A correlation between Schmidt hammer rebound numbers with impact strength index, slake durability index and P-wave velocity View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-01

AUTHORS

P. K. Sharma, Manoj Khandelwal, T. N. Singh

ABSTRACT

The main objective of this study was to establish statistical relationship between Schmidt hammer rebound numbers with impact strength index (ISI), slake durability index (SDI) and P-wave velocity. These are important properties to characterize a rock mass and are being widely used in geological and geotechnical engineering. Due to its importance, Schmidt hammer rebound number is considered as one of the most important property for the determination of other properties, like ISI, SDI and P-wave velocity. Determination of these properties in the laboratory is time consuming and tedious as well as requiring expertise, whereas Schmidt hammer rebound number can be easily obtained on site which in addition is non-destructive. So, in this study, an attempt has been made to determine these index properties in the laboratory and each index property was correlated with Schmidt hammer rebound values. Empirical equations have been developed to predict ISI, SDI and P-wave velocity using rebound values. It was found that Schmidt hammer rebound number shows linear relation with ISI and SDI, whereas exponential relation with P-wave velocity. To check the sensitivity of empirical relations, Student’s t test was done to verify the correlation between rebound values and other rock index properties. More... »

PAGES

189-195

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00531-009-0506-5

DOI

http://dx.doi.org/10.1007/s00531-009-0506-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036151088


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/2008/0914", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Resources Engineering and Extractive Metallurgy", 
        "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": "Geological Survey of India", 
          "id": "https://www.grid.ac/institutes/grid.237422.2", 
          "name": [
            "Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, 400076, Mumbai, India", 
            "Geological Survey of India, 302004, Jaipur, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sharma", 
        "givenName": "P. K.", 
        "id": "sg:person.012543671763.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012543671763.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Maharana Pratap University of Agriculture and Technology", 
          "id": "https://www.grid.ac/institutes/grid.444738.8", 
          "name": [
            "Department of Mining Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, 313001, Udaipur, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khandelwal", 
        "givenName": "Manoj", 
        "id": "sg:person.07445446221.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07445446221.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Technology Bombay", 
          "id": "https://www.grid.ac/institutes/grid.417971.d", 
          "name": [
            "Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, 400076, Mumbai, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Singh", 
        "givenName": "T. N.", 
        "id": "sg:person.012573372613.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012573372613.76"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0148-9062(76)90798-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003328607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0148-9062(76)90798-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003328607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0148-9062(72)90001-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010352129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10064-007-0109-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013717643", 
          "https://doi.org/10.1007/s10064-007-0109-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10064-007-0109-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013717643", 
          "https://doi.org/10.1007/s10064-007-0109-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00254-004-1150-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016178761", 
          "https://doi.org/10.1007/s00254-004-1150-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1365-1609(01)00034-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017476673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0148-9062(84)90008-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031249766"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0148-9062(84)90008-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031249766"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/esp.3290160107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041253819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0148-9062(90)91001-n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046250288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0148-9062(90)91001-n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046250288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0148-9062(80)91363-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046843763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0148-9062(80)91363-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046843763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/esp.3290160510", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049158176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02594977", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051138857", 
          "https://doi.org/10.1007/bf02594977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02594977", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051138857", 
          "https://doi.org/10.1007/bf02594977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2475/ajs.257.9.609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070840157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.21236/ad0646610", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091886336"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-01", 
    "datePublishedReg": "2011-01-01", 
    "description": "The main objective of this study was to establish statistical relationship between Schmidt hammer rebound numbers with impact strength index (ISI), slake durability index (SDI) and P-wave velocity. These are important properties to characterize a rock mass and are being widely used in geological and geotechnical engineering. Due to its importance, Schmidt hammer rebound number is considered as one of the most important property for the determination of other properties, like ISI, SDI and P-wave velocity. Determination of these properties in the laboratory is time consuming and tedious as well as requiring expertise, whereas Schmidt hammer rebound number can be easily obtained on site which in addition is non-destructive. So, in this study, an attempt has been made to determine these index properties in the laboratory and each index property was correlated with Schmidt hammer rebound values. Empirical equations have been developed to predict ISI, SDI and P-wave velocity using rebound values. It was found that Schmidt hammer rebound number shows linear relation with ISI and SDI, whereas exponential relation with P-wave velocity. To check the sensitivity of empirical relations, Student\u2019s t test was done to verify the correlation between rebound values and other rock index properties.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00531-009-0506-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1297490", 
        "issn": [
          "1437-3254", 
          "1432-1149"
        ], 
        "name": "International Journal of Earth Sciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "100"
      }
    ], 
    "name": "A correlation between Schmidt hammer rebound numbers with impact strength index, slake durability index and P-wave velocity", 
    "pagination": "189-195", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ac358ab721d907b937222ab1b57a6f17986ad654e611f99c254554661c361ba7"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00531-009-0506-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036151088"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00531-009-0506-5", 
      "https://app.dimensions.ai/details/publication/pub.1036151088"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:04", 
    "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_8678_00000489.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00531-009-0506-5"
  }
]
 

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/s00531-009-0506-5'

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/s00531-009-0506-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00531-009-0506-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00531-009-0506-5'


 

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

124 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00531-009-0506-5 schema:about anzsrc-for:09
2 anzsrc-for:0914
3 schema:author N6c2a23f3a6ec46b790da2247c8572bca
4 schema:citation sg:pub.10.1007/bf02594977
5 sg:pub.10.1007/s00254-004-1150-9
6 sg:pub.10.1007/s10064-007-0109-y
7 https://doi.org/10.1002/esp.3290160107
8 https://doi.org/10.1002/esp.3290160510
9 https://doi.org/10.1016/0148-9062(72)90001-0
10 https://doi.org/10.1016/0148-9062(76)90798-1
11 https://doi.org/10.1016/0148-9062(80)91363-7
12 https://doi.org/10.1016/0148-9062(84)90008-1
13 https://doi.org/10.1016/0148-9062(90)91001-n
14 https://doi.org/10.1016/s1365-1609(01)00034-x
15 https://doi.org/10.21236/ad0646610
16 https://doi.org/10.2475/ajs.257.9.609
17 schema:datePublished 2011-01
18 schema:datePublishedReg 2011-01-01
19 schema:description The main objective of this study was to establish statistical relationship between Schmidt hammer rebound numbers with impact strength index (ISI), slake durability index (SDI) and P-wave velocity. These are important properties to characterize a rock mass and are being widely used in geological and geotechnical engineering. Due to its importance, Schmidt hammer rebound number is considered as one of the most important property for the determination of other properties, like ISI, SDI and P-wave velocity. Determination of these properties in the laboratory is time consuming and tedious as well as requiring expertise, whereas Schmidt hammer rebound number can be easily obtained on site which in addition is non-destructive. So, in this study, an attempt has been made to determine these index properties in the laboratory and each index property was correlated with Schmidt hammer rebound values. Empirical equations have been developed to predict ISI, SDI and P-wave velocity using rebound values. It was found that Schmidt hammer rebound number shows linear relation with ISI and SDI, whereas exponential relation with P-wave velocity. To check the sensitivity of empirical relations, Student’s t test was done to verify the correlation between rebound values and other rock index properties.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N9986d0a3428846f0ad03a0b6eefa640b
24 Nc9199c0831ba41df8c838b78da6f632d
25 sg:journal.1297490
26 schema:name A correlation between Schmidt hammer rebound numbers with impact strength index, slake durability index and P-wave velocity
27 schema:pagination 189-195
28 schema:productId N63dac8e41bf942ef9c4bbd3459b881a2
29 Ne4d53a4c795e432bbf3dbb35c793704e
30 Nfc49d65089184801aceb8fa22eac1564
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036151088
32 https://doi.org/10.1007/s00531-009-0506-5
33 schema:sdDatePublished 2019-04-10T19:04
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N9ffa2fa3517f472f986993d76db6e93c
36 schema:url http://link.springer.com/10.1007/s00531-009-0506-5
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N58fa51686857418da18068a772d05733 rdf:first sg:person.07445446221.06
41 rdf:rest Nffd92491bc55441599b561555d0a5494
42 N63dac8e41bf942ef9c4bbd3459b881a2 schema:name doi
43 schema:value 10.1007/s00531-009-0506-5
44 rdf:type schema:PropertyValue
45 N6c2a23f3a6ec46b790da2247c8572bca rdf:first sg:person.012543671763.60
46 rdf:rest N58fa51686857418da18068a772d05733
47 N9986d0a3428846f0ad03a0b6eefa640b schema:volumeNumber 100
48 rdf:type schema:PublicationVolume
49 N9ffa2fa3517f472f986993d76db6e93c schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 Nc9199c0831ba41df8c838b78da6f632d schema:issueNumber 1
52 rdf:type schema:PublicationIssue
53 Ne4d53a4c795e432bbf3dbb35c793704e schema:name dimensions_id
54 schema:value pub.1036151088
55 rdf:type schema:PropertyValue
56 Nfc49d65089184801aceb8fa22eac1564 schema:name readcube_id
57 schema:value ac358ab721d907b937222ab1b57a6f17986ad654e611f99c254554661c361ba7
58 rdf:type schema:PropertyValue
59 Nffd92491bc55441599b561555d0a5494 rdf:first sg:person.012573372613.76
60 rdf:rest rdf:nil
61 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
62 schema:name Engineering
63 rdf:type schema:DefinedTerm
64 anzsrc-for:0914 schema:inDefinedTermSet anzsrc-for:
65 schema:name Resources Engineering and Extractive Metallurgy
66 rdf:type schema:DefinedTerm
67 sg:journal.1297490 schema:issn 1432-1149
68 1437-3254
69 schema:name International Journal of Earth Sciences
70 rdf:type schema:Periodical
71 sg:person.012543671763.60 schema:affiliation https://www.grid.ac/institutes/grid.237422.2
72 schema:familyName Sharma
73 schema:givenName P. K.
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012543671763.60
75 rdf:type schema:Person
76 sg:person.012573372613.76 schema:affiliation https://www.grid.ac/institutes/grid.417971.d
77 schema:familyName Singh
78 schema:givenName T. N.
79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012573372613.76
80 rdf:type schema:Person
81 sg:person.07445446221.06 schema:affiliation https://www.grid.ac/institutes/grid.444738.8
82 schema:familyName Khandelwal
83 schema:givenName Manoj
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07445446221.06
85 rdf:type schema:Person
86 sg:pub.10.1007/bf02594977 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051138857
87 https://doi.org/10.1007/bf02594977
88 rdf:type schema:CreativeWork
89 sg:pub.10.1007/s00254-004-1150-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016178761
90 https://doi.org/10.1007/s00254-004-1150-9
91 rdf:type schema:CreativeWork
92 sg:pub.10.1007/s10064-007-0109-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1013717643
93 https://doi.org/10.1007/s10064-007-0109-y
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1002/esp.3290160107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041253819
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1002/esp.3290160510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049158176
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/0148-9062(72)90001-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010352129
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/0148-9062(76)90798-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003328607
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/0148-9062(80)91363-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046843763
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/0148-9062(84)90008-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031249766
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/0148-9062(90)91001-n schema:sameAs https://app.dimensions.ai/details/publication/pub.1046250288
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/s1365-1609(01)00034-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017476673
110 rdf:type schema:CreativeWork
111 https://doi.org/10.21236/ad0646610 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091886336
112 rdf:type schema:CreativeWork
113 https://doi.org/10.2475/ajs.257.9.609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070840157
114 rdf:type schema:CreativeWork
115 https://www.grid.ac/institutes/grid.237422.2 schema:alternateName Geological Survey of India
116 schema:name Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, 400076, Mumbai, India
117 Geological Survey of India, 302004, Jaipur, India
118 rdf:type schema:Organization
119 https://www.grid.ac/institutes/grid.417971.d schema:alternateName Indian Institute of Technology Bombay
120 schema:name Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, 400076, Mumbai, India
121 rdf:type schema:Organization
122 https://www.grid.ac/institutes/grid.444738.8 schema:alternateName Maharana Pratap University of Agriculture and Technology
123 schema:name Department of Mining Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, 313001, Udaipur, India
124 rdf:type schema:Organization
 




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


...