論文・発表
KAKEN: https://nrid.nii.ac.jp/ja/nrid/1000090610626/
Research Map: https://researchmap.jp/xinechowang
J-GL: https://jglobal.jst.go.jp/detail/?JGLOBAL_ID=201301004946950218&t=1
Research Gate: https://www.researchgate.net/profile/Xin-Wang-14
Scopus: https://www.scopus.com/authid/detail.uri?authorId=56881840200
ORCiD: https://orcid.org/my-orcid?orcid=0000-0002-2187-5848
2022年
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A New Attempt at Estimating Natural Vibration and Bending Deformation Characteristics of Super High-Rise Buildings Using Wave Interferometry, Experimental Vibration Analysis for Civil Engineering Structures, pp. 429–438,Xin Wang, Testushi Watanabe & Masayuki Nagano,24 August 2022 DOI:https://doi.org/10.1007/978-3-030-93236-7_36.
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波動干渉法による建物の減衰特性の評価に関する基礎的研究,王 欣, 永野 正行,日本建築学会大会学術講演梗概集(北海道)2022年9月,21430.
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建物の災害時被害判定CNN の空撮写真への適用に関する基礎的検討,山田 晴香,肥田 剛典,王 欣,永野 正行,日本建築学会大会学術講演梗概集(北海道)2022年9月,21006.
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物理演算シミュレータによる家具と人体の挙動を考慮した地震時負傷評価法の構築その1:家具の地震時挙動と立位時の負傷評価,栗原 慶,肥田 剛典,佐久間 栄己,劉 虹,王 欣,永野 正行,日本建築学会大会学術講演梗概集(北海道)2022年9月,21202.
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物理演算シミュレータによる家具と人体の挙動を考慮した地震時負傷評価法の構築その2 歩行と転倒を考慮した負傷評価,佐久間 栄己,肥田 剛典,栗原 慶,劉 虹,王 欣,永野 正行,日本建築学会大会学術講演梗概集(北海道)2022年9月,21203.
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GAN とSemantic Segmentation を用いたマスク付き擬似建物画像による建物被害判定CNNの構築,山田 晴香,肥田 剛典,王 欣,永野 正行,日本地震工学会・大会-2022(北海道)2022年12月,TS_20220119.
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CNN-BASED CHANGES DETECTION OF WAVEFIELD IN HIGH-RISE BUILDINGS DUE TO DAMAGES,Aijia Zhang, Xin Wang, Ji Dang,日本地震工学会・大会-2022(北海道)2022年12月,TS_20220182.
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Wavefield Character in High Rise Building under Earthquake Shake and CNN based Damage Detection,Aijia Zhang, Xin Wang, Ji Dang,9th Asia Pacific Workshop Structural Health Monitoring,2022年12月.
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Evaluation of Building Damage due to Natural Disaster using CNN and GAN,Haruka Yamada, Takenori Hida, Xin Wang, and Masayuki Nagano,9th Asia Pacific Workshop Structural Health Monitoring,2022年12月.
2021年
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傾斜した基盤上に建つ免震建物の観測と解析に基づく捩れ振動特性 髙平 友博, 飛田 喜則, 西浦 遼, 上林 宏敏, 王 欣, 永野 正行,日本建築学会構造系論文集 86(783) 706-716 2021年5月30日
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強震記録と微動計測記録および 3 次元フレームモデルの地震応答解析に基づく超高層 RC 造建物の全体曲げ変形評価 朝比奈 諒, 飛田 喜則, 王 欣, 永野 正行日本建築学会構造系論文集 86(783) 727-737 2021年5月30日
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Machine Learning-Based Fast Seismic Risk Assessment of Building Structures, Qi Tang,Ji Dang, Yao Cui, Xin Wang, and Jinqing Jia, Journal of Earthquake Engineering,2021,DOI:10.1080/13632469.2021.1987354
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WAVEFORM-BASED FRACTURE IDENTIFICATION OF STEEL BEAM ENDS USING CONVOLUTIONAL NEURAL NETWORKS,Structural Control and Health Monitoring (Accepted),https://authorservices.wiley.com/index.html#register, http://doi.org/10.1002/stc.2777
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Questionnaire Surveys on Damages at High-rise Buildings and Synthesized Near-Fault Long-Period Strong Ground Motions of the 2018 Hualien, Taiwan, Earthquake, Xin Wang, Masayuki Nagano, Hongjun Si, Wen-Yen Chang, Chun-Hsiang Kuo, Che-Min Lin, International Journal of Disaster Risk Reduction,2021,102343,ISSN 2212-4209,https://doi.org/10.1016/j.ijdrr.2021.102343.
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アンケート調査に基づく2018年台湾花蓮地震地震時の高層集合住宅の揺れと室内被害、渡邊哲志、王欣、永野正行、日本建築学会技術報告集、第27巻、第65号、142-147, 2021.2
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2021年日本福岛地震中建筑物破坏情况的现场考察报告,王欣,世界地震工程,第37卷,第2期,2021年4月
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Wave Propagation in an 18-Story Steel Building and the Changes of Wave Filed With the Progression of Damages, Xin Wang, Masayuki Nagano, SSA Annual Meeting 2021.
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Fracture detection from acceleration waveforms at joints of steel buildings using Convolutional Neural Network, Xin Wang, Luyao Wang, Ji Dang, 10th International conference on structural health monitoring of intelligent infrastructure.
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Preliminary Report of Damage Survey of 2021 the Offshore the Fukushima Prefecture Earthquake, factsheet.
2020年
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波動干渉法を用いた鉄骨造高層建物の波動伝播速度に関する基礎検討、王欣、永野正行、2020年日本建築学会全国大会・関東
2019年
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Shrestha A, Dang J, Nakajima K, Wang X. Image processing–based real‐time displacement monitoring methods using smart devices. Struct Control Health Monit. 2020;27:e2473. https://doi.org/10.1002/stc.2473
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Characteristics of strong ground motions and its corresponding to questionnaire survey to damage of high-rise residential buildings during the 2018 Mw 6.4 Hulien, Taiwan, earthquake, Xin Wang, Masayuki Nagano,Hongjun Si,Wen-Yen Chang,Chun-Hsiang Kuo,Che-Min Lin,Kazunari Suzuki,Tetsushi Watanabe, SSA Annual Meeting 2019, April 23-26, 2019.
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A Convolutional-Neural-Network-Based Damage Detection Method and its Application to a Shake Table Test of an 18-Stoy Steel Frame Building Structure, Luyao Wang, Xin Wang, Ji Dang,SSA Annual Meeting 2019, April 23-26, 2019.
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Smartphone-Based Bridge Seismic Monitoring System and Long-Term Field Application Tests, Ashish Shrestha, Ji Dang, Xin Wang, and Shogo Matsunaga, J. Struct. Eng., 2020,146(2):04019028. DOI: 10.1061/(ASCE)ST.1943-541X.0002513.
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2018 年台湾花蓮地震を対象とした中高層集合住宅の室内被害に関するアンケート調査、王欣、永野正行、2019年日本建築学会全国大会・金沢、講演番号:20185、梗概集ページ369-370.
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朝比奈諒,飛田喜則,王欣,永野 正行:常時微動・人力加振および強震観測に基づく超高層 RC 造建物の曲げ変形を伴う振動特性、2019年度地震工学会大会02-2.
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高平友博、飛田喜則、西浦遼、王欣、永野正行:傾斜基盤を有する地盤上に建つ免震建物の震動特性と 捩れ挙動に着目した非免震建物との応答比較、2019年度地震工学会大会02-4.
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村田将一(東京理科大学),王欣,永野正行:近年発生した大地震時の強震記録に基づく国内の超高 層集合住宅を対象とした広域的な非線形地震応答推定、2019年度地震工学会大会S21-09.
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Lessons learned from the 2018 Hualien earthquake: I. characteristics of strong ground motions and its corresponding to damages from questionnaire survey for high-rise residential buildings.Xin Wang, Yixuan Sun, Hongjun Si, Wen-Yen Chang, and Masayuki Nagano. International Conference in Commemoration of 20th Anniversary of the 1999 Chi-Chi Earthquake, Taipei, Taiwan, September 15-19, 2019
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Lessons learned from the 2018 Hualien earthquake: II. Nonlinear response analysis of high-rise reinforced concrete buildings to pulse-like ground motions.Tetsushi Watanabe, Xin Wang, et al., International Conference in Commemoration of 20th Anniversary of the 1999 Chi-Chi Earthquake, Taipei, Taiwan, September 15-19, 2019
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Lessons learned from the 2018 Hualien earthquake: III.generation of long-period pulse-like ground motions.Xin Wang, et al., International Conference in Commemoration of 20th Anniversary of the 1999 Chi-Chi Earthquake, Taipei, Taiwan, September 15-19, 2019
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王欣、王路遥、党紀:CNNを用いた波形から鉄骨造建物の梁端破断の検出および振動台実験への応用、第十三回日中建築構造技術交流会(蘭州)、2019年9月21日〜22日.
2018年
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Building damage and retrofit effectiveness evaluation of a SRC building using vertical array measurements of ambient noises, Xin Wang, Kojiro Irikura, Masato Motosaka, 7th World Conference on Structural Control and Monitoring, 7WCSCM, July 22-25, 2018.
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Examination of the temperature dependency of naturalfrequencies of buildings using long-term ambient noise,Xin Wang, Tomoki Hatakeyama, Masato Motosaka, Susumu Ohno,7th World Conference on Structural Control and Monitoring, 7WCSCM, July 22-25, 2018.
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Field implementation of image process based real-time bridge displacement monitoring using smart devices, A. Shrestha, J. Dang, K. Nakajima, X, Wang,7th World Conference on Structural Control and Monitoring, 7WCSCM, July 22-25, 2018.
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Changes of response characteristics to different damage patterns of steel structures, Xin Wang and Kojiro Irikura,11th U.S. National Conference on Earthquake Engineering, June 25-29, 2018.
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Low cost bridge seismic monitoring applying used smart phones and cloud server, Ji Dang, A, Shrestha, X. Wang, S. Matsunaga, P.J. Chun,and S. Asamoto,11th U.S. National Conference on Earthquake Engineering, June 25-29, 2018.
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Preliminary study on a neural network based fast earthquake damage detection method for building structures,Luyao Wang, Ji Dang, Xin Wang, 第15回日本地震工学会シンポジウム,GO09-02-05.
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2018年台湾花蓮地震における建物被害の要因分析,王欣・司 宏俊・纐纈一起・永野正行・党紀,第15回日本地震工学会シンポジウム,PS1-01-38.
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Development of a Low-cost Building Damage Detection System Using Smart Devices,Xin Wang, Luyao Wang, Ji Dang, 日本建築学会大会学術講演梗概集,169-170,2018年9月.
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Change of natural frequency of low-rise buildings based on long-term vibration records, Tomoki Hatakeyama, Xin Wang, Susumu Ohno, Masato Motosaka, Journal of Japan Association for Earthquake Engineering, Vol. 18, No.3,15-25,Feb 2018.https://doi.org/10.5610/jaee.18.3_15
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常時微動観測に基づく傾斜した塔状比の大きい杭基礎高層建築物の振動特性および杭頭被害との関連性に関する検討,福岡伸太郎,源栄正人,王欣, 日本地震工学会論文集,第18巻,第5号,88-107,2018年10月.https://doi.org/10.5610/jaee.18.5_88
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Development of a smart‐device‐based vibration‐measurement system: Effectiveness examination and application cases to existing structure,Ashish Shrestha, Ji Dang, Xin Wang, Struct Control Health Monitoring. 2018; 25:e2120.https://doi.org/10.1002/stc.2120
2018年以前の論文・発表 研究活動は: http://www.disaster.archi.tohoku.ac.jp/xin