ENGINEERING DESIGN UNDER UNCERTAINTY - OPTIMAL CONDENSER DESIGN WITH RANDOM PARAMETERS

被引：20

作者：

AVRIEL, M

WILDE, DJ

机构：

[1] Department of Chemical Engineering, Stanford University, Stanford

来源：

INDUSTRIAL & ENGINEERING CHEMISTRY PROCESS DESIGN AND DEVELOPMENT | 1969年 / 8卷 / 01期

关键词：

D O I：

10.1021/i260029a022

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

In many optimal design problems, which can be formulated as geometric programs, the parameters (data) of the problem are actually random variables. Stochastic geometric programming provides a novel design method for such problems, which assesses the influence of the uncertainties on the optimal design and yields a minimum expected cost. The method is illustrated by solving an optimal condenser design problem with fluctuating flow rate and inlet temperature. © 1969, American Chemical Society. All rights reserved.

引用

页码：124 / &