scholarly journals Continuous Monitoring of High‐Rise Buildings Using Seismic Interferometry

2017 ◽  
Vol 107 (6) ◽  
pp. 2759-2773 ◽  
Author(s):  
Aurélien Mordret ◽  
Hao Sun ◽  
German A. Prieto ◽  
M. Nafi Toksöz ◽  
Oral Büyüköztürk
2014 ◽  
Vol 43 (15) ◽  
pp. 2361-2375 ◽  
Author(s):  
Mahdi Ebrahimian ◽  
Mohammadtaghi Rahmani ◽  
Maria I. Todorovska

2020 ◽  
Vol 164 ◽  
pp. 02026
Author(s):  
Svetlana Shendiapina ◽  
Ramidin Alisultanov

The unprecedented construction of large-span, high-rise and technically complex Olympic facilities in a very short time sets the goal of ensuring the engineering safety of the facilities being built. A necessary condition for its solution is a well-functioning system of continuous monitoring the state of load-bearing structures. It should be capable of identifying unacceptable deviations in the operability of the structure (reducing its reliability) and notifying operating services in a timely manner. The research is devoted to designing such systems. The research subject of the study is a set of requirements for monitoring systems for engineering structures. The feed data for the conducted studies was information about accidents that occurred at constructional projects with various purposes. Analysis of monitoring tools and controlled parameters was used as a research method. The paper investigated some of the existing monitoring systems. The following global monitoring tasks are formulated: what to control; how to control; controlled parameters.


2019 ◽  
Vol 28 (11) ◽  
pp. e1621 ◽  
Author(s):  
Diogo Ribeiro ◽  
Jorge Leite ◽  
Nuno Pinto ◽  
Rui Calçada

Author(s):  
Steven A. Lavender ◽  
Jay P. Mehta ◽  
Glenn E. Hedman ◽  
Sanghyun Park ◽  
Paul A. Reichelt ◽  
...  

2009 ◽  
Vol 47 (01) ◽  
Author(s):  
N Billecke ◽  
S Tröller ◽  
N Raschzok ◽  
MH Morgül ◽  
NN Kammer ◽  
...  

Metrologiya ◽  
2020 ◽  
pp. 25-42
Author(s):  
Dmitrii V. Khablov

This paper describes a promising method for non-contact vibration diagnostics based on the use of Doppler microwave sensors. In this case, active irradiation of the object with electromagnetic waves and the allocation of phase changes using two-channel quadrature processing of the received reflected signal are used. The modes of further fine analysis of the resulting signal using spectral or wavelet transformations depending on the nature of the active vibration are considered. The advantages of this non-contact and remote vibration analysis method for the study of complex dynamic objects are described. The convenience of the method for machine learning and use in intelligent systems of non-destructive continuous monitoring of the state of these objects by vibration is noted.


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