NDT for need based maintenance of bridge cables, ropes and pre-stressed elements View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-12

AUTHORS

Jochen H. Kurz, Laurent Laguerre, Frank Niese, Laurent Gaillet, Klaus Szielasko, Ralf Tschuncky, Fabien Treyssede

ABSTRACT

Infrastructure is subject to continuous ageing. This has given life cycle management of infrastructure an increasingly important role. Reliable inspection and monitoring tools are therefore in demand. A reliable prognosis of the condition and behaviour of a structure is an important basis for an effective service life management. Furthermore, traffic loads and loads due to changing environmental conditions increased during the last years and will increase in the future. Repair and maintenance have to be performed, which requires reliable concepts and measurement of data, which is preferably gained through non-destructive methods. Furthermore, infrastructural constructions often have to be reconditioned when they are in use i. e. they cannot be torn down and rebuilt. Therefore, reliable diagnosis of the state of ‘hot spots’ is required. Within the frame of the Franco-German project FilameNDT steel wires of external tendon ducts and prestressing strands, prestressing rods, and stay cables are investigated. With regards to this field of application, practical relevance can only be gained when easily applicable and long ranging methods are used. The evaluation of extended structural elements using non-contact movable systems {bulk wave and guided wave application [Piezo, electromagnetic acoustic transducers (EMAT)], magnetic flux leakage (MFL), Micromagnetic methods} and those of localized elements based on elastic guided wave propagation—are complementary since they can be applied according to the various accessibility conditions of the tested objects. Inspection and monitoring scenarios were developed, hot spots were identified, and lab tests as well as field tests were carried out. A real cable stayed bridge in the Saarland region is available for monitoring within the frame of the project. Results from local investigations using guided waves and from monitoring field tests with micromagnetic sensors are presented and discussed. The results show the scenarios where the non-destructive methods are applicable and how the results can be used for structural health monitoring and maintenance concepts. More... »

PAGES

285-295

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13349-013-0052-5

DOI

http://dx.doi.org/10.1007/s13349-013-0052-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012095140


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": "Fraunhofer Institute for Nondestructive Testing", 
          "id": "https://www.grid.ac/institutes/grid.469830.0", 
          "name": [
            "Fraunhofer Institute for Nondestructive Testing (IZFP), Campus E3 1, 66123, Saarbr\u00fccken, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kurz", 
        "givenName": "Jochen H.", 
        "id": "sg:person.012650074303.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012650074303.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institut fran\u00e7ais des sciences et technologies des transports, de l\u2019am\u00e9nagement et des r\u00e9seaux (IFSTTAR), Route de Bouaye-CS4, 44344, Bouguenais cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laguerre", 
        "givenName": "Laurent", 
        "id": "sg:person.015725755625.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015725755625.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fraunhofer Institute for Nondestructive Testing", 
          "id": "https://www.grid.ac/institutes/grid.469830.0", 
          "name": [
            "Fraunhofer Institute for Nondestructive Testing (IZFP), Campus E3 1, 66123, Saarbr\u00fccken, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niese", 
        "givenName": "Frank", 
        "id": "sg:person.013016352631.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013016352631.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institut fran\u00e7ais des sciences et technologies des transports, de l\u2019am\u00e9nagement et des r\u00e9seaux (IFSTTAR), Route de Bouaye-CS4, 44344, Bouguenais cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gaillet", 
        "givenName": "Laurent", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fraunhofer Institute for Nondestructive Testing", 
          "id": "https://www.grid.ac/institutes/grid.469830.0", 
          "name": [
            "Fraunhofer Institute for Nondestructive Testing (IZFP), Campus E3 1, 66123, Saarbr\u00fccken, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Szielasko", 
        "givenName": "Klaus", 
        "id": "sg:person.015533512713.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015533512713.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fraunhofer Institute for Nondestructive Testing", 
          "id": "https://www.grid.ac/institutes/grid.469830.0", 
          "name": [
            "Fraunhofer Institute for Nondestructive Testing (IZFP), Campus E3 1, 66123, Saarbr\u00fccken, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tschuncky", 
        "givenName": "Ralf", 
        "id": "sg:person.016453110523.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016453110523.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institut fran\u00e7ais des sciences et technologies des transports, de l\u2019am\u00e9nagement et des r\u00e9seaux (IFSTTAR), Route de Bouaye-CS4, 44344, Bouguenais cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Treyssede", 
        "givenName": "Fabien", 
        "id": "sg:person.013266060535.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013266060535.77"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1117/12.300092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005832530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0950-0618(97)00036-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007683295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0041-624x(03)00097-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010230446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0041-624x(03)00097-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010230446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0041-624x(01)00088-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011016156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0963-8695(03)00065-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017188567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0963-8695(03)00065-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017188567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/12.209768", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017232511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.conbuildmat.2006.04.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019212725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0963-8695(91)90016-v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031883090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0963-8695(91)90016-v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031883090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-72448-3_57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046511047", 
          "https://doi.org/10.1007/978-3-540-72448-3_57"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-72448-3_57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046511047", 
          "https://doi.org/10.1007/978-3-540-72448-3_57"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tuffc.2005.1428048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061808497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1680/stco.2005.6.3.101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068241093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/40889(201)190", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1097223195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4615-3868-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1108501540", 
          "https://doi.org/10.1007/978-1-4615-3868-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4615-3868-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1108501540", 
          "https://doi.org/10.1007/978-1-4615-3868-4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-12", 
    "datePublishedReg": "2013-12-01", 
    "description": "Infrastructure is subject to continuous ageing. This has given life cycle management of infrastructure an increasingly important role. Reliable inspection and monitoring tools are therefore in demand. A reliable prognosis of the condition and behaviour of a structure is an important basis for an effective service life management. Furthermore, traffic loads and loads due to changing environmental conditions increased during the last years and will increase in the future. Repair and maintenance have to be performed, which requires reliable concepts and measurement of data, which is preferably gained through non-destructive methods. Furthermore, infrastructural constructions often have to be reconditioned when they are in use i. e. they cannot be torn down and rebuilt. Therefore, reliable diagnosis of the state of \u2018hot spots\u2019 is required. Within the frame of the Franco-German project FilameNDT steel wires of external tendon ducts and prestressing strands, prestressing rods, and stay cables are investigated. With regards to this field of application, practical relevance can only be gained when easily applicable and long ranging methods are used. The evaluation of extended structural elements using non-contact movable systems {bulk wave and guided wave application [Piezo, electromagnetic acoustic transducers (EMAT)], magnetic flux leakage (MFL), Micromagnetic methods} and those of localized elements based on elastic guided wave propagation\u2014are complementary since they can be applied according to the various accessibility conditions of the tested objects. Inspection and monitoring scenarios were developed, hot spots were identified, and lab tests as well as field tests were carried out. A real cable stayed bridge in the Saarland region is available for monitoring within the frame of the project. Results from local investigations using guided waves and from monitoring field tests with micromagnetic sensors are presented and discussed. The results show the scenarios where the non-destructive methods are applicable and how the results can be used for structural health monitoring and maintenance concepts.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s13349-013-0052-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136689", 
        "issn": [
          "2190-5452", 
          "2190-5479"
        ], 
        "name": "Journal of Civil Structural Health Monitoring", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "name": "NDT for need based maintenance of bridge cables, ropes and pre-stressed elements", 
    "pagination": "285-295", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "39a049785ec8e42fe7d24efdb014c9e9eb33d7c64a14e76654ece244ec71c863"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13349-013-0052-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012095140"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13349-013-0052-5", 
      "https://app.dimensions.ai/details/publication/pub.1012095140"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:08", 
    "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_8681_00000582.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs13349-013-0052-5"
  }
]
 

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/s13349-013-0052-5'

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/s13349-013-0052-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13349-013-0052-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13349-013-0052-5'


 

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

149 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13349-013-0052-5 schema:about anzsrc-for:09
2 anzsrc-for:0905
3 schema:author Nd8c81cbbd0704c2c90c60fadcd3732f8
4 schema:citation sg:pub.10.1007/978-1-4615-3868-4
5 sg:pub.10.1007/978-3-540-72448-3_57
6 https://doi.org/10.1016/0963-8695(91)90016-v
7 https://doi.org/10.1016/j.conbuildmat.2006.04.010
8 https://doi.org/10.1016/s0041-624x(01)00088-9
9 https://doi.org/10.1016/s0041-624x(03)00097-0
10 https://doi.org/10.1016/s0950-0618(97)00036-6
11 https://doi.org/10.1016/s0963-8695(03)00065-3
12 https://doi.org/10.1061/40889(201)190
13 https://doi.org/10.1109/tuffc.2005.1428048
14 https://doi.org/10.1117/12.209768
15 https://doi.org/10.1117/12.300092
16 https://doi.org/10.1680/stco.2005.6.3.101
17 schema:datePublished 2013-12
18 schema:datePublishedReg 2013-12-01
19 schema:description Infrastructure is subject to continuous ageing. This has given life cycle management of infrastructure an increasingly important role. Reliable inspection and monitoring tools are therefore in demand. A reliable prognosis of the condition and behaviour of a structure is an important basis for an effective service life management. Furthermore, traffic loads and loads due to changing environmental conditions increased during the last years and will increase in the future. Repair and maintenance have to be performed, which requires reliable concepts and measurement of data, which is preferably gained through non-destructive methods. Furthermore, infrastructural constructions often have to be reconditioned when they are in use i. e. they cannot be torn down and rebuilt. Therefore, reliable diagnosis of the state of ‘hot spots’ is required. Within the frame of the Franco-German project FilameNDT steel wires of external tendon ducts and prestressing strands, prestressing rods, and stay cables are investigated. With regards to this field of application, practical relevance can only be gained when easily applicable and long ranging methods are used. The evaluation of extended structural elements using non-contact movable systems {bulk wave and guided wave application [Piezo, electromagnetic acoustic transducers (EMAT)], magnetic flux leakage (MFL), Micromagnetic methods} and those of localized elements based on elastic guided wave propagation—are complementary since they can be applied according to the various accessibility conditions of the tested objects. Inspection and monitoring scenarios were developed, hot spots were identified, and lab tests as well as field tests were carried out. A real cable stayed bridge in the Saarland region is available for monitoring within the frame of the project. Results from local investigations using guided waves and from monitoring field tests with micromagnetic sensors are presented and discussed. The results show the scenarios where the non-destructive methods are applicable and how the results can be used for structural health monitoring and maintenance concepts.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N639cd0d96c7b4513bf8d928a1ee7dac7
24 N72c903e2995f46b38e0c17dfbd8890ab
25 sg:journal.1136689
26 schema:name NDT for need based maintenance of bridge cables, ropes and pre-stressed elements
27 schema:pagination 285-295
28 schema:productId Na5f17d6932bd4234af507015f5b65a2a
29 Nadf7eedf537a4f20a973afd793ee3e7d
30 Nc5d9d95551ad441695b918166291f04d
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012095140
32 https://doi.org/10.1007/s13349-013-0052-5
33 schema:sdDatePublished 2019-04-10T20:08
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher Nc7661abdd09a4216895b0a2e46e04763
36 schema:url http://link.springer.com/10.1007%2Fs13349-013-0052-5
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N0c5641393c034891ade26461ebf75338 rdf:first sg:person.013016352631.45
41 rdf:rest Neb1db4070efc4866b12a10c2099016a1
42 N3b9a00e4df7c4044ba1f705a14558b04 rdf:first sg:person.016453110523.67
43 rdf:rest N79ac1b3aa1d44ad7942555ccdd8aad4d
44 N3c206d70c4804aca8d8e3e5ba4fa0753 schema:name Institut français des sciences et technologies des transports, de l’aménagement et des réseaux (IFSTTAR), Route de Bouaye-CS4, 44344, Bouguenais cedex, France
45 rdf:type schema:Organization
46 N46a6446ed9b04f1997258a643763b9cd rdf:first sg:person.015725755625.10
47 rdf:rest N0c5641393c034891ade26461ebf75338
48 N530097903025495bba72fcb90de55925 schema:name Institut français des sciences et technologies des transports, de l’aménagement et des réseaux (IFSTTAR), Route de Bouaye-CS4, 44344, Bouguenais cedex, France
49 rdf:type schema:Organization
50 N639cd0d96c7b4513bf8d928a1ee7dac7 schema:volumeNumber 3
51 rdf:type schema:PublicationVolume
52 N72c903e2995f46b38e0c17dfbd8890ab schema:issueNumber 4
53 rdf:type schema:PublicationIssue
54 N79ac1b3aa1d44ad7942555ccdd8aad4d rdf:first sg:person.013266060535.77
55 rdf:rest rdf:nil
56 Na5f17d6932bd4234af507015f5b65a2a schema:name doi
57 schema:value 10.1007/s13349-013-0052-5
58 rdf:type schema:PropertyValue
59 Nadf7eedf537a4f20a973afd793ee3e7d schema:name dimensions_id
60 schema:value pub.1012095140
61 rdf:type schema:PropertyValue
62 Naf560df0c1484dd482a2051e836d78df rdf:first sg:person.015533512713.81
63 rdf:rest N3b9a00e4df7c4044ba1f705a14558b04
64 Nc5d9d95551ad441695b918166291f04d schema:name readcube_id
65 schema:value 39a049785ec8e42fe7d24efdb014c9e9eb33d7c64a14e76654ece244ec71c863
66 rdf:type schema:PropertyValue
67 Nc7661abdd09a4216895b0a2e46e04763 schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 Nc9c6ae69f4154b4888761527a9965230 schema:name Institut français des sciences et technologies des transports, de l’aménagement et des réseaux (IFSTTAR), Route de Bouaye-CS4, 44344, Bouguenais cedex, France
70 rdf:type schema:Organization
71 Nd7946494009e4999a10b33374fd862eb schema:affiliation Nc9c6ae69f4154b4888761527a9965230
72 schema:familyName Gaillet
73 schema:givenName Laurent
74 rdf:type schema:Person
75 Nd8c81cbbd0704c2c90c60fadcd3732f8 rdf:first sg:person.012650074303.34
76 rdf:rest N46a6446ed9b04f1997258a643763b9cd
77 Neb1db4070efc4866b12a10c2099016a1 rdf:first Nd7946494009e4999a10b33374fd862eb
78 rdf:rest Naf560df0c1484dd482a2051e836d78df
79 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
80 schema:name Engineering
81 rdf:type schema:DefinedTerm
82 anzsrc-for:0905 schema:inDefinedTermSet anzsrc-for:
83 schema:name Civil Engineering
84 rdf:type schema:DefinedTerm
85 sg:journal.1136689 schema:issn 2190-5452
86 2190-5479
87 schema:name Journal of Civil Structural Health Monitoring
88 rdf:type schema:Periodical
89 sg:person.012650074303.34 schema:affiliation https://www.grid.ac/institutes/grid.469830.0
90 schema:familyName Kurz
91 schema:givenName Jochen H.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012650074303.34
93 rdf:type schema:Person
94 sg:person.013016352631.45 schema:affiliation https://www.grid.ac/institutes/grid.469830.0
95 schema:familyName Niese
96 schema:givenName Frank
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013016352631.45
98 rdf:type schema:Person
99 sg:person.013266060535.77 schema:affiliation N530097903025495bba72fcb90de55925
100 schema:familyName Treyssede
101 schema:givenName Fabien
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013266060535.77
103 rdf:type schema:Person
104 sg:person.015533512713.81 schema:affiliation https://www.grid.ac/institutes/grid.469830.0
105 schema:familyName Szielasko
106 schema:givenName Klaus
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015533512713.81
108 rdf:type schema:Person
109 sg:person.015725755625.10 schema:affiliation N3c206d70c4804aca8d8e3e5ba4fa0753
110 schema:familyName Laguerre
111 schema:givenName Laurent
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015725755625.10
113 rdf:type schema:Person
114 sg:person.016453110523.67 schema:affiliation https://www.grid.ac/institutes/grid.469830.0
115 schema:familyName Tschuncky
116 schema:givenName Ralf
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016453110523.67
118 rdf:type schema:Person
119 sg:pub.10.1007/978-1-4615-3868-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1108501540
120 https://doi.org/10.1007/978-1-4615-3868-4
121 rdf:type schema:CreativeWork
122 sg:pub.10.1007/978-3-540-72448-3_57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046511047
123 https://doi.org/10.1007/978-3-540-72448-3_57
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/0963-8695(91)90016-v schema:sameAs https://app.dimensions.ai/details/publication/pub.1031883090
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.conbuildmat.2006.04.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019212725
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/s0041-624x(01)00088-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011016156
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/s0041-624x(03)00097-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010230446
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/s0950-0618(97)00036-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007683295
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/s0963-8695(03)00065-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017188567
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1061/40889(201)190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1097223195
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1109/tuffc.2005.1428048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061808497
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1117/12.209768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017232511
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1117/12.300092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005832530
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1680/stco.2005.6.3.101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068241093
146 rdf:type schema:CreativeWork
147 https://www.grid.ac/institutes/grid.469830.0 schema:alternateName Fraunhofer Institute for Nondestructive Testing
148 schema:name Fraunhofer Institute for Nondestructive Testing (IZFP), Campus E3 1, 66123, Saarbrücken, Germany
149 rdf:type schema:Organization
 




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


...