Predicting the stress-strain behavior of contractive and dilative materials using Gaussian process regression Article Swipe
Emerzon S. Torres
,
Reggie C. Gustilo
,
Mary Ann Adajar
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1063/5.0193446
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1063/5.0193446
Sustainability urges the construction industry to search for alternative but suitable materials. To evaluate the applicability of these materials, engineers should conduct tests and predictive models. Shear stress – strain behavior of soils and geo-materials is important in the analysis of slope stability of embankment. Dilative and contractive phases are encountered in sandy and non-plastic types of material. While constitutive models are commonly used to predict the behavior of these materials, these models require laborious parameter determination and complex predictive equations. In this paper, the shear strength behavior of dilative and contractive materials, specifically mine tailings, were simulated using Gaussian process regression (GPR) machine learning. Three types of mine tailings tested under the direct shear apparatus were considered. The model predictors included five vertical stresses (KPa), three initial relative densities (%), and the shear strain (%) while the responses were the shear stress (KPa) and the volumetric strain (%). Results show that the GPR models provide good prediction of the shear stress – strain and volume change curves of the three mine tailings both for dilative and contractive samples with 98-99% accuracy on independent experiment data.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1063/5.0193446
- https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0193446/19581199/030056_1_5.0193446.pdf
- OA Status
- bronze
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391639192
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4391639192Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1063/5.0193446Digital Object Identifier
- Title
-
Predicting the stress-strain behavior of contractive and dilative materials using Gaussian process regressionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Emerzon S. Torres, Reggie C. Gustilo, Mary Ann AdajarList of authors in order
- Landing page
-
https://doi.org/10.1063/5.0193446Publisher landing page
- PDF URL
-
https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0193446/19581199/030056_1_5.0193446.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0193446/19581199/030056_1_5.0193446.pdfDirect OA link when available
- Concepts
-
Geotechnical engineering, Tailings, Shear stress, Tailings dam, Direct shear test, Shear (geology), Shear strength (soil), Gaussian, Gaussian process, Geology, Materials science, Soil water, Soil science, Composite material, Quantum mechanics, Metallurgy, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
12Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4391639192 |
|---|---|
| doi | https://doi.org/10.1063/5.0193446 |
| ids.doi | https://doi.org/10.1063/5.0193446 |
| ids.openalex | https://openalex.org/W4391639192 |
| fwci | 0.0 |
| type | article |
| title | Predicting the stress-strain behavior of contractive and dilative materials using Gaussian process regression |
| biblio.issue | |
| biblio.volume | 3050 |
| biblio.last_page | 030056 |
| biblio.first_page | 030056 |
| topics[0].id | https://openalex.org/T11375 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9984999895095825 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2205 |
| topics[0].subfield.display_name | Civil and Structural Engineering |
| topics[0].display_name | Geotechnical Engineering and Soil Stabilization |
| topics[1].id | https://openalex.org/T11046 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9976999759674072 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2213 |
| topics[1].subfield.display_name | Safety, Risk, Reliability and Quality |
| topics[1].display_name | Geotechnical Engineering and Analysis |
| topics[2].id | https://openalex.org/T10233 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9976000189781189 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2205 |
| topics[2].subfield.display_name | Civil and Structural Engineering |
| topics[2].display_name | Geotechnical Engineering and Soil Mechanics |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C187320778 |
| concepts[0].level | 1 |
| concepts[0].score | 0.6713564991950989 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1349130 |
| concepts[0].display_name | Geotechnical engineering |
| concepts[1].id | https://openalex.org/C5166401 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6209397315979004 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1784525 |
| concepts[1].display_name | Tailings |
| concepts[2].id | https://openalex.org/C21141959 |
| concepts[2].level | 2 |
| concepts[2].score | 0.614978551864624 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q657936 |
| concepts[2].display_name | Shear stress |
| concepts[3].id | https://openalex.org/C2776648687 |
| concepts[3].level | 3 |
| concepts[3].score | 0.5723684430122375 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q4496980 |
| concepts[3].display_name | Tailings dam |
| concepts[4].id | https://openalex.org/C41151612 |
| concepts[4].level | 3 |
| concepts[4].score | 0.5186864137649536 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q5280388 |
| concepts[4].display_name | Direct shear test |
| concepts[5].id | https://openalex.org/C96035792 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5176382660865784 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q43606218 |
| concepts[5].display_name | Shear (geology) |
| concepts[6].id | https://openalex.org/C127893833 |
| concepts[6].level | 3 |
| concepts[6].score | 0.4438975155353546 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q7492185 |
| concepts[6].display_name | Shear strength (soil) |
| concepts[7].id | https://openalex.org/C163716315 |
| concepts[7].level | 2 |
| concepts[7].score | 0.43811342120170593 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q901177 |
| concepts[7].display_name | Gaussian |
| concepts[8].id | https://openalex.org/C61326573 |
| concepts[8].level | 3 |
| concepts[8].score | 0.43307745456695557 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1496376 |
| concepts[8].display_name | Gaussian process |
| concepts[9].id | https://openalex.org/C127313418 |
| concepts[9].level | 0 |
| concepts[9].score | 0.4110296070575714 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[9].display_name | Geology |
| concepts[10].id | https://openalex.org/C192562407 |
| concepts[10].level | 0 |
| concepts[10].score | 0.35264450311660767 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q228736 |
| concepts[10].display_name | Materials science |
| concepts[11].id | https://openalex.org/C159750122 |
| concepts[11].level | 2 |
| concepts[11].score | 0.20245197415351868 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q96621023 |
| concepts[11].display_name | Soil water |
| concepts[12].id | https://openalex.org/C159390177 |
| concepts[12].level | 1 |
| concepts[12].score | 0.18776893615722656 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q9161265 |
| concepts[12].display_name | Soil science |
| concepts[13].id | https://openalex.org/C159985019 |
| concepts[13].level | 1 |
| concepts[13].score | 0.1627161204814911 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q181790 |
| concepts[13].display_name | Composite material |
| concepts[14].id | https://openalex.org/C62520636 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[14].display_name | Quantum mechanics |
| concepts[15].id | https://openalex.org/C191897082 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q11467 |
| concepts[15].display_name | Metallurgy |
| concepts[16].id | https://openalex.org/C121332964 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[16].display_name | Physics |
| keywords[0].id | https://openalex.org/keywords/geotechnical-engineering |
| keywords[0].score | 0.6713564991950989 |
| keywords[0].display_name | Geotechnical engineering |
| keywords[1].id | https://openalex.org/keywords/tailings |
| keywords[1].score | 0.6209397315979004 |
| keywords[1].display_name | Tailings |
| keywords[2].id | https://openalex.org/keywords/shear-stress |
| keywords[2].score | 0.614978551864624 |
| keywords[2].display_name | Shear stress |
| keywords[3].id | https://openalex.org/keywords/tailings-dam |
| keywords[3].score | 0.5723684430122375 |
| keywords[3].display_name | Tailings dam |
| keywords[4].id | https://openalex.org/keywords/direct-shear-test |
| keywords[4].score | 0.5186864137649536 |
| keywords[4].display_name | Direct shear test |
| keywords[5].id | https://openalex.org/keywords/shear |
| keywords[5].score | 0.5176382660865784 |
| keywords[5].display_name | Shear (geology) |
| keywords[6].id | https://openalex.org/keywords/shear-strength |
| keywords[6].score | 0.4438975155353546 |
| keywords[6].display_name | Shear strength (soil) |
| keywords[7].id | https://openalex.org/keywords/gaussian |
| keywords[7].score | 0.43811342120170593 |
| keywords[7].display_name | Gaussian |
| keywords[8].id | https://openalex.org/keywords/gaussian-process |
| keywords[8].score | 0.43307745456695557 |
| keywords[8].display_name | Gaussian process |
| keywords[9].id | https://openalex.org/keywords/geology |
| keywords[9].score | 0.4110296070575714 |
| keywords[9].display_name | Geology |
| keywords[10].id | https://openalex.org/keywords/materials-science |
| keywords[10].score | 0.35264450311660767 |
| keywords[10].display_name | Materials science |
| keywords[11].id | https://openalex.org/keywords/soil-water |
| keywords[11].score | 0.20245197415351868 |
| keywords[11].display_name | Soil water |
| keywords[12].id | https://openalex.org/keywords/soil-science |
| keywords[12].score | 0.18776893615722656 |
| keywords[12].display_name | Soil science |
| keywords[13].id | https://openalex.org/keywords/composite-material |
| keywords[13].score | 0.1627161204814911 |
| keywords[13].display_name | Composite material |
| language | en |
| locations[0].id | doi:10.1063/5.0193446 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2764696622 |
| locations[0].source.issn | 0094-243X, 1551-7616, 1935-0465 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0094-243X |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | AIP conference proceedings |
| locations[0].source.host_organization | https://openalex.org/P4310320257 |
| locations[0].source.host_organization_name | American Institute of Physics |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320257 |
| locations[0].source.host_organization_lineage_names | American Institute of Physics |
| locations[0].license | |
| locations[0].pdf_url | https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0193446/19581199/030056_1_5.0193446.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | AIP Conference Proceedings |
| locations[0].landing_page_url | https://doi.org/10.1063/5.0193446 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5064806783 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-6692-8050 |
| authorships[0].author.display_name | Emerzon S. Torres |
| authorships[0].countries | PH |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I5996616 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Civil Engineering, De La Salle University, Manila, Philippines |
| authorships[0].institutions[0].id | https://openalex.org/I5996616 |
| authorships[0].institutions[0].ror | https://ror.org/04xftk194 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I5996616 |
| authorships[0].institutions[0].country_code | PH |
| authorships[0].institutions[0].display_name | De La Salle University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Emerzon Torres |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Civil Engineering, De La Salle University, Manila, Philippines |
| authorships[1].author.id | https://openalex.org/A5054894195 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Reggie C. Gustilo |
| authorships[1].countries | PH |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I5996616 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Electronics and Computer Engineering, De La Salle University, Manila, Philippines |
| authorships[1].institutions[0].id | https://openalex.org/I5996616 |
| authorships[1].institutions[0].ror | https://ror.org/04xftk194 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I5996616 |
| authorships[1].institutions[0].country_code | PH |
| authorships[1].institutions[0].display_name | De La Salle University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Reggie Gustilo |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Electronics and Computer Engineering, De La Salle University, Manila, Philippines |
| authorships[2].author.id | https://openalex.org/A5025679387 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3668-6986 |
| authorships[2].author.display_name | Mary Ann Adajar |
| authorships[2].countries | PH |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I5996616 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Civil Engineering, De La Salle University, Manila, Philippines |
| authorships[2].institutions[0].id | https://openalex.org/I5996616 |
| authorships[2].institutions[0].ror | https://ror.org/04xftk194 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I5996616 |
| authorships[2].institutions[0].country_code | PH |
| authorships[2].institutions[0].display_name | De La Salle University |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Mary Ann Adajar |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Civil Engineering, De La Salle University, Manila, Philippines |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0193446/19581199/030056_1_5.0193446.pdf |
| open_access.oa_status | bronze |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Predicting the stress-strain behavior of contractive and dilative materials using Gaussian process regression |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11375 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9984999895095825 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2205 |
| primary_topic.subfield.display_name | Civil and Structural Engineering |
| primary_topic.display_name | Geotechnical Engineering and Soil Stabilization |
| related_works | https://openalex.org/W2380205111, https://openalex.org/W2358165800, https://openalex.org/W171835235, https://openalex.org/W3020541417, https://openalex.org/W2362318400, https://openalex.org/W2613808696, https://openalex.org/W2525683922, https://openalex.org/W2374482360, https://openalex.org/W2016347042, https://openalex.org/W4230682393 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1063/5.0193446 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764696622 |
| best_oa_location.source.issn | 0094-243X, 1551-7616, 1935-0465 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 0094-243X |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | AIP conference proceedings |
| best_oa_location.source.host_organization | https://openalex.org/P4310320257 |
| best_oa_location.source.host_organization_name | American Institute of Physics |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320257 |
| best_oa_location.source.host_organization_lineage_names | American Institute of Physics |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0193446/19581199/030056_1_5.0193446.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | AIP Conference Proceedings |
| best_oa_location.landing_page_url | https://doi.org/10.1063/5.0193446 |
| primary_location.id | doi:10.1063/5.0193446 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2764696622 |
| primary_location.source.issn | 0094-243X, 1551-7616, 1935-0465 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0094-243X |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | AIP conference proceedings |
| primary_location.source.host_organization | https://openalex.org/P4310320257 |
| primary_location.source.host_organization_name | American Institute of Physics |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320257 |
| primary_location.source.host_organization_lineage_names | American Institute of Physics |
| primary_location.license | |
| primary_location.pdf_url | https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0193446/19581199/030056_1_5.0193446.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | AIP Conference Proceedings |
| primary_location.landing_page_url | https://doi.org/10.1063/5.0193446 |
| publication_date | 2024-01-01 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2499968144, https://openalex.org/W3134907689, https://openalex.org/W2744108653, https://openalex.org/W2977663554, https://openalex.org/W2722352549, https://openalex.org/W1970499230, https://openalex.org/W2120924773, https://openalex.org/W4221112090, https://openalex.org/W2116885632, https://openalex.org/W2147829597, https://openalex.org/W3047086266, https://openalex.org/W2890788520 |
| referenced_works_count | 12 |
| abstract_inverted_index.In | 81 |
| abstract_inverted_index.To | 12 |
| abstract_inverted_index.in | 37, 51 |
| abstract_inverted_index.is | 35 |
| abstract_inverted_index.of | 16, 31, 40, 43, 56, 68, 88, 107, 158, 168 |
| abstract_inverted_index.on | 182 |
| abstract_inverted_index.to | 5, 64 |
| abstract_inverted_index.(%) | 135 |
| abstract_inverted_index.GPR | 153 |
| abstract_inverted_index.The | 118 |
| abstract_inverted_index.and | 23, 33, 46, 53, 77, 90, 131, 144, 164, 176 |
| abstract_inverted_index.are | 49, 61 |
| abstract_inverted_index.but | 9 |
| abstract_inverted_index.for | 7, 174 |
| abstract_inverted_index.the | 2, 14, 38, 66, 84, 112, 132, 137, 140, 145, 152, 159, 169 |
| abstract_inverted_index.– | 28, 162 |
| abstract_inverted_index.(%), | 130 |
| abstract_inverted_index.(%). | 148 |
| abstract_inverted_index.both | 173 |
| abstract_inverted_index.five | 122 |
| abstract_inverted_index.good | 156 |
| abstract_inverted_index.mine | 94, 108, 171 |
| abstract_inverted_index.show | 150 |
| abstract_inverted_index.that | 151 |
| abstract_inverted_index.this | 82 |
| abstract_inverted_index.used | 63 |
| abstract_inverted_index.were | 96, 116, 139 |
| abstract_inverted_index.with | 179 |
| abstract_inverted_index.(GPR) | 102 |
| abstract_inverted_index.(KPa) | 143 |
| abstract_inverted_index.Shear | 26 |
| abstract_inverted_index.Three | 105 |
| abstract_inverted_index.While | 58 |
| abstract_inverted_index.data. | 185 |
| abstract_inverted_index.model | 119 |
| abstract_inverted_index.sandy | 52 |
| abstract_inverted_index.shear | 85, 114, 133, 141, 160 |
| abstract_inverted_index.slope | 41 |
| abstract_inverted_index.soils | 32 |
| abstract_inverted_index.tests | 22 |
| abstract_inverted_index.these | 17, 69, 71 |
| abstract_inverted_index.three | 126, 170 |
| abstract_inverted_index.types | 55, 106 |
| abstract_inverted_index.under | 111 |
| abstract_inverted_index.urges | 1 |
| abstract_inverted_index.using | 98 |
| abstract_inverted_index.while | 136 |
| abstract_inverted_index.(KPa), | 125 |
| abstract_inverted_index.98-99% | 180 |
| abstract_inverted_index.change | 166 |
| abstract_inverted_index.curves | 167 |
| abstract_inverted_index.direct | 113 |
| abstract_inverted_index.models | 60, 72, 154 |
| abstract_inverted_index.paper, | 83 |
| abstract_inverted_index.phases | 48 |
| abstract_inverted_index.search | 6 |
| abstract_inverted_index.should | 20 |
| abstract_inverted_index.strain | 29, 134, 147, 163 |
| abstract_inverted_index.stress | 27, 142, 161 |
| abstract_inverted_index.tested | 110 |
| abstract_inverted_index.volume | 165 |
| abstract_inverted_index.Results | 149 |
| abstract_inverted_index.complex | 78 |
| abstract_inverted_index.conduct | 21 |
| abstract_inverted_index.initial | 127 |
| abstract_inverted_index.machine | 103 |
| abstract_inverted_index.models. | 25 |
| abstract_inverted_index.predict | 65 |
| abstract_inverted_index.process | 100 |
| abstract_inverted_index.provide | 155 |
| abstract_inverted_index.require | 73 |
| abstract_inverted_index.samples | 178 |
| abstract_inverted_index.Dilative | 45 |
| abstract_inverted_index.Gaussian | 99 |
| abstract_inverted_index.accuracy | 181 |
| abstract_inverted_index.analysis | 39 |
| abstract_inverted_index.behavior | 30, 67, 87 |
| abstract_inverted_index.commonly | 62 |
| abstract_inverted_index.dilative | 89, 175 |
| abstract_inverted_index.evaluate | 13 |
| abstract_inverted_index.included | 121 |
| abstract_inverted_index.industry | 4 |
| abstract_inverted_index.relative | 128 |
| abstract_inverted_index.strength | 86 |
| abstract_inverted_index.stresses | 124 |
| abstract_inverted_index.suitable | 10 |
| abstract_inverted_index.tailings | 109, 172 |
| abstract_inverted_index.vertical | 123 |
| abstract_inverted_index.apparatus | 115 |
| abstract_inverted_index.densities | 129 |
| abstract_inverted_index.engineers | 19 |
| abstract_inverted_index.important | 36 |
| abstract_inverted_index.laborious | 74 |
| abstract_inverted_index.learning. | 104 |
| abstract_inverted_index.material. | 57 |
| abstract_inverted_index.parameter | 75 |
| abstract_inverted_index.responses | 138 |
| abstract_inverted_index.simulated | 97 |
| abstract_inverted_index.stability | 42 |
| abstract_inverted_index.tailings, | 95 |
| abstract_inverted_index.equations. | 80 |
| abstract_inverted_index.experiment | 184 |
| abstract_inverted_index.materials, | 18, 70, 92 |
| abstract_inverted_index.materials. | 11 |
| abstract_inverted_index.prediction | 157 |
| abstract_inverted_index.predictive | 24, 79 |
| abstract_inverted_index.predictors | 120 |
| abstract_inverted_index.regression | 101 |
| abstract_inverted_index.volumetric | 146 |
| abstract_inverted_index.alternative | 8 |
| abstract_inverted_index.considered. | 117 |
| abstract_inverted_index.contractive | 47, 91, 177 |
| abstract_inverted_index.embankment. | 44 |
| abstract_inverted_index.encountered | 50 |
| abstract_inverted_index.independent | 183 |
| abstract_inverted_index.non-plastic | 54 |
| abstract_inverted_index.constitutive | 59 |
| abstract_inverted_index.construction | 3 |
| abstract_inverted_index.specifically | 93 |
| abstract_inverted_index.applicability | 15 |
| abstract_inverted_index.determination | 76 |
| abstract_inverted_index.geo-materials | 34 |
| abstract_inverted_index.Sustainability | 0 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.6499999761581421 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.01855028 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |