Empirical Investigation of the Junge Variability−Lifetime Relationship Using Long-Term Monitoring Data on Polychlorinated Biphenyl Concentrations in Air

2009 ◽  
Vol 43 (8) ◽  
pp. 2746-2752 ◽  
Author(s):  
Sara Becker ◽  
Crispin J. Halsall ◽  
Matthew MacLeod ◽  
Martin Scheringer ◽  
Kevin C. Jones ◽  
...  
Keyword(s):  
Empirical Investigation ◽  
Polychlorinated Biphenyl ◽  
Monitoring Data ◽  
Long Term Monitoring ◽  
Term Monitoring

Vibration Serviceability of Long Span Cable Bridges using Long-term Monitoring Data

2019 ◽  
Author(s):  
Eui-seung Hwang ◽  
Sun-Kon Kim ◽  
Do-Young Kim ◽  
Ki-Jung Park
Keyword(s):  
Monitoring Data ◽  
Suspension Bridges ◽  
Span Length ◽  
Bridge Design ◽  
Long Span ◽  
Vibration Serviceability ◽  
Long Term Monitoring ◽  
Deflection Limit ◽  
Term Monitoring

<p>Along with building slender and longer span structures, vibration serviceability becomes more important considerations in bridge design and maintenance. In this study, vibration serviceability and deflection limit for long span cable bridges are investigated using long-term monitoring data such as accelerations and displacements of bridges. Exampled bridges are Yi Sun-Sin Grand Bridge (suspension bridge, main span length=1,545m) and 2<sup>nd</sup> Jindo Grand Bridge (cable stayed bridge, main span length=344m). Long-term data are analyzed and compared with various design codes, guidelines, and other research results. Probability of exceedance are calculated for each criterion. Regarding on deflection limits, Korean Bridge Design Code (Limit State Design) specifies L/400 and L/350 for cable stayed and suspension bridges, respectively. Saadeghvaziri suggested deflection limit based on natural frequency, acceleration limit of 0.5 m/s² and vehicle speed. Various human comfort criteria on vibration are also applied including ISO standards. The results of this study are expected to be useful reference for the design, the proper planning and deflection review of the long span cable bridges around the world. Further researches are required to find the optimum deflection or vibration criteria for long span bridge and their effects on bridge clearance and elevation.</p>

Proposed evaluation methods for vibration serviceability of long span cable bridges

2021 ◽  
Author(s):  
E.-S. Hwang ◽  
M. T. Hwang ◽  
D. Y. Kim ◽  
K. J. Park
Keyword(s):  
Heavy Traffic ◽  
Damping Ratio ◽  
Flexible Structures ◽  
Evaluation Methods ◽  
Monitoring Data ◽  
Long Span ◽  
Vibration Serviceability ◽  
Long Term Monitoring ◽  
Term Monitoring

<p>Vibration serviceability becomes more important considerations in design and maintenance, especially for slender and flexible structures such as long span cable bridges. In this study, various evaluation methods for vibration serviceability for long span cable bridges are proposed. These methods are based on short and long-term monitoring data such as accelerations and displacements of bridges. Proposed methods include (1) method of evaluating vibration amplitude based on Reiher-Meister curves, (2) method of evaluating variations in natural frequencies and damping ratio,</p><p>(3) method of weighted rms(root-mean-square) acceleration based on ISO 2631-1, and (4) probabilistic analysis using long-term monitoring data. These methods are applied to example cable bridge and cases of normal traffic, heavy traffic, windy condition and sudden abnormal vibration are considered. The results of this study are expected to be implemented to real bridge monitoring system for real-time and periodic evaluation of vibration serviceability.</p>

scholarly journals Long-term monitoring data logs of a recirculating artificial seawater based colonial ascidian aquaculture

Data in Brief ◽  
2021 ◽  
Vol 38 ◽  
pp. 107372
Author(s):  
Marta K. Wawrzyniak ◽  
Lluìs Albert Matas Serrato ◽  
Simon Blanchoud
Keyword(s):  
Artificial Seawater ◽  
Monitoring Data ◽  
Colonial Ascidian ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals Reliability of long-term monitoring data

2013 ◽  
Vol 4 (1) ◽  
pp. 69-75 ◽  
Author(s):  
Peter Anderegg ◽  
Rolf Brönnimann ◽  
Urs Meier
Keyword(s):  
Monitoring Data ◽  
Long Term Monitoring ◽  
Term Monitoring
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