Optimizing self-compacting concrete: formulation approach enhanced by entropy method
Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivot...
Ausführliche Beschreibung
Autor*in: |
Hamdouni, Samir [verfasserIn] Benaicha, Mouhcine [verfasserIn] Hafidi Alaoui, Adil [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2024 |
---|
Schlagwörter: |
---|
Anmerkung: |
© The Author(s) 2024 |
---|
Übergeordnetes Werk: |
Enthalten in: Discover civil engineering - Springer International Publishing, 2024, 1(2024), 1 vom: 29. Aug. |
---|---|
Übergeordnetes Werk: |
volume:1 ; year:2024 ; number:1 ; day:29 ; month:08 |
Links: |
---|
DOI / URN: |
10.1007/s44290-024-00067-x |
---|
Katalog-ID: |
SPR057150281 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | SPR057150281 | ||
003 | DE-627 | ||
005 | 20240830064811.0 | ||
007 | cr uuu---uuuuu | ||
008 | 240830s2024 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1007/s44290-024-00067-x |2 doi | |
035 | |a (DE-627)SPR057150281 | ||
035 | |a (SPR)s44290-024-00067-x-e | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Hamdouni, Samir |e verfasserin |4 aut | |
245 | 1 | 0 | |a Optimizing self-compacting concrete: formulation approach enhanced by entropy method |
264 | 1 | |c 2024 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a © The Author(s) 2024 | ||
520 | |a Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivotal role in determining the ideal combination of components. It explores objective weighting techniques and their application in enhancing SCC performance by assigning weights to individual elements. Additionally, the effectiveness of additives such as superplasticizer, limestone filler, silica fume, and viscosity modifiers in enhancing SCC properties is assessed. Utilizing the Taguchi-TOPSIS method, the study proposes a systematic approach to tailor SCC formulations to specific criteria. The key findings demonstrate that the integration of the entropy method significantly enhances the optimization process, leading to improved flowability and stability of SCC. These insights provide a comprehensive framework for optimizing SCC, offering practical guidelines for the construction industry to achieve superior concrete performance. | ||
650 | 4 | |a Self-compacting concrete |7 (dpeaa)DE-He213 | |
650 | 4 | |a Optimization |7 (dpeaa)DE-He213 | |
650 | 4 | |a Weighting methods |7 (dpeaa)DE-He213 | |
650 | 4 | |a Tagushi-TOPSIS |7 (dpeaa)DE-He213 | |
650 | 4 | |a Entropy method |7 (dpeaa)DE-He213 | |
700 | 1 | |a Benaicha, Mouhcine |e verfasserin |4 aut | |
700 | 1 | |a Hafidi Alaoui, Adil |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Discover civil engineering |d Springer International Publishing, 2024 |g 1(2024), 1 vom: 29. Aug. |h Online-Ressource |w (DE-627)1889541451 |w (DE-600)3187755-2 |x 2948-1546 |7 nnns |
773 | 1 | 8 | |g volume:1 |g year:2024 |g number:1 |g day:29 |g month:08 |
856 | 4 | 0 | |u https://dx.doi.org/10.1007/s44290-024-00067-x |m X:SPRINGER |x Resolving-System |z kostenfrei |3 Volltext |
912 | |a SYSFLAG_0 | ||
912 | |a GBV_SPRINGER | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_2050 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4335 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4392 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 1 |j 2024 |e 1 |b 29 |c 08 |
author_variant |
s h sh m b mb a a h aa aah |
---|---|
matchkey_str |
article:29481546:2024----::piiigefopcigoceeomltoapoceh |
hierarchy_sort_str |
2024 |
publishDate |
2024 |
allfields |
10.1007/s44290-024-00067-x doi (DE-627)SPR057150281 (SPR)s44290-024-00067-x-e DE-627 ger DE-627 rakwb eng Hamdouni, Samir verfasserin aut Optimizing self-compacting concrete: formulation approach enhanced by entropy method 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivotal role in determining the ideal combination of components. It explores objective weighting techniques and their application in enhancing SCC performance by assigning weights to individual elements. Additionally, the effectiveness of additives such as superplasticizer, limestone filler, silica fume, and viscosity modifiers in enhancing SCC properties is assessed. Utilizing the Taguchi-TOPSIS method, the study proposes a systematic approach to tailor SCC formulations to specific criteria. The key findings demonstrate that the integration of the entropy method significantly enhances the optimization process, leading to improved flowability and stability of SCC. These insights provide a comprehensive framework for optimizing SCC, offering practical guidelines for the construction industry to achieve superior concrete performance. Self-compacting concrete (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Weighting methods (dpeaa)DE-He213 Tagushi-TOPSIS (dpeaa)DE-He213 Entropy method (dpeaa)DE-He213 Benaicha, Mouhcine verfasserin aut Hafidi Alaoui, Adil verfasserin aut Enthalten in Discover civil engineering Springer International Publishing, 2024 1(2024), 1 vom: 29. Aug. Online-Ressource (DE-627)1889541451 (DE-600)3187755-2 2948-1546 nnns volume:1 year:2024 number:1 day:29 month:08 https://dx.doi.org/10.1007/s44290-024-00067-x X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 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 1 2024 1 29 08 |
spelling |
10.1007/s44290-024-00067-x doi (DE-627)SPR057150281 (SPR)s44290-024-00067-x-e DE-627 ger DE-627 rakwb eng Hamdouni, Samir verfasserin aut Optimizing self-compacting concrete: formulation approach enhanced by entropy method 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivotal role in determining the ideal combination of components. It explores objective weighting techniques and their application in enhancing SCC performance by assigning weights to individual elements. Additionally, the effectiveness of additives such as superplasticizer, limestone filler, silica fume, and viscosity modifiers in enhancing SCC properties is assessed. Utilizing the Taguchi-TOPSIS method, the study proposes a systematic approach to tailor SCC formulations to specific criteria. The key findings demonstrate that the integration of the entropy method significantly enhances the optimization process, leading to improved flowability and stability of SCC. These insights provide a comprehensive framework for optimizing SCC, offering practical guidelines for the construction industry to achieve superior concrete performance. Self-compacting concrete (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Weighting methods (dpeaa)DE-He213 Tagushi-TOPSIS (dpeaa)DE-He213 Entropy method (dpeaa)DE-He213 Benaicha, Mouhcine verfasserin aut Hafidi Alaoui, Adil verfasserin aut Enthalten in Discover civil engineering Springer International Publishing, 2024 1(2024), 1 vom: 29. Aug. Online-Ressource (DE-627)1889541451 (DE-600)3187755-2 2948-1546 nnns volume:1 year:2024 number:1 day:29 month:08 https://dx.doi.org/10.1007/s44290-024-00067-x X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 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 1 2024 1 29 08 |
allfields_unstemmed |
10.1007/s44290-024-00067-x doi (DE-627)SPR057150281 (SPR)s44290-024-00067-x-e DE-627 ger DE-627 rakwb eng Hamdouni, Samir verfasserin aut Optimizing self-compacting concrete: formulation approach enhanced by entropy method 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivotal role in determining the ideal combination of components. It explores objective weighting techniques and their application in enhancing SCC performance by assigning weights to individual elements. Additionally, the effectiveness of additives such as superplasticizer, limestone filler, silica fume, and viscosity modifiers in enhancing SCC properties is assessed. Utilizing the Taguchi-TOPSIS method, the study proposes a systematic approach to tailor SCC formulations to specific criteria. The key findings demonstrate that the integration of the entropy method significantly enhances the optimization process, leading to improved flowability and stability of SCC. These insights provide a comprehensive framework for optimizing SCC, offering practical guidelines for the construction industry to achieve superior concrete performance. Self-compacting concrete (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Weighting methods (dpeaa)DE-He213 Tagushi-TOPSIS (dpeaa)DE-He213 Entropy method (dpeaa)DE-He213 Benaicha, Mouhcine verfasserin aut Hafidi Alaoui, Adil verfasserin aut Enthalten in Discover civil engineering Springer International Publishing, 2024 1(2024), 1 vom: 29. Aug. Online-Ressource (DE-627)1889541451 (DE-600)3187755-2 2948-1546 nnns volume:1 year:2024 number:1 day:29 month:08 https://dx.doi.org/10.1007/s44290-024-00067-x X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 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 1 2024 1 29 08 |
allfieldsGer |
10.1007/s44290-024-00067-x doi (DE-627)SPR057150281 (SPR)s44290-024-00067-x-e DE-627 ger DE-627 rakwb eng Hamdouni, Samir verfasserin aut Optimizing self-compacting concrete: formulation approach enhanced by entropy method 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivotal role in determining the ideal combination of components. It explores objective weighting techniques and their application in enhancing SCC performance by assigning weights to individual elements. Additionally, the effectiveness of additives such as superplasticizer, limestone filler, silica fume, and viscosity modifiers in enhancing SCC properties is assessed. Utilizing the Taguchi-TOPSIS method, the study proposes a systematic approach to tailor SCC formulations to specific criteria. The key findings demonstrate that the integration of the entropy method significantly enhances the optimization process, leading to improved flowability and stability of SCC. These insights provide a comprehensive framework for optimizing SCC, offering practical guidelines for the construction industry to achieve superior concrete performance. Self-compacting concrete (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Weighting methods (dpeaa)DE-He213 Tagushi-TOPSIS (dpeaa)DE-He213 Entropy method (dpeaa)DE-He213 Benaicha, Mouhcine verfasserin aut Hafidi Alaoui, Adil verfasserin aut Enthalten in Discover civil engineering Springer International Publishing, 2024 1(2024), 1 vom: 29. Aug. Online-Ressource (DE-627)1889541451 (DE-600)3187755-2 2948-1546 nnns volume:1 year:2024 number:1 day:29 month:08 https://dx.doi.org/10.1007/s44290-024-00067-x X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 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 1 2024 1 29 08 |
allfieldsSound |
10.1007/s44290-024-00067-x doi (DE-627)SPR057150281 (SPR)s44290-024-00067-x-e DE-627 ger DE-627 rakwb eng Hamdouni, Samir verfasserin aut Optimizing self-compacting concrete: formulation approach enhanced by entropy method 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivotal role in determining the ideal combination of components. It explores objective weighting techniques and their application in enhancing SCC performance by assigning weights to individual elements. Additionally, the effectiveness of additives such as superplasticizer, limestone filler, silica fume, and viscosity modifiers in enhancing SCC properties is assessed. Utilizing the Taguchi-TOPSIS method, the study proposes a systematic approach to tailor SCC formulations to specific criteria. The key findings demonstrate that the integration of the entropy method significantly enhances the optimization process, leading to improved flowability and stability of SCC. These insights provide a comprehensive framework for optimizing SCC, offering practical guidelines for the construction industry to achieve superior concrete performance. Self-compacting concrete (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Weighting methods (dpeaa)DE-He213 Tagushi-TOPSIS (dpeaa)DE-He213 Entropy method (dpeaa)DE-He213 Benaicha, Mouhcine verfasserin aut Hafidi Alaoui, Adil verfasserin aut Enthalten in Discover civil engineering Springer International Publishing, 2024 1(2024), 1 vom: 29. Aug. Online-Ressource (DE-627)1889541451 (DE-600)3187755-2 2948-1546 nnns volume:1 year:2024 number:1 day:29 month:08 https://dx.doi.org/10.1007/s44290-024-00067-x X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 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 1 2024 1 29 08 |
language |
English |
source |
Enthalten in Discover civil engineering 1(2024), 1 vom: 29. Aug. volume:1 year:2024 number:1 day:29 month:08 |
sourceStr |
Enthalten in Discover civil engineering 1(2024), 1 vom: 29. Aug. volume:1 year:2024 number:1 day:29 month:08 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Self-compacting concrete Optimization Weighting methods Tagushi-TOPSIS Entropy method |
isfreeaccess_bool |
true |
container_title |
Discover civil engineering |
authorswithroles_txt_mv |
Hamdouni, Samir @@aut@@ Benaicha, Mouhcine @@aut@@ Hafidi Alaoui, Adil @@aut@@ |
publishDateDaySort_date |
2024-08-29T00:00:00Z |
hierarchy_top_id |
1889541451 |
id |
SPR057150281 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR057150281</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240830064811.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240830s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s44290-024-00067-x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR057150281</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s44290-024-00067-x-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hamdouni, Samir</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Optimizing self-compacting concrete: formulation approach enhanced by entropy method</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2024</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivotal role in determining the ideal combination of components. It explores objective weighting techniques and their application in enhancing SCC performance by assigning weights to individual elements. Additionally, the effectiveness of additives such as superplasticizer, limestone filler, silica fume, and viscosity modifiers in enhancing SCC properties is assessed. Utilizing the Taguchi-TOPSIS method, the study proposes a systematic approach to tailor SCC formulations to specific criteria. The key findings demonstrate that the integration of the entropy method significantly enhances the optimization process, leading to improved flowability and stability of SCC. These insights provide a comprehensive framework for optimizing SCC, offering practical guidelines for the construction industry to achieve superior concrete performance.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Self-compacting concrete</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optimization</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Weighting methods</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Tagushi-TOPSIS</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Entropy method</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Benaicha, Mouhcine</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hafidi Alaoui, Adil</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Discover civil engineering</subfield><subfield code="d">Springer International Publishing, 2024</subfield><subfield code="g">1(2024), 1 vom: 29. Aug.</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)1889541451</subfield><subfield code="w">(DE-600)3187755-2</subfield><subfield code="x">2948-1546</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:1</subfield><subfield code="g">year:2024</subfield><subfield code="g">number:1</subfield><subfield code="g">day:29</subfield><subfield code="g">month:08</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s44290-024-00067-x</subfield><subfield code="m">X:SPRINGER</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_0</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4392</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">1</subfield><subfield code="j">2024</subfield><subfield code="e">1</subfield><subfield code="b">29</subfield><subfield code="c">08</subfield></datafield></record></collection>
|
author |
Hamdouni, Samir |
spellingShingle |
Hamdouni, Samir misc Self-compacting concrete misc Optimization misc Weighting methods misc Tagushi-TOPSIS misc Entropy method Optimizing self-compacting concrete: formulation approach enhanced by entropy method |
authorStr |
Hamdouni, Samir |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)1889541451 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut |
collection |
springer |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
2948-1546 |
topic_title |
Optimizing self-compacting concrete: formulation approach enhanced by entropy method Self-compacting concrete (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Weighting methods (dpeaa)DE-He213 Tagushi-TOPSIS (dpeaa)DE-He213 Entropy method (dpeaa)DE-He213 |
topic |
misc Self-compacting concrete misc Optimization misc Weighting methods misc Tagushi-TOPSIS misc Entropy method |
topic_unstemmed |
misc Self-compacting concrete misc Optimization misc Weighting methods misc Tagushi-TOPSIS misc Entropy method |
topic_browse |
misc Self-compacting concrete misc Optimization misc Weighting methods misc Tagushi-TOPSIS misc Entropy method |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Discover civil engineering |
hierarchy_parent_id |
1889541451 |
hierarchy_top_title |
Discover civil engineering |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)1889541451 (DE-600)3187755-2 |
title |
Optimizing self-compacting concrete: formulation approach enhanced by entropy method |
ctrlnum |
(DE-627)SPR057150281 (SPR)s44290-024-00067-x-e |
title_full |
Optimizing self-compacting concrete: formulation approach enhanced by entropy method |
author_sort |
Hamdouni, Samir |
journal |
Discover civil engineering |
journalStr |
Discover civil engineering |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2024 |
contenttype_str_mv |
txt |
author_browse |
Hamdouni, Samir Benaicha, Mouhcine Hafidi Alaoui, Adil |
container_volume |
1 |
format_se |
Elektronische Aufsätze |
author-letter |
Hamdouni, Samir |
doi_str_mv |
10.1007/s44290-024-00067-x |
author2-role |
verfasserin |
title_sort |
optimizing self-compacting concrete: formulation approach enhanced by entropy method |
title_auth |
Optimizing self-compacting concrete: formulation approach enhanced by entropy method |
abstract |
Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivotal role in determining the ideal combination of components. It explores objective weighting techniques and their application in enhancing SCC performance by assigning weights to individual elements. Additionally, the effectiveness of additives such as superplasticizer, limestone filler, silica fume, and viscosity modifiers in enhancing SCC properties is assessed. Utilizing the Taguchi-TOPSIS method, the study proposes a systematic approach to tailor SCC formulations to specific criteria. The key findings demonstrate that the integration of the entropy method significantly enhances the optimization process, leading to improved flowability and stability of SCC. These insights provide a comprehensive framework for optimizing SCC, offering practical guidelines for the construction industry to achieve superior concrete performance. © The Author(s) 2024 |
abstractGer |
Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivotal role in determining the ideal combination of components. It explores objective weighting techniques and their application in enhancing SCC performance by assigning weights to individual elements. Additionally, the effectiveness of additives such as superplasticizer, limestone filler, silica fume, and viscosity modifiers in enhancing SCC properties is assessed. Utilizing the Taguchi-TOPSIS method, the study proposes a systematic approach to tailor SCC formulations to specific criteria. The key findings demonstrate that the integration of the entropy method significantly enhances the optimization process, leading to improved flowability and stability of SCC. These insights provide a comprehensive framework for optimizing SCC, offering practical guidelines for the construction industry to achieve superior concrete performance. © The Author(s) 2024 |
abstract_unstemmed |
Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivotal role in determining the ideal combination of components. It explores objective weighting techniques and their application in enhancing SCC performance by assigning weights to individual elements. Additionally, the effectiveness of additives such as superplasticizer, limestone filler, silica fume, and viscosity modifiers in enhancing SCC properties is assessed. Utilizing the Taguchi-TOPSIS method, the study proposes a systematic approach to tailor SCC formulations to specific criteria. The key findings demonstrate that the integration of the entropy method significantly enhances the optimization process, leading to improved flowability and stability of SCC. These insights provide a comprehensive framework for optimizing SCC, offering practical guidelines for the construction industry to achieve superior concrete performance. © The Author(s) 2024 |
collection_details |
SYSFLAG_0 GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 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 |
container_issue |
1 |
title_short |
Optimizing self-compacting concrete: formulation approach enhanced by entropy method |
url |
https://dx.doi.org/10.1007/s44290-024-00067-x |
remote_bool |
true |
author2 |
Benaicha, Mouhcine Hafidi Alaoui, Adil |
author2Str |
Benaicha, Mouhcine Hafidi Alaoui, Adil |
ppnlink |
1889541451 |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.1007/s44290-024-00067-x |
up_date |
2024-08-30T04:50:12.002Z |
_version_ |
1808786691985506304 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR057150281</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240830064811.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240830s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s44290-024-00067-x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR057150281</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s44290-024-00067-x-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hamdouni, Samir</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Optimizing self-compacting concrete: formulation approach enhanced by entropy method</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2024</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This study investigates the optimization of self-compacting concrete (SCC), which is crucial for modern construction due to its ability to create durable and high-performance structures. The research delves into various weighting methods utilized in SCC formulation, underscoring their pivotal role in determining the ideal combination of components. It explores objective weighting techniques and their application in enhancing SCC performance by assigning weights to individual elements. Additionally, the effectiveness of additives such as superplasticizer, limestone filler, silica fume, and viscosity modifiers in enhancing SCC properties is assessed. Utilizing the Taguchi-TOPSIS method, the study proposes a systematic approach to tailor SCC formulations to specific criteria. The key findings demonstrate that the integration of the entropy method significantly enhances the optimization process, leading to improved flowability and stability of SCC. These insights provide a comprehensive framework for optimizing SCC, offering practical guidelines for the construction industry to achieve superior concrete performance.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Self-compacting concrete</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optimization</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Weighting methods</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Tagushi-TOPSIS</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Entropy method</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Benaicha, Mouhcine</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hafidi Alaoui, Adil</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Discover civil engineering</subfield><subfield code="d">Springer International Publishing, 2024</subfield><subfield code="g">1(2024), 1 vom: 29. Aug.</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)1889541451</subfield><subfield code="w">(DE-600)3187755-2</subfield><subfield code="x">2948-1546</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:1</subfield><subfield code="g">year:2024</subfield><subfield code="g">number:1</subfield><subfield code="g">day:29</subfield><subfield code="g">month:08</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s44290-024-00067-x</subfield><subfield code="m">X:SPRINGER</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_0</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4392</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">1</subfield><subfield code="j">2024</subfield><subfield code="e">1</subfield><subfield code="b">29</subfield><subfield code="c">08</subfield></datafield></record></collection>
|
score |
7.401272 |