소장자료
LDR | 02303nam 2200733 4500 | ||
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005 | 20230915092606▲ | ||
008 | 220131s2021 us ||||||||||||||c||eng d▲ | ||
020 | ▼a9798522971304▲ | ||
035 | ▼a(MiAaPQ)AAI28542849▲ | ||
040 | ▼aMiAaPQ▼cMiAaPQ▲ | ||
082 | 0 | ▼a624▲ | |
100 | 1 | ▼aFayaz, Jawad.▲ | |
245 | 1 | 0 | ▼aStatistical Frameworks for Improved Seismic Demand Analysis of Ordinary Standard Bridge Structures▼h[electronic resource].▲ |
260 | ▼a[S.l.] :▼bUniversity of California, Irvine, ▼c2021▲ | ||
260 | 1 | ▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2021▲ | |
300 | ▼a128 p.▲ | ||
500 | ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.▲ | ||
500 | ▼aAdvisor: Zareian, Farzin.▲ | ||
502 | 1 | ▼aThesis (Ph.D.)--University of California, Irvine, 2021.▲ | |
506 | ▼aThis item must not be sold to any third party vendors.▲ | ||
590 | ▼aSchool code: 0030.▲ | ||
650 | 4 | ▼aCivil engineering.▲ | |
650 | 4 | ▼aStatistics.▲ | |
650 | 4 | ▼aArtificial intelligence.▲ | |
650 | 4 | ▼aTransportation.▲ | |
650 | 4 | ▼aRandom variables.▲ | |
650 | 4 | ▼aOptimization techniques.▲ | |
650 | 4 | ▼aDissertations & theses.▲ | |
650 | 4 | ▼aStructural engineering.▲ | |
650 | 4 | ▼aAdvisors.▲ | |
650 | 4 | ▼aCore curriculum.▲ | |
650 | 4 | ▼aDesign techniques.▲ | |
650 | 4 | ▼aSimulation.▲ | |
650 | 4 | ▼aPhysics.▲ | |
650 | 4 | ▼aHypotheses.▲ | |
650 | 4 | ▼aNeural networks.▲ | |
650 | 4 | ▼aEngineering schools.▲ | |
650 | 4 | ▼aEarthquakes.▲ | |
650 | 4 | ▼aSeismic engineering.▲ | |
650 | 4 | ▼aBridges.▲ | |
650 | 4 | ▼aEngineering research.▲ | |
650 | 4 | ▼aParameter estimation.▲ | |
653 | ▼aArtificial neural networks▲ | ||
653 | ▼aCybershake▲ | ||
653 | ▼aIncremental dynamic analysis▲ | ||
653 | ▼aSimulated ground motions▲ | ||
653 | ▼aEarthquake damage▲ | ||
653 | ▼aHazard analysis▲ | ||
653 | ▼aStructural demands▲ | ||
690 | ▼a0543▲ | ||
690 | ▼a0463▲ | ||
690 | ▼a0800▲ | ||
690 | ▼a0709▲ | ||
690 | ▼a0605▲ | ||
710 | 2 | 0 | ▼aUniversity of California, Irvine. ▼bCivil Engineering - Ph.D..▲ |
773 | 0 | ▼tDissertations Abstracts International, ▼g83-02B.▲ | |
773 | ▼tDissertation Abstract International▲ | ||
790 | ▼a0030▲ | ||
791 | ▼aPh.D.▲ | ||
792 | ▼a2021▲ | ||
793 | ▼aEnglish▲ | ||
856 | 4 | 0 | ▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052416▲ |
Statistical Frameworks for Improved Seismic Demand Analysis of Ordinary Standard Bridge Structures[electronic resource]
자료유형
국외eBook
서명/책임사항
Statistical Frameworks for Improved Seismic Demand Analysis of Ordinary Standard Bridge Structures [electronic resource].
개인저자
발행사항
[S.l.] : University of California, Irvine , 2021 Ann Arbor : ProQuest Dissertations & Theses , 2021
형태사항
128 p.
일반주기
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Advisor: Zareian, Farzin.
Advisor: Zareian, Farzin.
학위논문주기
Thesis (Ph.D.)--University of California, Irvine, 2021.
주제
Civil engineering.
Statistics.
Artificial intelligence.
Transportation.
Random variables.
Optimization techniques.
Dissertations & theses.
Structural engineering.
Advisors.
Core curriculum.
Design techniques.
Simulation.
Physics.
Hypotheses.
Neural networks.
Engineering schools.
Earthquakes.
Seismic engineering.
Bridges.
Engineering research.
Parameter estimation.
Artificial neural networks
Cybershake
Incremental dynamic analysis
Simulated ground motions
Earthquake damage
Hazard analysis
Structural demands
Statistics.
Artificial intelligence.
Transportation.
Random variables.
Optimization techniques.
Dissertations & theses.
Structural engineering.
Advisors.
Core curriculum.
Design techniques.
Simulation.
Physics.
Hypotheses.
Neural networks.
Engineering schools.
Earthquakes.
Seismic engineering.
Bridges.
Engineering research.
Parameter estimation.
Artificial neural networks
Cybershake
Incremental dynamic analysis
Simulated ground motions
Earthquake damage
Hazard analysis
Structural demands
ISBN
9798522971304
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