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Optimal Testing Locations in Geotechnical Site Investigations through the Application of a Genetic Algorithm

机译：通过应用遗传算法在岩土地点调查中的最佳测试位置

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Geotechnical site investigations are an essential prerequisite for reliable foundation designs. However, there is relatively little quantitative guidance for planning optimal investigations, including the choice of testing location. This study uses a genetic algorithm to find the ideal testing locations of various numbers of boreholes with respect to pile foundation performance. The optimization has been done separately for single-layer and multi-layer soils, which infer what is best for obtaining soil material properties and delineating layer boundaries, respectively. A sensitivity analysis was conducted to find the genetic algorithm parameters that result in high quality solutions within a reasonable timeframe. While boreholes arranged in a regular grid pattern provide good performance in many cases, there are instances where optimized locations provide a cost saving of A$2 million, or 4.2% of the construction cost. A set of recommended testing guidelines is provided.
机译：岩土地点调查是可靠基础设计的必要先决条件。然而，规划最佳调查的定量指导相对较少，包括测试位置的选择。本研究采用遗传算法在桩基性能方面找到各种数量的钻孔的理想测试位置。优化已经单独完成，用于单层和多层土壤，其分别推断出最适合获得土壤材料特性和描绘层边界的最佳选择。进行了灵敏度分析，以找到在合理的时间范围内产生高质量解决方案的遗传算法参数。虽然在许多情况下，以常规网格图案排列的钻孔提供良好的性能，但有可能的情况优化的位置提供了200万美元的成本，或占施工成本的4.2％。提供了一组推荐的测试指南。

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