{"title":"Finite element solution of thermal convection on a hypercube concurrent computer","authors":"M. Gurnis, A. Raefsky, G. Lyzenga, B. Hager","doi":"10.1145/63047.63070","DOIUrl":null,"url":null,"abstract":"Numerical solutions to thermal convection flow problems \nare vital to many scientific and engineering problems. \nOne fundamental geophysical problem is the thermal convection \nresponsible for continental drift and sea floor \nspreading. The earth's interior undergoes slow creeping \nflow (~cm/yr) in response to the buoyancy forces generated \nby temperature variations caused by the decay of \nradioactive elements and secular cooling. Convection in \nthe earth's mantle, the 3000 km thick solid layer between \nthe crust and core, is difficult to model for three reasons: \n(1) Complex rheology -- the effective viscosity depends \nexponentially on temperature, on pressure (or depth) and \non the deviatoric stress; (2) the buoyancy forces driving \nthe flow occur in boundary layers thin in comparison to the \ntotal depth; and (3) spherical geometry -- the flow in the \ninterior is fully three dimensional. Because of these many \ndifficulties, accurate and realistic simulations of this process \neasily overwhelm current computer speed and memory \n(including the Cray XMP and Cray 2) and only simplified \nproblems have been attempted [e.g. Christensen and \nYuen, 1984; Gurnis, 1988; Jarvis and Peltier, 1982]. \n \nAs a start in overcoming these difficulties, a number of \nfinite element formulations have been explored on hypercube \nconcurrent computers. Although two coupled equations \nare required to solve this problem (the momentum \nor Stokes equation and the energy or advection-diffusion \nequation), we will concentrate our efforts on the solution \nto the latter equation in this paper. Solution of the former \nequation is discussed elsewhere [Lyzenga, et al, 1988]. \nWe will demonstrate that linear speedups and efficiencies \nof 99 percent are achieved for sufficiently large problems.","PeriodicalId":299435,"journal":{"name":"Conference on Hypercube Concurrent Computers and Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Hypercube Concurrent Computers and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/63047.63070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Numerical solutions to thermal convection flow problems
are vital to many scientific and engineering problems.
One fundamental geophysical problem is the thermal convection
responsible for continental drift and sea floor
spreading. The earth's interior undergoes slow creeping
flow (~cm/yr) in response to the buoyancy forces generated
by temperature variations caused by the decay of
radioactive elements and secular cooling. Convection in
the earth's mantle, the 3000 km thick solid layer between
the crust and core, is difficult to model for three reasons:
(1) Complex rheology -- the effective viscosity depends
exponentially on temperature, on pressure (or depth) and
on the deviatoric stress; (2) the buoyancy forces driving
the flow occur in boundary layers thin in comparison to the
total depth; and (3) spherical geometry -- the flow in the
interior is fully three dimensional. Because of these many
difficulties, accurate and realistic simulations of this process
easily overwhelm current computer speed and memory
(including the Cray XMP and Cray 2) and only simplified
problems have been attempted [e.g. Christensen and
Yuen, 1984; Gurnis, 1988; Jarvis and Peltier, 1982].
As a start in overcoming these difficulties, a number of
finite element formulations have been explored on hypercube
concurrent computers. Although two coupled equations
are required to solve this problem (the momentum
or Stokes equation and the energy or advection-diffusion
equation), we will concentrate our efforts on the solution
to the latter equation in this paper. Solution of the former
equation is discussed elsewhere [Lyzenga, et al, 1988].
We will demonstrate that linear speedups and efficiencies
of 99 percent are achieved for sufficiently large problems.
热对流流动问题的数值解对于许多科学和工程问题都是至关重要的。一个基本的地球物理问题是引起大陆漂移和海底扩张的热对流。由于放射性元素衰变和长期冷却引起的温度变化所产生的浮力,地球内部经历缓慢的爬行流动(~cm/yr)。地幔(地壳和地核之间3000公里厚的固体层)中的对流很难建模,原因有三:(1)复杂的流变学——有效粘度以指数形式取决于温度、压力(或深度)和偏应力;(2)驱动流动的浮力发生在相对于总深度较薄的边界层中;(3)球面几何——内部的流动完全是三维的。由于这些困难,对这一过程的准确和真实的模拟很容易超过当前的计算机速度和内存(包括Cray XMP和Cray 2),并且只尝试了简化的问题[例如Christensen和Yuen, 1984;格尼斯,1988;Jarvis and Peltier, 1982]。作为克服这些困难的开端,一些有限元公式已经在超立方体并发计算机上进行了探索。虽然解决这个问题需要两个耦合方程(动量或斯托克斯方程和能量或平流-扩散方程),但本文将集中精力解决后一个方程。前一个方程的解在其他地方有讨论[Lyzenga, et al, 1988]。我们将证明,对于足够大的问题,可以实现99%的线性加速和效率。