Effects of Sand Sizes on Engineering Properties of Tropical Sand Matrix Soils View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-10-28

AUTHORS

Aminaton Marto , Bakhtiar Affandy Othman

ABSTRACT

This paper presents an experimental study focusing on the effects of various sizes of sand on the engineering properties of tropical sand matrix soils, particularly the undrained shear strength. Static triaxial tests on reconstituted samples of sand with 0, 10, 20, 30, and 40% of low plasticity fines content by weight were carried out using GDS ELDYN® triaxial machine. The tests were performed on tropical specimens of three different sizes of sand (coarse, medium, and fine sand) which were mixed with kaolin as the fines content. Samples were tested at 15% relative density under two effective confining pressures of 100 kPa and 200 kPa, respectively. From the results of Consolidated Undrained Triaxial tests, the Critical State Line of the sand matrix soils with different sizes of sand had been developed. Based on the results from stress path diagram, the critical state parameters of sand matrix soils, represented by the critical stress ratio, M, are found to range from 1.41 to 1.35 for coarse, 1.38 to 1.29 for medium, and 1.30 to 1.25 for fine sand matrix soils. The maximum particle density was achieved at lower values of fines content for medium and fine sand matrix soils compared to coarse sand matrix soil. The sand size affects the maximum and minimum void ratio of sand matrix soils. At the same fines content, the void ratio of sand matrix soils increased as the sand size decreased. More... »

PAGES

203-213

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-01941-9_18

DOI

http://dx.doi.org/10.1007/978-3-030-01941-9_18

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107870512


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/2008/05", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0503", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Soil Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia", 
          "id": "http://www.grid.ac/institutes/grid.410877.d", 
          "name": [
            "Disaster Preparedness and Prevention Centre, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, 54100, Kuala Lumpur, Malaysia", 
            "Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marto", 
        "givenName": "Aminaton", 
        "id": "sg:person.01200512774.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200512774.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia", 
          "id": "http://www.grid.ac/institutes/grid.410877.d", 
          "name": [
            "Disaster Preparedness and Prevention Centre, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, 54100, Kuala Lumpur, Malaysia", 
            "Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Othman", 
        "givenName": "Bakhtiar Affandy", 
        "id": "sg:person.013553270661.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013553270661.20"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2018-10-28", 
    "datePublishedReg": "2018-10-28", 
    "description": "This paper presents an experimental study focusing on the effects of various sizes of sand on the engineering properties of tropical sand matrix soils, particularly the undrained shear strength. Static triaxial tests on reconstituted samples of sand with 0, 10, 20, 30, and 40% of low plasticity fines content by weight were carried out using GDS ELDYN\u00ae triaxial machine. The tests were performed on tropical specimens of three different sizes of sand (coarse, medium, and fine sand) which were mixed with kaolin as the fines content. Samples were tested at 15% relative density under two effective confining pressures of 100\u00a0kPa and 200\u00a0kPa, respectively. From the results of Consolidated Undrained Triaxial tests, the Critical State Line of the sand matrix soils with different sizes of sand had been developed. Based on the results from stress path diagram, the critical state parameters of sand matrix soils, represented by the critical stress ratio, M, are found to range from 1.41 to 1.35 for coarse, 1.38 to 1.29 for medium, and 1.30 to 1.25 for fine sand matrix soils. The maximum particle density was achieved at lower values of fines content for medium and fine sand matrix soils compared to coarse sand matrix soil. The sand size affects the maximum and minimum void ratio of sand matrix soils. At the same fines content, the void ratio of sand matrix soils increased as the sand size decreased.", 
    "editor": [
      {
        "familyName": "Hemeda", 
        "givenName": "Sayed", 
        "type": "Person"
      }, 
      {
        "familyName": "Bouassida", 
        "givenName": "Mounir", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-030-01941-9_18", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-030-01940-2", 
        "978-3-030-01941-9"
      ], 
      "name": "Contemporary Issues in Soil Mechanics", 
      "type": "Book"
    }, 
    "keywords": [
      "fines content", 
      "engineering properties", 
      "sand matrix soils", 
      "sand size", 
      "triaxial tests", 
      "void ratio", 
      "sand matrix", 
      "same fines content", 
      "static triaxial tests", 
      "consolidated undrained triaxial tests", 
      "undrained triaxial tests", 
      "sizes of sand", 
      "effective confining pressure", 
      "minimum void ratio", 
      "undrained shear strength", 
      "critical stress ratio", 
      "shear strength", 
      "triaxial machine", 
      "stress ratio", 
      "relative density", 
      "confining pressure", 
      "critical state line", 
      "critical state parameters", 
      "maximum particle density", 
      "particle density", 
      "different sizes", 
      "matrix soils", 
      "experimental study", 
      "sand", 
      "properties", 
      "samples of sand", 
      "state line", 
      "state parameters", 
      "density", 
      "matrix", 
      "lower values", 
      "size", 
      "strength", 
      "kaolin", 
      "test", 
      "ratio", 
      "content", 
      "soil", 
      "machine", 
      "parameters", 
      "specimens", 
      "pressure", 
      "results", 
      "effect", 
      "diagram", 
      "samples", 
      "medium", 
      "values", 
      "study", 
      "lines", 
      "weight", 
      "path diagram", 
      "paper", 
      "tropical specimens", 
      "tropical sand matrix soils", 
      "low plasticity fines content", 
      "plasticity fines content", 
      "GDS ELDYN", 
      "ELDYN", 
      "stress path diagram", 
      "fine sand matrix soils", 
      "Tropical Sand Matrix"
    ], 
    "name": "Effects of Sand Sizes on Engineering Properties of Tropical Sand Matrix Soils", 
    "pagination": "203-213", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107870512"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-030-01941-9_18"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-030-01941-9_18", 
      "https://app.dimensions.ai/details/publication/pub.1107870512"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2021-11-01T19:03", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/chapter/chapter_90.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-030-01941-9_18"
  }
]
 

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.10.1007/978-3-030-01941-9_18'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-01941-9_18'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-01941-9_18'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-01941-9_18'


 

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

140 TRIPLES      23 PREDICATES      92 URIs      85 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-030-01941-9_18 schema:about anzsrc-for:05
2 anzsrc-for:0503
3 schema:author Nb04308d277ed4ef3ad36f7cc7274b9f3
4 schema:datePublished 2018-10-28
5 schema:datePublishedReg 2018-10-28
6 schema:description This paper presents an experimental study focusing on the effects of various sizes of sand on the engineering properties of tropical sand matrix soils, particularly the undrained shear strength. Static triaxial tests on reconstituted samples of sand with 0, 10, 20, 30, and 40% of low plasticity fines content by weight were carried out using GDS ELDYN® triaxial machine. The tests were performed on tropical specimens of three different sizes of sand (coarse, medium, and fine sand) which were mixed with kaolin as the fines content. Samples were tested at 15% relative density under two effective confining pressures of 100 kPa and 200 kPa, respectively. From the results of Consolidated Undrained Triaxial tests, the Critical State Line of the sand matrix soils with different sizes of sand had been developed. Based on the results from stress path diagram, the critical state parameters of sand matrix soils, represented by the critical stress ratio, M, are found to range from 1.41 to 1.35 for coarse, 1.38 to 1.29 for medium, and 1.30 to 1.25 for fine sand matrix soils. The maximum particle density was achieved at lower values of fines content for medium and fine sand matrix soils compared to coarse sand matrix soil. The sand size affects the maximum and minimum void ratio of sand matrix soils. At the same fines content, the void ratio of sand matrix soils increased as the sand size decreased.
7 schema:editor Nffcd7f96f05e416b97d7df24ce660a62
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N4fd7562d736f4879b3b8452233d2e0f9
12 schema:keywords ELDYN
13 GDS ELDYN
14 Tropical Sand Matrix
15 confining pressure
16 consolidated undrained triaxial tests
17 content
18 critical state line
19 critical state parameters
20 critical stress ratio
21 density
22 diagram
23 different sizes
24 effect
25 effective confining pressure
26 engineering properties
27 experimental study
28 fine sand matrix soils
29 fines content
30 kaolin
31 lines
32 low plasticity fines content
33 lower values
34 machine
35 matrix
36 matrix soils
37 maximum particle density
38 medium
39 minimum void ratio
40 paper
41 parameters
42 particle density
43 path diagram
44 plasticity fines content
45 pressure
46 properties
47 ratio
48 relative density
49 results
50 same fines content
51 samples
52 samples of sand
53 sand
54 sand matrix
55 sand matrix soils
56 sand size
57 shear strength
58 size
59 sizes of sand
60 soil
61 specimens
62 state line
63 state parameters
64 static triaxial tests
65 strength
66 stress path diagram
67 stress ratio
68 study
69 test
70 triaxial machine
71 triaxial tests
72 tropical sand matrix soils
73 tropical specimens
74 undrained shear strength
75 undrained triaxial tests
76 values
77 void ratio
78 weight
79 schema:name Effects of Sand Sizes on Engineering Properties of Tropical Sand Matrix Soils
80 schema:pagination 203-213
81 schema:productId N2cdeefa984d348f186decac3ae6a9bc7
82 Nad2f0a4ca79f4a868d95d23529562023
83 schema:publisher N0ce41cfdf81a4587be8d72a3122d2d07
84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107870512
85 https://doi.org/10.1007/978-3-030-01941-9_18
86 schema:sdDatePublished 2021-11-01T19:03
87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
88 schema:sdPublisher Nd6d72c9ea5734c07b4a90d88181be80c
89 schema:url https://doi.org/10.1007/978-3-030-01941-9_18
90 sgo:license sg:explorer/license/
91 sgo:sdDataset chapters
92 rdf:type schema:Chapter
93 N0ce41cfdf81a4587be8d72a3122d2d07 schema:name Springer Nature
94 rdf:type schema:Organisation
95 N2cdeefa984d348f186decac3ae6a9bc7 schema:name doi
96 schema:value 10.1007/978-3-030-01941-9_18
97 rdf:type schema:PropertyValue
98 N4fd7562d736f4879b3b8452233d2e0f9 schema:isbn 978-3-030-01940-2
99 978-3-030-01941-9
100 schema:name Contemporary Issues in Soil Mechanics
101 rdf:type schema:Book
102 N595d7bed406c44b1b4eaa4959fe2bd1e schema:familyName Bouassida
103 schema:givenName Mounir
104 rdf:type schema:Person
105 N9fef976d5d974ce3984a5dc0240022d3 rdf:first N595d7bed406c44b1b4eaa4959fe2bd1e
106 rdf:rest rdf:nil
107 Na1dd242f997441b0a25c2b7a902525a6 schema:familyName Hemeda
108 schema:givenName Sayed
109 rdf:type schema:Person
110 Nad2f0a4ca79f4a868d95d23529562023 schema:name dimensions_id
111 schema:value pub.1107870512
112 rdf:type schema:PropertyValue
113 Nb04308d277ed4ef3ad36f7cc7274b9f3 rdf:first sg:person.01200512774.84
114 rdf:rest Nb51055e43c634a09aa4ceb769051b034
115 Nb51055e43c634a09aa4ceb769051b034 rdf:first sg:person.013553270661.20
116 rdf:rest rdf:nil
117 Nd6d72c9ea5734c07b4a90d88181be80c schema:name Springer Nature - SN SciGraph project
118 rdf:type schema:Organization
119 Nffcd7f96f05e416b97d7df24ce660a62 rdf:first Na1dd242f997441b0a25c2b7a902525a6
120 rdf:rest N9fef976d5d974ce3984a5dc0240022d3
121 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
122 schema:name Environmental Sciences
123 rdf:type schema:DefinedTerm
124 anzsrc-for:0503 schema:inDefinedTermSet anzsrc-for:
125 schema:name Soil Sciences
126 rdf:type schema:DefinedTerm
127 sg:person.01200512774.84 schema:affiliation grid-institutes:grid.410877.d
128 schema:familyName Marto
129 schema:givenName Aminaton
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200512774.84
131 rdf:type schema:Person
132 sg:person.013553270661.20 schema:affiliation grid-institutes:grid.410877.d
133 schema:familyName Othman
134 schema:givenName Bakhtiar Affandy
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013553270661.20
136 rdf:type schema:Person
137 grid-institutes:grid.410877.d schema:alternateName Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia
138 schema:name Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia
139 Disaster Preparedness and Prevention Centre, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, 54100, Kuala Lumpur, Malaysia
140 rdf:type schema:Organization
 




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


...