Collaborative Research: RAPID - Post-Disaster Structural Data Collection Following the 11 March 2011 Tohoku, Japan Tsunami

合作研究:RAPID - 2011 年 3 月 11 日日本东北海啸后的灾后结构数据收集

基本信息

  • 批准号:
    1138699
  • 负责人:
  • 金额:
    $ 1.37万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-07-15 至 2012-06-30
  • 项目状态:
    已结题

项目摘要

The tsunami triggered by the 11 March 2011 magnitude 9.0 earthquake off Tohoku, Japan, created widespread structural damage in cities along the Japanese coastline. Careful documentation of flow depth and structural response resulting from this tsunami will provide data that can be used to validate tsunami inundation models and corresponding methodologies for calculating structural response due to the inundation. The primary objective of this Rapid Response Research (RAPID) award is to collect time sensitive impact data in Japan from this March 2011 tsunami that will soon be lost, as buildings and infrastructure in the affected areas are repaired or demolished. The investigation team includes researchers and students from the University of Hawaii and Oregon State University. This study will focus on collecting detailed, localized data in several of the most severely damaged areas of the coastline in the Miyagi and Iwate Prefectures, rather than a general survey of all of the inundation areas, which has been undertaken by other local and international reconnaissance teams. Through this award, the reconnaissance team will collect high resolution, ground based LIDAR data. The LIDAR data will be used to generate virtual models that can be queried for measurements such as flow depths, observed maximum run-up, and scour depths at key sites. These will be complemented with manual measurements and analysis of videos and photographs. The LIDAR data will also provide detailed dimensional data for the structures to be studied. The focus in specific areas of study will provide the data needed for validation of the tsunami inundation model. Furthermore, the structural properties of both damaged structures and undamaged structures will be used to determine hydrostatic, hydrodynamic, and impact forces applied during the tsunami inundation. This field reconnaissance will help resolve several key questions in the tsunami design provisions regarding flow velocities and momentum of tsunami bores and/or wave surges over land and scouring, as well as gain information on overarching questions on risk-based design criteria and the ultimate capabilities of structures to resist a maximum credible tsunami. This team will coordinate reconnaissance activities with the UNESCO-led International Tsunami Survey Team. Such data are important for understanding how to design buildings to resist earthquakes and tsunamis for public safety. Many parts of the United States and other places in the world that face similar hazards will benefit from such discoveries, which will help shape building design codes, which are important for public safety. These new standards, validated by information collected on this project, could also provide data in the near future to assist Japan in the recovery phase of their disaster stricken coastal areas. This project will also enable graduate students to observe sites impacted by tsunamis and learn from this event so that they will be better prepared to lead future generations of engineers in reducing seismic and tsunami risk.
2011年3月11日,日本东北地区发生里氏9.0级地震,引发的海啸在日本沿海城市造成了广泛的结构破坏。海啸造成的水流深度和结构反应的详细记录将提供数据,可用于验证海啸淹没模型和相应的计算洪水引起的结构反应的方法。这项快速反应研究(Rapid)奖的主要目标是收集2011年3月日本海啸的时间敏感影响数据,这些数据将很快消失,因为受影响地区的建筑物和基础设施正在修复或拆除。调查小组包括来自夏威夷大学和俄勒冈州立大学的研究人员和学生。这项研究将侧重于收集宫城县和岩手县海岸线上几个受损最严重地区的详细、局部数据,而不是像其他地方和国际侦察小组那样,对所有被淹没地区进行全面调查。通过该合同,侦察小组将收集高分辨率地面激光雷达数据。激光雷达数据将用于生成虚拟模型,可以查询诸如流动深度、观察到的最大爬升和关键地点的冲刷深度等测量结果。这些工作将辅以人工测量和分析录象和照片。激光雷达数据还将为待研究的结构提供详细的尺寸数据。对特定研究领域的关注将提供验证海啸淹没模型所需的数据。此外,受损结构和未受损结构的结构特性将用于确定海啸淹没期间施加的水静力、水动力和冲击力。这次实地勘察将有助于解决海啸设计条款中的几个关键问题,如海啸钻孔的流速和动量,以及/或陆地和冲刷上的浪涌,并获得有关基于风险的设计标准和结构抵抗最大可信海啸的最终能力的总体问题的信息。该小组将与教科文组织领导的国际海啸调查队协调侦察活动。这些数据对于了解如何设计建筑物以抵御地震和海啸以保障公共安全非常重要。美国和世界上许多面临类似危险的地方将受益于这些发现,这将有助于制定对公共安全至关重要的建筑设计规范。这些新标准经本项目收集的资料证实,也可在不久的将来提供数据,以协助日本在其受灾沿海地区的恢复阶段。该项目还将使研究生能够观察受海啸影响的地点,并从中学习,以便他们更好地准备领导未来几代工程师减少地震和海啸风险。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Michael Olsen其他文献

Combustion resistance of the 129Xe hyperpolarized nuclear spin state.
129Xe超极化核自旋态的燃烧阻力。
  • DOI:
    10.1039/c2cp43382f
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    K. Stupic;Joseph S. Six;Michael Olsen;G. Pavlovskaya;T. Meersmann
  • 通讯作者:
    T. Meersmann
NT-PROBNP, LEFT VENTRICULAR STRUCTURE AND FUNCTION, AND LONG-TERM CARDIOVASCULAR EVENTS: INSIGHTS FROM A PROSPECTIVE POPULATION-BASED COHORT STUDY
  • DOI:
    10.1016/s0735-1097(17)34139-6
  • 发表时间:
    2017-03-21
  • 期刊:
  • 影响因子:
  • 作者:
    Manan Pareek;Deepak L. Bhatt;Muthiah Vaduganathan;Tor Biering-Sørensen;Jacob E. Møller;Margrét Leósdóttir;Martin Magnusson;Peter M. Nilsson;Michael Olsen
  • 通讯作者:
    Michael Olsen
A high precision gas flow cell for performing in situ neutron studies of local atomic structure in catalytic materials.
高精度气体流动池,用于对催化材料中的局部原子结构进行原位中子研究。
  • DOI:
    10.1063/1.4978287
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. Olds;K. Page;A. Paecklar;P. F. Peterson;Jue Liu;G. Rucker;Mariano Ruiz;Michael Olsen;Michelle D. Pawel;S. Overbury;J. Neilson
  • 通讯作者:
    J. Neilson
INCREASED HIGH SENSITIVITY C-REACTIVE PROTEIN IS ASSOCIATED WITH AORTIC VALVE REPLACEMENT IN PATIENTS WITH MILD TO MODERATE AORTIC VALVE STENOSIS: A SEAS SUBSTUDY
  • DOI:
    10.1016/s0735-1097(14)61922-7
  • 发表时间:
    2014-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Adam Blyme;Camilla Asferg;Olav Nielsen;Kurt Boman;Christa Gohlke-Baerwolf;Antero Kesniemi;Christoph Nienaber;Terje Pedersen;Simon Ray;Anne Rosseb;Ronnie Willenheimer;Kristian Wachtell;Michael Olsen
  • 通讯作者:
    Michael Olsen
Incidence and predictors of post-thrombotic syndrome in patients with proximal DVT in a real-world setting: findings from the GARFIELD-VTE registry
现实世界中近端 DVT 患者血栓后综合征的发生率和预测因素:GARFIELD-VTE 登记处的发现
  • DOI:
    10.1007/s11239-023-02895-7
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4
  • 作者:
    P. Prandoni;Sylvia Haas;M. Fluharty;S. Schellong;Harry Gibbs;Eric Tse;M. Carrier;B. Jacobson;H. ten Cate;E. Panchenko;P. Verhamme;K. Pieper;G. Kayani;L. A. Kakkar;Nik Akihiko Juan David Taylan David Walter Giancarlo M Abdullah Abiko Abril Acevedo Adademir Adler Ageno ;Nik Abdullah;Akihiko Abiko;Juan Abril;David Acevedo;T. Adademir;David Adler;W. Ageno;G. Agnelli;Mostafa Ahmed;Ahmet Aksoy;Serir Aktogu;Gholam Ali;Raz Alikhan;Gregory Allen;P. Angchaisuksiri;Sevestre Antoinette;Amy Arouni;Addala Azeddine;Tarek Azim;Wilfried Backer;Y. Balthazar;Soo Bang;M. Banyai;Olga Barbarash;Marcelo Barrionuevo;Mostafa Bary;Bektas Battaloglu;W. Bax;Terriat Béatrice;Steffen Behrens;D. Belenky;Juan Benitez;M. Berli;Peuch Bernadette;Andrea Berni;M. Betsbrugge;Adriaan Beyers;Abraham Bezuidenhout;Claude Bidi;Peter Bilderling;Laure Binet;Tina Biss;Luis Blasco;Erwin Blessing;Peter Blombery;J. Bono;K. Boomars;Juree Boondumrongsagoon;Lohana Borges;M. Bosch;Louis Botha;H. Bounameaux;T. Boussy;Margaret Bowers;Mikhail Boyarkin;Cornelia Brauer;Kate L. Burbury;Hana Burianova;Yuriy Burov;Cas Cader;R. Canevascini;L. Capiau;Roberto Cappelli;Boulon Carine;M. Carrier;Abu Carrim;Patrick Carroll;Tomas Casabella;H. Cate;Marco Cattaneo;Vladimir Cech;Luis Cervera;Seung Cha;Joseph Chacko;Kuan Chang;K. Chansung;Ting Chao;Anoop Chauhan;S. Chayangsu;Mariam Chetanachan;Lee Chew;Chern Chiang;Kuan Chiu;Won Choi;Ponchaux Christian;Brousse Christophe;Seinturier Christophe;Sanjeev Chunilal;Amanda Clark;Abdurrahim Colak;João Correa;B. Cosmi;Franco Cosmi;Z. Coufal;D. Creagh;L. Cristina;Carlos Cuneo;Garcia Dalmau;Garrigues Damien;Armando D’Angelo;H. Darius;Sudip Datta;Adriaan Dees;Mohamed Dessoki;C. Díaz;Enrique Diaz;Emre Dogan;Brisot Dominique;Elkouri Dominique;Stephan Dominique;Servaas Donders;Dmitry Dorokhov;Johan Duchateau;Norberto Duda;Grace Eddie;Hallah Elali;H. Eldin;Chevrier Elisa;Messas Emmanuel;Barbara Erdelyi;Frans Erdkamp;Ehab M. Esheiba;G. Esperón;Sherif Essameldin;T. Everington;Markus Faghih;Anna Falanga;J. Fedele;R. Ferkl;A. Fernandez;Manuel Fernandez;P. Ferrini;F. Ferroni;Jose Filho;Mark Fixley;John Fletcher;Oscar Flores;Couturaud Francis;Bergmann Francois;Hendrik Franow;Amr Gad;Mohamed Gaffar;Mary Gaffney;G. Gal;Javier Galvar;Angel Galvez;Marco Gamba;Gin Gan;V. Gerdes;Hagen Gerofke;Harry Gibbs;H. Gogia;Ivan Gordeev;Shinya Goto;Sam Griffin;Christina Gris;Ernst Grochenig;J. Gujral;Ozcan Gur;Orcun Gurbuz;Michel Gustin;Luis Guzman;Chung Ha;Ghassan Haddad;Dirk Hagemann;P. Hainaut;Muhammad Hameed;Terence Hart;Hatice Hasanoglu;Erman Hashas;Wilhelm Haverkamp;Desmurs Helene;Fitjerald Henry;Artur Herdy;Rika Herreweghe;Masao Hirano;Prahlad Ho;Wai Ho;G. Hollanders;Miroslav Homza;Thomas Horacek;Chien Hsia;Chien Huang;Chien Huang;Chun Huang;Julian Humphrey;Beverley Hunt;Azlan Husin;Hun Hwang;Piriyaporn Iamsai;Manuel Ibarra;D. Imberti;Mahe Isabelle;Selim Isbir;B. Jacobson;P. Janský;Weihong Jiang;D. Jiménez;Zhicheng Jing;Jin Joh;G. Kamalov;Junji Kanda;Masashi Kanemoto;N. Kanitsap;M. Kanko;Kemal Karaarslan;J. Kassis;Atsushi Kato;Andrey Kazakov;David Keeling;Reinhold Keim;Allan Kelly;Mohamed Khan;Bonnie Kho;Alexey Khotuntsov;Ho Kim;Igor Kim;JangYong Kim;Jin Kim;Moo Kim;Yang Kim;Ilker Kiris;R. Klamroth;A. Kleiban;Garry Klein;Katsuhiro Kondo;Martin Koretzky;Wolfgang Korte;Modise Koto;F. Koura;Michael Kovacs;Vladimir Krasavin;Alan Krichell;Knut Kroeger;Ralf Kroening;Jiri Krupicka;Emre Kubat;Dusan Kucera;Shintaro Kuki;Jen Kuo;J. Kvasnička;Chi Kwok;JiHyun Kwon;Wen Lai;Pavel Lang;Jose Lara;J. Laštůvka;Holger Lawall;Michael Leahy;Jae Lee;Moon Lee;Raul Leon;Siwe Léopold;Michael Levy;Igor Libov;Wei Lin;Ann Lockman;C. Lodigiani;Irene Looi;Luciano López;Ab Loualidi;Charles Lunn;Canhua Luo;T. Luvhengo;Shaun Maasdorp;Peter MacCallum;Andrew Machowski;Mujibur Majumder;N. Makruasi;W. Malek;Kubina Manuel;P. Marchena;Javier Marino;Rafael Martinez;Shunzo Matsuoka;A. Mazzone;Simon McRae;Stuart Mellor;Robert Mendes;G. Merli;Antoni Mestre;Escande Michèle;Saskia Middeldorp;Raimundo Miranda;Ahmed Mohamed;Monniaty Mohamed;M. Moia;Dorthe Møller;Serge Motte;Moustafa Moustafa;N. Mumoli;Yeung Mun;Michael Munch;J. Muntaner;Bisher Mustafa;P. Mutirangura;Martin Myriam;Sang Na;Mohamed Nagib;Hiroaki Nakamura;Mashio Nakamura;Satoshi Nakazawa;Seung Nam;Bhavesh Natha;Falvo Nicolas;J. Nielsen;L. Norasetthada;Nordiana Nordin;T. Numbenjapon;Ole Nyvad;Hans Ohler;Yasushi Ohnuma;Michael Olsen;Tomoya Onodera;Christian Opitz;Alisha Oropallo;R. Otero;Oztekin Oto;Jorge Paez;E. Panchenko;Félix Paredes;Jin Park;Yong Park;Nishen Paruk;Siriwimon Patanasing;Guillot Paul;Michel Pauw;Jose Peromingo;Dmitry Petrov;W. Pharr;Georg Plassmann;George Platt;Ivo Podpera;G. Poirier;D. Poli;E. Porreca;Domenico Prisco;R. Prosecký;Jiri Pumprla;Herbert Raedt;Rapule Ratsela;Selma Raymundo;Raquel Reyes;Tim Reynolds;L. Ria;P. Rojnuckarin;Dirk Roux;Ayman Salem;Rita Santoro;Jose Saraiva;J. Sathar;Ismail Savas;S. Schellong;Lilia Schiavi;Andor Schmidt;Renate Schmidt;Herman Schroe;M. Schul;C. Schwencke;David Scott;Gaurand Shah;Yoshisato Shibata;Jhih Shih;Hyeok Shim;Sherif Sholkamy;Kou Shyu;Rupesh Singh;Suaran Singh;D. Skowasch;A. Slocombe;Clifford Smith;German Sokurenko;Mosaad Soliman;S. Solymoss;Ik Song;Igor Sonkin;Joan Souto;Rudolf Spacek;Ilya Staroverov;Daniel Staub;H. Striekwold;Markus Stuecker;Y. Subbotin;Igor Suchkov;Shenghua Sun;J. Suriñach;T. Suwanban;Koscál Svatopluk;Jaromira Svobodova;Mersel Tahar;Kensuke Takeuchi;Y. Tanabe;Isabel Tenorio;Sophie Testa;Daniel Theodoro;Hongyan Tian;L. Tick;Luc Timmermans;Seng Ting;E. Tiraferri;Cheng Toh;See Toh;Vladimir Tolstikhin;Jorge Toro;A. Tosetto;Berremeli Toufek;B. Trimarco;Eric Tse;Wei Tseng;Hatice Turker;Kwo Ueng;E. Usandizaga;K. Vandenbosch;Jan Vanwelden;P. Verhamme;Jiri Vesely;Beatrice Vesti;P. Viboonjuntra;O. Vilamajó;Philippe Vleeschauwer;Haofu Wang;Shenming Wang;Chris Ward;Akinori Watanabe;Simon Watt;J. Welker;Rachel Wells;Kwan Wern;Jan Westendorf;Richard White;Benedicte Wilson;Lily Wong;Raymond Wong;S. Wongkhantee;Chau Wu;Chih Wu;Cynthia Wu;Jinghua Yang;Zhenwen Yang;Zhongqi Yang;Celal Yavuz;Erik Yeo;H. Yhim;Kai Yiu;Shuichi Yoshida;Winston Yoshida;C. Zaidman;Dmitry Zateyshchikov;Thomas Zeller;Stanislav Zemek;Lei Zhang;Weihua Zhang;Hong Zhu;Hesham Zidan;Brian Zidel;K. Zrazhevskiy;Nadezhda A. Zubareva.
  • 通讯作者:
    Nadezhda A. Zubareva.

Michael Olsen的其他文献

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{{ truncateString('Michael Olsen', 18)}}的其他基金

Collaborative Research: Droplet breakup in homogenous turbulence: model validation through experiments and direct numerical simulations
合作研究:均匀湍流中的液滴破碎:通过实验和直接数值模拟进行模型验证
  • 批准号:
    2201707
  • 财政年份:
    2022
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
Planning Grant: Engineering Research Center for Built Infrastructure Geospatial Data Acquisition, Visualization, and Analysis (BIGDAVA)
规划资助:建筑基础设施地理空间数据采集、可视化和分析工程研究中心(BIGDAVA)
  • 批准号:
    1937070
  • 财政年份:
    2019
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
CAREER/CDS&E: Advanced, 3D Infrastructure Information Modeling Using Lidar
职业/CDS
  • 批准号:
    1351487
  • 财政年份:
    2014
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
RAPID/Collaborative Research: Investigation of the Effects of Rockfall Impacts on Structures During the Christchurch Earthquake Series
快速/合作研究:调查基督城地震系列期间落石对结构的影响
  • 批准号:
    1439883
  • 财政年份:
    2014
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
Nanoprecipitation in Turbulent Liquid-Phase Vortex Reactors: A Fundamental Investigation of Scale Up Using Experimentally Validated CFD Models
湍流液相涡旋反应器中的纳米沉淀:使用经过实验验证的 CFD 模型进行放大的基础研究
  • 批准号:
    0932978
  • 财政年份:
    2009
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
MRI: Acquisition of a High-Speed Particle Image Velocimetry System for Fluid Dynamics Research
MRI:采集用于流体动力学研究的高速粒子图像测速系统
  • 批准号:
    0521173
  • 财政年份:
    2005
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
CAREER: Development of Microstructures for High Heat Flux Applications Utilizing Non-Intrusive Temperature and Velocity Measurement Techniques
职业:利用非侵入式温度和速度测量技术开发高热通量应用的微观结构
  • 批准号:
    0134469
  • 财政年份:
    2002
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant

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    2024
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Multifaceted Data Collection on the Aftermath of the March 26, 2024 Francis Scott Key Bridge Collapse in the DC-Maryland-Virginia Area
RAPID:协作研究:2024 年 3 月 26 日 DC-马里兰-弗吉尼亚地区 Francis Scott Key 大桥倒塌事故后果的多方面数据收集
  • 批准号:
    2427233
  • 财政年份:
    2024
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
Collaborative Research: RAPID: Investigating the magnitude and timing of post-fire sediment transport in the Texas Panhandle
合作研究:RAPID:调查德克萨斯州狭长地带火灾后沉积物迁移的程度和时间
  • 批准号:
    2425430
  • 财政年份:
    2024
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Multifaceted Data Collection on the Aftermath of the March 26, 2024 Francis Scott Key Bridge Collapse in the DC-Maryland-Virginia Area
RAPID:协作研究:2024 年 3 月 26 日 DC-马里兰-弗吉尼亚地区 Francis Scott Key 大桥倒塌事故后果的多方面数据收集
  • 批准号:
    2427232
  • 财政年份:
    2024
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Multifaceted Data Collection on the Aftermath of the March 26, 2024 Francis Scott Key Bridge Collapse in the DC-Maryland-Virginia Area
RAPID:协作研究:2024 年 3 月 26 日 DC-马里兰-弗吉尼亚地区 Francis Scott Key 大桥倒塌事故后果的多方面数据收集
  • 批准号:
    2427231
  • 财政年份:
    2024
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
Collaborative Research: RAPID: A perfect storm: will the double-impact of 2023/24 El Nino drought and forest degradation induce a local tipping-point onset in the eastern Amazon?
合作研究:RAPID:一场完美风暴:2023/24厄尔尼诺干旱和森林退化的双重影响是否会导致亚马逊东部地区出现局部临界点?
  • 批准号:
    2403882
  • 财政年份:
    2024
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
Collaborative Research: RAPID: Investigating the magnitude and timing of post-fire sediment transport in the Texas Panhandle
合作研究:RAPID:调查德克萨斯州狭长地带火灾后沉积物迁移的程度和时间
  • 批准号:
    2425429
  • 财政年份:
    2024
  • 资助金额:
    $ 1.37万
  • 项目类别:
    Standard Grant
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