Rapid postearthquake safety evaluation of buildings using sparse acceleration measurements

After a seismic event, buildings need to be inspected to confirm their safety prior to reoccupation. As such, the rapid evaluation of the condition of individual buildings is important for minimizi...

[1]  Paolo Gamba,et al.  A flexible environment for earthquake rapid damage detection and assessment , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[2]  Jun Zhao,et al.  Sensitivity Study for Vibrational Parameters Used in Damage Detection , 1999 .

[3]  Hyun Myung,et al.  Vision-based displacement measurement method for high-rise building structures using partitioning approach , 2010 .

[4]  Simon Plank,et al.  Rapid Damage Assessment by Means of Multi-Temporal SAR - A Comprehensive Review and Outlook to Sentinel-1 , 2014, Remote. Sens..

[5]  Charles R. Farrar,et al.  Structural Health Monitoring Studies of the Alamosa Canyon and I-40 Bridges , 2000 .

[6]  Oral Büyüköztürk,et al.  Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types , 2018, Comput. Aided Civ. Infrastructure Eng..

[7]  Y. Wen.  Equivalent Linearization for Hysteretic Systems Under Random Excitation , 1980 .

[8]  Fabio Casciati,et al.  Real-time identification of disaster areas by an open-access vision-based tool , 2015, Adv. Eng. Softw..

[9]  Fabio Casciati,et al.  Remote monitoring of urban and infrastructural areas , 2014 .

[10]  Billie F. Spencer,et al.  Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring , 2019, Engineering.

[11]  Billie F. Spencer,et al.  Vision‐based automated bridge component recognition with high‐level scene consistency , 2019, Comput. Aided Civ. Infrastructure Eng..

[12]  André Twele,et al.  Rapid Damage Assessment and Situation Mapping: Learning from the 2010 Haiti Earthquake , 2011 .

[13]  H. Y. Hwang,et al.  Damage detection in structures using a few frequency response measurements , 2004 .

[14]  秀樹 井戸田,et al.  在来軸組木造住宅における一般耐震診断の評点と損傷度の関係 : 耐震改修促進のための意思決定支援ツールに関する研究(その1) , 2007 .

[15]  Mohammad R. Jahanshahi,et al.  Computer-Aided Approach for Rapid Post-Event Visual Evaluation of a Building Façade , 2018, Sensors.

[16]  Reginald DesRoches,et al.  Crowdsourcing for Rapid Damage Assessment: The Global Earth Observation Catastrophe Assessment Network (GEO-CAN) , 2011 .

[17]  Toshihiro Osaragi,et al.  Estimate of the Number of People Walking Home After Compliance with Metropolitan Tokyo Ordinance on Measures Concerning Stranded Persons , 2019, Progress in IS.

[18]  Vedhus Hoskere,et al.  MaDnet: multi-task semantic segmentation of multiple types of structural materials and damage in images of civil infrastructure , 2020, Journal of Civil Structural Health Monitoring.

[19]  Xinzheng Lu,et al.  Automated regional seismic damage assessment of buildings using an unmanned aerial vehicle and a convolutional neural network , 2020 .

[20]  Kohei Fujita,et al.  The 2011 off the Pacific coast of Tohoku earthquake and response of high-rise buildings under long-period ground motions , 2011 .

[21]  Nelson Lam,et al.  Rapid assessment of seismic demand in existing building structures , 2009 .