19 research outputs found

    Sensitivity Of A Nonlinear TMD Effectiveness With Respect To Uncertainties In The Structural Parameters

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    Tuned mass dampers are found to be effective in enhancing structural performance of build-ings subjected to wind and seismic loads. This paper provides insights on the sensitivity of a Nonlinear Hysteretic Tuned Mass Damper (TMD) in mitigation of seismic induced vibrations under uncertainties present in structural parameters. A 2-DOF reduced ordered model of the structure and TMD is used to optimize the parameters of TMD when structure is subjected to Nonstationary excitations. A 3- dimensional 5-storey scaled down building is modeled in Opensees to have a high-fidelity model of the structure. Modified Bouc-Wen Hysteresis model is implemented in Opensees to mimic the performance of the Nonlinear TMD. Optimal design parameters of Nonlinear TMD obtained using the 2-DOF reduced ordered model are em- When structural parameters are subjected to uncertainties, the effectiveness of the optimal Non-linear TMD is studied. Various sensitivity analysis techniques are employed in ranking the pa-rameters of the structure that are effecting the performance of the TMD. It is observed that, the damping in the structure and variation in the position of additional mass in orthogonal direc-tion to direction of motion of structure are parameters that are effecting the performance of TMD

    A liquid-junction-free reference electrode based on a PEDOT solid-contact and ionogel capping membrane

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    Liquid-junction-free reference electrodes were prepared on screen printed substrates using poly-3,4-ethylenedioxythiophene (PEDOT) as solid-contact and novel ionogels as capping membrane. The chemico-physical properties of the PEDOT layer were tuned by changing the electropolymerization media and electrodeposition technique. Particularly, electrodepositing PEDOT films potentiostatically or potentiodynamically impacted on the traces of the potential of the electrodes during the conditioning step. In addition, the choice of the capping membrane formulation, e.g., acrylate monomers, ionic liquid, cross-linkers and photo-initiators, was adjusted to obtain electrodes with properties almost equivalent of a standard reference electrode. Thus, calibration plots of Na+ ion-selective electrodes against the optimized solid-contact ionogel reference electrodes (SCI-REs) or against a double-liquid junction Ag/AgCl electrode did not present any significant difference. Such SCI-REs may provide an effective route to the generation of future low-cost components for potentiometric sensing strips

    Properties and customization of sensor materials for biomedical applications.

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    Low-power chemo- and biosensing devices capable of monitoring clinically important parameters in real time represent a great challenge in the analytical field as the issue of sensor calibration pertaining to keeping the response within an accurate calibration domain is particularly significant (1–4). Diagnostics, personal health, and related costs will also benefit from the introduction of sensors technology (5–7). In addition, with the introduction of Registration, Evaluation, Authorization, and Restriction of Chemical Substances (REACH) regulation, unraveling the cause–effect relationships in epidemiology studies will be of outmost importance to help establish reliable environmental policies aimed at protecting the health of individuals and communities (8–10). For instance, the effect of low concentration of toxic elements is seldom investigated as physicians do not have means to access the data (11)

    Nuclear astrophysics with radioactive ions at FAIR

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    The nucleosynthesis of elements beyond iron is dominated by neutron captures in the s and r processes. However, 32 stable, proton-rich isotopes cannot be formed during those processes, because they are shielded from the s-process flow and r-process, ÎČ-decay chains. These nuclei are attributed to the p and rp process. For all those processes, current research in nuclear astrophysics addresses the need for more precise reaction data involving radioactive isotopes. Depending on the particular reaction, direct or inverse kinematics, forward or time-reversed direction are investigated to determine or at least to constrain the desired reaction cross sections. The Facility for Antiproton and Ion Research (FAIR) will offer unique, unprecedented opportunities to investigate many of the important reactions. The high yield of radioactive isotopes, even far away from the valley of stability, allows the investigation of isotopes involved in processes as exotic as the r or rp processes

    Study of AES and its Efficient Software Implementation

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    This work aims to familiarize the reader with the concepts behind AES or Advanced Encryption Standard. This work shall serve as a useful starting point for those who are interested in thinking along lines of software implementation of AES. To do this we shall go over some basic definitions in the context of AES and then explain AES at large from the perspective of various authors and papers. After this a brief discussion of an efficient software implementation of AES shall follow

    Dermoscopy of Bowenñ€ℱs Disease in Brown Skin: A Case Report

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    Bowenñ€ℱs disease (BD) is a rare pre-malignant intraepithelial tumor affecting older adults and should be differentiated from other pigmented lesions including pigmented basal cell carcinoma, melanocytic nevus and melanoma. Therefore, distinction of BD is difficult clinically, requiring histopathology for confirmation. Since it is a pre-malignant condition, management highly depends on the accurate diagnosis. Hence, there is a need for diagnostic technique which can clinically diagnose BD. Authors evaluated dermoscopic patterns in BD and found specific patterns which are characteristic of BD and it would aid in the early detection of BD

    Global Optimization of a Turbine Design via Neural Networks and an Evolutionary Algorithm

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    This work discusses an effective approach to find the optimal solution for constrained engineering design problems. Specifically, the computational platform herein implemented exploits a neural network and a differential evolution algorithm, and it leverages on a parametric finite element modelling for the fully automation of the design process. The presented approach is applied to the design of the rear flange of a low-pressure turbine casing for an aircraft engine, whose shape is optimized in order to reduce the manufacturing cost while preserving the overall integrity through the fulfilment of stress-based constraints

    A Double Activation Method for the Conversion of Vinyl Epoxides into <i>vic</i>-Amino Alcohols and Chiral Benzoxazine/Quinoxaline Derivatives

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    A new method for the synthesis of 1,2-<i>syn-vic</i> amino alcohols (with double inversion of configuration) from vinyl epoxides, by the amination of a π-allyl palladium–borate complex generated by using Pd(0) and phenyl-<i>o</i>-phenylene borate (a double activation technique), is reported. Further, this new method with broad functional group compatibility was extended to a one-pot/two-step synthesis of chiral benzoxazine and quinoxaline derivatives
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