Editorial to the topical collection in Environmental Earth Sciences “Stone in the architectural heritage: from quarry to monuments—environment, exploitation, properties and durability”

Siegesmund, Siegfried; Sousa, Luís; López-Doncel, Rubén

doi:10.1007/s12665-018-7755-1

Cited by 6 publications

(3 citation statements)

References 39 publications

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“…Some causes of damage are evident in the high concentration of soluble salts, clay minerals in a large composition, and significantly accurate pores within the sandstone structure. Changes in the limestone's physical properties led to changes in its ability to withstand the damaged conditions [3] [4].…”

Section: Field Observations and Deterioration Causesmentioning

confidence: 99%

Evaluating the Role of Internal Factors in the Damage and the Methods of Treatment of the Limestone of Emir Hasan Mosque in Akhmim, Sohag, Egypt

Abd-Elkareem¹

2020

OJG

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Section: Field Observations and Deterioration Causesmentioning

confidence: 99%

Evaluating the Role of Internal Factors in the Damage and the Methods of Treatment of the Limestone of Emir Hasan Mosque in Akhmim, Sohag, Egypt

Abd-Elkareem¹

2020

OJG

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“…Natural stones are used worldwide at an increasing rate because of their availability, excellent physical-mechanical properties, and diversity of textural characteristics [1,2]. Several factors are considered during an exploration campaign of building stones, such as the fracturing in the quarry, which defines if a rock mass can be exploited, or the durability, which delimits the possible applications [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Predicting the Engineering Properties of Rocks from Textural Characteristics Using Some Soft Computing Approaches

Fereidooni

Sousa

2022

Materials

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Rock is used as a foundation and building material in many engineering projects and it is important to determine/predict its engineering properties before project construction. Petrographic and textural characteristics are useful parameters for predicting engineering properties of rocks in such applications. In this research, fifteen rock samples were taken and their engineering characteristics, namely dry and saturated unit weights, porosity, water absorption, slake durability index (SDI), Schmidt rebound hardness (SRH), ultrasonic P-wave velocity (UPV), and uniaxial compressive strength (UCS), were measured in the laboratory. Petrographic and textural characteristics of the rocks, determined from thin section and X-ray diffraction investigations, led to the evaluation of the texture coefficient (TC). Based on simple regression analysis (SRA), the TC values have direct relationships with density, SDI, SRH, UPV, and UCS, and inverse relationships with porosity and water absorption. Experimental models were developed using multiple regression analysis (MRA) and artificial neural network (ANN) to predict Id2, SRH, UPV, and UCS of the tested rocks from the values of TC. Some statistical parameters including Pearson regression coefficient (R), coefficient values account for (VAF), root mean square error (RMSE), mean absolute percentage error (MAPE), and performance index (PI) were calculated to assess the performances of the MRA and ANN models. The correlations between experimental and calculated values of Id2, SRH, UPV, and UCS indicated that predicted values of the ANN models are more valid than the MRA. Additionally, the residual error of the ANN models varies less than the MRA. Finally, it has been concluded that the SRA, MRA, and ANN methods can successfully predict the rock engineering properties from the TC.

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“…To realize this critical point, it is crucial to concentrate more on geological conditions in the deposits, to optimize a sustainable extraction of resources (Siegesmund and Török 2014). There are several conditioning factors of the exploitation and utilization of the building stones, some related with material itself like the physico-mechanical properties and others with geological constraints at outcrop scale (Carvalho et al 2013;Yarahmadi et al 2015Yarahmadi et al , 2019aYarahmadi et al , 2019bMustafa et al 2016;Sousa et al 2017Sousa et al , 2018Siegesmund et al 2018;Sousa 2019).…”

Section: Introductionmentioning

confidence: 99%

Building stone quarries: resource evaluation by block modelling and unmanned aerial photogrammetric surveys

2021

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The production of building stones shown an exponential growth in last decades as consequences of the demand and developments in the extraction and processing techniques. From the several conditioning factors affecting this industry, the geological constrains at quarry scale stands out as one of most important. Globalization and increasing competition in the building stone market require large raw material blocks to keep further processing as cost-effective as possible. Therefore, the potential extraction volume of in-situ stone blocks plays an important role in the yield of a dimensional stone quarry. The full characterization of the fracturing in the quarries comes up as fundamental in the assessment of the in-situ blocks volume/shape and potential extracted raw blocks. Identify the joint sets present, their spacing and the differences across the quarry demands a continuous assess during the quarry live span. Information from unmanned aerial vehicles helps in the field survey, namely trough digital surface models, orthophotos, and three-dimensional models. Also, the fracturing modelling by specific software programs is crucial to improve the block size assessment and the increase the quarry yield. In this research fracturing of twenty-one quarries of granite, limestone, marble, and slate from Portugal were assessed by combining field surveys with new techniques. From the studied quarries several cases were selected and presented to highlight the importance of this combined methodology in the fracturing assessment and how they can be helpful in the maximization of the resources and quarry management.

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Editorial to the topical collection in Environmental Earth Sciences “Stone in the architectural heritage: from quarry to monuments—environment, exploitation, properties and durability”

Cited by 6 publications

References 39 publications

Evaluating the Role of Internal Factors in the Damage and the Methods of Treatment of the Limestone of Emir Hasan Mosque in Akhmim, Sohag, Egypt

Evaluating the Role of Internal Factors in the Damage and the Methods of Treatment of the Limestone of Emir Hasan Mosque in Akhmim, Sohag, Egypt

Predicting the Engineering Properties of Rocks from Textural Characteristics Using Some Soft Computing Approaches

Building stone quarries: resource evaluation by block modelling and unmanned aerial photogrammetric surveys

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