Results 81 to 90 of about 1,001,378 (328)

Machine Learning-Based Method for Predicting the Mechanical Response of Prestressed Cable Tensioning in Aqueduct Structures

Buildings
The mechanical behavior of aqueduct structures exhibits highly complex characteristics during prestress tensioning, making it difficult for the traditional double-control method to accurately predict and real-time control the key stresses. To improve the
Yanke Shi, Xufang Liu, Yanjun Chang, Jie Chen, Duoxin Zhang, Yuping Kuang   +5 more
doaj   +1 more source

PROBABILISTIC FINITE ELEMENT ANALYSIS OF A HEAVY DUTY RADIATOR UNDER INTERNAL PRESSURE LOADING [PDF]

Journal of Engineering Science and Technology, 2017
Engine cooling is vital in keeping the engine at most efficient temperature for the different vehicle speed and operating road conditions. Radiator is one of the key components in the heavy duty engine cooling system.
ROBIN ROY P., V. HARIRAM, M. SUBRAMANIAN
doaj  

The probabilistic modeling and reliability analysis of brake shoes for hoist disc brake with correlated failure modes

Advances in Mechanical Engineering, 2020
In view of the lack of reliability research with correlated failure modes of the hoist disk shoes, the stochastic finite element method was used to analyze the reliability of multi-failure mode under emergency braking condition of disk shoe for deep well
Fengbin Ren, Guoan Chen, Hao Lu, Shuang Cao   +3 more
doaj   +1 more source

H-matrix based second moment analysis for rough random fields and finite element discretizations [PDF]

, 2017
We consider the efficient solution of strongly elliptic partial differential equations with random load based on the finite element method. The solution's two-point correlation can efficiently be approximated by means of an H- matrix, in particular if ...
Dölz, Jürgen, Harbrecht, Helmut, Peters, Michael   +2 more
core  

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Integrating the Finite Element Method with a Data-Driven Approach for Dam Displacement Prediction

Advances in Civil Engineering, 2020
Both numerical simulations and data-driven methods have been applied in dam’s displacement modeling. For monitored displacement data-driven methods, the physical mechanism and structural correlations were rarely discussed.
Chenfei Shao, Chongshi Gu, Zhenzhu Meng, Yating Hu   +3 more
doaj   +1 more source

Случайные колебания рам тележек вагонов метрополитена с учетом неровности пути [PDF]

, 2003
The problem of definition of probability performances of the bogie frames of transit vehicles at random action is considered. The random action is caused by track irregularities. The external load is modelled by the stationary random process.
Белоцерковский, Александр Борисович, Жовдак, В. А., Черных, О. В., Ярошок, Ю. А.   +3 more
core  

The stochastic Galerkin scaled boundary finite element method on random domain

International Journal for Numerical Methods in Engineering, 2016
SummaryThe research work extends the scaled boundary finite element method to non‐deterministic framework defined on random domain wherein random behaviour is exhibited in the presence of the random‐field uncertainties. The aim is to blend the scaled boundary finite element method into the Galerkin spectral stochastic methods, which leads to a ...
Do, Duy Minh, Gao, Wei, Saputra, Albert A., Song, Chongmin, Leong, Chi Hang   +4 more
openaire   +2 more sources

Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries

Advanced Functional Materials, EarlyView.
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai, Xiaoyu Huo, Xin Long, Enkang Fu, Xusong Gong, Lei Wei, Liang An   +6 more
wiley   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source