STRUCTURAL CONTROL OF A SMALL-SCALE TEST-BED SHAKER STRUCTURE USING A SPONGE-TYPE MAGNETO-RHEOLOGICAL FLUID DAMPER

In this paper we present a new agent-based model, CDYS – Complex DYnamic System, for intelligent, flexible, and context-aware multi-modal interaction on autonomous system. This model is focused on context models which facilitate the communication and the knowledge representation with an highly-customized and adaptable representation and distribution of the entities composing the environment. CDYS uses information from multiple perceptions and provides proactive real-time updates and context-specific guidance in the state representation and synthesis. Our work includes the design of interaction, evolution, context definition by states and ontologies; communication, context, task models based on these ontologies, a set of representations of perception to drive agent behavior, communication, and a compatible integration of rules and machine learning aimed to improve information retrieval and the Semantic web. Currently, we have completed the first stage of our research, producing first pass Ontologies, models, and the interaction to apply genetic algorithm to improve the global ontology, by local ontology representation, tested with an initial prototype of a small-scale test-bed on clustering for self improving of the agent’s knowledge base .Our approach is based on social systems in context-aware applications, informed by Autopoietic Systems, to use a system (an agent) that is able to describe and manage the evolution of its environment and of the knowledge base in the autopoietic based model.

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System Identification of a 200 kN Magneto-Rheological Fluid Damper for Structural Control in Large-Scale Smart Structures

2007 American Control Conference ◽

10.1109/acc.2007.4282927 ◽

2007 ◽

Cited By ~ 10

Author(s):

Brent J. Bass ◽

Richard E. Christenson

Keyword(s):

System Identification ◽

Structural Control ◽

Large Scale ◽

Smart Structures ◽

Fluid Damper ◽

Magneto Rheological

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TORCH: a TOSCA-Based Orchestrator of Multi-Cloud Containerised Applications

Journal of Grid Computing ◽

10.1007/s10723-021-09549-z ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Orazio Tomarchio ◽

Domenico Calcaterra ◽

Giuseppe Di Modica ◽

Pietro Mazzaglia

Keyword(s):

Service Providers ◽

Cloud Services ◽

Small Scale ◽

Test Bed ◽

Disruptive Technologies ◽

Scale Test ◽

Application Requirements ◽

Cloud Applications ◽

Multi Cloud ◽

Orchestration Tools

AbstractThe growth in the number and types of cloud-based services offered to IT customers is supported by the constant entry of new actors in the market and the consolidation of disruptive technologies such as AI, Big Data and Micro-services. From the customer’s perspective, in a market landscape where the cloud offer is highly diversified due to the presence of multiple competing service providers, picking the service that best accommodate their specific needs is a critical challenge. Once the choice is made, so called “cloud orchestration tools” (orchestrators) are required to take care of the customer application’s life-cycle. While big players offer their customers proprietary orchestrators, in the literature quite a number of open-source initiatives have launched multi-cloud orchestrators capable of transparently managing applications on top of the most representative cloud platforms. In this paper, we propose TORCH, a TOSCA-based framework for the deployment and orchestration of cloud applications, both classical and containerised, on multiple cloud providers. The framework assists the cloud customer in defining application requirements by using standard specification models. Unlike other multi-cloud orchestrators, adopts a strategy that separates the provisioning workflow from the actual invocation of proprietary cloud services API. The main benefit is the possibility to add support to any cloud platforms at a very low implementation cost. In the paper, we present a prototypal implementation of TORCH and showcase its interaction with two different container-based cluster platforms. Preliminary performance tests conducted on a small-scale test-bed confirm the potential of TORCH.

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Parametric Study of Damping Characteristics of Magneto-Rheological Damper: Mathematical and Experimental Approach

Pollack Periodica ◽

10.1556/606.2020.15.3.4 ◽

2020 ◽

Vol 15 (3) ◽

pp. 37-48

Author(s):

Zubair Rashid Wani ◽

Manzoor Ahmad Tantray

Keyword(s):

Structural Control ◽

Research Work ◽

Testing Machine ◽

Input Voltage ◽

Damping Coefficient ◽

Control Technique ◽

Damping Force ◽

Active Devices ◽

Active Structural Control ◽

Magneto Rheological

The present research work is a part of a project was a semi-active structural control technique using magneto-rheological damper has to be performed. Magneto-rheological dampers are an innovative class of semi-active devices that mesh well with the demands and constraints of seismic applications; this includes having very low power requirements and adaptability. A small stroke magneto-rheological damper was mathematically simulated and experimentally tested. The damper was subjected to periodic excitations of different amplitudes and frequencies at varying voltage. The damper was mathematically modeled using parametric Modified Bouc-Wen model of magneto-rheological damper in MATLAB/SIMULINK and the parameters of the model were set as per the prototype available. The variation of mechanical properties of magneto-rheological damper like damping coefficient and damping force with a change in amplitude, frequency and voltage were experimentally verified on INSTRON 8800 testing machine. It was observed that damping force produced by the damper depended on the frequency as well, in addition to the input voltage and amplitude of the excitation. While the damping coefficient (c) is independent of the frequency of excitation it varies with the amplitude of excitation and input voltage. The variation of the damping coefficient with amplitude and input voltage is linear and quadratic respectively. More ever the mathematical model simulated in MATLAB was in agreement with the experimental results obtained.

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