{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1390302315058672384.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.5109/7323337"}},{"identifier":{"@type":"HDL","@value":"https://hdl.handle.net/2324/7323337"}}],"resourceType":"会議発表資料(conference paper)","dc:title":[{"@language":"en","@value":"Comparisons of Statistics for Wind Speeds Around an Isolated Building Determined by Wind-tunnel Experiment and Numerical Simulation"}],"dc:language":"en","description":[{"type":"abstract","notation":[{"@language":"en","@value":"Accurately predicting low-occurrence wind speeds around urban structures is vital for proper building design as well as pedestrian safety. Although Large-eddy simulation (LES) is often used as a high-fidelity model compared to Reynolds-averaged Navier–Stokes (RANS) simulation, current validation processes mainly compare fundamental statistics of the mean and standard deviations of the wind speed. Discrepancies between LESs and wind-tunnel experiments (WTE) remain unclear, particularly regarding physical quantities that characterize the unsteadiness of turbulent flows, such as probability densities, power spectral densities, and high-order moments of the wind speed. This study evaluates LES's results in predicting unsteady wind behavior around a 1:1:2 block model. Two advection schemes in LESs, including first-order upwind and second-order linear were investigated. The results show notable discrepancies, particularly in high-order statistics with WTE consistently exhibiting higher energy levels across all frequencies. These findings underscore the need to refine numerical models to improve their predictive accuracy."}],"abstractLicenseFlag":"allow"}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1410302315058672387","@type":"Researcher","foaf:name":[{"@language":"en","@value":"T. Tong"}],"jpcoar:affiliationName":[{"@language":"ja","@value":"九州大学大学院総合理工学研究院"},{"@language":"en","@value":"Interdisciplinary Graduate School of Engineering Sciences, Kyushu University"}]},{"@id":"https://cir.nii.ac.jp/crid/1410302315058672385","@type":"Researcher","foaf:name":[{"@language":"en","@value":"Y. Li"}],"jpcoar:affiliationName":[{"@language":"en","@value":"Interdisciplinary Graduate School of Engineering Sciences, Kyushu University"},{"@language":"ja","@value":"九州大学大学院総合理工学研究院"},{"@language":"ja","@value":"九州大学大学院工学研究院"},{"@language":"en","@value":"Faculty of Engineering Sciences, Kyushu University"}]},{"@id":"https://cir.nii.ac.jp/crid/1410302315058672384","@type":"Researcher","foaf:name":[{"@language":"en","@value":"W. Wang"}],"jpcoar:affiliationName":[{"@language":"ja","@value":"九州大学大学院総合理工学研究院"},{"@language":"en","@value":"Interdisciplinary Graduate School of Engineering Sciences, Kyushu University"},{"@language":"en","@value":"Faculty of Engineering Sciences, Kyushu University"},{"@language":"ja","@value":"九州大学大学院工学研究院"}]},{"@id":"https://cir.nii.ac.jp/crid/1410302315058672386","@type":"Researcher","foaf:name":[{"@language":"ja","@value":"池谷 直樹"},{"@language":"en","@value":"Ikegaya Naoki"}],"jpcoar:affiliationName":[{"@language":"en","@value":"Interdisciplinary Graduate School of Engineering Sciences, Kyushu University"},{"@language":"ja","@value":"九州大学大学院総合理工学研究院"},{"@language":"ja","@value":"九州大学大学院工学研究院"},{"@language":"en","@value":"Faculty of Engineering Sciences, Kyushu University"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"24341436"},{"@type":"EISSN","@value":"24341436"}],"prism:publicationName":[{"@language":"en","@value":"Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)"}],"dc:publisher":[{"@language":"en","@value":"Interdisciplinary Graduate School of Engineering Sciences, Kyushu University"},{"@language":"ja","@value":"九州大学大学院総合理工学府"}],"prism:publicationDate":"2024-10-17","prism:volume":"10","prism:startingPage":"692","prism:endingPage":"699"},"reviewed":"false","dcterms:accessRights":"http://purl.org/coar/access_right/c_abf2","jpcoar:conferenceName":"International Exchange and Innovation Conference on Engineering & Science(IEICES)","jpcoar:conferencePlace":"九州大学","availableAt":"2024-10-17","foaf:topic":[{"@id":"https://cir.nii.ac.jp/all?q=Large-eddy%20simulation","dc:title":"Large-eddy simulation"},{"@id":"https://cir.nii.ac.jp/all?q=Wind-tunnel%20experiment","dc:title":"Wind-tunnel experiment"},{"@id":"https://cir.nii.ac.jp/all?q=High-order%20moment","dc:title":"High-order moment"},{"@id":"https://cir.nii.ac.jp/all?q=Probability%20density","dc:title":"Probability density"},{"@id":"https://cir.nii.ac.jp/all?q=Power%20spectral%20density","dc:title":"Power spectral density"}],"dcterms:subject":[{"subjectScheme":"Other","notation":[{"@language":"en","@value":"Large-eddy simulation"}]},{"subjectScheme":"Other","notation":[{"@language":"en","@value":"Wind-tunnel experiment"}]},{"subjectScheme":"Other","notation":[{"@language":"en","@value":"High-order moment"}]},{"subjectScheme":"Other","notation":[{"@language":"en","@value":"Probability density"}]},{"subjectScheme":"Other","notation":[{"@language":"en","@value":"Power spectral density"}]}],"dataSourceIdentifier":[{"@type":"JALC","@value":"oai:japanlinkcenter.org:2013530608"},{"@type":"IRDB","@value":"oai:irdb.nii.ac.jp:01211:0006490414"},{"@type":"CROSSREF","@value":"10.5109/7323337"}]}