Estimation of Dynamic Interstory Drift in Buildings Using Wireless Smart Sensors

Author:

Gomez Fernando1,Fu Yuguang2ORCID,Hoang Tu3,Mechitov Kirill4ORCID,Spencer Billie F.5

Affiliation:

1. Professor, College of Science and Engineering, Universidad San Francisco de Quito, Brillat-Savarin Bldg., BS-216, Diego de Robles s/n, Quito 170901, Ecuador.

2. Assistant Professor, School of Civil and Environmental Engineering, Nanyang Technological Univ., 50 Nanyang Ave., Singapore 639798 (corresponding author). ORCID: .

3. Structural Engineer, Geocomp, 14 Dover St., Worcester, MA 01609.

4. Chief Technology Officer, Embedor Technologies, 60 Hazelwood Dr., Champaign, IL 61801. ORCID:

5. Nathan M. & Anne M. Newmark Endowed Chair in Civil Engineering, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 205 N. Matthews Ave., Urbana, IL 61801.

Publisher

American Society of Civil Engineers (ASCE)

Reference40 articles.

1. Abé M. and Y. Fujino. 2017. “Displacement based monitoring of civil structures.” In Proc. 13th Int. Workshop on Advanced Smart Materials and Smart Structures Technology. Kobe Japan: Asian-Pacific Network of Centers for Research in Smart Structure Technology.

2. Interstory drift monitoring in smart buildings using laser crosshair projection

3. A Synchronized Wireless Sensor Network for Experimental Modal Analysis in Structural Health Monitoring

4. Calibrator C. 2019. “Detect checkerboard pattern in image—MATLAB detectCheckerboardPoints.” Accessed January 4 2019. https://www.mathworks.com/help/vision/ref/detectcheckerboardpoints.html.

5. xShake: Intelligent wireless system for cost-effective real-time seismic monitoring of civil infrastructure;Fu Y.;Smart Struct. Syst.,2021

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