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RISS 인기검색어
- 검색키워드
- 저자 : Marante, Carlos (검색결과 3 건)
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Using a feed forward ANN to model the inelastic behaviour of confined sandwich panels
María E. Marante,Wilmer J. Barreto,Ricardo A. Picón 국제구조공학회 2019 Structural Engineering and Mechanics, An Int'l Jou Vol.71 No.5
The analysis and design of complex structures like sandwich-panel elements are difficult; the use of finite element method for the analysis is complicated and time consuming when non-linear effects are considered. On the other hand, artificial neural network (ANN) models can capture the non-linear effects and its application requires lesser computational demand. Two ANN models were trained, tested and validated to compute the force for a given displacement of a sandwich-type roof element; 2555 force and element deformation pairs were used for training the ANN models. For the models trained without considering the damping effect, there were two values in the input layer: maximum displacement and current displacement, and for the model considering damping, displacement from the previous step was used as an additional input. Totally, 400 ANN models were trained. Results show that there is a good agreement between the experimental and simulated data, and the models showed a good performance with a mean square error value of 4548.85. Both the ANN models could simulate the inelastic behaviour, loss of rigidity, and evolution of permanent displacements. The models could also interpolate and extrapolate, which enables them to be used as an analysis and design tool for such complex elements.
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Angular dependence of photoemission time delay in helium
Heuser, Sebastian,Jimé,nez Galá,n, Á,lvaro,Cirelli, Claudio,Marante, Carlos,Sabbar, Mazyar,Boge, Robert,Lucchini, Matteo,Gallmann, Lukas,Ivanov, Igor,Kheifets, Anatoli S.,Dahlstr&oum American Physical Society 2016 Physical Review A Vol.94 No.6
<P>Time delays of electrons emitted from an isotropic initial state with the absorption of a single photon and leaving behind an isotropic ion are angle independent. Using an interferometric method involving XUV attosecond pulse trains and an IR-probe field in combination with a detection scheme, which allows for full three-dimensional momentum resolution, we show that measured time delays between electrons liberated from the 1s(2) spherically symmetric ground state of helium depend on the emission direction of the electrons relative to the common linear polarization axis of the ionizing XUV light and the IR-probing field. Such time delay anisotropy, for which we measure values as large as 60 as, is caused by the interplay between final quantum states with different symmetry and arises naturally whenever the photoionization process involves the exchange of more than one photon. With the support of accurate theoretical models, the angular dependence of the time delay is attributed to small phase differences that are induced in the laser-driven continuum transitions to the final states. Since most measurement techniques tracing attosecond electron dynamics involve the exchange of at least two photons, this is a general and significant effect that must be taken into account in all measurements of time delays involving photoionization processes.</P>
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Low Carbon London A Large Scale Low Carbon Smart Grid Project
Marantes, Cristiano,Openshaw, Dave 대한전기학회 2012 The Journal of International Council on Electrical Vol.2 No.2
UK Power Networks (UKPN) has been allocated funding of nearly ${\pounds}$25m by the UK energy regulator, Ofgem, to trial innovative commercial and technical solutions to distribution networks management to meet the challenges emerging from the growth in low carbon technologies such as electric vehicles, heat pumps and distributed generation. The Low Carbon London project [1] will focus on facilitating technologies to achieve carbon reduction targets, while exploring the role of distribution network operators to enable and share benefits throughout the low carbon supply chain. The project will trial new smart grid technologies and commercial arrangements with real London communities and businesses between 2011 and 2014. Through a series of coordinated trials, the project will demonstrate the impact on, and the role of, the distribution network in meeting low carbon objectives.
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