Results 51 to 60 of about 2,419,332 (252)

TOPO-Joint: Reliability-based topology optimization framework for 3D-printed building joints

, 2019
A Reliability-based Topology Optimization framework with the integration of a parametric design process and additive manufacturing technique is proposed in this paper. The proposed method is applied to design architectural and structural joints subjected
Park, Daekwon, Chun, Junho, Lee, Juhun
core   +1 more source

STATIC AND DYNAMIC MULTI-OBJECTIVE RELIABILITY TOPOLOGICAL OPTIMIZATION FOR TIPPING SHAFT STRUCTURE OF DUMP TRUCK

Jixie qiangdu, 2022
In view of the effect of random uncertain factors such as the material properties of the turning shaft and different load conditions on its performance, and reduce its weight to improve fuel economy.Through the finite element modeling of the dump truck ...
ZHOU Song, GAO Xiang, FAN TiQiang, WANG BinHua, ZHOU Jia, WAN XinMing, LI Yang   +6 more
doaj  

Real‐Time Ferroelectric Domain Wall Dynamics During Electric Poling and Depoling

Advanced Science, EarlyView.
Real‐time visualization of domain wall dynamics during alternating‐current poling, direct‐current poling, and electrical depoling in relaxor‐PT ferroelectric single crystals reveals distinct field‐dependent pathways and strong path dependence. Instant polarized light microscopy uncovers reversible domain wall nucleation, motion, and reconfiguration ...
Ziqi Wang, Zhengze Xu, Anastasia Timofeeva, Hossam Elnaggar, Sipan Liu, Yusen Pei, Reece Henry, Brendan O'Connor, Eunkyoung Shim, Franky So, Kara Peters, Xiaoning Jiang, Jun Liu   +12 more
wiley   +1 more source

Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing

Advanced Science, EarlyView.
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh, Ji Eun Kim, Suk Yeop Chun, Su In Hwang, Byung Seok Kim, Young Jae Lee, Ho Won Jang, Jung Ho Yoon   +7 more
wiley   +1 more source

Day-ahead transmission grid topology optimization considering renewable energy sources’ uncertainty

International Journal of Electrical Power & Energy Systems
The increasing penetration of renewable energy sources (RES) introduces significant uncertainty in power system operations. At the same time, the existing transmission grid is often congested, and grid reinforcements are frequently delayed.
Giacomo Bastianel, Dirk Van Hertem, Hakan Ergun, Line Roald   +3 more
doaj   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source

A Topology Control Algorithm for Sensor Networks Based on Robust Optimization

International Journal of Distributed Sensor Networks, 2015
In recent years, wireless sensor networks have been widely used in data acquisition, surveillance, event monitoring, and so forth. Topology control is an important issue in designing sensor networks. Considering the uncertainty of distance between nodes,
Junfeng Qiao, Sanyang Liu, Wei Duan
doaj   +1 more source

Efficient combination of topology and parameter optimization [PDF]

, 2014
This paper presents a combination method of Particle Swarm Optimization (PSO) and topology optimization. With this method a better result can be achieved compared with the sequential ap-plication of the two optimization methods.
Lin, Yusheng, Dadalau, Alexandru, Sun, Zheng, Verl, Alexander   +3 more
core   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Stochastic Sensitivity Analysis for Robust Topology Optimization

, 2017
Topology optimization under uncertainty poses extreme difficulty to the already challenging topology optimization problem. This paper presents a new computational method for calculating topological sensitivities of statistical moments of high-dimensional
Xuchun Ren, Zhang, Xiaodong, Xiaodong Zhang, Ren, Xuchun   +3 more
core   +1 more source