PROBABILIST ENG MECH 润色咨询

PROBABILISTIC ENGINEERING MECHANICS

出版年份:暂无数据 年文章数:1416 投稿命中率: 开通期刊会员,数据随心看

出版周期:Quarterly 自引率:1.8% 审稿周期: 开通期刊会员,数据随心看

前往期刊查询

投稿信息

投稿信息
审稿费用
暂无数据
版面费用
暂无数据
中国人发表比例
2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%)
自引率
1.8 %
年文章数
1416
期刊官网
点击查看 (点击次数:3490)
点击查看 (点击次数:1588次)
作者需知
暂无数据
偏重的研究方向
暂无数据
期刊简介
稿件收录要求
This journal provides a forum for scholarly work dealing primarily with probabilistic and statistical approaches to contemporary solid/structural and fluid mechanics problems encountered in diverse technical disciplines such as aerospace, civil, marine, mechanical, and nuclear engineering. The journal aims to maintain a healthy balance between general solution techniques and problem-specific results, encouraging a fruitful exchange of ideas among disparate engineering specialities. From time to time, review papers will be published to provide research and development oriented readers with state-of-the-art analyses of various areas of current interest. In addition, occasional papers of tutorial nature help enhance practice oriented readers' knowledge of the basic probabilistic and statistical techniques that are essential in present-day engineering practice design. In consultation with the editors, distinguished members of the probabilistic mechanics community may serve as guest editors for a special issue dedicated to a particular theme. Fields Covered: Aerospace engineering Damage-tolerant and durability design of aircraft Load spectra characterisation Random vibration of aerospace structures Civil engineering Geotechnical applications Natural hazards such as earthquakes, hurricanes, and waves Stochastic fluid mechanics/hydrology Structural response/control under natural hazards Marine engineering Offshore structures response to wind-induced waves Ship motion in a random sea Mechanical engineering Fatigue design Mechanical systems response/control Vehicle vibration Vibration isolation Nuclear engineering Probabilistic risk assessment Structural and equipment response to accidental loads Common to all disciplines Composite materials Damage mechanics Monte Carlo simulation Random fields Stochastic finite elements Stochastic optimization System reliability