Characterization of Random Fatigue Loads View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1993

AUTHORS

I. Rychlik

ABSTRACT

The general approach in fatigue life prediction is to relate the fatigue life of a construction, subjected to a random load, to laboratory fatigue experiments of simple specimens subjected to constant amplitude load, so called S-N data. Therefore, it is necessary to define amplitudes of equivalent “load cycles” Sk, which are functions of the sequence of maxima and minima in the load, and assume a damage rule, i.e. a method to measure the damage caused by each simple cycle. More... »

PAGES

35-78

Book

TITLE

Stochastic Approach to Fatigue

ISBN

978-3-211-82452-8
978-3-7091-2622-6

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-7091-2622-6_2

DOI

http://dx.doi.org/10.1007/978-3-7091-2622-6_2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047848209


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/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Lund, Lund, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.4514.4", 
          "name": [
            "University of Lund, Lund, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rychlik", 
        "givenName": "I.", 
        "id": "sg:person.015546022606.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015546022606.95"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1993", 
    "datePublishedReg": "1993-01-01", 
    "description": "The general approach in fatigue life prediction is to relate the fatigue life of a construction, subjected to a random load, to laboratory fatigue experiments of simple specimens subjected to constant amplitude load, so called S-N data. Therefore, it is necessary to define amplitudes of equivalent \u201cload cycles\u201d Sk, which are functions of the sequence of maxima and minima in the load, and assume a damage rule, i.e. a method to measure the damage caused by each simple cycle.", 
    "editor": [
      {
        "familyName": "Sobczyk", 
        "givenName": "K.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-7091-2622-6_2", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-211-82452-8", 
        "978-3-7091-2622-6"
      ], 
      "name": "Stochastic Approach to Fatigue", 
      "type": "Book"
    }, 
    "keywords": [
      "fatigue life prediction", 
      "constant amplitude load", 
      "random fatigue loads", 
      "fatigue loads", 
      "life prediction", 
      "fatigue life", 
      "fatigue experiments", 
      "amplitude loads", 
      "load cycles", 
      "damage rule", 
      "simple specimens", 
      "random loads", 
      "load", 
      "simple cycle", 
      "cycle", 
      "general approach", 
      "specimens", 
      "amplitude", 
      "prediction", 
      "construction", 
      "sequence of maxima", 
      "characterization", 
      "experiments", 
      "method", 
      "maximum", 
      "approach", 
      "minimum", 
      "damage", 
      "rules", 
      "data", 
      "function", 
      "life", 
      "sequence"
    ], 
    "name": "Characterization of Random Fatigue Loads", 
    "pagination": "35-78", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1047848209"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-7091-2622-6_2"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-7091-2622-6_2", 
      "https://app.dimensions.ai/details/publication/pub.1047848209"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-06-01T22:30", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/chapter/chapter_236.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-7091-2622-6_2"
  }
]
 

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.10.1007/978-3-7091-2622-6_2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-7091-2622-6_2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-7091-2622-6_2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-7091-2622-6_2'


 

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

93 TRIPLES      23 PREDICATES      59 URIs      52 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-7091-2622-6_2 schema:about anzsrc-for:01
2 anzsrc-for:0104
3 schema:author N6dacc9a1fc1d45b383188e4c3c926ca3
4 schema:datePublished 1993
5 schema:datePublishedReg 1993-01-01
6 schema:description The general approach in fatigue life prediction is to relate the fatigue life of a construction, subjected to a random load, to laboratory fatigue experiments of simple specimens subjected to constant amplitude load, so called S-N data. Therefore, it is necessary to define amplitudes of equivalent “load cycles” Sk, which are functions of the sequence of maxima and minima in the load, and assume a damage rule, i.e. a method to measure the damage caused by each simple cycle.
7 schema:editor Nbc872e2cfffc4c279c2236db60832cc3
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf Ndf02045fea444248a22cc0a7bae4abac
12 schema:keywords amplitude
13 amplitude loads
14 approach
15 characterization
16 constant amplitude load
17 construction
18 cycle
19 damage
20 damage rule
21 data
22 experiments
23 fatigue experiments
24 fatigue life
25 fatigue life prediction
26 fatigue loads
27 function
28 general approach
29 life
30 life prediction
31 load
32 load cycles
33 maximum
34 method
35 minimum
36 prediction
37 random fatigue loads
38 random loads
39 rules
40 sequence
41 sequence of maxima
42 simple cycle
43 simple specimens
44 specimens
45 schema:name Characterization of Random Fatigue Loads
46 schema:pagination 35-78
47 schema:productId N24f8de97ad4c4af199dd33924fc035ba
48 N526ca47687cb4933ac0cd7a28d52ba44
49 schema:publisher N9dc7f493f58b4cdca3fe265a52960fd0
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047848209
51 https://doi.org/10.1007/978-3-7091-2622-6_2
52 schema:sdDatePublished 2022-06-01T22:30
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher Ne44b7f22601242f986a7311255ab7a16
55 schema:url https://doi.org/10.1007/978-3-7091-2622-6_2
56 sgo:license sg:explorer/license/
57 sgo:sdDataset chapters
58 rdf:type schema:Chapter
59 N24f8de97ad4c4af199dd33924fc035ba schema:name dimensions_id
60 schema:value pub.1047848209
61 rdf:type schema:PropertyValue
62 N526ca47687cb4933ac0cd7a28d52ba44 schema:name doi
63 schema:value 10.1007/978-3-7091-2622-6_2
64 rdf:type schema:PropertyValue
65 N5b2710c99de349c7a253bc6a015bf369 schema:familyName Sobczyk
66 schema:givenName K.
67 rdf:type schema:Person
68 N6dacc9a1fc1d45b383188e4c3c926ca3 rdf:first sg:person.015546022606.95
69 rdf:rest rdf:nil
70 N9dc7f493f58b4cdca3fe265a52960fd0 schema:name Springer Nature
71 rdf:type schema:Organisation
72 Nbc872e2cfffc4c279c2236db60832cc3 rdf:first N5b2710c99de349c7a253bc6a015bf369
73 rdf:rest rdf:nil
74 Ndf02045fea444248a22cc0a7bae4abac schema:isbn 978-3-211-82452-8
75 978-3-7091-2622-6
76 schema:name Stochastic Approach to Fatigue
77 rdf:type schema:Book
78 Ne44b7f22601242f986a7311255ab7a16 schema:name Springer Nature - SN SciGraph project
79 rdf:type schema:Organization
80 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
81 schema:name Mathematical Sciences
82 rdf:type schema:DefinedTerm
83 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
84 schema:name Statistics
85 rdf:type schema:DefinedTerm
86 sg:person.015546022606.95 schema:affiliation grid-institutes:grid.4514.4
87 schema:familyName Rychlik
88 schema:givenName I.
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015546022606.95
90 rdf:type schema:Person
91 grid-institutes:grid.4514.4 schema:alternateName University of Lund, Lund, Sweden
92 schema:name University of Lund, Lund, Sweden
93 rdf:type schema:Organization
 




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


...