Online simultaneous reconstruction of wind load and structural responses for high-rise structures

Y. Niu, C. P. Fritzen, Yiqing Ni

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

The actual wind load information is critical for evaluating the health status of highrise structures after experiencing extreme events, e.g. typhoons. However, as a type of distributed load, the wind load is difficult to be measured directly. A possible solution is to reconstruct it from the structural response measurements. This process is often an ill-posed inverse problem. In this paper, a steady-state Kalman filter based unknown input estimator is adopted to solve the above mentioned ill-posed inverse problem by fulfilling some stability criteria. Being translated from mathematics, such stability criteria are actually some requirements on sensor type, sensor number and sensor position. This type of estimator is real-time executable and is capable of estimating the unknown input and the system states within in one sampling time, which indicates the online reconstruction of wind load and structural responses is possible. The 600 meter tall Canton Tower is situated in a typhoon active area, and a structural health monitoring (SHM) system has already been integrated onto this tower. This makes it an ideal testbed for validating the above illustrated wind load reconstruction stragtegy. Measurements obtained during the Typhoon "Nanmadol" and the Typhoon "Kai-tak" are analyzed and the reconstruction results are presented.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2013
Subtitle of host publicationA Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
PublisherDEStech Publications
Pages327-334
Number of pages8
Volume1
ISBN (Electronic)9781605951157
Publication statusPublished - 1 Jan 2013
Event9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013 - Stanford University, Stanford, United States
Duration: 10 Sep 201312 Sep 2013

Conference

Conference9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013
Country/TerritoryUnited States
CityStanford
Period10/09/1312/09/13

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management

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