, soil remineralization using crushed rock is a promising strategy. Silicate agrominerals (SAs) applied as soil remineralizers have attracted attention due to their ability to supply plant-available nutrients while reducing dependence on conventional mineral fertilizers. This study evaluated the potential of residues from six quarries in Brazil as soil remineralizers as a regulatory screening assessment. Samples were subjected to mineralogical, petrological, and chemical characterization using an integrated approach, including X-ray diffraction (XRD), Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), and leaching experiments. XRD analysis revealed that anorthite and augite were the major minerals present in the mining waste. These minerals are less resistant to weathering, which enhances the release of macro- and micronutrients, essential for the development of various crops. Chemically, the samples were dominated by SiO₂, Fe₂O₃, and Al₂O₃, with the sum of bases (K₂O + CaO + MgO) ranging from 11.92% to 16.85%, meeting Brazilian standards for use as a soil remineralizer. Leaching results revealed that pH responses varied significantly among the studied samples for the filler particles, with an alkaline shift reaching values above 9.0 after 72 h. In contrast, the powder particle size samples showed no significant variation between the different materials tested, maintaining nearly constant pH levels throughout the period. This preliminary evaluation demonstrates that mining tailings from Brazilian quarries have potential as a sustainable soil remineralizer. This approach not only offers an alternative for soil fertilization but also promotes waste management and circular economy practices, although further studies are needed to assess long-term effectiveness and safety. Full article

This paper presents the numerical modeling and experimental testing of steel-reinforced columns composed of three types of concrete: reinforced cement concrete (RCC), geopolymer concrete (GPC), and geopolymer concrete incorporating quarry rock dust (GPCD). GPC columns were produced using fly ash (FA) and furnace slag (SG) in equal proportions (50% each), with the addition of 0.75% steel fibers by volume. In GPCD columns, 20% of SG was replaced with quarry rock dust (QRD). A total of twenty columns (200 mm × 200 mm × 1000 mm), designed for a compressive strength of 40 MPa (fc’), were tested under static loading. The experimental data were validated using finite element (FE) modeling in ABAQUS, where the Concrete Damaged Plasticity (CDP) model was adopted to describe concrete behavior. Calibration of the FE model for the control specimen was carried out by adjusting viscosity parameters, dilation angles, shape factors, plastic potential eccentricity, stress ratios, and mesh sizes. The calibrated control model was then employed for comparative analysis and validation against experimental results. For concentrically loaded columns, the predicted axial load and axial and lateral deflection responses closely matched the experimental observations. However, for eccentrically loaded columns, the FE model over-predicted the load-carrying capacity as well as axial and lateral deflections. The experimental findings indicate that both GPC and GPCD columns exhibited lower load-carrying capacities compared to RCC columns; however, the inclusion of steel fibers enhanced their performance. Overall, the proposed FE model demonstrated a good agreement with experimental observations, providing a reliable framework for predicting the structural behavior of geopolymer-based columns. Full article

This article addresses the regeneration of extractive landscapes through the case study of the abandoned quarry system of Cutrofiano in the Salento region of Southern Italy, positioning the quarry as a critical interface between geology, architecture, and contemporary environmental challenges. The study aims to redefine the quarry landscape not as a residual void, but as a potential ecological and cultural infrastructure. The research adopts an interdisciplinary methodology combining geomorphological and geotechnical surveys, historical and cartographic analysis, spatial interpretation, and a multi-criteria assessment framework to identify vulnerabilities and transformation potentials. The results include a strategic masterplan articulated into three integrated interventions: the conversion of the open-pit quarry into a flood-control basin for hydrogeological risk mitigation and sustainable water management; the transformation of the quarry floor into an energy park; and the design of cultural spaces for public use and territorial enhancement. These strategies demonstrate the feasibility of reconciling environmental safety, renewable energy production, and heritage valorization within a single morphological logic. The study concludes that the quarry can be reinterpreted as a regenerative landscape model, offering transferable tools for Mediterranean contexts characterized by similar geological and socio-economic conditions. Full article

Blasting operations in quarries are frequently carried out across benches with pronounced elevation variations, which affect the propagation of ground vibrations. This study examines vibration attenuation in a marble quarry in eastern Taiwan using both traditional empirical formulas and artificial neural networks (ANNs). Field measurements were collected from 54 production blasts, resulting in 322 vibration records at three distinct elevation levels. Several empirical equations—including an elevation correction factor—were applied and compared. Among these, the equation incorporating an adjusted elevation factor yielded higher R² values than the other empirical models. In parallel, a three-layer ANN trained in MATLAB, using inputs such as instantaneous charge, distance, elevation difference, and total charge per blast, achieved an R² of 0.951, highlighting total charge as a key parameter. Both the empirical and ANN methods proved effective for PPV prediction, but the ANN models demonstrated better accuracy when total charge was included. Full article

Fractures as critical discontinuous structural planes in rock masses, directly govern their stability and serve as the core controlling factor in rock mechanics engineering. Existing deep learning models for fracture extraction face persistent challenges, including imbalanced integration of deep and shallow features, limited suppression of background noise, inadequate multi-scale feature representation, and large parameter sizes—making it difficult to strike a balance between detection accuracy and deployment efficiency. Focusing on the Wanshanshan quarry in Yunnan, this study first constructs a high-precision digital model using close-range photogrammetry and 3D real-scene reconstruction. A lightweight yet high-accuracy intelligent detection method, termed MSEM-Deeplabv3+, is then proposed for rock mass fracture extraction. The model adopts lightweight MobileNetV2 as the backbone network, incorporating inverted residual modules and depthwise separable convolutions, resulting in a parameter size of only 6.02 MB and FLOPs of 30.170 G—substantially reducing computational overhead. Furthermore, the proposed MAGF (Multi-Scale Attention Gated Fusion) and SCSA (Spatial-Channel Synergistic Attention) modules are integrated to enhance the representation of fracture details and semantic consistency while effectively suppressing multi-source and multi-scale background interference. Experimental results demonstrate that the proposed model achieves an mPA of 89.69%, mIoU of 83.71%, F1-Score of 90.41%, and Kappa coefficient of 80.81%, outperforming the classic Deeplabv3+ model by 5.81%, 6.18%, 4.53%, and 9.2%, respectively. It also significantly surpasses benchmark models such as U-Net and HRNet. The method accurately captures fine and continuous fracture details, preserves the spatial distribution of long-range continuous fractures, and maintains robust performance on the CFD cross-scene dataset, showcasing strong adaptability and generalization capability. This approach effectively mitigates the risks associated with manual high-altitude inspections and provides a lightweight, high-precision, non-contact intelligent solution for fracture detection in high-steep rock slopes. Full article

This study aims to investigate the potential for using commercial building materials such as cement and quarry sand for developing functional building components with electrical energy storage capacities. Cubic specimens of cement mortars made from commercial Portland cement and quarry sand were fabricated, while commercial galvanized mesh, used for mortar reinforcement, was used as electrodes. Moreover, natural zeolites were used as additives to modify mortar electrical properties. Cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS) were used to assess the capacity of the fabricated specimens for electrical energy storage. Results indicated that the studied cement mortars modified with natural zeolites behave as a non-ideal electrical double-layer capacitor (EDLC) with stable capacitive behavior over time. This makes these cementitious materials promising for further research in electrical energy storage applications. Full article

Objective: The objective of this study was to map and critically synthesize empirical evidence on ML/AI applications across surface mining unit operations, and to characterize models, validation practices, and evidence gaps. Eligibility criteria: Our eligibility criteria comprised peer-reviewed studies (2020–2025) applying ML/AI to surface mining activities, training/validating models on empirical datasets, and reporting quantitative performance metrics. Information sources: Scopus, ScienceDirect, Dimensions, and Web of Science were our information sources, last searched December 2025 and supplemented by website and citation snowballing. Risk of bias: Risk of bias was assessed using an adapted domain-based approach based on PROBAST, used to interpret findings without excluding studies. Synthesis method: Our research employed a narrative synthesis (no meta-analysis due to heterogeneity in datasets, algorithms, contexts, and metrics), grouped by application domain. Results: From 5317 records, 57 studies were included, concentrated in blasting (43), followed by load and haul (6), post-dismantling management (4), extraction (2), and overall exploitation (2). Studies predominantly reported statistical metrics (e.g., R², RMSE, and MAE), with limited operational performance indicators; validation was frequently site-specific. Dataset sizes were not reported consistently across studies. Limitations: This study’s limitations were database coverage, restricted timeframe, and incomplete reporting (e.g., software/tooling). Conclusions: ML/AI shows strong potential, especially in blasting, but scalable deployment is constrained by site specificity, inconsistent reporting, and heterogeneous validation; standardized reporting and operational indicators are priorities. Registration: The systematic review protocol was registered in OSF with DOI 10.17605/OSF.IO/5UMKB. Funding: EU Erasmus+ STRIM project (1010832727). Full article

Universities are struggling in a continuously changing environment surrounded by both accelerated digitalization and increasingly influential Artificial Intelligence. However, experiential learning stemming from direct visualization still relies on traditional tools and supporting materials. This work presents how a historic geology museum can serve as a pedagogical innovation for Civil Engineering students despite the challenges universities face amid accelerating digitalization. The geological collections of the School of Civil Engineering at the Universidad Politécnica de Madrid, neglected for decades, have recently been restored and transformed into a dynamic university museum that now plays a significant role in both degree and MEng education. This museum preserves several Paleolithic collections assembled by its professors since the school’s establishment in 1802. Historical and museological research confirms that these holdings—2471 minerals, 4555 rocks, 2012 fossils, archeological materials, and a unique set of 1200 formatted stone samples from 19th- and early 20th-century Spanish quarries—constitute one of the oldest and most comprehensive geological collections preserved in a Spanish engineering institution. The museum’s revitalization is implying new research on several sub-collections, still in progress. In summary, the historical museum has been integrated into Civil Engineering teaching, supporting experiential and lifelong learning in geology and geotechnics. Furthermore, the museum serves as an innovative tool for teaching geology to secondary school students, promoting innovation in teaching practices and scientific dissemination, and encouraging interest in Earth sciences. Overall, the museum is becoming a valuable resource for innovative pedagogy to respond to the lifelong learning implications of STEM educational practices. Full article

The frequency and severity of extreme weather events have increased due to climate change, with floods emerging as one of the most common climate change-induced disasters the world over. South Africa is one of the countries most susceptible to floods in Southern Africa. Among the main factors exacerbating the impact of floods, particularly in urban areas in Africa, is waste. This article contributes solutions in dealing with the flood and solid waste challenges in urban informal settlements in South Africa through exploring the potential benefits of knowledge systems integration in tackling such challenges. Using the case of the Quarry Road West informal settlement in eThekwini Municipality, KwaZulu-Natal province, South Africa, the paper discusses the roles played by scientific, practitioner and local knowledge systems in responding to flood risk and solid waste challenges in this area over the years and the benefits that could be realised if these knowledge systems are deployed in a systematically integrated manner. Full article

This study examines the marble resources of the Mani peninsula, southern Greece, a region that has long been known for its white, gray-black (bigio antico), green (cipollino verde Tenario), and particularly red (rosso antico or lapis Taenarium) and dark (nero antico) marbles. Based on extensive fieldwork, more than 90 quarrying sites were documented, several of which were recorded for the first time. This study provides a systematic characterization of these stones through combined mineralogical, petrographic, and stable isotopic (δ¹⁸O, δ¹³C) analyses of 27 representative samples. The results confirm the presence of calcitic marbles, which vary in color due to hematite in the red varieties, graphite and organic matter in the gray-black and black types, and chlorite in the green marbles. The isotopic results demonstrate a generally high degree of homogeneity, although the red marbles display greater variability, complicating their distinction from analogous stones in Asia Minor, such as those from Iasos and Milas. Quarrying of Mani marbles began in the Bronze Age and reached its peak during Roman times. It continued into the Byzantine period, with renewed exploitation in the 19th and 20th centuries. This study highlights the significant role of Mani in the ancient marble trade and contributes to ongoing debates about the provenance of famous red, white, and black marbles across the Mediterranean. Furthermore, it establishes a strong reference framework, integrating new analytical results with the existing literature, providing an updated mineralogical, petrographic, and isotopic database for provenance studies of marble artifacts. Full article

This study presents the results of an archaeometric investigation of white marble votive reliefs from the Roman city of Pautalia (modern Kyustendil, Bulgaria), with the aim of clarifying patterns of material selection, production, and connectivity within the eastern provinces of the Roman Empire. Although these votive monuments, primarily dated to the 2nd and 3rd centuries AD, have long been examined from stylistic, iconographic, and epigraphic perspectives, the provenance of the marble used in their manufacture has remained largely unexplored. A total of 27 votive reliefs from urban and extra-urban sanctuary contexts were analysed using a multi-method approach combining petrographic analysis, stable isotope ratios (δ¹³C and δ¹⁸O), and trace element analysis by ICP-MS, and compared against an extensive geological reference database of ancient marble quarries. The results indicate a clear predominance of local and regional marble sources, alongside a limited but meaningful presence of imported material. This distribution pattern supports the existence of local workshops operating in or near Pautalia, which relied primarily on nearby quarry sources while selectively incorporating imported marble, likely through the reuse of pre-existing blocks or workshop offcuts rather than through systematic long-distance supply. These findings underscore Pautalia’s role as a regional production centre and as a nodal point within wider networks connecting the Aegean world and the Balkan hinterland. Full article