Design Concepts for Seismic-Resistant Buildings: Quantitative Shaking Evaluations
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| Title: | Design Concepts for Seismic-Resistant Buildings: Quantitative Shaking Evaluations |
|---|---|
| Description: | This book proposes a quantitative shaking evaluation for seismic-resistant buildings. In modern seismic-resistant building design codes, a building structure subjected to a strong earthquake can experience considerably large deformations without collapsing. This book features useful guidance to calculate the shaking quantity scale in detail. It also demonstrates the application of Artificial Intelligence (namely the Deep Neural Network) to predict the shaking quantity scale, which is highly important for early warning system applications for earthquakes. |
| Authors: | Buntara Sthenly Gan, Author |
| Resource Type: | eBook. |
| Subjects: | Earthquake engineering, Buildings--Earthquake effects, Earthquake resistant design |
| Categories: | SCIENCE / Physics / Geophysics, TECHNOLOGY & ENGINEERING / Structural |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 3548033 RelevancyScore: 1116 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1116.28857421875 |
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| Items | – Name: Title Label: Title Group: Ti Data: Design Concepts for Seismic-Resistant Buildings: Quantitative Shaking Evaluations – Name: Abstract Label: Description Group: Ab Data: This book proposes a quantitative shaking evaluation for seismic-resistant buildings. In modern seismic-resistant building design codes, a building structure subjected to a strong earthquake can experience considerably large deformations without collapsing. This book features useful guidance to calculate the shaking quantity scale in detail. It also demonstrates the application of Artificial Intelligence (namely the Deep Neural Network) to predict the shaking quantity scale, which is highly important for early warning system applications for earthquakes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Buntara+Sthenly+Gan%2C+Author%22">Buntara Sthenly Gan, Author</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Earthquake+engineering%22">Earthquake engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Buildings--Earthquake+effects%22">Buildings--Earthquake effects</searchLink><br /><searchLink fieldCode="DE" term="%22Earthquake+resistant+design%22">Earthquake resistant design</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Physics+%2F+Geophysics%22">SCIENCE / Physics / Geophysics</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Structural%22">TECHNOLOGY & ENGINEERING / Structural</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=3548033 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 624.1762 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Earthquake engineering Type: general – SubjectFull: Buildings--Earthquake effects Type: general – SubjectFull: Earthquake resistant design Type: general Titles: – TitleFull: Design Concepts for Seismic-Resistant Buildings: Quantitative Shaking Evaluations Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Buntara Sthenly Gan, Author – PersonEntity: Name: NameFull: Buntara Sthenly Gan, Author IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 21 M: 02 Type: profile Y: 2023 Identifiers: – Type: isbn-print Value: 9781527591462 – Type: isbn-electronic Value: 9781527591479 Titles: – TitleFull: Design Concepts for Seismic-Resistant Buildings: Quantitative Shaking Evaluations Type: main |
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