Effect of the Cement-to-Water Ratio and Fractal Granular Model on the Prediction of Concretes Compressive Strength
Abstract The main objective of this work was to highlight the contribution of cement-to-water %$\mathrm{C}/\mathrm{W}%$ ratio and the fractal dimension %$\mathrm{FD}%$ model to the prediction of the compressive strength of concrete. In particular, the fractal dimension %$\mathrm{FD}%$ concept relati...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Abdeldjalil, Mhammed [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2022 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of concrete structures and materials - Berlin : Springer, 2012, 16(2022), 1 vom: 09. Aug. |
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| Übergeordnetes Werk: |
volume:16 ; year:2022 ; number:1 ; day:09 ; month:08 |
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| DOI / URN: |
10.1186/s40069-022-00526-8 |
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| Katalog-ID: |
SPR047799463 |
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| 520 | |a Abstract The main objective of this work was to highlight the contribution of cement-to-water %$\mathrm{C}/\mathrm{W}%$ ratio and the fractal dimension %$\mathrm{FD}%$ model to the prediction of the compressive strength of concrete. In particular, the fractal dimension %$\mathrm{FD}%$ concept relative to the size distribution of the granular mixtures provided an insight into the fineness and compactness of the granular mixtures. The unconventional fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ also effectively contributed to highlight the correlation between cement-to-water ratio and compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of concretes. Initially, 99 granular mixtures of concretes composition available in literature were investigated and for which the granular distributions by means of the fractal dimension %$\mathrm{FD}%$ model and the granular range %$\mathrm{D}/\mathrm{d}%$ were we determined. Then, 36 concrete mixtures endowed with different granular mixtures were elaborated and analysed. These enabled to validate and evaluate the reliability of the basic granular fractal model %${\mathrm{FGM}}_{\mathrm{g}}%$ and the influence of cement–water %$\mathrm{C}/\mathrm{W}%$ ratio of concretes mixtures when predicting the concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}.%$ The analytical model provided a close correlation with the experimental values of the compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of all the concretes. The correlation highlighted the relevance of including fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ that denoted the skeleton of the concretes and the cement–water %$\mathrm{C}/\mathrm{W}%$ ratio that referred to the binders into concretes mixtures when predicting %${\mathrm{R}}_{\mathrm{C}28}%$. The theoretical approach whose effectiveness was highlighted using a "limited" number of real case studies may pave the way for further studies, when selecting the two key-factors for the prediction of concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$. | ||
| 650 | 4 | |a concrete |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a compressive strength |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a unconventional parameter |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Chouicha, Kaddour |4 aut | |
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10.1186/s40069-022-00526-8 doi (DE-627)SPR047799463 (SPR)s40069-022-00526-8-e DE-627 ger DE-627 rakwb eng Abdeldjalil, Mhammed verfasserin (orcid)0000-0003-1470-4247 aut Effect of the Cement-to-Water Ratio and Fractal Granular Model on the Prediction of Concretes Compressive Strength 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The main objective of this work was to highlight the contribution of cement-to-water %$\mathrm{C}/\mathrm{W}%$ ratio and the fractal dimension %$\mathrm{FD}%$ model to the prediction of the compressive strength of concrete. In particular, the fractal dimension %$\mathrm{FD}%$ concept relative to the size distribution of the granular mixtures provided an insight into the fineness and compactness of the granular mixtures. The unconventional fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ also effectively contributed to highlight the correlation between cement-to-water ratio and compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of concretes. Initially, 99 granular mixtures of concretes composition available in literature were investigated and for which the granular distributions by means of the fractal dimension %$\mathrm{FD}%$ model and the granular range %$\mathrm{D}/\mathrm{d}%$ were we determined. Then, 36 concrete mixtures endowed with different granular mixtures were elaborated and analysed. These enabled to validate and evaluate the reliability of the basic granular fractal model %${\mathrm{FGM}}_{\mathrm{g}}%$ and the influence of cement–water %$\mathrm{C}/\mathrm{W}%$ ratio of concretes mixtures when predicting the concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}.%$ The analytical model provided a close correlation with the experimental values of the compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of all the concretes. The correlation highlighted the relevance of including fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ that denoted the skeleton of the concretes and the cement–water %$\mathrm{C}/\mathrm{W}%$ ratio that referred to the binders into concretes mixtures when predicting %${\mathrm{R}}_{\mathrm{C}28}%$. The theoretical approach whose effectiveness was highlighted using a "limited" number of real case studies may pave the way for further studies, when selecting the two key-factors for the prediction of concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$. concrete (dpeaa)DE-He213 compressive strength (dpeaa)DE-He213 granularity (dpeaa)DE-He213 fractal dimension (dpeaa)DE-He213 unconventional parameter (dpeaa)DE-He213 Chouicha, Kaddour aut Enthalten in International journal of concrete structures and materials Berlin : Springer, 2012 16(2022), 1 vom: 09. Aug. (DE-627)752436694 (DE-600)2724363-1 2234-1315 nnns volume:16 year:2022 number:1 day:09 month:08 https://dx.doi.org/10.1186/s40069-022-00526-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 16 2022 1 09 08 |
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10.1186/s40069-022-00526-8 doi (DE-627)SPR047799463 (SPR)s40069-022-00526-8-e DE-627 ger DE-627 rakwb eng Abdeldjalil, Mhammed verfasserin (orcid)0000-0003-1470-4247 aut Effect of the Cement-to-Water Ratio and Fractal Granular Model on the Prediction of Concretes Compressive Strength 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The main objective of this work was to highlight the contribution of cement-to-water %$\mathrm{C}/\mathrm{W}%$ ratio and the fractal dimension %$\mathrm{FD}%$ model to the prediction of the compressive strength of concrete. In particular, the fractal dimension %$\mathrm{FD}%$ concept relative to the size distribution of the granular mixtures provided an insight into the fineness and compactness of the granular mixtures. The unconventional fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ also effectively contributed to highlight the correlation between cement-to-water ratio and compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of concretes. Initially, 99 granular mixtures of concretes composition available in literature were investigated and for which the granular distributions by means of the fractal dimension %$\mathrm{FD}%$ model and the granular range %$\mathrm{D}/\mathrm{d}%$ were we determined. Then, 36 concrete mixtures endowed with different granular mixtures were elaborated and analysed. These enabled to validate and evaluate the reliability of the basic granular fractal model %${\mathrm{FGM}}_{\mathrm{g}}%$ and the influence of cement–water %$\mathrm{C}/\mathrm{W}%$ ratio of concretes mixtures when predicting the concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}.%$ The analytical model provided a close correlation with the experimental values of the compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of all the concretes. The correlation highlighted the relevance of including fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ that denoted the skeleton of the concretes and the cement–water %$\mathrm{C}/\mathrm{W}%$ ratio that referred to the binders into concretes mixtures when predicting %${\mathrm{R}}_{\mathrm{C}28}%$. The theoretical approach whose effectiveness was highlighted using a "limited" number of real case studies may pave the way for further studies, when selecting the two key-factors for the prediction of concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$. concrete (dpeaa)DE-He213 compressive strength (dpeaa)DE-He213 granularity (dpeaa)DE-He213 fractal dimension (dpeaa)DE-He213 unconventional parameter (dpeaa)DE-He213 Chouicha, Kaddour aut Enthalten in International journal of concrete structures and materials Berlin : Springer, 2012 16(2022), 1 vom: 09. Aug. (DE-627)752436694 (DE-600)2724363-1 2234-1315 nnns volume:16 year:2022 number:1 day:09 month:08 https://dx.doi.org/10.1186/s40069-022-00526-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 16 2022 1 09 08 |
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10.1186/s40069-022-00526-8 doi (DE-627)SPR047799463 (SPR)s40069-022-00526-8-e DE-627 ger DE-627 rakwb eng Abdeldjalil, Mhammed verfasserin (orcid)0000-0003-1470-4247 aut Effect of the Cement-to-Water Ratio and Fractal Granular Model on the Prediction of Concretes Compressive Strength 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The main objective of this work was to highlight the contribution of cement-to-water %$\mathrm{C}/\mathrm{W}%$ ratio and the fractal dimension %$\mathrm{FD}%$ model to the prediction of the compressive strength of concrete. In particular, the fractal dimension %$\mathrm{FD}%$ concept relative to the size distribution of the granular mixtures provided an insight into the fineness and compactness of the granular mixtures. The unconventional fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ also effectively contributed to highlight the correlation between cement-to-water ratio and compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of concretes. Initially, 99 granular mixtures of concretes composition available in literature were investigated and for which the granular distributions by means of the fractal dimension %$\mathrm{FD}%$ model and the granular range %$\mathrm{D}/\mathrm{d}%$ were we determined. Then, 36 concrete mixtures endowed with different granular mixtures were elaborated and analysed. These enabled to validate and evaluate the reliability of the basic granular fractal model %${\mathrm{FGM}}_{\mathrm{g}}%$ and the influence of cement–water %$\mathrm{C}/\mathrm{W}%$ ratio of concretes mixtures when predicting the concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}.%$ The analytical model provided a close correlation with the experimental values of the compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of all the concretes. The correlation highlighted the relevance of including fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ that denoted the skeleton of the concretes and the cement–water %$\mathrm{C}/\mathrm{W}%$ ratio that referred to the binders into concretes mixtures when predicting %${\mathrm{R}}_{\mathrm{C}28}%$. The theoretical approach whose effectiveness was highlighted using a "limited" number of real case studies may pave the way for further studies, when selecting the two key-factors for the prediction of concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$. concrete (dpeaa)DE-He213 compressive strength (dpeaa)DE-He213 granularity (dpeaa)DE-He213 fractal dimension (dpeaa)DE-He213 unconventional parameter (dpeaa)DE-He213 Chouicha, Kaddour aut Enthalten in International journal of concrete structures and materials Berlin : Springer, 2012 16(2022), 1 vom: 09. Aug. (DE-627)752436694 (DE-600)2724363-1 2234-1315 nnns volume:16 year:2022 number:1 day:09 month:08 https://dx.doi.org/10.1186/s40069-022-00526-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 16 2022 1 09 08 |
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10.1186/s40069-022-00526-8 doi (DE-627)SPR047799463 (SPR)s40069-022-00526-8-e DE-627 ger DE-627 rakwb eng Abdeldjalil, Mhammed verfasserin (orcid)0000-0003-1470-4247 aut Effect of the Cement-to-Water Ratio and Fractal Granular Model on the Prediction of Concretes Compressive Strength 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The main objective of this work was to highlight the contribution of cement-to-water %$\mathrm{C}/\mathrm{W}%$ ratio and the fractal dimension %$\mathrm{FD}%$ model to the prediction of the compressive strength of concrete. In particular, the fractal dimension %$\mathrm{FD}%$ concept relative to the size distribution of the granular mixtures provided an insight into the fineness and compactness of the granular mixtures. The unconventional fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ also effectively contributed to highlight the correlation between cement-to-water ratio and compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of concretes. Initially, 99 granular mixtures of concretes composition available in literature were investigated and for which the granular distributions by means of the fractal dimension %$\mathrm{FD}%$ model and the granular range %$\mathrm{D}/\mathrm{d}%$ were we determined. Then, 36 concrete mixtures endowed with different granular mixtures were elaborated and analysed. These enabled to validate and evaluate the reliability of the basic granular fractal model %${\mathrm{FGM}}_{\mathrm{g}}%$ and the influence of cement–water %$\mathrm{C}/\mathrm{W}%$ ratio of concretes mixtures when predicting the concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}.%$ The analytical model provided a close correlation with the experimental values of the compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of all the concretes. The correlation highlighted the relevance of including fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ that denoted the skeleton of the concretes and the cement–water %$\mathrm{C}/\mathrm{W}%$ ratio that referred to the binders into concretes mixtures when predicting %${\mathrm{R}}_{\mathrm{C}28}%$. The theoretical approach whose effectiveness was highlighted using a "limited" number of real case studies may pave the way for further studies, when selecting the two key-factors for the prediction of concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$. concrete (dpeaa)DE-He213 compressive strength (dpeaa)DE-He213 granularity (dpeaa)DE-He213 fractal dimension (dpeaa)DE-He213 unconventional parameter (dpeaa)DE-He213 Chouicha, Kaddour aut Enthalten in International journal of concrete structures and materials Berlin : Springer, 2012 16(2022), 1 vom: 09. Aug. (DE-627)752436694 (DE-600)2724363-1 2234-1315 nnns volume:16 year:2022 number:1 day:09 month:08 https://dx.doi.org/10.1186/s40069-022-00526-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 16 2022 1 09 08 |
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10.1186/s40069-022-00526-8 doi (DE-627)SPR047799463 (SPR)s40069-022-00526-8-e DE-627 ger DE-627 rakwb eng Abdeldjalil, Mhammed verfasserin (orcid)0000-0003-1470-4247 aut Effect of the Cement-to-Water Ratio and Fractal Granular Model on the Prediction of Concretes Compressive Strength 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The main objective of this work was to highlight the contribution of cement-to-water %$\mathrm{C}/\mathrm{W}%$ ratio and the fractal dimension %$\mathrm{FD}%$ model to the prediction of the compressive strength of concrete. In particular, the fractal dimension %$\mathrm{FD}%$ concept relative to the size distribution of the granular mixtures provided an insight into the fineness and compactness of the granular mixtures. The unconventional fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ also effectively contributed to highlight the correlation between cement-to-water ratio and compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of concretes. Initially, 99 granular mixtures of concretes composition available in literature were investigated and for which the granular distributions by means of the fractal dimension %$\mathrm{FD}%$ model and the granular range %$\mathrm{D}/\mathrm{d}%$ were we determined. Then, 36 concrete mixtures endowed with different granular mixtures were elaborated and analysed. These enabled to validate and evaluate the reliability of the basic granular fractal model %${\mathrm{FGM}}_{\mathrm{g}}%$ and the influence of cement–water %$\mathrm{C}/\mathrm{W}%$ ratio of concretes mixtures when predicting the concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}.%$ The analytical model provided a close correlation with the experimental values of the compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of all the concretes. The correlation highlighted the relevance of including fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ that denoted the skeleton of the concretes and the cement–water %$\mathrm{C}/\mathrm{W}%$ ratio that referred to the binders into concretes mixtures when predicting %${\mathrm{R}}_{\mathrm{C}28}%$. The theoretical approach whose effectiveness was highlighted using a "limited" number of real case studies may pave the way for further studies, when selecting the two key-factors for the prediction of concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$. concrete (dpeaa)DE-He213 compressive strength (dpeaa)DE-He213 granularity (dpeaa)DE-He213 fractal dimension (dpeaa)DE-He213 unconventional parameter (dpeaa)DE-He213 Chouicha, Kaddour aut Enthalten in International journal of concrete structures and materials Berlin : Springer, 2012 16(2022), 1 vom: 09. Aug. (DE-627)752436694 (DE-600)2724363-1 2234-1315 nnns volume:16 year:2022 number:1 day:09 month:08 https://dx.doi.org/10.1186/s40069-022-00526-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 16 2022 1 09 08 |
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Effect of the Cement-to-Water Ratio and Fractal Granular Model on the Prediction of Concretes Compressive Strength concrete (dpeaa)DE-He213 compressive strength (dpeaa)DE-He213 granularity (dpeaa)DE-He213 fractal dimension (dpeaa)DE-He213 unconventional parameter (dpeaa)DE-He213 |
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Effect of the Cement-to-Water Ratio and Fractal Granular Model on the Prediction of Concretes Compressive Strength |
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Abstract The main objective of this work was to highlight the contribution of cement-to-water %$\mathrm{C}/\mathrm{W}%$ ratio and the fractal dimension %$\mathrm{FD}%$ model to the prediction of the compressive strength of concrete. In particular, the fractal dimension %$\mathrm{FD}%$ concept relative to the size distribution of the granular mixtures provided an insight into the fineness and compactness of the granular mixtures. The unconventional fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ also effectively contributed to highlight the correlation between cement-to-water ratio and compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of concretes. Initially, 99 granular mixtures of concretes composition available in literature were investigated and for which the granular distributions by means of the fractal dimension %$\mathrm{FD}%$ model and the granular range %$\mathrm{D}/\mathrm{d}%$ were we determined. Then, 36 concrete mixtures endowed with different granular mixtures were elaborated and analysed. These enabled to validate and evaluate the reliability of the basic granular fractal model %${\mathrm{FGM}}_{\mathrm{g}}%$ and the influence of cement–water %$\mathrm{C}/\mathrm{W}%$ ratio of concretes mixtures when predicting the concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}.%$ The analytical model provided a close correlation with the experimental values of the compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of all the concretes. The correlation highlighted the relevance of including fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ that denoted the skeleton of the concretes and the cement–water %$\mathrm{C}/\mathrm{W}%$ ratio that referred to the binders into concretes mixtures when predicting %${\mathrm{R}}_{\mathrm{C}28}%$. The theoretical approach whose effectiveness was highlighted using a "limited" number of real case studies may pave the way for further studies, when selecting the two key-factors for the prediction of concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$. © The Author(s) 2022 |
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Abstract The main objective of this work was to highlight the contribution of cement-to-water %$\mathrm{C}/\mathrm{W}%$ ratio and the fractal dimension %$\mathrm{FD}%$ model to the prediction of the compressive strength of concrete. In particular, the fractal dimension %$\mathrm{FD}%$ concept relative to the size distribution of the granular mixtures provided an insight into the fineness and compactness of the granular mixtures. The unconventional fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ also effectively contributed to highlight the correlation between cement-to-water ratio and compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of concretes. Initially, 99 granular mixtures of concretes composition available in literature were investigated and for which the granular distributions by means of the fractal dimension %$\mathrm{FD}%$ model and the granular range %$\mathrm{D}/\mathrm{d}%$ were we determined. Then, 36 concrete mixtures endowed with different granular mixtures were elaborated and analysed. These enabled to validate and evaluate the reliability of the basic granular fractal model %${\mathrm{FGM}}_{\mathrm{g}}%$ and the influence of cement–water %$\mathrm{C}/\mathrm{W}%$ ratio of concretes mixtures when predicting the concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}.%$ The analytical model provided a close correlation with the experimental values of the compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of all the concretes. The correlation highlighted the relevance of including fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ that denoted the skeleton of the concretes and the cement–water %$\mathrm{C}/\mathrm{W}%$ ratio that referred to the binders into concretes mixtures when predicting %${\mathrm{R}}_{\mathrm{C}28}%$. The theoretical approach whose effectiveness was highlighted using a "limited" number of real case studies may pave the way for further studies, when selecting the two key-factors for the prediction of concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$. © The Author(s) 2022 |
| abstract_unstemmed |
Abstract The main objective of this work was to highlight the contribution of cement-to-water %$\mathrm{C}/\mathrm{W}%$ ratio and the fractal dimension %$\mathrm{FD}%$ model to the prediction of the compressive strength of concrete. In particular, the fractal dimension %$\mathrm{FD}%$ concept relative to the size distribution of the granular mixtures provided an insight into the fineness and compactness of the granular mixtures. The unconventional fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ also effectively contributed to highlight the correlation between cement-to-water ratio and compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of concretes. Initially, 99 granular mixtures of concretes composition available in literature were investigated and for which the granular distributions by means of the fractal dimension %$\mathrm{FD}%$ model and the granular range %$\mathrm{D}/\mathrm{d}%$ were we determined. Then, 36 concrete mixtures endowed with different granular mixtures were elaborated and analysed. These enabled to validate and evaluate the reliability of the basic granular fractal model %${\mathrm{FGM}}_{\mathrm{g}}%$ and the influence of cement–water %$\mathrm{C}/\mathrm{W}%$ ratio of concretes mixtures when predicting the concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}.%$ The analytical model provided a close correlation with the experimental values of the compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$ of all the concretes. The correlation highlighted the relevance of including fractal granular model %${\mathrm{FGM}}_{\mathrm{g}}%$ that denoted the skeleton of the concretes and the cement–water %$\mathrm{C}/\mathrm{W}%$ ratio that referred to the binders into concretes mixtures when predicting %${\mathrm{R}}_{\mathrm{C}28}%$. The theoretical approach whose effectiveness was highlighted using a "limited" number of real case studies may pave the way for further studies, when selecting the two key-factors for the prediction of concretes compressive strength %${\mathrm{R}}_{\mathrm{C}28}%$. © The Author(s) 2022 |
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Effect of the Cement-to-Water Ratio and Fractal Granular Model on the Prediction of Concretes Compressive Strength |
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Chouicha, Kaddour |
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