返回

【数学建模】高速车辆流体-结构-射流相互作用分析和建模附matlab代码

发布时间:2022-09-16 22:22:40 310

1 内容介绍

This paper presents high-fidelity solutions of the fluid-structure-jet interaction problem for slender high-speed vehicles along with two jet interaction modeling methods, one semiempirical and one CFD-based, to approximate the high-fidelity solution. The high-fidelity solutions of a representative high-speed vehicle with jet interaction and structural deformation show that the resultant loads are affected by the deformation. The semi-empirical jet interaction model is developed using previous work in the literature and approximates the main features of the jet interaction solution when compared to numerical and experimental results. The CFD-based jet interaction model is developed by using data-fusion of a previously developed aerodynamic loads surrogate, the semi-empirical jet interaction model, and CFD solutions of the jet interaction. This data-fusion model approximates the surface pressure of a representative high-speed vehicle with varying flow, structure, and jet parameters and can be used within a flight simulation framework. Overall, the work demonstrates a need to model the fluid-structure-jet interaction of high-speed vehicles and modeling methods that may be used to approximate the full solution

2 部分代码

function [ dmodel, dmc, dmd ] = cokriging2( sc0, yc0, se0, ye0, regr, corr, lb, ub)

% CoKriging


smean = mean([sc0; se0]);

sstd = std([sc0; se0]);

ymean = mean([yc0; ye0]);

ystd = std([yc0; ye0]);


sc = (sc0 - repmat(smean,size(sc0,1),1))./repmat(sstd,size(sc0,1),1);

se = (se0 - repmat(smean,size(se0,1),1))./repmat(sstd,size(se0,1),1);

yc = (yc0 - repmat(ymean,size(yc0,1),1))./repmat(ystd,size(yc0,1),1);

ye = (ye0 - repmat(ymean,size(ye0,1),1))./repmat(ystd,size(ye0,1),1);


dmodel.smean = smean;

dmodel.sstd = sstd;

dmodel.ymean = ymean;

dmodel.ystd = ystd;


opts = optimset('fmincon');

opts.Display = 'off';

opts2 = optimset('fminbnd');

opts2.Display = 'off';


nc = length(sc);

ne = length(se);


th0 = 10^(mean(log10([ub, lb])))*ones(1,size(lb,2));

dmc = dacefit(sc,yc,regr,corr, th0, lb, ub);

fprintf('dmc.theta = % .2g\n', dmc.theta)

yc_e = predictor(se,dmc);


p0 = yc_e\ye;

[u0,s0,v0] = svd(p0);

p = u0*v0';


d = ye - yc_e*p;

dmd = dacefit(se,d,regr,corr, ub, lb, ub);

fprintf('dmd.theta = % .2g\n', dmd.theta)


dmodel.p = p;

dmodel.dmc = dmc;

dmodel.dmd = dmd;



function [cost] = getp(se,yc_e,ye,lb,ub,p,opts)


    d = ye - p*yc_e;

    dmd = dacefit(se, d, @regpoly0, @corrgauss, lb, lb, ub);

    psidee = dmd.C;

    cost = ne/2*log(dmd.sigma2) + 1/2*log(abs(det(psidee)));


    

    

    

    

3 运行结果

【数学建模】高速车辆流体-结构-射流相互作用分析和建模附matlab代码_sed

4 参考文献

[1] Kitson R ,  Cesnik C E . High Speed Vehicle Fluid-Structure-Jet Interaction Analysis and Modeling[C]// Aiaa/asce/ahs/asc Structures, Structural Dynamics, & Materials Conference. 0.

部分理论引用网络文献,若有侵权联系博主删除。


特别声明:以上内容(图片及文字)均为互联网收集或者用户上传发布,本站仅提供信息存储服务!如有侵权或有涉及法律问题请联系我们。
举报
评论区(0)
按点赞数排序
用户头像
精选文章
thumb 中国研究员首次曝光美国国安局顶级后门—“方程式组织”
thumb 俄乌线上战争,网络攻击弥漫着数字硝烟
thumb 从网络安全角度了解俄罗斯入侵乌克兰的相关事件时间线