找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computational Methods for Solids and Fluids; Multiscale Analysis, Adnan Ibrahimbegovic Book 2016 Springer International Publishing Switzerl

[复制链接]
楼主: urinary-tract
发表于 2025-3-30 10:53:22 | 显示全部楼层
978-3-319-80254-1Springer International Publishing Switzerland 2016
发表于 2025-3-30 15:55:28 | 显示全部楼层
https://doi.org/10.1007/978-3-642-54851-2level of the city and the urban district is particularly difficult to appreciate, because it involves huge geometries that must however be precisely detailed and finely meshed. It has become very important to simulate on this scale, principally energy exchanges, because the urban environment, with i
发表于 2025-3-30 20:35:18 | 显示全部楼层
Xu Qiao,Takanori Igarashi,Yen-Wei Chen solid or structure. It can be also applied for complete failure computation of a solid or structure that is performed by using a material failure model. In this work, we applied it for computations with the embedded-discontinuity finite elements that use rigid-plastic cohesive laws with softening t
发表于 2025-3-30 21:05:32 | 显示全部楼层
发表于 2025-3-31 01:55:29 | 显示全部楼层
发表于 2025-3-31 07:45:26 | 显示全部楼层
发表于 2025-3-31 09:10:45 | 显示全部楼层
Subspace Identification (1) — ORT fields (mechanical, chemical, electrical), occur at different scales, can appear as uncertain, and are nonlinear. Interacting with complex materials thus calls for developing nonlinear computational approaches where multi-scale techniques that grasp key phenomena at the relevant scale need to be mi
发表于 2025-3-31 13:27:51 | 显示全部楼层
Stochastic Realization Theory (2) model and the structure. Problem is addressed on the general level but after discretization and is formulated as a relationship between relevant parameters of the structure and its model. Scaling matrices in parameter and in measurement space are determined.
发表于 2025-3-31 20:28:18 | 显示全部楼层
Stochastic Realization Theory (2)en evaluating the non-linear Finite Element Model (FEM), simulations involving contact/friction and material non linearity on such small perturbations of the input data, a numerical noise alters the output data and distorts the statistical quantities and potentially inhibit the training of Uncertain
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-7-5 21:04
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表