Databases for Backward Erosion Piping Laboratory Experiments and Field Observations View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Vera van Beek , Ane Wiersma , Martijn van Egdom , Bryant A. Robbins

ABSTRACT

Backward erosion piping is a failure mechanism which involves the formation of shallow pipes in a sandy foundation layer and is considered to be a major risk for levees. For understanding this mechanism and the development of prediction models, laboratory experiments are essential. In addition, due to scale effects and heterogeneity in field conditions, field observations and case histories are indispensable for validation of models and delineation of piping sensitive conditions. However, both experiments and field observations are often not easily utilized for this purpose. Piping experiments have been conducted in various research programmes, countries, and in a variety of configurations making the experiments difficult to compare due to inconsistent observations and differing configurations. Case histories are often poorly documented and like experiments, described in different sources and different levels of detail, due to which their full potential is often not reached. Given the importance of experimental and field data for the prediction of backward erosion piping, a need exists for a centralized organization of data. Two different databases are presented here, for laboratory experiments and field observations respectively, each combined with a web application for viewing and exporting the data. The laboratory experiment database is populated with 332 experiments. The field observation database is currently populated with 3 failure cases and 2840 sand boils located in the Netherlands and the United States. Future work will focus on a more complete population of the databases, user-friendliness of the web viewer, and analysis of the gathered data for improvement of prediction models. More... »

PAGES

336-346

Book

TITLE

Internal Erosion in Earthdams, Dikes and Levees

ISBN

978-3-319-99422-2
978-3-319-99423-9

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-99423-9_30

DOI

http://dx.doi.org/10.1007/978-3-319-99423-9_30

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106472856


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/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Deltares", 
          "id": "https://www.grid.ac/institutes/grid.6385.8", 
          "name": [
            "Deltares"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Beek", 
        "givenName": "Vera", 
        "id": "sg:person.013543131745.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013543131745.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Deltares", 
          "id": "https://www.grid.ac/institutes/grid.6385.8", 
          "name": [
            "Deltares"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wiersma", 
        "givenName": "Ane", 
        "id": "sg:person.011275275601.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011275275601.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Deltares", 
          "id": "https://www.grid.ac/institutes/grid.6385.8", 
          "name": [
            "Deltares"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Egdom", 
        "givenName": "Martijn", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "U.S. Army Engineer Research and Development Center"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Robbins", 
        "givenName": "Bryant A.", 
        "id": "sg:person.07461713653.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07461713653.16"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3166/ejece.15.1115-1137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071064956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/9780784405376.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096191620"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019", 
    "datePublishedReg": "2019-01-01", 
    "description": "Backward erosion piping is a failure mechanism which involves the formation of shallow pipes in a sandy foundation layer and is considered to be a major risk for levees. For understanding this mechanism and the development of prediction models, laboratory experiments are essential. In addition, due to scale effects and heterogeneity in field conditions, field observations and case histories are indispensable for validation of models and delineation of piping sensitive conditions. However, both experiments and field observations are often not easily utilized for this purpose. Piping experiments have been conducted in various research programmes, countries, and in a variety of configurations making the experiments difficult to compare due to inconsistent observations and differing configurations. Case histories are often poorly documented and like experiments, described in different sources and different levels of detail, due to which their full potential is often not reached. Given the importance of experimental and field data for the prediction of backward erosion piping, a need exists for a centralized organization of data. Two different databases are presented here, for laboratory experiments and field observations respectively, each combined with a web application for viewing and exporting the data. The laboratory experiment database is populated with 332 experiments. The field observation database is currently populated with 3 failure cases and 2840 sand boils located in the Netherlands and the United States. Future work will focus on a more complete population of the databases, user-friendliness of the web viewer, and analysis of the gathered data for improvement of prediction models.", 
    "editor": [
      {
        "familyName": "Bonelli", 
        "givenName": "St\u00e9phane", 
        "type": "Person"
      }, 
      {
        "familyName": "Jommi", 
        "givenName": "Cristina", 
        "type": "Person"
      }, 
      {
        "familyName": "Sterpi", 
        "givenName": "Donatella", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-99423-9_30", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-99422-2", 
        "978-3-319-99423-9"
      ], 
      "name": "Internal Erosion in Earthdams, Dikes and Levees", 
      "type": "Book"
    }, 
    "name": "Databases for Backward Erosion Piping Laboratory Experiments and Field Observations", 
    "pagination": "336-346", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-99423-9_30"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e2389af670ef33026cab4cd30e7ec1e3ec31e4e90ad25541c87493f926291b38"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1106472856"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-99423-9_30", 
      "https://app.dimensions.ai/details/publication/pub.1106472856"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T12:14", 
    "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_8660_00000605.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-319-99423-9_30"
  }
]
 

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.10.1007/978-3-319-99423-9_30'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99423-9_30'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99423-9_30'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99423-9_30'


 

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

103 TRIPLES      23 PREDICATES      29 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-99423-9_30 schema:about anzsrc-for:01
2 anzsrc-for:0104
3 schema:author N1e239af041dc4edc948695126b160a6c
4 schema:citation https://doi.org/10.1061/9780784405376.006
5 https://doi.org/10.3166/ejece.15.1115-1137
6 schema:datePublished 2019
7 schema:datePublishedReg 2019-01-01
8 schema:description Backward erosion piping is a failure mechanism which involves the formation of shallow pipes in a sandy foundation layer and is considered to be a major risk for levees. For understanding this mechanism and the development of prediction models, laboratory experiments are essential. In addition, due to scale effects and heterogeneity in field conditions, field observations and case histories are indispensable for validation of models and delineation of piping sensitive conditions. However, both experiments and field observations are often not easily utilized for this purpose. Piping experiments have been conducted in various research programmes, countries, and in a variety of configurations making the experiments difficult to compare due to inconsistent observations and differing configurations. Case histories are often poorly documented and like experiments, described in different sources and different levels of detail, due to which their full potential is often not reached. Given the importance of experimental and field data for the prediction of backward erosion piping, a need exists for a centralized organization of data. Two different databases are presented here, for laboratory experiments and field observations respectively, each combined with a web application for viewing and exporting the data. The laboratory experiment database is populated with 332 experiments. The field observation database is currently populated with 3 failure cases and 2840 sand boils located in the Netherlands and the United States. Future work will focus on a more complete population of the databases, user-friendliness of the web viewer, and analysis of the gathered data for improvement of prediction models.
9 schema:editor N3933035a52234574b685c97ddc54de32
10 schema:genre chapter
11 schema:inLanguage en
12 schema:isAccessibleForFree false
13 schema:isPartOf N3763da1e42b940baaa402c8c4292c32b
14 schema:name Databases for Backward Erosion Piping Laboratory Experiments and Field Observations
15 schema:pagination 336-346
16 schema:productId N251673e2d348457492a23692a25177b7
17 N90494f3c21d54bf68bce866dd78961c7
18 Nc5a2b00b538f4c219ea34271e0ce2145
19 schema:publisher Ncb196c416e074ecca1fe823274493f18
20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106472856
21 https://doi.org/10.1007/978-3-319-99423-9_30
22 schema:sdDatePublished 2019-04-15T12:14
23 schema:sdLicense https://scigraph.springernature.com/explorer/license/
24 schema:sdPublisher Na013d59c15da47ae9135d2e49a88355e
25 schema:url http://link.springer.com/10.1007/978-3-319-99423-9_30
26 sgo:license sg:explorer/license/
27 sgo:sdDataset chapters
28 rdf:type schema:Chapter
29 N0d57e9c4672348b3a2f9de6096b63b04 rdf:first sg:person.07461713653.16
30 rdf:rest rdf:nil
31 N1e239af041dc4edc948695126b160a6c rdf:first sg:person.013543131745.25
32 rdf:rest Nac25c7e4580441c88cf9172518ab7a0a
33 N251673e2d348457492a23692a25177b7 schema:name readcube_id
34 schema:value e2389af670ef33026cab4cd30e7ec1e3ec31e4e90ad25541c87493f926291b38
35 rdf:type schema:PropertyValue
36 N3763da1e42b940baaa402c8c4292c32b schema:isbn 978-3-319-99422-2
37 978-3-319-99423-9
38 schema:name Internal Erosion in Earthdams, Dikes and Levees
39 rdf:type schema:Book
40 N3933035a52234574b685c97ddc54de32 rdf:first N8cdffc66cef24920ae8716c4b9cf78ef
41 rdf:rest N5e8015a590ce4b46ad8d829fe5d71af2
42 N5e8015a590ce4b46ad8d829fe5d71af2 rdf:first Nc546875851d749fc8415337aa4fca0d2
43 rdf:rest Nfd1211a77a4a4276aad619ad30317929
44 N6903403723c441a6aa2f6589e39af8d1 schema:familyName Sterpi
45 schema:givenName Donatella
46 rdf:type schema:Person
47 N7ab18236792d41d09ba94f7d8dc5d426 rdf:first N9addc09bb5f44ed19920748a1554db9d
48 rdf:rest N0d57e9c4672348b3a2f9de6096b63b04
49 N8cdffc66cef24920ae8716c4b9cf78ef schema:familyName Bonelli
50 schema:givenName Stéphane
51 rdf:type schema:Person
52 N90494f3c21d54bf68bce866dd78961c7 schema:name dimensions_id
53 schema:value pub.1106472856
54 rdf:type schema:PropertyValue
55 N9addc09bb5f44ed19920748a1554db9d schema:affiliation https://www.grid.ac/institutes/grid.6385.8
56 schema:familyName van Egdom
57 schema:givenName Martijn
58 rdf:type schema:Person
59 Na013d59c15da47ae9135d2e49a88355e schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 Nac25c7e4580441c88cf9172518ab7a0a rdf:first sg:person.011275275601.54
62 rdf:rest N7ab18236792d41d09ba94f7d8dc5d426
63 Nb7601e2e8fa04ba38f1a4cf178affc66 schema:name U.S. Army Engineer Research and Development Center
64 rdf:type schema:Organization
65 Nc546875851d749fc8415337aa4fca0d2 schema:familyName Jommi
66 schema:givenName Cristina
67 rdf:type schema:Person
68 Nc5a2b00b538f4c219ea34271e0ce2145 schema:name doi
69 schema:value 10.1007/978-3-319-99423-9_30
70 rdf:type schema:PropertyValue
71 Ncb196c416e074ecca1fe823274493f18 schema:location Cham
72 schema:name Springer International Publishing
73 rdf:type schema:Organisation
74 Nfd1211a77a4a4276aad619ad30317929 rdf:first N6903403723c441a6aa2f6589e39af8d1
75 rdf:rest rdf:nil
76 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
77 schema:name Mathematical Sciences
78 rdf:type schema:DefinedTerm
79 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
80 schema:name Statistics
81 rdf:type schema:DefinedTerm
82 sg:person.011275275601.54 schema:affiliation https://www.grid.ac/institutes/grid.6385.8
83 schema:familyName Wiersma
84 schema:givenName Ane
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011275275601.54
86 rdf:type schema:Person
87 sg:person.013543131745.25 schema:affiliation https://www.grid.ac/institutes/grid.6385.8
88 schema:familyName van Beek
89 schema:givenName Vera
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013543131745.25
91 rdf:type schema:Person
92 sg:person.07461713653.16 schema:affiliation Nb7601e2e8fa04ba38f1a4cf178affc66
93 schema:familyName Robbins
94 schema:givenName Bryant A.
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07461713653.16
96 rdf:type schema:Person
97 https://doi.org/10.1061/9780784405376.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096191620
98 rdf:type schema:CreativeWork
99 https://doi.org/10.3166/ejece.15.1115-1137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071064956
100 rdf:type schema:CreativeWork
101 https://www.grid.ac/institutes/grid.6385.8 schema:alternateName Deltares
102 schema:name Deltares
103 rdf:type schema:Organization
 




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


...