A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles
The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomp...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
El Moumen, A. [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
8 |
|---|
| Übergeordnetes Werk: |
Enthalten in: O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome - Barisic, N ELSEVIER, 2013, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:66 ; year:2014 ; pages:247-254 ; extent:8 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.compositesb.2014.05.008 |
|---|
| Katalog-ID: |
ELV023004053 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV023004053 | ||
| 003 | DE-627 | ||
| 005 | 20230625140521.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180603s2014 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.compositesb.2014.05.008 |2 doi | |
| 028 | 5 | 2 | |a GBVA2014019000012.pica |
| 035 | |a (DE-627)ELV023004053 | ||
| 035 | |a (ELSEVIER)S1359-8368(14)00206-6 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 660 | |
| 082 | 0 | 4 | |a 660 |q DE-600 |
| 082 | 0 | 4 | |a 610 |q VZ |
| 082 | 0 | 4 | |a 580 |a 540 |q VZ |
| 084 | |a BIODIV |q DE-30 |2 fid | ||
| 084 | |a 42.00 |2 bkl | ||
| 100 | 1 | |a El Moumen, A. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles |
| 264 | 1 | |c 2014transfer abstract | |
| 300 | |a 8 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. | ||
| 520 | |a The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. | ||
| 650 | 7 | |a Image processing |2 Elsevier | |
| 650 | 7 | |a A. Particle-reinforcement |2 Elsevier | |
| 650 | 7 | |a A. Polymer–matrix composites |2 Elsevier | |
| 650 | 7 | |a C. Finite element analysis |2 Elsevier | |
| 700 | 1 | |a Imad, A. |4 oth | |
| 700 | 1 | |a Kanit, T. |4 oth | |
| 700 | 1 | |a Hilali, E. |4 oth | |
| 700 | 1 | |a El Minor, H. |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Barisic, N ELSEVIER |t O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome |d 2013 |d an international journal |g Amsterdam [u.a.] |w (DE-627)ELV011782439 |
| 773 | 1 | 8 | |g volume:66 |g year:2014 |g pages:247-254 |g extent:8 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.compositesb.2014.05.008 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a FID-BIODIV | ||
| 912 | |a SSG-OLC-PHA | ||
| 936 | b | k | |a 42.00 |j Biologie: Allgemeines |q VZ |
| 951 | |a AR | ||
| 952 | |d 66 |j 2014 |h 247-254 |g 8 | ||
| 953 | |2 045F |a 660 | ||
| author_variant |
m a e ma mae |
|---|---|
| matchkey_str |
elmoumenaimadakanitthilalieelminorh:2014----:mliclapocadirsrcueeinfheatcopstbhvori |
| hierarchy_sort_str |
2014transfer abstract |
| bklnumber |
42.00 |
| publishDate |
2014 |
| allfields |
10.1016/j.compositesb.2014.05.008 doi GBVA2014019000012.pica (DE-627)ELV023004053 (ELSEVIER)S1359-8368(14)00206-6 DE-627 ger DE-627 rakwb eng 660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl El Moumen, A. verfasserin aut A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles 2014transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. Image processing Elsevier A. Particle-reinforcement Elsevier A. Polymer–matrix composites Elsevier C. Finite element analysis Elsevier Imad, A. oth Kanit, T. oth Hilali, E. oth El Minor, H. oth Enthalten in Elsevier Barisic, N ELSEVIER O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome 2013 an international journal Amsterdam [u.a.] (DE-627)ELV011782439 volume:66 year:2014 pages:247-254 extent:8 https://doi.org/10.1016/j.compositesb.2014.05.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 42.00 Biologie: Allgemeines VZ AR 66 2014 247-254 8 045F 660 |
| spelling |
10.1016/j.compositesb.2014.05.008 doi GBVA2014019000012.pica (DE-627)ELV023004053 (ELSEVIER)S1359-8368(14)00206-6 DE-627 ger DE-627 rakwb eng 660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl El Moumen, A. verfasserin aut A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles 2014transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. Image processing Elsevier A. Particle-reinforcement Elsevier A. Polymer–matrix composites Elsevier C. Finite element analysis Elsevier Imad, A. oth Kanit, T. oth Hilali, E. oth El Minor, H. oth Enthalten in Elsevier Barisic, N ELSEVIER O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome 2013 an international journal Amsterdam [u.a.] (DE-627)ELV011782439 volume:66 year:2014 pages:247-254 extent:8 https://doi.org/10.1016/j.compositesb.2014.05.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 42.00 Biologie: Allgemeines VZ AR 66 2014 247-254 8 045F 660 |
| allfields_unstemmed |
10.1016/j.compositesb.2014.05.008 doi GBVA2014019000012.pica (DE-627)ELV023004053 (ELSEVIER)S1359-8368(14)00206-6 DE-627 ger DE-627 rakwb eng 660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl El Moumen, A. verfasserin aut A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles 2014transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. Image processing Elsevier A. Particle-reinforcement Elsevier A. Polymer–matrix composites Elsevier C. Finite element analysis Elsevier Imad, A. oth Kanit, T. oth Hilali, E. oth El Minor, H. oth Enthalten in Elsevier Barisic, N ELSEVIER O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome 2013 an international journal Amsterdam [u.a.] (DE-627)ELV011782439 volume:66 year:2014 pages:247-254 extent:8 https://doi.org/10.1016/j.compositesb.2014.05.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 42.00 Biologie: Allgemeines VZ AR 66 2014 247-254 8 045F 660 |
| allfieldsGer |
10.1016/j.compositesb.2014.05.008 doi GBVA2014019000012.pica (DE-627)ELV023004053 (ELSEVIER)S1359-8368(14)00206-6 DE-627 ger DE-627 rakwb eng 660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl El Moumen, A. verfasserin aut A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles 2014transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. Image processing Elsevier A. Particle-reinforcement Elsevier A. Polymer–matrix composites Elsevier C. Finite element analysis Elsevier Imad, A. oth Kanit, T. oth Hilali, E. oth El Minor, H. oth Enthalten in Elsevier Barisic, N ELSEVIER O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome 2013 an international journal Amsterdam [u.a.] (DE-627)ELV011782439 volume:66 year:2014 pages:247-254 extent:8 https://doi.org/10.1016/j.compositesb.2014.05.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 42.00 Biologie: Allgemeines VZ AR 66 2014 247-254 8 045F 660 |
| allfieldsSound |
10.1016/j.compositesb.2014.05.008 doi GBVA2014019000012.pica (DE-627)ELV023004053 (ELSEVIER)S1359-8368(14)00206-6 DE-627 ger DE-627 rakwb eng 660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl El Moumen, A. verfasserin aut A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles 2014transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. Image processing Elsevier A. Particle-reinforcement Elsevier A. Polymer–matrix composites Elsevier C. Finite element analysis Elsevier Imad, A. oth Kanit, T. oth Hilali, E. oth El Minor, H. oth Enthalten in Elsevier Barisic, N ELSEVIER O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome 2013 an international journal Amsterdam [u.a.] (DE-627)ELV011782439 volume:66 year:2014 pages:247-254 extent:8 https://doi.org/10.1016/j.compositesb.2014.05.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 42.00 Biologie: Allgemeines VZ AR 66 2014 247-254 8 045F 660 |
| language |
English |
| source |
Enthalten in O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome Amsterdam [u.a.] volume:66 year:2014 pages:247-254 extent:8 |
| sourceStr |
Enthalten in O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome Amsterdam [u.a.] volume:66 year:2014 pages:247-254 extent:8 |
| format_phy_str_mv |
Article |
| bklname |
Biologie: Allgemeines |
| institution |
findex.gbv.de |
| topic_facet |
Image processing A. Particle-reinforcement A. Polymer–matrix composites C. Finite element analysis |
| dewey-raw |
660 |
| isfreeaccess_bool |
false |
| container_title |
O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome |
| authorswithroles_txt_mv |
El Moumen, A. @@aut@@ Imad, A. @@oth@@ Kanit, T. @@oth@@ Hilali, E. @@oth@@ El Minor, H. @@oth@@ |
| publishDateDaySort_date |
2014-01-01T00:00:00Z |
| hierarchy_top_id |
ELV011782439 |
| dewey-sort |
3660 |
| id |
ELV023004053 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV023004053</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625140521.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.compositesb.2014.05.008</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2014019000012.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV023004053</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1359-8368(14)00206-6</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="082" ind1="0" ind2=" "><subfield code="a">660</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">660</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">580</subfield><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">42.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">El Moumen, A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Image processing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">A. Particle-reinforcement</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">A. Polymer–matrix composites</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">C. Finite element analysis</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Imad, A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kanit, T.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hilali, E.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">El Minor, H.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Barisic, N ELSEVIER</subfield><subfield code="t">O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome</subfield><subfield code="d">2013</subfield><subfield code="d">an international journal</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV011782439</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:66</subfield><subfield code="g">year:2014</subfield><subfield code="g">pages:247-254</subfield><subfield code="g">extent:8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.compositesb.2014.05.008</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">42.00</subfield><subfield code="j">Biologie: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">66</subfield><subfield code="j">2014</subfield><subfield code="h">247-254</subfield><subfield code="g">8</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">660</subfield></datafield></record></collection>
|
| author |
El Moumen, A. |
| spellingShingle |
El Moumen, A. ddc 660 ddc 610 ddc 580 fid BIODIV bkl 42.00 Elsevier Image processing Elsevier A. Particle-reinforcement Elsevier A. Polymer–matrix composites Elsevier C. Finite element analysis A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles |
| authorStr |
El Moumen, A. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV011782439 |
| format |
electronic Article |
| dewey-ones |
660 - Chemical engineering 610 - Medicine & health 580 - Plants (Botany) 540 - Chemistry & allied sciences |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles Image processing Elsevier A. Particle-reinforcement Elsevier A. Polymer–matrix composites Elsevier C. Finite element analysis Elsevier |
| topic |
ddc 660 ddc 610 ddc 580 fid BIODIV bkl 42.00 Elsevier Image processing Elsevier A. Particle-reinforcement Elsevier A. Polymer–matrix composites Elsevier C. Finite element analysis |
| topic_unstemmed |
ddc 660 ddc 610 ddc 580 fid BIODIV bkl 42.00 Elsevier Image processing Elsevier A. Particle-reinforcement Elsevier A. Polymer–matrix composites Elsevier C. Finite element analysis |
| topic_browse |
ddc 660 ddc 610 ddc 580 fid BIODIV bkl 42.00 Elsevier Image processing Elsevier A. Particle-reinforcement Elsevier A. Polymer–matrix composites Elsevier C. Finite element analysis |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
a i ai t k tk e h eh m h e mh mhe |
| hierarchy_parent_title |
O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome |
| hierarchy_parent_id |
ELV011782439 |
| dewey-tens |
660 - Chemical engineering 610 - Medicine & health 580 - Plants (Botany) 540 - Chemistry |
| hierarchy_top_title |
O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV011782439 |
| title |
A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles |
| ctrlnum |
(DE-627)ELV023004053 (ELSEVIER)S1359-8368(14)00206-6 |
| title_full |
A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles |
| author_sort |
El Moumen, A. |
| journal |
O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome |
| journalStr |
O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology 500 - Science |
| recordtype |
marc |
| publishDateSort |
2014 |
| contenttype_str_mv |
zzz |
| container_start_page |
247 |
| author_browse |
El Moumen, A. |
| container_volume |
66 |
| physical |
8 |
| class |
660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
El Moumen, A. |
| doi_str_mv |
10.1016/j.compositesb.2014.05.008 |
| dewey-full |
660 610 580 540 |
| title_sort |
a multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles |
| title_auth |
A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles |
| abstract |
The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. |
| abstractGer |
The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. |
| abstract_unstemmed |
The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA |
| title_short |
A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles |
| url |
https://doi.org/10.1016/j.compositesb.2014.05.008 |
| remote_bool |
true |
| author2 |
Imad, A. Kanit, T. Hilali, E. El Minor, H. |
| author2Str |
Imad, A. Kanit, T. Hilali, E. El Minor, H. |
| ppnlink |
ELV011782439 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth |
| doi_str |
10.1016/j.compositesb.2014.05.008 |
| up_date |
2024-07-06T17:43:20.946Z |
| _version_ |
1803852501165801472 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV023004053</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625140521.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.compositesb.2014.05.008</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2014019000012.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV023004053</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1359-8368(14)00206-6</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="082" ind1="0" ind2=" "><subfield code="a">660</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">660</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">580</subfield><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">42.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">El Moumen, A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A multiscale approach and microstructure design of the elastic composite behavior reinforced with natural particles</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The morphology characterization and computational methods favored numerical simulation and design of microstructures. Indeed, the multiscale approaches enable us to determine the elastic properties of materials. In this paper, the objective is to develop a three-dimensional microstructure of biocomposites containing natural particles. The biocomposite is made of polypropylene matrix mixed with natural fillers. The image is obtained using the microscope. We describe a serial sectioning process and finite element simulations to reproduce, visualize and model these microstructures. Statistical methods are introduced to study the representativity of specimen. The statistical representative volume element is introduced to determine the minimum volume which provides the representativeness. This statistical volume is compared with experimental and numerical ones.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Image processing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">A. Particle-reinforcement</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">A. Polymer–matrix composites</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">C. Finite element analysis</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Imad, A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kanit, T.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hilali, E.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">El Minor, H.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Barisic, N ELSEVIER</subfield><subfield code="t">O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome</subfield><subfield code="d">2013</subfield><subfield code="d">an international journal</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV011782439</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:66</subfield><subfield code="g">year:2014</subfield><subfield code="g">pages:247-254</subfield><subfield code="g">extent:8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.compositesb.2014.05.008</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">42.00</subfield><subfield code="j">Biologie: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">66</subfield><subfield code="j">2014</subfield><subfield code="h">247-254</subfield><subfield code="g">8</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">660</subfield></datafield></record></collection>
|
| score |
7.402316 |