Theoretical Considerations, Flow Visualization and Pressure Measurements for Rear-End Collisions of Two Unequal Solitary Waves View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Motohiko Umeyama

ABSTRACT

This paper discusses some theoretical results and some visualization techniques such as particle image velocimetry (PIV), particle tracking velocimetry, particle mask correlation (PMC), and image thresholding. These are used to examine the wave dynamics and kinematics of the rear-end collision of two unequal solitary waves. Spatial surface profiles during the interaction were measured in detail using several photos with the PMC method. The velocity-field measurements of the compound waves were conducted using the super-resolution PIV that consists of an 8-W ND:YAG laser and a high-speed CCD camera. We investigated, independently, three types of surface profiles and velocity fields: smaller, taller, and compound waves in the rear-end collision period. In addition, the dynamic pressure was determined to help our understanding of the nature of the interactions; this was accomplished by using small pressure transducers placed at various locations throughout the water depth. More... »

PAGES

12

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00021-019-0417-6

DOI

http://dx.doi.org/10.1007/s00021-019-0417-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111934762


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tokyo Metropolitan University", 
          "id": "https://www.grid.ac/institutes/grid.265074.2", 
          "name": [
            "Department of Civil and Environmental Engineering, Tokyo Metropolitan University, 1-1 Minamiohsawa Hachioji, 192-0397, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Umeyama", 
        "givenName": "Motohiko", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1063/1.4967362", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000832332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.1981.0231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011826764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/jfm.2015.112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012363353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/jfm.2015.112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012363353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fluiddyn.2007.06.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014067379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02392586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014571114", 
          "https://doi.org/10.1007/bf02392586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2010gl046419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016441513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5772/34827", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017113770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/14786449508620739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021858340"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1090/s0273-0979-07-01159-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022128662"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008gl036821", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023567234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008gl036821", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023567234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cpa.3160070305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024060307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cpa.3160070305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024060307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wavemoti.2012.04.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024161371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.2011.0450", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029429847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/03605308808820554", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030632911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00205-011-0396-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033052850", 
          "https://doi.org/10.1007/s00205-011-0396-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.2002.1065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041971190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.fl.23.010191.001401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042665937"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-8928(60)90071-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051152444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-8928(60)90071-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051152444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.15.240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053161184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.15.240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053161184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112099006151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053942279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/jfm.2012.114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054013669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/jfm.2012.114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054013669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s030500410002870x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054081311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)0733-950x(2008)134:5(286)", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057607881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)ww.1943-5460.0000067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057645595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)ww.1943-5460.0000191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057645717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2205916", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057846764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1090/s0033-569x-09-01166-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059337278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/zna-2009-1-211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067573274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3934/dcdsb.2009.12.623", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071736420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.9753/icce.v33.currents.54", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074147404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.na.2017.01.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083531144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.oceaneng.2017.03.041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084533666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/1.9781611971873", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098553037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511624056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098709738"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9781139172059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098775173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.2017.0103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099786108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.na.2018.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101673975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5772/2118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1108515340"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03", 
    "datePublishedReg": "2019-03-01", 
    "description": "This paper discusses some theoretical results and some visualization techniques such as particle image velocimetry (PIV), particle tracking velocimetry, particle mask correlation (PMC), and image thresholding. These are used to examine the wave dynamics and kinematics of the rear-end collision of two unequal solitary waves. Spatial surface profiles during the interaction were measured in detail using several photos with the PMC method. The velocity-field measurements of the compound waves were conducted using the super-resolution PIV that consists of an 8-W ND:YAG laser and a high-speed CCD camera. We investigated, independently, three types of surface profiles and velocity fields: smaller, taller, and compound waves in the rear-end collision period. In addition, the dynamic pressure was determined to help our understanding of the nature of the interactions; this was accomplished by using small pressure transducers placed at various locations throughout the water depth.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00021-019-0417-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136315", 
        "issn": [
          "1422-6928", 
          "1422-6952"
        ], 
        "name": "Journal of Mathematical Fluid Mechanics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "21"
      }
    ], 
    "name": "Theoretical Considerations, Flow Visualization and Pressure Measurements for Rear-End Collisions of Two Unequal Solitary Waves", 
    "pagination": "12", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9939032ca6a96cd775a0020b97d93af152000ae96f55404f4c79671dd7c5841d"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00021-019-0417-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111934762"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00021-019-0417-6", 
      "https://app.dimensions.ai/details/publication/pub.1111934762"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:54", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000364_0000000364/records_72862_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00021-019-0417-6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00021-019-0417-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00021-019-0417-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00021-019-0417-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00021-019-0417-6'


 

This table displays all metadata directly associated to this object as RDF triples.

176 TRIPLES      21 PREDICATES      65 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00021-019-0417-6 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author N56c34737a9254a25b927a7ccbe9e3fd4
4 schema:citation sg:pub.10.1007/bf02392586
5 sg:pub.10.1007/s00205-011-0396-0
6 https://doi.org/10.1002/cpa.3160070305
7 https://doi.org/10.1016/0021-8928(60)90071-x
8 https://doi.org/10.1016/j.fluiddyn.2007.06.004
9 https://doi.org/10.1016/j.na.2017.01.009
10 https://doi.org/10.1016/j.na.2018.02.003
11 https://doi.org/10.1016/j.oceaneng.2017.03.041
12 https://doi.org/10.1016/j.wavemoti.2012.04.007
13 https://doi.org/10.1017/cbo9780511624056
14 https://doi.org/10.1017/cbo9781139172059
15 https://doi.org/10.1017/jfm.2012.114
16 https://doi.org/10.1017/jfm.2015.112
17 https://doi.org/10.1017/s0022112099006151
18 https://doi.org/10.1017/s030500410002870x
19 https://doi.org/10.1029/2008gl036821
20 https://doi.org/10.1029/2010gl046419
21 https://doi.org/10.1061/(asce)0733-950x(2008)134:5(286)
22 https://doi.org/10.1061/(asce)ww.1943-5460.0000067
23 https://doi.org/10.1061/(asce)ww.1943-5460.0000191
24 https://doi.org/10.1063/1.2205916
25 https://doi.org/10.1063/1.4967362
26 https://doi.org/10.1080/03605308808820554
27 https://doi.org/10.1080/14786449508620739
28 https://doi.org/10.1090/s0033-569x-09-01166-1
29 https://doi.org/10.1090/s0273-0979-07-01159-7
30 https://doi.org/10.1098/rsta.1981.0231
31 https://doi.org/10.1098/rsta.2002.1065
32 https://doi.org/10.1098/rsta.2011.0450
33 https://doi.org/10.1098/rsta.2017.0103
34 https://doi.org/10.1103/physrevlett.15.240
35 https://doi.org/10.1137/1.9781611971873
36 https://doi.org/10.1146/annurev.fl.23.010191.001401
37 https://doi.org/10.1515/zna-2009-1-211
38 https://doi.org/10.3934/dcdsb.2009.12.623
39 https://doi.org/10.5772/2118
40 https://doi.org/10.5772/34827
41 https://doi.org/10.9753/icce.v33.currents.54
42 schema:datePublished 2019-03
43 schema:datePublishedReg 2019-03-01
44 schema:description This paper discusses some theoretical results and some visualization techniques such as particle image velocimetry (PIV), particle tracking velocimetry, particle mask correlation (PMC), and image thresholding. These are used to examine the wave dynamics and kinematics of the rear-end collision of two unequal solitary waves. Spatial surface profiles during the interaction were measured in detail using several photos with the PMC method. The velocity-field measurements of the compound waves were conducted using the super-resolution PIV that consists of an 8-W ND:YAG laser and a high-speed CCD camera. We investigated, independently, three types of surface profiles and velocity fields: smaller, taller, and compound waves in the rear-end collision period. In addition, the dynamic pressure was determined to help our understanding of the nature of the interactions; this was accomplished by using small pressure transducers placed at various locations throughout the water depth.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree false
48 schema:isPartOf N15516f647e46450bb8dba732a7683268
49 Nd6347e94d91146daa58b2e1f84b5f900
50 sg:journal.1136315
51 schema:name Theoretical Considerations, Flow Visualization and Pressure Measurements for Rear-End Collisions of Two Unequal Solitary Waves
52 schema:pagination 12
53 schema:productId N4eae8f2986ab40e4ae4281edc650bc73
54 N59d9317466b74c359ace8ac50fe078e9
55 Nea348443d61947bbb23117893c06fac9
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111934762
57 https://doi.org/10.1007/s00021-019-0417-6
58 schema:sdDatePublished 2019-04-11T12:54
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher N82c826394cdb40b3802d9dd18c6f331f
61 schema:url https://link.springer.com/10.1007%2Fs00021-019-0417-6
62 sgo:license sg:explorer/license/
63 sgo:sdDataset articles
64 rdf:type schema:ScholarlyArticle
65 N03b08bc98f374f12bab9c86e88febce3 schema:affiliation https://www.grid.ac/institutes/grid.265074.2
66 schema:familyName Umeyama
67 schema:givenName Motohiko
68 rdf:type schema:Person
69 N15516f647e46450bb8dba732a7683268 schema:issueNumber 1
70 rdf:type schema:PublicationIssue
71 N4eae8f2986ab40e4ae4281edc650bc73 schema:name dimensions_id
72 schema:value pub.1111934762
73 rdf:type schema:PropertyValue
74 N56c34737a9254a25b927a7ccbe9e3fd4 rdf:first N03b08bc98f374f12bab9c86e88febce3
75 rdf:rest rdf:nil
76 N59d9317466b74c359ace8ac50fe078e9 schema:name doi
77 schema:value 10.1007/s00021-019-0417-6
78 rdf:type schema:PropertyValue
79 N82c826394cdb40b3802d9dd18c6f331f schema:name Springer Nature - SN SciGraph project
80 rdf:type schema:Organization
81 Nd6347e94d91146daa58b2e1f84b5f900 schema:volumeNumber 21
82 rdf:type schema:PublicationVolume
83 Nea348443d61947bbb23117893c06fac9 schema:name readcube_id
84 schema:value 9939032ca6a96cd775a0020b97d93af152000ae96f55404f4c79671dd7c5841d
85 rdf:type schema:PropertyValue
86 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
87 schema:name Engineering
88 rdf:type schema:DefinedTerm
89 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
90 schema:name Interdisciplinary Engineering
91 rdf:type schema:DefinedTerm
92 sg:journal.1136315 schema:issn 1422-6928
93 1422-6952
94 schema:name Journal of Mathematical Fluid Mechanics
95 rdf:type schema:Periodical
96 sg:pub.10.1007/bf02392586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014571114
97 https://doi.org/10.1007/bf02392586
98 rdf:type schema:CreativeWork
99 sg:pub.10.1007/s00205-011-0396-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033052850
100 https://doi.org/10.1007/s00205-011-0396-0
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1002/cpa.3160070305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024060307
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/0021-8928(60)90071-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051152444
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/j.fluiddyn.2007.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014067379
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/j.na.2017.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083531144
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/j.na.2018.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101673975
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/j.oceaneng.2017.03.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084533666
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.wavemoti.2012.04.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024161371
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1017/cbo9780511624056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098709738
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1017/cbo9781139172059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098775173
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1017/jfm.2012.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054013669
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1017/jfm.2015.112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012363353
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1017/s0022112099006151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053942279
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1017/s030500410002870x schema:sameAs https://app.dimensions.ai/details/publication/pub.1054081311
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1029/2008gl036821 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023567234
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1029/2010gl046419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016441513
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1061/(asce)0733-950x(2008)134:5(286) schema:sameAs https://app.dimensions.ai/details/publication/pub.1057607881
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1061/(asce)ww.1943-5460.0000067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057645595
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1061/(asce)ww.1943-5460.0000191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057645717
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1063/1.2205916 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057846764
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1063/1.4967362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000832332
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1080/03605308808820554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030632911
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1080/14786449508620739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021858340
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1090/s0033-569x-09-01166-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059337278
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1090/s0273-0979-07-01159-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022128662
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1098/rsta.1981.0231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011826764
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1098/rsta.2002.1065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041971190
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1098/rsta.2011.0450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029429847
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1098/rsta.2017.0103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099786108
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1103/physrevlett.15.240 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053161184
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1137/1.9781611971873 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098553037
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1146/annurev.fl.23.010191.001401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042665937
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1515/zna-2009-1-211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067573274
165 rdf:type schema:CreativeWork
166 https://doi.org/10.3934/dcdsb.2009.12.623 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071736420
167 rdf:type schema:CreativeWork
168 https://doi.org/10.5772/2118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1108515340
169 rdf:type schema:CreativeWork
170 https://doi.org/10.5772/34827 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017113770
171 rdf:type schema:CreativeWork
172 https://doi.org/10.9753/icce.v33.currents.54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074147404
173 rdf:type schema:CreativeWork
174 https://www.grid.ac/institutes/grid.265074.2 schema:alternateName Tokyo Metropolitan University
175 schema:name Department of Civil and Environmental Engineering, Tokyo Metropolitan University, 1-1 Minamiohsawa Hachioji, 192-0397, Tokyo, Japan
176 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...