نتایج جستجو برای: self centering

تعداد نتایج: 528440  

Journal: :Journal of Structural Engineering-asce 2022

In this paper, we propose an assembled self-centering buckling-restrained brace (ASCBRB), which eliminates the residual drift of structures after a major horizontal displacement. The ASCBRB also represents advanced device for partial replacement damaged parts brace. Four groups prestressed disk springs and metal yielding core plate were used to improve resilience energy dissipation brace, respe...

Journal: :Journal of Structural and Construction Engineering (Transactions of AIJ) 2008

Journal: :Buildings 2023

In order to improve the force performance of traditional anti-buckling energy dissipation bracing with excessive non-recoverable deformation caused by strong seismic action, this paper presents a prestress-braced frame structure system shape memory alloy (SMA) and investigates its characteristics under horizontal load. Firstly, establishes theoretical analysis model analyzing geometric relation...

Journal: :New Directions for Adult and Continuing Education 2023

This article explores the impact of dual pandemics COVID-19 and White rage on critical consciousness-raising. It argues for a reimagining our democracy as practice collective liberation. then outlines framework social justice that moves beyond liberalism to self-interrogation, centering historically minoritized voices, accountability.

1993
Megumi Kameyama Rebecca J. Passonneau Massimo Poesio

We present a semantic and pragmatic account of the anaphoric properties of past and perfect that improves on previous work by integrating discourse structure, aspectual type, surface structure and commonsense knowledge. A novel aspect of our account is that we distinguish between two kinds of temporal intervals in the interpretation of temporal operators-discourse reference intervals and event ...

2013
Jan Melchior Asja Fischer Laurenz Wiskott

This work analyzes centered binary Restricted Boltzmann Machines (RBMs) and binary Deep Boltzmann Machines (DBMs), where centering is done by subtracting offset values from visible and hidden variables. We show analytically that (i) centering results in a different but equivalent parameterization for artificial neural networks in general, (ii) the expected performance of centered binary RBMs/DB...

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