船舶力学
船舶力學
선박역학
JOURNAL OF SHIP MECHANICS
2015年
8期
927-933
,共7页
矿粉液化%ALE%晃荡%流固耦合%并行计算%区域分解
礦粉液化%ALE%晃盪%流固耦閤%併行計算%區域分解
광분액화%ALE%황탕%류고우합%병행계산%구역분해
liquefaction of ore fines%ALE%sloshing%fluid-structure interaction%parallel computing
含水量较高的矿粉货物在海上运输过程中易出现液化,形成自由表面并使晃荡现象加剧,严重威胁船舶运输安全。针对船载液化矿粉晃动和舱壁冲击问题,采用ALE有限元方法对其进行了细致建模和计算模拟,从三维角度考察了在船舱一定装载率和运动状态下液化矿粉的晃荡现象和特性;同时,借助不同仿真软件,对计算结果的合理性和准确性进行了相互比对和分析。模型求解借助了高性能计算资源,以解决问题求解时间长和多组计算工况带来的大规模计算需求;结合所建计算模型特点和流固耦合特性,研究了多核环境下两种不同区域分解策略和实现方式,通过并行计算性能数据比较分析,以探求更为合理的并行加速策略。
含水量較高的礦粉貨物在海上運輸過程中易齣現液化,形成自由錶麵併使晃盪現象加劇,嚴重威脅船舶運輸安全。針對船載液化礦粉晃動和艙壁遲擊問題,採用ALE有限元方法對其進行瞭細緻建模和計算模擬,從三維角度攷察瞭在船艙一定裝載率和運動狀態下液化礦粉的晃盪現象和特性;同時,藉助不同倣真軟件,對計算結果的閤理性和準確性進行瞭相互比對和分析。模型求解藉助瞭高性能計算資源,以解決問題求解時間長和多組計算工況帶來的大規模計算需求;結閤所建計算模型特點和流固耦閤特性,研究瞭多覈環境下兩種不同區域分解策略和實現方式,通過併行計算性能數據比較分析,以探求更為閤理的併行加速策略。
함수량교고적광분화물재해상운수과정중역출현액화,형성자유표면병사황탕현상가극,엄중위협선박운수안전。침대선재액화광분황동화창벽충격문제,채용ALE유한원방법대기진행료세치건모화계산모의,종삼유각도고찰료재선창일정장재솔화운동상태하액화광분적황탕현상화특성;동시,차조불동방진연건,대계산결과적합이성화준학성진행료상호비대화분석。모형구해차조료고성능계산자원,이해결문제구해시간장화다조계산공황대래적대규모계산수구;결합소건계산모형특점화류고우합특성,연구료다핵배경하량충불동구역분해책략화실현방식,통과병행계산성능수거비교분석,이탐구경위합리적병행가속책략。
Ore fines cargo with high moisture content is liable to liquefaction, making free surface emerg-ing and intensifying sloshing behavior, and finally pose a threat to marine transportation security. With the benefit of Arbitrary Lagrangian-Eulerian (ALE) finite element method, detailed modeling and refined sim-ulation were implemented to deal with shipping liquefied ore fines sloshing problem, and to investigate three-dimensional sloshing phenomena and characteristics with certain charging ratio and motion state. Two different numerical nodes were used to make comparison and analysis for rationality and accuracy of results. High-performance computing (HPC) resource was utilized to meet the challenge of large scale com-puting requirement due to time-consuming solving and load cases. In view of model size and fluid-structure intersection property, two domain decomposition plans were proposed to better improve load balance for multicore processors, and compared with parallel performance data to determine more reasonable parallel acceleration strategy.