Monitoring and Calibration of Long Term Mooring System Design Assumptions Through Use of AIS and Weather Data

2021 ◽  
Author(s):  
Dag Børre Lillestøl ◽  
Odd Torbjørn Kårvand ◽  
Are Torstensen

Abstract This paper outlines an approach on how to improve the mooring integrity of existing long term mooring systems by using existing and commercially available data. It will be demonstrated how the use of AIS and hindcast weather data can be used to increase understanding of mooring systems and to monitor and quantify gaps between "as-designed", "as-installed" and "as-is" of a long term mooring system. Long term moored units have traditionally suffered from many early failures, caused by damages and errors introduced in the installation phase, and costly and unnecessary "late in life" failures. A fact rated high on the agenda of the underwriters. Numerous papers have been written on this topic, but it is only in recent years the industry have started to ensure that systems are inspected to a sufficient degree with respect to the physical condition, taking these learnings into account. However, the second important element, the calibration of the mooring analysis vs. actual vessel and mooring system behavior/performance, have not yet gotten the attention required. Deviations from the intended design are introduced in the installation phase of a mooring system. In addition, the design assumptions will never be fully accurate. The gap between the design assumptions and the actual system will increase over time, and the industry today do not focus on mapping and quantifying the effect of this gap sufficiently. The described method explains how one can introduce a pro-active approach, without installing onboard equipment, but rather utilizing algorithms on existing data and design documentation. This paper focuses on the use of AIS data in combination with historic weather/environmental data and seek to demonstrate how this low-cost method can provide useful information with respect to the mooring system. To emphasize the mapped importance of such calibrations, the July 2021 Edition of the in-service DNV Class Rules, DNVGL-OS-0300, formally introduces requirements to calibration of design assumptions of long term mooring units through use of survey data, service history and actual mooring system behavior in order to ensure a unit's mooring system condition and performance is known in light of the original design assumptions.


2020 ◽  
Author(s):  
Achim J. Herrmann ◽  
Michelle M. Gehringer

1AbstractThe handling of oxygen sensitive samples and growth of obligate anaerobic organisms requires the stringent exclusion of oxygen, which is omnipresent in our normal atmospheric environment. Anaerobic workstations (aka. Glove boxes) enable the handling of oxygen sensitive samples during complex procedures, or the long-term incubation of anaerobic organisms. Depending on the application requirements, commercial workstations can cost up to 60.000 €. Here we present the complete build instructions for a highly adaptive, Arduino based, anaerobic workstation for microbial cultivation and sample handling, with features normally found only in high cost commercial solutions. This build can automatically regulate humidity, H2 levels (as oxygen reductant), log the environmental data and purge the airlock. It is built as compact as possible to allow it to fit into regular growth chambers for full environmental control. In our experiments, oxygen levels during the continuous growth of oxygen producing cyanobacteria, stayed under 0.03 % for 21 days without needing user intervention. The modular Arduino controller allows for the easy incorporation of additional regulation parameters, such as CO2 concentration or air pressure. This paper provides researchers with a low cost, entry level workstation for anaerobic sample handling with the flexibility to match their specific experimental needs.Specifications table[please fill in right-hand column of the table below]



Machines ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 68
Author(s):  
Giacomo Zuccon ◽  
Matteo Bottin ◽  
Marco Ceccarelli ◽  
Giulio Rosati

An elbow assisting device is presented as based on a cable-driven parallel mechanism with design solutions that are improvements from a previous original design. The new mechanism, ideal for domestic use, both for therapies and exercises, is characterized by low-cost, portable, easy-to-use features that are evaluated through numerical simulations and experimental tests whose results are reported with discussions.



2016 ◽  
Vol 100 ◽  
pp. 114-126 ◽  
Author(s):  
Akram Syed Ali ◽  
Zachary Zanzinger ◽  
Deion Debose ◽  
Brent Stephens


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246737
Author(s):  
Rajat Budhiraja ◽  
Manish Kumar ◽  
Mrinal K. Das ◽  
Anil Singh Bafila ◽  
Sanjeev Singh

Significant research in reservoir computing over the past two decades has revived interest in recurrent neural networks. Owing to its ingrained capability of performing high-speed and low-cost computations this has become a panacea for multi-variate complex systems having non-linearity within their relationships. Modelling economic and financial trends has always been a challenging task owing to their volatile nature and no linear dependence on associated influencers. Prior studies aimed at effectively forecasting such financial systems, but, always left a visible room for optimization in terms of cost, speed and modelling complexities. Our work employs a reservoir computing approach complying to echo-state network principles, along with varying strengths of time-delayed feedback to model a complex financial system. The derived model is demonstrated to act robustly towards influence of trends and other fluctuating parameters by effectively forecasting long-term system behavior. Moreover, it also re-generates the financial system unknowns with a high degree of accuracy when only limited future data is available, thereby, becoming a reliable feeder for any long-term decision making or policy formulations.



2021 ◽  
Author(s):  
Guillaume Jacquemin ◽  
Maria Benavente-Diaz ◽  
Samir Djaber ◽  
Aurélien Bore ◽  
Virginie Dangles-Marie ◽  
...  

AbstractIntravital microscopy (IVM) is a powerful technique that enables imaging of internal tissues at (sub)cellular resolutions in living animals. Here, we present a silicone-based imaging window consisting of a fully flexible, suture-less design that is ideally suited for long-term, longitudinal IVM of growing tissues and tumors. Crucially, we show that this window, without any customization, is suitable for numerous anatomical locations in mice using a rapid and standardized implantation procedure. This low-cost device represents a substantial technological and performance advance that facilitates intravital imaging in diverse contexts in higher organisms, opening new avenues for in vivo imaging of soft and fragile tissues.One-sentence summaryThis study presents a versatile, fully flexible imaging window that acts as an implantable transparent ‘second skin’ for small laboratory animal in vivo imaging.



2021 ◽  
Vol 44 (4) ◽  
Author(s):  
Lars B. Veldscholte ◽  
Rens J. Horst ◽  
Sissi de Beer

AbstractStable and precise control of humidity is imperative for a wide variety of experiments. However, commercially available humidistats (devices that maintain a constant humidity) are often prohibitively expensive. Here, we present a simple yet effective humidistat for laboratory-scale applications that can be easily and affordably (<€250) constructed based on an Arduino Uno as microcontroller, a set of proportional miniature solenoid valves, a gas washing bottle, and a humidity sensor. The microcontroller implements a PID controller that regulates the ratio of a dry and humid airflow. The design and implementation of the device, including a custom driver circuit for the solenoids, are described in detail, and the firmware is freely available online. Finally, we demonstrate its proper operation and performance through step response and long-term stability tests, which shows settling times of approx. 30 s and an attainable relative humidity range of 10–95%



2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Yosof M Khalifa ◽  
Farag S Alargt

  In this paper a Typical Meteorological Year (TMY) of Tripoli city, the capital of Libya was presented and analyzed using twelve year of measured weather data, this data includes global solar radiation, air temperature and wind speed. The measurements were taken every ten minutes. Finkelstein–Schafer statistical method was applied to analyze the data and obtain the TMY for the site. Typical Meteorological Months (TMMs) were selected by choosing the one with the least deviation from the long-term cumulative distribution function. A close-fit agreement is observed between the generated TMY and the long-term averages. Thus TMY generated will be very useful tool for optimal design and performance evaluation of solar energy conversion systems, heating, wind, and other renewable energy systems to be located in this part of Libya.



2006 ◽  
Vol 1 (2) ◽  
pp. 135-144 ◽  
Author(s):  
Daniel N Farhey

Interest in long-term durability and sustainability of bridges has challenged the development of modern bridge management. The structural condition and performance of bridges have drawn much economic and engineering attention. In comparison, the effective functionality of bridges is another major sustainability concern, affecting their safety, mobility, and life span. To reach cost-effective planning and systematic management, consideration of functionally obsolete bridges is essential. This article discusses the critical aspects of evaluation, traffic mobility, and congestion cost of functionally obsolete bridges. A methodology was developed for bridge functional obsolescence evaluation. Actual bridge inventory and conditions databases were studied to compile practical data that generates focused insight for decision-making. A forecast was developed to predict the number of functionally obsolete bridges in the future. Practical cost components of traffic congestion were discussed to facilitate consideration of better original design and construction versus reassignment design and work. The resulting study is practical for transportation agencies, officials, and researchers to support sustainable bridges by planning financial resources, management policies and strategies, design methods, and implementation practices.



2021 ◽  
Vol 6 (1) ◽  
pp. 52
Author(s):  
Yiğithan Kandur ◽  
Julius Harms ◽  
Thorsten A. Kern

Transformer-type inductive conductivity sensors (TICS) are the industry standard for long-term conductivity measurement in fluids. This paper analyzes the potential of TICS as a low-cost alternative to the cost-effective type of conductivity cells by an implementation with reduced complexity. Sensor characteristics and performance in comparison to high precision sensor are described in the study. Linearity and hysteresis error in measurement, reproducibility and permeability influenced by the temperature change are quantified through the experiments. The results were interpreted in regard to core material, geometric properties and noise shielding. The study presented in this paper provides a better understanding of performance and uncertainty characteristics in order to improve the design of low-cost transformer-type inductive conductivity sensors.



2021 ◽  
Vol 7 (25) ◽  
pp. eabg7663
Author(s):  
Guillaume Jacquemin ◽  
Maria Benavente-Diaz ◽  
Samir Djaber ◽  
Aurélien Bore ◽  
Virginie Dangles-Marie ◽  
...  

Intravital microscopy (IVM) is a powerful technique that enables imaging of internal tissues at (sub)cellular resolutions in living animals. Here, we present a silicone-based imaging window consisting of a fully flexible, sutureless design that is ideally suited for long-term, longitudinal IVM of growing tissues and tumors. Crucially, we show that this window, without any customization, is suitable for numerous anatomical locations in mice using a rapid and standardized implantation procedure. This low-cost device represents a substantial technological and performance advance that facilitates intravital imaging in diverse contexts in higher organisms, opening previously unattainable avenues for in vivo imaging of soft and fragile tissues.



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