Abstract For effective applications of the adaptive management approach, inverse analysis procedures are used to update model parameters based on observations made during early stages of construction projects. These updated parameters are then used to compute the responses at later stages. This paper describes the inverse analysis of lateral wall deformations from a deep supported excavation in Chicago using the Hypoplastic Clay model. Initial parameters for the soil model are based on inverse analyses of laboratory test results and site-specific correlations with in situ data of Chicago clays. Field observations made during construction are used to conduct sensitivity and correlation analyses, and the most effective parameters to optimize are selected. These parameters are optimized at three depths during excavation where plane strain conditions were applicable. Changes in the optimized parameters at the excavation levels are analyzed to assess how and if the parameters are optimized satisfactorily. Computed responses using the optimized parameters are compared to field measurements, and recommendations regarding the parameters to optimize are provided.

中文翻译：

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用于计算开挖变形的亚塑性粘土模型的逆分析

摘要 为了自适应管理方法的有效应用，逆向分析程序用于根据在建设项目早期阶段进行的观察来更新模型参数。这些更新后的参数随后用于计算后续阶段的响应。本文描述了使用 Hypoplastic Clay 模型对芝加哥深层支护开挖的侧壁变形进行逆分析。土壤模型的初始参数基于实验室测试结果的逆向分析以及与芝加哥粘土原位数据的现场相关性。施工期间进行的现场观察用于进行敏感性和相关性分析，并选择最有效的优化参数。在适用平面应变条件的开挖过程中，这些参数在三个深度进行了优化。分析在开挖层面优化参数的变化，以评估如何以及是否对参数进行了令人满意的优化。将使用优化参数的计算响应与现场测量值进行比较，并提供有关要优化的参数的建议。