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Seismic assessment and finite element modeling of traditional vs innovative point fixed glass facade systems

This paper aims to assess the seismic performance of glazed facade systems, widely adopted in modern buildings, focusing on point fixed glass facade systems (PFGFSs), also referred to as “spider glazing”. ....

Noord Holland , New Zealand , United States , Zealand Baird , Jonathan Ciurlanti Stefano Pampanin , Jonathan Ciurlanti , Simona Bianchi , Zealand Pampanin , Stefano Pampanin , Simone Damore , Program University Of San Diego , University Of Canterbury , European Union Horizon , Swinburne University Of Technology , Sapienza University Of Rome , Department Architectural Engineering , Department Of Structural , Italian Ministry Of University , Swinburne University Of Technology Sivanerupan , Swinburne University Of Sivanerupan , Swinburne University , University Of Pavia , Simoned Amore , Earthquake Engineering , Point Fixed Glass Facade Systems , Point Fixed Glass Facade System ,

Sawbones® and Numalogics Announce Orthopedic Computational Model Validation & Commercial Partnership

Sawbones® and Numalogics Announce Orthopedic Computational Model Validation & Commercial Partnership
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United States , Amy Posch , Eric Gaudreau , Pacific Research Laboratories Inc , American Society For Testing Materials , Numalogics Inc , Pacific Research Laboratories , Finite Element Models , American Society , Design Engineer Biomechanical ,

Artificial intelligence for structural glass engineering applications

Overview, Case Studies and Future Potentials ....

United States , Pytorch Paszke , Keras Chollet , Technische Universit , Gaussians Goulet , Christian Linder , Jens Schneider Fachgebiet Statik , Tensorflow Abadi , Institute Of Structural Mechancis , Convolutional Neural Network , Stanford University Prof , Dartmouth University , Glass Product Development , Generative Adversarial Networks , Mm Network , Stanford University , Feedforward Neural Network , Glass Structures , Artificial Intelligence , Deep Learning , Machine Learning , Marvin Minsky , Silicon Valley , Unstructured Data , Fractured Glass , Finite Element ,

Machine learning applied to X-ray tomography as a new tool to analyse the voids in RRP Nb3Sn wires


Machine learning.
Machine learning applied to X-ray tomography as a new tool to analyse the voids in RRP Nb3Sn wires
19-05-2021
Scientists have developed a new tool to investigate the internal features of Nb3Sn superconducting wires, combining X-ray tomographic data acquired at beamline ID19 with an unsupervised machine-learning algorithm. The method provides new insights for enhancing wire performance.
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Interest in niobium-tin (Nb
3Sn) as a material for superconducting wires has recently been renewed because this material has been selected to replace niobium-titanium as the next step in accelerator magnet technology [1]. The design of these magnets relies on the availability of advanced Nb ....

M Yusoffm Zeehaida , N Aimi Salihah , University Of Geneva , Department Of Quantum Matter Physics , Restacked Rod Process , Finite Element Models , Quantum Matter Physics , Aimi Salihah , பல்கலைக்கழகம் ஆஃப் ஜிநீவ , துறை ஆஃப் குவாண்டம் விஷயம் இயற்பியல் , வரையறுக்கப்பட்ட உறுப்பு மாதிரிகள் , குவாண்டம் விஷயம் இயற்பியல் ,

Machine learning applied to X-ray tomography as a new tool to analyse the voids in RRP Nb3Sn wires

Machine learning applied to X-ray tomography as a new tool to analyse the voids in RRP Nb3Sn wires
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M Yusoffm Zeehaida , N Aimi Salihah , University Of Geneva , Department Of Quantum Matter Physics , Restacked Rod Process , Finite Element Models , Quantum Matter Physics , Aimi Salihah , பல்கலைக்கழகம் ஆஃப் ஜிநீவ , துறை ஆஃப் குவாண்டம் விஷயம் இயற்பியல் , வரையறுக்கப்பட்ட உறுப்பு மாதிரிகள் , குவாண்டம் விஷயம் இயற்பியல் ,