Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2023Monitoring seismic damage via Accelerometer data alone using Volterra series and genetic algorithmcitations
  • 2019Cyclic polypropylene pipeline coating interface strength with granular materials at low stresscitations
  • 2018Development of a High Channel Count Distributed Data Acquisition System for Shaking Table Testingcitations
  • 2012Current Capabilities and Future Roles for Internet Distributed Large Scale Real-Time Seismic Testingcitations

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Alexander, Nicholas
1 / 1 shared
Kashani, Mohammad Mehdi
1 / 17 shared
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2023
2019
2018
2012

Co-Authors (by relevance)

  • Alexander, Nicholas
  • Kashani, Mohammad Mehdi
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document

Development of a High Channel Count Distributed Data Acquisition System for Shaking Table Testing

  • Dietz, Matt
Abstract

Collecting data during shaking table tests is often challenging because the presence of the instrumentation and the associated cabling has the potential to affect the dynamic behaviour of the model. This is particularly true if the specimen being tested exhibits any form of rocking behaviour as any instrumentation cabling running between the rocking components has the potential to add significant undesirable stiffness across the joints. This issue has been encountered in some ongoing research at the University of Bristol investigating the seismic performance of Advanced Gas Cooled Nuclear Reactor Cores. To overcome the limitations associated with conventional systems, a distributed acquisition system has been developed. The new system is comprised of high sample rate, 32 channel simultaneous-sample-and-hold acquisition units (µDAQs) that are small enough to be embedded inside the model components. These µDAQs are then daisy-chained together with miniature flexible ribbon cable that provides power, synchronisation and network communication signals. Data are collected on the micro SD cards integral to each µDAQ and from which they can be uploaded once a test is complete. This paper gives an overview of the design of the µDAQ system followed by a demonstration of its capability. Theoretically, the maximum channel count of the µDAQ system is circa 14,000 (i.e. 63 strings each of 7 µDAQs each acquiring 32 channels of data) with a rate of 5,000 samples per second. It has the potential for use in other experimental programmes where high channel count, high speed, simultaneous-sample-and-hold, and minimal-wiring data acquisition is required.

Topics
  • impedance spectroscopy
  • gas cooled