Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations
Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Junsen Xiao [verfasserIn] Kenta Tozato [verfasserIn] Shuji Moriguchi [verfasserIn] Yu Otake [verfasserIn] Kenjiro Terada [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2023 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
In: Soils and Foundations - Elsevier, 2021, 63(2023), 6, Seite 101378- |
|---|---|
| Übergeordnetes Werk: |
volume:63 ; year:2023 ; number:6 ; pages:101378- |
| Links: |
|---|
| DOI / URN: |
10.1016/j.sandf.2023.101378 |
|---|
| Katalog-ID: |
DOAJ098767925 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | DOAJ098767925 | ||
| 003 | DE-627 | ||
| 005 | 20240414160746.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240414s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.sandf.2023.101378 |2 doi | |
| 035 | |a (DE-627)DOAJ098767925 | ||
| 035 | |a (DE-599)DOAJ154541849b3f46b99d8bc1dffa070ef6 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 050 | 0 | |a TA703-712 | |
| 100 | 0 | |a Junsen Xiao |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are being studied. In this study, different combinations of four input parameters (spring coefficient, friction angle between elements, coefficient of restitution, and bottom friction) were first obtained with the help of the Latin hypercube sampling method. Then, a series of simulations were performed using DEM with different sets of input parameters in consideration of different particle shapes and contact models. Radial basis function (RBF) interpolation was then employed to construct a response surface of run-out distance. Monte Carlo simulations were also conducted to obtain the contribution ratio of each input parameter. The result revealed that the bottom friction has a significant influence on the run-out distance, while friction angle between elements and spring coefficient account for a small proportion in the contribution ratio. Moreover, it was confirmed that the coefficient of restitution has a considerable contribution ratio in the front part of elements. The results also revealed that the influence of the particle shape and contact model on the contribution ratio was not as important in comparison. | ||
| 650 | 4 | |a Granular flow | |
| 650 | 4 | |a DEM | |
| 650 | 4 | |a Response surface | |
| 650 | 4 | |a Monte Carlo simulation | |
| 650 | 4 | |a Contribution ratio | |
| 653 | 0 | |a Engineering geology. Rock mechanics. Soil mechanics. Underground construction | |
| 700 | 0 | |a Kenta Tozato |e verfasserin |4 aut | |
| 700 | 0 | |a Shuji Moriguchi |e verfasserin |4 aut | |
| 700 | 0 | |a Yu Otake |e verfasserin |4 aut | |
| 700 | 0 | |a Kenjiro Terada |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i In |t Soils and Foundations |d Elsevier, 2021 |g 63(2023), 6, Seite 101378- |w (DE-627)1760624497 |x 25241788 |7 nnns |
| 773 | 1 | 8 | |g volume:63 |g year:2023 |g number:6 |g pages:101378- |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.sandf.2023.101378 |z kostenfrei |
| 856 | 4 | 0 | |u https://doaj.org/article/154541849b3f46b99d8bc1dffa070ef6 |z kostenfrei |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/article/pii/S0038080623001075 |z kostenfrei |
| 856 | 4 | 2 | |u https://doaj.org/toc/2524-1788 |y Journal toc |z kostenfrei |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_DOAJ | ||
| 951 | |a AR | ||
| 952 | |d 63 |j 2023 |e 6 |h 101378- | ||
| author_variant |
j x jx k t kt s m sm y o yo k t kt |
|---|---|
| matchkey_str |
article:25241788:2023----::uniiainfhcnrbtortofeeatnuprmtrodma |
| hierarchy_sort_str |
2023 |
| callnumber-subject-code |
TA |
| publishDate |
2023 |
| allfields |
10.1016/j.sandf.2023.101378 doi (DE-627)DOAJ098767925 (DE-599)DOAJ154541849b3f46b99d8bc1dffa070ef6 DE-627 ger DE-627 rakwb eng TA703-712 Junsen Xiao verfasserin aut Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are being studied. In this study, different combinations of four input parameters (spring coefficient, friction angle between elements, coefficient of restitution, and bottom friction) were first obtained with the help of the Latin hypercube sampling method. Then, a series of simulations were performed using DEM with different sets of input parameters in consideration of different particle shapes and contact models. Radial basis function (RBF) interpolation was then employed to construct a response surface of run-out distance. Monte Carlo simulations were also conducted to obtain the contribution ratio of each input parameter. The result revealed that the bottom friction has a significant influence on the run-out distance, while friction angle between elements and spring coefficient account for a small proportion in the contribution ratio. Moreover, it was confirmed that the coefficient of restitution has a considerable contribution ratio in the front part of elements. The results also revealed that the influence of the particle shape and contact model on the contribution ratio was not as important in comparison. Granular flow DEM Response surface Monte Carlo simulation Contribution ratio Engineering geology. Rock mechanics. Soil mechanics. Underground construction Kenta Tozato verfasserin aut Shuji Moriguchi verfasserin aut Yu Otake verfasserin aut Kenjiro Terada verfasserin aut In Soils and Foundations Elsevier, 2021 63(2023), 6, Seite 101378- (DE-627)1760624497 25241788 nnns volume:63 year:2023 number:6 pages:101378- https://doi.org/10.1016/j.sandf.2023.101378 kostenfrei https://doaj.org/article/154541849b3f46b99d8bc1dffa070ef6 kostenfrei http://www.sciencedirect.com/science/article/pii/S0038080623001075 kostenfrei https://doaj.org/toc/2524-1788 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 63 2023 6 101378- |
| spelling |
10.1016/j.sandf.2023.101378 doi (DE-627)DOAJ098767925 (DE-599)DOAJ154541849b3f46b99d8bc1dffa070ef6 DE-627 ger DE-627 rakwb eng TA703-712 Junsen Xiao verfasserin aut Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are being studied. In this study, different combinations of four input parameters (spring coefficient, friction angle between elements, coefficient of restitution, and bottom friction) were first obtained with the help of the Latin hypercube sampling method. Then, a series of simulations were performed using DEM with different sets of input parameters in consideration of different particle shapes and contact models. Radial basis function (RBF) interpolation was then employed to construct a response surface of run-out distance. Monte Carlo simulations were also conducted to obtain the contribution ratio of each input parameter. The result revealed that the bottom friction has a significant influence on the run-out distance, while friction angle between elements and spring coefficient account for a small proportion in the contribution ratio. Moreover, it was confirmed that the coefficient of restitution has a considerable contribution ratio in the front part of elements. The results also revealed that the influence of the particle shape and contact model on the contribution ratio was not as important in comparison. Granular flow DEM Response surface Monte Carlo simulation Contribution ratio Engineering geology. Rock mechanics. Soil mechanics. Underground construction Kenta Tozato verfasserin aut Shuji Moriguchi verfasserin aut Yu Otake verfasserin aut Kenjiro Terada verfasserin aut In Soils and Foundations Elsevier, 2021 63(2023), 6, Seite 101378- (DE-627)1760624497 25241788 nnns volume:63 year:2023 number:6 pages:101378- https://doi.org/10.1016/j.sandf.2023.101378 kostenfrei https://doaj.org/article/154541849b3f46b99d8bc1dffa070ef6 kostenfrei http://www.sciencedirect.com/science/article/pii/S0038080623001075 kostenfrei https://doaj.org/toc/2524-1788 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 63 2023 6 101378- |
| allfields_unstemmed |
10.1016/j.sandf.2023.101378 doi (DE-627)DOAJ098767925 (DE-599)DOAJ154541849b3f46b99d8bc1dffa070ef6 DE-627 ger DE-627 rakwb eng TA703-712 Junsen Xiao verfasserin aut Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are being studied. In this study, different combinations of four input parameters (spring coefficient, friction angle between elements, coefficient of restitution, and bottom friction) were first obtained with the help of the Latin hypercube sampling method. Then, a series of simulations were performed using DEM with different sets of input parameters in consideration of different particle shapes and contact models. Radial basis function (RBF) interpolation was then employed to construct a response surface of run-out distance. Monte Carlo simulations were also conducted to obtain the contribution ratio of each input parameter. The result revealed that the bottom friction has a significant influence on the run-out distance, while friction angle between elements and spring coefficient account for a small proportion in the contribution ratio. Moreover, it was confirmed that the coefficient of restitution has a considerable contribution ratio in the front part of elements. The results also revealed that the influence of the particle shape and contact model on the contribution ratio was not as important in comparison. Granular flow DEM Response surface Monte Carlo simulation Contribution ratio Engineering geology. Rock mechanics. Soil mechanics. Underground construction Kenta Tozato verfasserin aut Shuji Moriguchi verfasserin aut Yu Otake verfasserin aut Kenjiro Terada verfasserin aut In Soils and Foundations Elsevier, 2021 63(2023), 6, Seite 101378- (DE-627)1760624497 25241788 nnns volume:63 year:2023 number:6 pages:101378- https://doi.org/10.1016/j.sandf.2023.101378 kostenfrei https://doaj.org/article/154541849b3f46b99d8bc1dffa070ef6 kostenfrei http://www.sciencedirect.com/science/article/pii/S0038080623001075 kostenfrei https://doaj.org/toc/2524-1788 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 63 2023 6 101378- |
| allfieldsGer |
10.1016/j.sandf.2023.101378 doi (DE-627)DOAJ098767925 (DE-599)DOAJ154541849b3f46b99d8bc1dffa070ef6 DE-627 ger DE-627 rakwb eng TA703-712 Junsen Xiao verfasserin aut Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are being studied. In this study, different combinations of four input parameters (spring coefficient, friction angle between elements, coefficient of restitution, and bottom friction) were first obtained with the help of the Latin hypercube sampling method. Then, a series of simulations were performed using DEM with different sets of input parameters in consideration of different particle shapes and contact models. Radial basis function (RBF) interpolation was then employed to construct a response surface of run-out distance. Monte Carlo simulations were also conducted to obtain the contribution ratio of each input parameter. The result revealed that the bottom friction has a significant influence on the run-out distance, while friction angle between elements and spring coefficient account for a small proportion in the contribution ratio. Moreover, it was confirmed that the coefficient of restitution has a considerable contribution ratio in the front part of elements. The results also revealed that the influence of the particle shape and contact model on the contribution ratio was not as important in comparison. Granular flow DEM Response surface Monte Carlo simulation Contribution ratio Engineering geology. Rock mechanics. Soil mechanics. Underground construction Kenta Tozato verfasserin aut Shuji Moriguchi verfasserin aut Yu Otake verfasserin aut Kenjiro Terada verfasserin aut In Soils and Foundations Elsevier, 2021 63(2023), 6, Seite 101378- (DE-627)1760624497 25241788 nnns volume:63 year:2023 number:6 pages:101378- https://doi.org/10.1016/j.sandf.2023.101378 kostenfrei https://doaj.org/article/154541849b3f46b99d8bc1dffa070ef6 kostenfrei http://www.sciencedirect.com/science/article/pii/S0038080623001075 kostenfrei https://doaj.org/toc/2524-1788 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 63 2023 6 101378- |
| allfieldsSound |
10.1016/j.sandf.2023.101378 doi (DE-627)DOAJ098767925 (DE-599)DOAJ154541849b3f46b99d8bc1dffa070ef6 DE-627 ger DE-627 rakwb eng TA703-712 Junsen Xiao verfasserin aut Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are being studied. In this study, different combinations of four input parameters (spring coefficient, friction angle between elements, coefficient of restitution, and bottom friction) were first obtained with the help of the Latin hypercube sampling method. Then, a series of simulations were performed using DEM with different sets of input parameters in consideration of different particle shapes and contact models. Radial basis function (RBF) interpolation was then employed to construct a response surface of run-out distance. Monte Carlo simulations were also conducted to obtain the contribution ratio of each input parameter. The result revealed that the bottom friction has a significant influence on the run-out distance, while friction angle between elements and spring coefficient account for a small proportion in the contribution ratio. Moreover, it was confirmed that the coefficient of restitution has a considerable contribution ratio in the front part of elements. The results also revealed that the influence of the particle shape and contact model on the contribution ratio was not as important in comparison. Granular flow DEM Response surface Monte Carlo simulation Contribution ratio Engineering geology. Rock mechanics. Soil mechanics. Underground construction Kenta Tozato verfasserin aut Shuji Moriguchi verfasserin aut Yu Otake verfasserin aut Kenjiro Terada verfasserin aut In Soils and Foundations Elsevier, 2021 63(2023), 6, Seite 101378- (DE-627)1760624497 25241788 nnns volume:63 year:2023 number:6 pages:101378- https://doi.org/10.1016/j.sandf.2023.101378 kostenfrei https://doaj.org/article/154541849b3f46b99d8bc1dffa070ef6 kostenfrei http://www.sciencedirect.com/science/article/pii/S0038080623001075 kostenfrei https://doaj.org/toc/2524-1788 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 63 2023 6 101378- |
| language |
English |
| source |
In Soils and Foundations 63(2023), 6, Seite 101378- volume:63 year:2023 number:6 pages:101378- |
| sourceStr |
In Soils and Foundations 63(2023), 6, Seite 101378- volume:63 year:2023 number:6 pages:101378- |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Granular flow DEM Response surface Monte Carlo simulation Contribution ratio Engineering geology. Rock mechanics. Soil mechanics. Underground construction |
| isfreeaccess_bool |
true |
| container_title |
Soils and Foundations |
| authorswithroles_txt_mv |
Junsen Xiao @@aut@@ Kenta Tozato @@aut@@ Shuji Moriguchi @@aut@@ Yu Otake @@aut@@ Kenjiro Terada @@aut@@ |
| publishDateDaySort_date |
2023-01-01T00:00:00Z |
| hierarchy_top_id |
1760624497 |
| id |
DOAJ098767925 |
| 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">DOAJ098767925</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414160746.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240414s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.sandf.2023.101378</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ098767925</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ154541849b3f46b99d8bc1dffa070ef6</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="050" ind1=" " ind2="0"><subfield code="a">TA703-712</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Junsen Xiao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</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="520" ind1=" " ind2=" "><subfield code="a">Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are being studied. In this study, different combinations of four input parameters (spring coefficient, friction angle between elements, coefficient of restitution, and bottom friction) were first obtained with the help of the Latin hypercube sampling method. Then, a series of simulations were performed using DEM with different sets of input parameters in consideration of different particle shapes and contact models. Radial basis function (RBF) interpolation was then employed to construct a response surface of run-out distance. Monte Carlo simulations were also conducted to obtain the contribution ratio of each input parameter. The result revealed that the bottom friction has a significant influence on the run-out distance, while friction angle between elements and spring coefficient account for a small proportion in the contribution ratio. Moreover, it was confirmed that the coefficient of restitution has a considerable contribution ratio in the front part of elements. The results also revealed that the influence of the particle shape and contact model on the contribution ratio was not as important in comparison.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Granular flow</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">DEM</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Response surface</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Monte Carlo simulation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Contribution ratio</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Engineering geology. Rock mechanics. Soil mechanics. Underground construction</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Kenta Tozato</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Shuji Moriguchi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yu Otake</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Kenjiro Terada</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Soils and Foundations</subfield><subfield code="d">Elsevier, 2021</subfield><subfield code="g">63(2023), 6, Seite 101378-</subfield><subfield code="w">(DE-627)1760624497</subfield><subfield code="x">25241788</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:63</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:6</subfield><subfield code="g">pages:101378-</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.sandf.2023.101378</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/154541849b3f46b99d8bc1dffa070ef6</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S0038080623001075</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2524-1788</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">63</subfield><subfield code="j">2023</subfield><subfield code="e">6</subfield><subfield code="h">101378-</subfield></datafield></record></collection>
|
| callnumber-first |
T - Technology |
| author |
Junsen Xiao |
| spellingShingle |
Junsen Xiao misc TA703-712 misc Granular flow misc DEM misc Response surface misc Monte Carlo simulation misc Contribution ratio misc Engineering geology. Rock mechanics. Soil mechanics. Underground construction Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations |
| authorStr |
Junsen Xiao |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)1760624497 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut aut aut aut aut |
| collection |
DOAJ |
| remote_str |
true |
| callnumber-label |
TA703-712 |
| illustrated |
Not Illustrated |
| issn |
25241788 |
| topic_title |
TA703-712 Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations Granular flow DEM Response surface Monte Carlo simulation Contribution ratio |
| topic |
misc TA703-712 misc Granular flow misc DEM misc Response surface misc Monte Carlo simulation misc Contribution ratio misc Engineering geology. Rock mechanics. Soil mechanics. Underground construction |
| topic_unstemmed |
misc TA703-712 misc Granular flow misc DEM misc Response surface misc Monte Carlo simulation misc Contribution ratio misc Engineering geology. Rock mechanics. Soil mechanics. Underground construction |
| topic_browse |
misc TA703-712 misc Granular flow misc DEM misc Response surface misc Monte Carlo simulation misc Contribution ratio misc Engineering geology. Rock mechanics. Soil mechanics. Underground construction |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
Soils and Foundations |
| hierarchy_parent_id |
1760624497 |
| hierarchy_top_title |
Soils and Foundations |
| isfreeaccess_txt |
true |
| familylinks_str_mv |
(DE-627)1760624497 |
| title |
Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations |
| ctrlnum |
(DE-627)DOAJ098767925 (DE-599)DOAJ154541849b3f46b99d8bc1dffa070ef6 |
| title_full |
Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations |
| author_sort |
Junsen Xiao |
| journal |
Soils and Foundations |
| journalStr |
Soils and Foundations |
| callnumber-first-code |
T |
| lang_code |
eng |
| isOA_bool |
true |
| recordtype |
marc |
| publishDateSort |
2023 |
| contenttype_str_mv |
txt |
| container_start_page |
101378 |
| author_browse |
Junsen Xiao Kenta Tozato Shuji Moriguchi Yu Otake Kenjiro Terada |
| container_volume |
63 |
| class |
TA703-712 |
| format_se |
Elektronische Aufsätze |
| author-letter |
Junsen Xiao |
| doi_str_mv |
10.1016/j.sandf.2023.101378 |
| author2-role |
verfasserin |
| title_sort |
quantification of the contribution ratio of relevant input parameters on dem-based granular flow simulations |
| callnumber |
TA703-712 |
| title_auth |
Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations |
| abstract |
Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are being studied. In this study, different combinations of four input parameters (spring coefficient, friction angle between elements, coefficient of restitution, and bottom friction) were first obtained with the help of the Latin hypercube sampling method. Then, a series of simulations were performed using DEM with different sets of input parameters in consideration of different particle shapes and contact models. Radial basis function (RBF) interpolation was then employed to construct a response surface of run-out distance. Monte Carlo simulations were also conducted to obtain the contribution ratio of each input parameter. The result revealed that the bottom friction has a significant influence on the run-out distance, while friction angle between elements and spring coefficient account for a small proportion in the contribution ratio. Moreover, it was confirmed that the coefficient of restitution has a considerable contribution ratio in the front part of elements. The results also revealed that the influence of the particle shape and contact model on the contribution ratio was not as important in comparison. |
| abstractGer |
Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are being studied. In this study, different combinations of four input parameters (spring coefficient, friction angle between elements, coefficient of restitution, and bottom friction) were first obtained with the help of the Latin hypercube sampling method. Then, a series of simulations were performed using DEM with different sets of input parameters in consideration of different particle shapes and contact models. Radial basis function (RBF) interpolation was then employed to construct a response surface of run-out distance. Monte Carlo simulations were also conducted to obtain the contribution ratio of each input parameter. The result revealed that the bottom friction has a significant influence on the run-out distance, while friction angle between elements and spring coefficient account for a small proportion in the contribution ratio. Moreover, it was confirmed that the coefficient of restitution has a considerable contribution ratio in the front part of elements. The results also revealed that the influence of the particle shape and contact model on the contribution ratio was not as important in comparison. |
| abstract_unstemmed |
Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are being studied. In this study, different combinations of four input parameters (spring coefficient, friction angle between elements, coefficient of restitution, and bottom friction) were first obtained with the help of the Latin hypercube sampling method. Then, a series of simulations were performed using DEM with different sets of input parameters in consideration of different particle shapes and contact models. Radial basis function (RBF) interpolation was then employed to construct a response surface of run-out distance. Monte Carlo simulations were also conducted to obtain the contribution ratio of each input parameter. The result revealed that the bottom friction has a significant influence on the run-out distance, while friction angle between elements and spring coefficient account for a small proportion in the contribution ratio. Moreover, it was confirmed that the coefficient of restitution has a considerable contribution ratio in the front part of elements. The results also revealed that the influence of the particle shape and contact model on the contribution ratio was not as important in comparison. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ |
| container_issue |
6 |
| title_short |
Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations |
| url |
https://doi.org/10.1016/j.sandf.2023.101378 https://doaj.org/article/154541849b3f46b99d8bc1dffa070ef6 http://www.sciencedirect.com/science/article/pii/S0038080623001075 https://doaj.org/toc/2524-1788 |
| remote_bool |
true |
| author2 |
Kenta Tozato Shuji Moriguchi Yu Otake Kenjiro Terada |
| author2Str |
Kenta Tozato Shuji Moriguchi Yu Otake Kenjiro Terada |
| ppnlink |
1760624497 |
| callnumber-subject |
TA - General and Civil Engineering |
| mediatype_str_mv |
c |
| isOA_txt |
true |
| hochschulschrift_bool |
false |
| doi_str |
10.1016/j.sandf.2023.101378 |
| callnumber-a |
TA703-712 |
| up_date |
2024-07-03T19:05:57.899Z |
| _version_ |
1803585908008550400 |
| 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">DOAJ098767925</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414160746.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240414s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.sandf.2023.101378</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ098767925</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ154541849b3f46b99d8bc1dffa070ef6</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="050" ind1=" " ind2="0"><subfield code="a">TA703-712</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Junsen Xiao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Quantification of the contribution ratio of relevant input parameters on DEM-based granular flow simulations</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</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="520" ind1=" " ind2=" "><subfield code="a">Granular flow is affected by multiple parameters, which makes its study challenging. The discrete element method (DEM) is widely employed to simulate granular flow in consideration of particle motion, particularly when the effects of related parameters and particle shape on flow characteristics are being studied. In this study, different combinations of four input parameters (spring coefficient, friction angle between elements, coefficient of restitution, and bottom friction) were first obtained with the help of the Latin hypercube sampling method. Then, a series of simulations were performed using DEM with different sets of input parameters in consideration of different particle shapes and contact models. Radial basis function (RBF) interpolation was then employed to construct a response surface of run-out distance. Monte Carlo simulations were also conducted to obtain the contribution ratio of each input parameter. The result revealed that the bottom friction has a significant influence on the run-out distance, while friction angle between elements and spring coefficient account for a small proportion in the contribution ratio. Moreover, it was confirmed that the coefficient of restitution has a considerable contribution ratio in the front part of elements. The results also revealed that the influence of the particle shape and contact model on the contribution ratio was not as important in comparison.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Granular flow</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">DEM</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Response surface</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Monte Carlo simulation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Contribution ratio</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Engineering geology. Rock mechanics. Soil mechanics. Underground construction</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Kenta Tozato</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Shuji Moriguchi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yu Otake</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Kenjiro Terada</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Soils and Foundations</subfield><subfield code="d">Elsevier, 2021</subfield><subfield code="g">63(2023), 6, Seite 101378-</subfield><subfield code="w">(DE-627)1760624497</subfield><subfield code="x">25241788</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:63</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:6</subfield><subfield code="g">pages:101378-</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.sandf.2023.101378</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/154541849b3f46b99d8bc1dffa070ef6</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S0038080623001075</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2524-1788</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">63</subfield><subfield code="j">2023</subfield><subfield code="e">6</subfield><subfield code="h">101378-</subfield></datafield></record></collection>
|
| score |
7.3994217 |