Matches in SemOpenAlex for { <https://semopenalex.org/work/W4290052321> ?p ?o ?g. }
- W4290052321 endingPage "107448" @default.
- W4290052321 startingPage "107448" @default.
- W4290052321 abstract "This paper aims to design optimal inclined wave barriers for screening vibrations in homogeneous and layered grounds with different groundwater table levels. The wave propagation phenomenon in the dry and saturated layered half-space is modeled using finite element numerical simulations considering elastodynamic and Biot's poroelastodynamic theories in dry and saturated layers, respectively. The inclined barriers' geometry and position are optimized using Covariance Matrix Adaption Evolution Strategy (CMA-ES), in which the finite element simulations are incorporated to find the fitness function. The studied grounds are subjected to dynamic loadings with different frequencies, and they are considered to have single or multiple layers with different groundwater levels. It is observed that the barriers perform better at larger frequencies and tend to locate close to the loading area to screen the waves actively. Also, the optimal barriers alleviate the environmental nuisance caused by the ground-borne vibrations significantly." @default.
- W4290052321 created "2022-08-06" @default.
- W4290052321 creator A5031114962 @default.
- W4290052321 creator A5045435333 @default.
- W4290052321 date "2022-11-01" @default.
- W4290052321 modified "2023-10-01" @default.
- W4290052321 title "Ground-borne vibration screening in layered dry and saturated grounds using optimal inclined wave barriers" @default.
- W4290052321 cites W1629661458 @default.
- W4290052321 cites W1972846470 @default.
- W4290052321 cites W1974197418 @default.
- W4290052321 cites W1992317612 @default.
- W4290052321 cites W1995465340 @default.
- W4290052321 cites W2000474073 @default.
- W4290052321 cites W2015673961 @default.
- W4290052321 cites W2015778534 @default.
- W4290052321 cites W2029621221 @default.
- W4290052321 cites W2034058391 @default.
- W4290052321 cites W2062282646 @default.
- W4290052321 cites W2064243792 @default.
- W4290052321 cites W2066455797 @default.
- W4290052321 cites W2070197282 @default.
- W4290052321 cites W2071164532 @default.
- W4290052321 cites W2072019424 @default.
- W4290052321 cites W2085505927 @default.
- W4290052321 cites W2115822792 @default.
- W4290052321 cites W2136904021 @default.
- W4290052321 cites W2164931313 @default.
- W4290052321 cites W2169338059 @default.
- W4290052321 cites W2189821450 @default.
- W4290052321 cites W2195241446 @default.
- W4290052321 cites W2285922991 @default.
- W4290052321 cites W2345394035 @default.
- W4290052321 cites W2402417452 @default.
- W4290052321 cites W2512353535 @default.
- W4290052321 cites W2564803858 @default.
- W4290052321 cites W2618287001 @default.
- W4290052321 cites W2768520063 @default.
- W4290052321 cites W2795714816 @default.
- W4290052321 cites W2804820348 @default.
- W4290052321 cites W2805491363 @default.
- W4290052321 cites W2807456147 @default.
- W4290052321 cites W2918866031 @default.
- W4290052321 cites W2921745174 @default.
- W4290052321 cites W2924571241 @default.
- W4290052321 cites W2944890174 @default.
- W4290052321 cites W2951344044 @default.
- W4290052321 cites W3000556118 @default.
- W4290052321 cites W3044884363 @default.
- W4290052321 cites W3146502577 @default.
- W4290052321 cites W3199745704 @default.
- W4290052321 cites W4233815611 @default.
- W4290052321 cites W580021102 @default.
- W4290052321 doi "https://doi.org/10.1016/j.soildyn.2022.107448" @default.
- W4290052321 hasPublicationYear "2022" @default.
- W4290052321 type Work @default.
- W4290052321 citedByCount "1" @default.
- W4290052321 countsByYear W42900523212023 @default.
- W4290052321 crossrefType "journal-article" @default.
- W4290052321 hasAuthorship W4290052321A5031114962 @default.
- W4290052321 hasAuthorship W4290052321A5045435333 @default.
- W4290052321 hasConcept C10138342 @default.
- W4290052321 hasConcept C106487976 @default.
- W4290052321 hasConcept C115341296 @default.
- W4290052321 hasConcept C121332964 @default.
- W4290052321 hasConcept C121864883 @default.
- W4290052321 hasConcept C127313418 @default.
- W4290052321 hasConcept C127413603 @default.
- W4290052321 hasConcept C135628077 @default.
- W4290052321 hasConcept C159985019 @default.
- W4290052321 hasConcept C162324750 @default.
- W4290052321 hasConcept C187320778 @default.
- W4290052321 hasConcept C192562407 @default.
- W4290052321 hasConcept C198082294 @default.
- W4290052321 hasConcept C198394728 @default.
- W4290052321 hasConcept C24890656 @default.
- W4290052321 hasConcept C57879066 @default.
- W4290052321 hasConcept C66882249 @default.
- W4290052321 hasConcept C66938386 @default.
- W4290052321 hasConcept C76177295 @default.
- W4290052321 hasConceptScore W4290052321C10138342 @default.
- W4290052321 hasConceptScore W4290052321C106487976 @default.
- W4290052321 hasConceptScore W4290052321C115341296 @default.
- W4290052321 hasConceptScore W4290052321C121332964 @default.
- W4290052321 hasConceptScore W4290052321C121864883 @default.
- W4290052321 hasConceptScore W4290052321C127313418 @default.
- W4290052321 hasConceptScore W4290052321C127413603 @default.
- W4290052321 hasConceptScore W4290052321C135628077 @default.
- W4290052321 hasConceptScore W4290052321C159985019 @default.
- W4290052321 hasConceptScore W4290052321C162324750 @default.
- W4290052321 hasConceptScore W4290052321C187320778 @default.
- W4290052321 hasConceptScore W4290052321C192562407 @default.
- W4290052321 hasConceptScore W4290052321C198082294 @default.
- W4290052321 hasConceptScore W4290052321C198394728 @default.
- W4290052321 hasConceptScore W4290052321C24890656 @default.
- W4290052321 hasConceptScore W4290052321C57879066 @default.
- W4290052321 hasConceptScore W4290052321C66882249 @default.
- W4290052321 hasConceptScore W4290052321C66938386 @default.
- W4290052321 hasConceptScore W4290052321C76177295 @default.