Results 71 to 80 of about 124,946 (301)

Review and prospects of shear test of bolted rock joints

Deep Underground Science and Engineering, EarlyView.
The laboratory shear test equipment, test method, and numerical simulation of bolted rock joints were summarized. The shortcomings and limitations of the current research were analyzed, and the research prospects were proposed. Abstract Rock bolting is a critical approach in geotechnical engineering for supporting weak rocks.
Shulin Ren, Fan Yang, Manchao He, Yong Yuan, Zhigang Tao   +4 more
wiley   +1 more source

Zeroth-Order Riemannian Adaptive Regularized Proximal Quasi-Newton Optimization Method

Axioms
Recently, the adaptive regularized proximal quasi-Newton (ARPQN) method has demonstrated a strong performance in solving composite optimization problems over the Stiefel manifold.
Yinpu Ma, Cunlin Li, Zhichao Wang, Qian Li   +3 more
doaj   +1 more source

Weak‐Story Mitigation and Drift Redistribution in Moment‐Resisting Frames Using Stepping Rocking Walls

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This study investigates the seismic response of moment‐resisting frames retrofitted with a stepping rocking wall, with emphasis on weak‐story mitigation and residual drift reduction under both ordinary and pulse‐like ground motions. Nonlinear response‐history analyses are conducted on 9‐story and 20‐story SAC Los Angeles frames.
Mehrdad Aghagholizadeh
wiley   +1 more source

A quasi-Newton proximal splitting method

, 2012
A new result in convex analysis on the calculation of proximity operators in certain scaled norms is derived. We describe efficient implementations of the proximity calculation for a useful class of functions; the implementations exploit the piece-wise linear nature of the dual problem.
Becker, Stephen, Fadili, Jalal M.
openaire   +4 more sources

A Newton Collocation Method for Solving Dynamic Bargaining Games [PDF]

We develop and implement a collocation method to solve for an equilibrium in the dynamic legislative bargaining game of Duggan and Kalandrakis (2008). We formulate the collocation equations in a quasi-discrete version of the model, and we show that the ...
John Duggan, Tasos Kalandrakis
core  

Applied Element Modelling of Out‐Of‐Plane Instability in Boundary Elements of Thin RC Walls

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Recent earthquakes in Chile (2010) and New Zealand (2011) caused extensive damage to buildings featuring reinforced concrete (RC) structural walls, with observed failure modes including out‐of‐plane instability of slender walls. This buckling‐type response under combined in‐plane and out‐of‐plane loading has also been documented in ...
Andrea Orgnoni, Rui Pinho, João Pacheco de Almeida   +2 more
wiley   +1 more source

Diagonal quasi-Newton updating formula using log-determinant norm [PDF]

, 2015
Quasi-Newton method has been widely used in solving unconstrained optimization problems. The popularity of this method is due to the fact that only the gradient of the objective function is required at each iterate. Since second derivatives (Hessian) are
Siti Nur Iqmal Ibrahim, Sim, Hong Seng, Hong Seng Sim, Chuei Yee Chen, Ibrahim, Siti Nur Iqmal, Wah June Leong, Leong, Wah June, Chen, Chuei Yee   +7 more
core   +1 more source

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

A conjugate gradient quasi-newton method for structural optimisation

, 2006
Structural optimisation involves the constrained minimisation of functions or functionals and the majority of the methods employed utilise in some manner algorithms developed for unconstrained optimisation.
Davey, K.; id_orcid
core   +1 more source

Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu, Rong Guo, Ziwen Ke, Yudu Li, Yibo Zhao, Wen Jin, Ruihao Liu, Ziyu Meng, Yao Li, Zhi‐Pei Liang   +9 more
wiley   +1 more source