OPTIMIZATION METHOD OF PILE FOUNDATIONS

作者: Anthony J. Hurd , Kevin Z. Truman

DOI: 10.1007/1-4020-4891-2_55

关键词: Process (computing)Optimality criterionVariable (computer science)PileEngineeringFoundation (engineering)Optimal designStructural engineeringTrial and errorComputer program

摘要: A computer-automated design and optimization process for pile foundations with rigid concrete slabs is presented. Optimality Criteria methodology used to provide optimal designs. threedimensional computer program has been developed that designs a foundation system an number of piles, geometric layout, orientation, batter, size given structure subjected multiple load cases. The procedure controls displacements while reducing the overall weight design. new method optimizing weightless variables, such as was also created. Thus, challenges variables indirectly affect can still be designed create savings. In one example, total volume steel piles reduced from 61,920 in 3 49,570 by only sizes. Furthermore, again simultaneously each group’s coupled variable, batter. purpose this research large foundations. U.S. Army Corps Engineers (USACE) large-scale locks dams easily contain thousands costing millions dollars. USACE currently uses analysis programs but none Therefore, very time-consuming uncertain, involving tedious manual design, analysis, redesign. This take months result nonoptimal final An automated would find minutes rather than months. designer enters initial cases, soil conditions, constraints alters many Work originally Hill 1981, using trial error approach (Hill, 1981). His involved first batter then finding spacing. finished iteratively deleting most and/or least stressed piles. However, not numerically based, it does optimize all so true optimum solution never found. Hoback Truman numerical both rigid-slab (Hoback et al., 1991) flexible-slab 1993). Their utilized employed earlier Cheng structural frames (Cheng 1983). chosen following reasons: first, converges quickly examples converging less ten iterations. Second, were able size, controlling stress, strain, or displacement constraints.

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