Long-term structural monitoring of multi-story RC structures, based on data extracted from ambient noise and earthquake vibrations

Author(s):  
Alexandru Tiganescu ◽  
Bogdan Grecu ◽  
Iolanda-Gabriela Craifaleanu ◽  
Dragos Toma-Danila ◽  
Stefan-Florin Balan

<p>The impact of natural hazards on structures and infrastructures is a critical issue that needs to be properly addressed by both public and private entities. To better cope with seismic hazard and to mitigate the risk, long-term multi-sensor infrastructure monitoring represents a useful tool for acquiring information on their condition and vulnerability. However, the current increasing data volume collected using sensors is not suitable to be processed with classical standalone methods. Thus, automatic algorithms and decision-making frameworks should be developed to use this data, with minimum intervention from human operators. A case-study for the application of advanced methods is focused on the headquarters of the Institute for Atomic Physics, a 11-story reinforced concrete building, located near Bucharest, Romania. The instrumentation scheme consists of accelerometers installed at the basement, at an intermediate floor and at the top of the structure. The data were continuously recorded, starting with December 2013. More than 80 seismic events with moment magnitude, M<sub>W</sub>, larger than 3.8 were recorded during the monitoring period. The current study covers the long-term evolution and variation of dynamic parameters (one value per hour), based on both ambient noise sources and small and medium magnitude seismic events. The seasonal variation of these parameters will be determined, as well as their daily variation and the differences between values obtained from ambient noise and from earthquake-induced vibrations. Other atmospheric parameters (e.g. temperature, precipitation, wind speed) will be considered in future studies. The goal of the PREVENT project, in the framework of which the research is performed, is to collect multi-disciplinary data and to integrate them into a complex monitoring system. The current study achieved the first step, focusing on data from the seismic sensors and setting up the premises for a multi-sensor, multi-parameter, more reliable infrastructure monitoring system.  </p>

2021 ◽  
Vol 13 (18) ◽  
pp. 10206
Author(s):  
Ruijun Duan ◽  
Peng Guo

As China is facing the double pressure of economic growth as well as energy-saving and reduction of emissions, reducing electricity consumption without affecting economic development is a challenging and critical issue. Based on 31 provincial panel’s data in China from 2004 to 2018, this study empirically analyzes the direction and degree of the impact of financial development and trade openness on electricity consumption using the spatial econometric approach and panel vector autoregression (PVAR) model. The results indicate that China’s electricity consumption presents a significant spatial spill over effect, and the spatial agglomeration of electricity consumption in local regions is mainly HH clusters. A 1% positive change in financial development causes an increase of 0.089% in electricity consumption, but a 1% rise in financial development reduces electricity consumption of neighboring regions by 0.051%. A 1% positive change in trade openness decreases electricity consumption by 0.051%, while the spatial spillover effect of trade openness is not significant. It is also found that financial development has a long-term promoting effect on electricity consumption, while trade openness has a long-term inhibiting effect on electricity consumption.


2008 ◽  
Vol 1 (1) ◽  
pp. 39-59
Author(s):  
Allan Ricki ◽  
Andreas Raharso

The conditions for doing business are changing rapidly. In last few years the mobile telecom market has witnessed a substantial growth and rapid changes globally as well as domestically. Customer loyalty is a critical issue in the success of any business system, for this reason, the main condition for protecting the subscriber base is to win customer loyalty, a key necessity for the maintenance of a brand’s life in the long term. To achieve this aim, customer loyalty must be measured and “switching costs” identified. The latter render subscribers’ preference for rival operator more expensive. In this connection, this study aim is to measure the impact of switching costs on customer loyalty, and the direct and indirect of “switching costs” on customer loyalty. For doing so, a survey has been performed on customers of the prepaid and postpaid mobile service operator in Indonesia, questionnaire were distributed among them and the results analyzed base upon the proposed research questions and hypotheses, and finally the conclusions and implications were made.


Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 808
Author(s):  
Kuo-Chung Chang ◽  
Yu-Kai Gao ◽  
Shih-Cheng Lee

The prevalence of the internet as firm’s primary channel of operations and marketing in recent decades has made information security management a critical issue for firms. Yet, previous research on the information security issue have mostly focused on the impact of information security events on firms’ short-term value. Their impact on firms’ long-term value is rarely analyzed. Corporate managers have also largely dismissed the negative long-term impact of information security breaches by considering them as accidental and arguing that their frequency in recent years has instigated a sense of numbness in customers to their regards. Consequently, managers have paid little attention to information security investments. To assess the importance of information security investment, this study examines short-term and long-term stock market assessment of data breaches events at publicly traded companies. The findings of this study offer new insights for firms in assessing information security investment.


Author(s):  
Elisabetta Pistone ◽  
Hanno Töll ◽  
Thomas Hauser

<p>This paper presents the results of a continuous monitoring system placed on the Metro line in Vienna, Austria, aimed at assessing the long-term behaviour of massive train wheels. Until today, conventional resilient wheels are used on Viennese metro trains. However, it is planned to substitute this type of wheels with massive wheels.</p><p>Since 2016 three train sets were therefore equipped with massive wheels and let circulate in the underground railway network under trial runs. Nine measuring systems were installed within the metro network in the form of monitoring stations to continuously record data during these train passages. Selected indicators are permanently measured, post-processed and transmitted in real time to a web-interface accessible. On the basis of approximately 2,000 daily recorded trains, statistical analysis has been performed, thus providing information on train condition and on the impact of massive wheels.</p>


2011 ◽  
Vol 70 (1) ◽  
pp. 5-11 ◽  
Author(s):  
Beat Meier ◽  
Anja König ◽  
Samuel Parak ◽  
Katharina Henke

This study investigates the impact of thought suppression over a 1-week interval. In two experiments with 80 university students each, we used the think/no-think paradigm in which participants initially learn a list of word pairs (cue-target associations). Then they were presented with some of the cue words again and should either respond with the target word or avoid thinking about it. In the final test phase, their memory for the initially learned cue-target pairs was tested. In Experiment 1, type of memory test was manipulated (i.e., direct vs. indirect). In Experiment 2, type of no-think instructions was manipulated (i.e., suppress vs. substitute). Overall, our results showed poorer memory for no-think and control items compared to think items across all experiments and conditions. Critically, however, more no-think than control items were remembered after the 1-week interval in the direct, but not in the indirect test (Experiment 1) and with thought suppression, but not thought substitution instructions (Experiment 2). We suggest that during thought suppression a brief reactivation of the learned association may lead to reconsolidation of the memory trace and hence to better retrieval of suppressed than control items in the long term.


2003 ◽  
Author(s):  
Teresa Garate-Serafini ◽  
Jose Mendez ◽  
Patty Arriaga ◽  
Larry Labiak ◽  
Carol Reynolds

2014 ◽  
Vol 75 (S 02) ◽  
Author(s):  
Morten Lund-Johansen ◽  
Øystein Tveiten ◽  
Monica Finnkirk ◽  
Erling Myrseth ◽  
Frederik Goplen ◽  
...  

2018 ◽  
pp. 70-84
Author(s):  
Ph. S. Kartaev ◽  
Yu. I. Yakimova

The paper studies the impact of the transition to the inflation targeting regime on the magnitude of the pass-through effect of the exchange rate to prices. We analyze cross-country panel data on developed and developing countries. It is shown that the transition to this regime of monetary policy contributes to a significant reduction in both the short- and long-term pass-through effects. This decline is stronger in developing countries. We identify the main channels that ensure the influence of the monetary policy regime on the pass-through effect, and examine their performance. In addition, we analyze the data of time series for Russia. It was concluded that even there the transition to inflation targeting led to a decrease in the dependence of the level of inflation on fluctuations in the ruble exchange rate.


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