Nonlinear analysis of flexible and steel catenary risers with internal flow and seabed interaction effects View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-06

AUTHORS

Haifei Chen, Sipeng Xu, Haiyan Guo

ABSTRACT

Flexible risers and steel catenary risers often provide unique riser solutions for today’s deepwater field development. Accurate analysis of these slender structures, in which there are high-speed HP/HT internal flows, is critical to ensure personnel and asset safety. In this study, a special global coordinate-based FEM rod model was adopted to identify and quantify the effects of internal flow and hydrostatic pressure on both flexible and deepwater steel catenary risers, with emphasis on the latter. By incorporating internal flow induced forces into the model, it was found that the internal flow contributes a new term to the effective tension expression. For flexible risers in shallow water, internal flow and hydrostatic pressure made virtually no change to effective tension by merely altering the riser wall tension. In deep water the internal pressure wielded a dominant role in governing the riser effective tension and furthering the static configuration, while the effect of inflow velocity was negligible. With respect to the riser seabed interaction, both the seabed support and friction effect were considered, with the former modeled by a nonlinear quadratic spring, allowing for a consistent derivation of the tangent stiffness matrix. The presented application examples show that the nonlinear quadratic spring is, when using the catenary solution as an initial static profile, an efficient way to model the quasi-Winkler-type elastic seabed foundation in this finite element scheme. More... »

PAGES

156-162

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11804-011-1055-4

DOI

http://dx.doi.org/10.1007/s11804-011-1055-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005600936


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/2008/0905", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Civil 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": "Ocean University of China", 
          "id": "https://www.grid.ac/institutes/grid.4422.0", 
          "name": [
            "College of Engineering, Ocean University of China, 266100, Qingdao, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Haifei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ocean University of China", 
          "id": "https://www.grid.ac/institutes/grid.4422.0", 
          "name": [
            "College of Engineering, Ocean University of China, 266100, Qingdao, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Sipeng", 
        "id": "sg:person.011216251515.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011216251515.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ocean University of China", 
          "id": "https://www.grid.ac/institutes/grid.4422.0", 
          "name": [
            "College of Engineering, Ocean University of China, 266100, Qingdao, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guo", 
        "givenName": "Haiyan", 
        "id": "sg:person.013225651115.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013225651115.69"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0045-7949(88)90364-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007694698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7949(88)90364-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007694698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.oceaneng.2005.04.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014014958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0951-8339(92)90025-k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029960698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0951-8339(92)90025-k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029960698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0029-8018(94)00027-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030744452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0141-0296(89)90046-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037144832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0141-0296(89)90046-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037144832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0141-0296(95)00027-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047178369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0951-8339(92)90024-j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049485823"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0951-8339(92)90024-j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049485823"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0141-0296(97)00176-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049537221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.3230419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062108639"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/omae2006-92171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092895871"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-06", 
    "datePublishedReg": "2011-06-01", 
    "description": "Flexible risers and steel catenary risers often provide unique riser solutions for today\u2019s deepwater field development. Accurate analysis of these slender structures, in which there are high-speed HP/HT internal flows, is critical to ensure personnel and asset safety. In this study, a special global coordinate-based FEM rod model was adopted to identify and quantify the effects of internal flow and hydrostatic pressure on both flexible and deepwater steel catenary risers, with emphasis on the latter. By incorporating internal flow induced forces into the model, it was found that the internal flow contributes a new term to the effective tension expression. For flexible risers in shallow water, internal flow and hydrostatic pressure made virtually no change to effective tension by merely altering the riser wall tension. In deep water the internal pressure wielded a dominant role in governing the riser effective tension and furthering the static configuration, while the effect of inflow velocity was negligible. With respect to the riser seabed interaction, both the seabed support and friction effect were considered, with the former modeled by a nonlinear quadratic spring, allowing for a consistent derivation of the tangent stiffness matrix. The presented application examples show that the nonlinear quadratic spring is, when using the catenary solution as an initial static profile, an efficient way to model the quasi-Winkler-type elastic seabed foundation in this finite element scheme.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11804-011-1055-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136048", 
        "issn": [
          "1671-9433", 
          "1993-5048"
        ], 
        "name": "Journal of Marine Science and Application", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Nonlinear analysis of flexible and steel catenary risers with internal flow and seabed interaction effects", 
    "pagination": "156-162", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1aaf86f12de68f10e15e7a70b438ad394a78d4fd56430efb3204e171e2e52cd0"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11804-011-1055-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1005600936"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11804-011-1055-4", 
      "https://app.dimensions.ai/details/publication/pub.1005600936"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:48", 
    "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/v90/0000000001_0000000264/records_8684_00000520.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11804-011-1055-4"
  }
]
 

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/s11804-011-1055-4'

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/s11804-011-1055-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11804-011-1055-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11804-011-1055-4'


 

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

104 TRIPLES      21 PREDICATES      37 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11804-011-1055-4 schema:about anzsrc-for:09
2 anzsrc-for:0905
3 schema:author N758497c3cc584c6fb66fced00001d7df
4 schema:citation https://doi.org/10.1016/0029-8018(94)00027-5
5 https://doi.org/10.1016/0045-7949(88)90364-1
6 https://doi.org/10.1016/0141-0296(89)90046-1
7 https://doi.org/10.1016/0141-0296(95)00027-5
8 https://doi.org/10.1016/0951-8339(92)90024-j
9 https://doi.org/10.1016/0951-8339(92)90025-k
10 https://doi.org/10.1016/j.oceaneng.2005.04.006
11 https://doi.org/10.1016/s0141-0296(97)00176-4
12 https://doi.org/10.1115/1.3230419
13 https://doi.org/10.1115/omae2006-92171
14 schema:datePublished 2011-06
15 schema:datePublishedReg 2011-06-01
16 schema:description Flexible risers and steel catenary risers often provide unique riser solutions for today’s deepwater field development. Accurate analysis of these slender structures, in which there are high-speed HP/HT internal flows, is critical to ensure personnel and asset safety. In this study, a special global coordinate-based FEM rod model was adopted to identify and quantify the effects of internal flow and hydrostatic pressure on both flexible and deepwater steel catenary risers, with emphasis on the latter. By incorporating internal flow induced forces into the model, it was found that the internal flow contributes a new term to the effective tension expression. For flexible risers in shallow water, internal flow and hydrostatic pressure made virtually no change to effective tension by merely altering the riser wall tension. In deep water the internal pressure wielded a dominant role in governing the riser effective tension and furthering the static configuration, while the effect of inflow velocity was negligible. With respect to the riser seabed interaction, both the seabed support and friction effect were considered, with the former modeled by a nonlinear quadratic spring, allowing for a consistent derivation of the tangent stiffness matrix. The presented application examples show that the nonlinear quadratic spring is, when using the catenary solution as an initial static profile, an efficient way to model the quasi-Winkler-type elastic seabed foundation in this finite element scheme.
17 schema:genre research_article
18 schema:inLanguage en
19 schema:isAccessibleForFree false
20 schema:isPartOf N949f5ef8e7254fb4bf9e1aec4313ae65
21 Ne780d204ef7a44d8bef7840ad63e47f6
22 sg:journal.1136048
23 schema:name Nonlinear analysis of flexible and steel catenary risers with internal flow and seabed interaction effects
24 schema:pagination 156-162
25 schema:productId N4c69815887c043ad82dc19c27ce4058a
26 N7f8f615998e6498ea74c99bab9c13fa0
27 Nfa829d1de3e741c5b09bedd75098b6fa
28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005600936
29 https://doi.org/10.1007/s11804-011-1055-4
30 schema:sdDatePublished 2019-04-10T20:48
31 schema:sdLicense https://scigraph.springernature.com/explorer/license/
32 schema:sdPublisher N5e81c95cfa5441cd8a865335658f8ca4
33 schema:url http://link.springer.com/10.1007%2Fs11804-011-1055-4
34 sgo:license sg:explorer/license/
35 sgo:sdDataset articles
36 rdf:type schema:ScholarlyArticle
37 N4c69815887c043ad82dc19c27ce4058a schema:name doi
38 schema:value 10.1007/s11804-011-1055-4
39 rdf:type schema:PropertyValue
40 N5e81c95cfa5441cd8a865335658f8ca4 schema:name Springer Nature - SN SciGraph project
41 rdf:type schema:Organization
42 N6a91b6ca57394415978ae2c668816755 rdf:first sg:person.013225651115.69
43 rdf:rest rdf:nil
44 N758497c3cc584c6fb66fced00001d7df rdf:first N9da1f664b0fb4bba9e7c041485f85c60
45 rdf:rest Nf2243881b8454763a9f8fa221d4cb95c
46 N7f8f615998e6498ea74c99bab9c13fa0 schema:name dimensions_id
47 schema:value pub.1005600936
48 rdf:type schema:PropertyValue
49 N949f5ef8e7254fb4bf9e1aec4313ae65 schema:issueNumber 2
50 rdf:type schema:PublicationIssue
51 N9da1f664b0fb4bba9e7c041485f85c60 schema:affiliation https://www.grid.ac/institutes/grid.4422.0
52 schema:familyName Chen
53 schema:givenName Haifei
54 rdf:type schema:Person
55 Ne780d204ef7a44d8bef7840ad63e47f6 schema:volumeNumber 10
56 rdf:type schema:PublicationVolume
57 Nf2243881b8454763a9f8fa221d4cb95c rdf:first sg:person.011216251515.33
58 rdf:rest N6a91b6ca57394415978ae2c668816755
59 Nfa829d1de3e741c5b09bedd75098b6fa schema:name readcube_id
60 schema:value 1aaf86f12de68f10e15e7a70b438ad394a78d4fd56430efb3204e171e2e52cd0
61 rdf:type schema:PropertyValue
62 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
63 schema:name Engineering
64 rdf:type schema:DefinedTerm
65 anzsrc-for:0905 schema:inDefinedTermSet anzsrc-for:
66 schema:name Civil Engineering
67 rdf:type schema:DefinedTerm
68 sg:journal.1136048 schema:issn 1671-9433
69 1993-5048
70 schema:name Journal of Marine Science and Application
71 rdf:type schema:Periodical
72 sg:person.011216251515.33 schema:affiliation https://www.grid.ac/institutes/grid.4422.0
73 schema:familyName Xu
74 schema:givenName Sipeng
75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011216251515.33
76 rdf:type schema:Person
77 sg:person.013225651115.69 schema:affiliation https://www.grid.ac/institutes/grid.4422.0
78 schema:familyName Guo
79 schema:givenName Haiyan
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013225651115.69
81 rdf:type schema:Person
82 https://doi.org/10.1016/0029-8018(94)00027-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030744452
83 rdf:type schema:CreativeWork
84 https://doi.org/10.1016/0045-7949(88)90364-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007694698
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1016/0141-0296(89)90046-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037144832
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1016/0141-0296(95)00027-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047178369
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1016/0951-8339(92)90024-j schema:sameAs https://app.dimensions.ai/details/publication/pub.1049485823
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1016/0951-8339(92)90025-k schema:sameAs https://app.dimensions.ai/details/publication/pub.1029960698
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1016/j.oceaneng.2005.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014014958
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1016/s0141-0296(97)00176-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049537221
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1115/1.3230419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062108639
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1115/omae2006-92171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092895871
101 rdf:type schema:CreativeWork
102 https://www.grid.ac/institutes/grid.4422.0 schema:alternateName Ocean University of China
103 schema:name College of Engineering, Ocean University of China, 266100, Qingdao, China
104 rdf:type schema:Organization
 




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


...