CAREER: Identification, Modeling and Computational Simulations of Soil and Soil-Structure Using Earthquake Records and Experimental Data

9984754-Zeghal本学院早期职业发展(CALE)研究和教育项目使用实验数据、地震记录和计算模拟来开发和校准在极端动态加载和破坏条件下的岩土和基础建筑系统的分析模型，例如在强烈地震震动期间经历的情况。教育部分向土木工程本科生和研究生课程介绍了以下内容：数据分析工具、建模技术(从简单的模型到复杂的计算机模拟)，以及物理和分析模型开发的案例研究。在极端动态荷载和破坏条件下，对大规模岩土和基础建筑系统的分析和建模很少使用全尺寸实验进行。事实上，这类系统的破坏性实验成本通常高得令人望而却步，而且不切实际。因此，大变形的响应机制和系统特性可以从以下一项或多项中推断出来：对小土样的实验室调查、缩尺模型实验以及对极端环境载荷条件的响应记录。这些来源中的每一个都在不同的加载和系统条件范围内提供了有价值的信息，但在某些情况下结果不一致。本研究项目利用实验现场和实验室数据以及大地震期间的记录数据：(1)评估大变形和破坏时的动态响应机制，并阐明相关的减震机制；(2)开发改进和校准的计算模型；以及(3)提出新的实验策略，以最大化模型校准分析的结果。这将为计算模拟提供模型，阐明岩土系统的一些显著响应机制，并为有效建模和模拟分析的数据收集和实验提供建议指南。该教育计划将数据分析工具、建模技术和计算机模拟引入本科生和研究生课程，为学生提供实践经验：(1)分析全尺寸和模型试验的实验数据，以及土木工程系统对环境载荷的响应记录；(2)建立和验证模型(从简化到复杂)；以及(3)开发和分析计算机模拟。学生们可以接触到一组多学科的现场和实验室实验数据，以及在大地震期间记录的数据。课程开发融合了研究和教育，并通过使用工作室课堂的方式建立了一个互动的学习环境。(音频教室集讲座、实验室和复习于一体，因此提供了一个适当的以发现为基础的学习环境。)该项目将有助于为物理建模和计算模拟教学的综合方法制定一个范例。

9984754- ZeghalThis Faculty Early Career Development (CAREER) research and education project uses experimental data, earthquake records, and computational simulations to develop and calibrate analytical models of geotechnical and foundation-building systems under conditions of extreme dynamic loading and failure, such as is experienced during strong earthquake shaking. The educational component introduces into the civil engineering undergraduate and graduate curriculum the following: data analysis tools, modeling techniques (ranging from simple models to complex computer simulations), and case studies of physical and analytical model development.The analysis and modeling of massive geotechnical and foundation-building systems under extreme dynamic loading and failure conditions can rarely be conducted using full-scale experiments. Indeed, the cost of destructive experiments of such systems is usually prohibitive, in addition to being impractical. Response mechanisms and system properties for large deformations are therefore inferred from one or more of the following: laboratory investigations on small soil samples, scaled model experiments, and records of the response to extreme environmental loading conditions. Each one of these sources has provided valuable information over a distinct range of loading and system conditions, but in some instances the results are inconsistent. This research project uses experimental field and laboratory data, and data recorded during major earthquakes to: (1) evaluate the dynamic response mechanisms at large deformation and failure and to elucidate the associated damping mechanisms, (2) develop improved and calibrated computational models, and (3) propose new experimentation strategies that maximize the outcome of model calibration analyses. This will provide models for computational simulations, elucidate a number of salient response mechanisms of geotechnical systems, and provide recommend guidelines for data gathering and experimentation for effective modeling and simulation analyses. The educational plan introduces data analysis tools, modeling techniques, and computer simulations into the undergraduate and graduate programs, giving students hands-on experience in: (1) analyzing experimental data of full scale and model tests, as well as records of the response of civil systems to environmental loading, (2) building and validating models (ranging from simplified to complex), and (3) developing and analyzing computer simulations. The students have access to a multidisciplinary set of field and laboratory experimental data, and data recorded during major earthquakes. The curriculum development integrates research and education, and sets up an interactive learning environment through the use of the studio classroom approach. (Sudio classrooms integrate lecture, laboratory and recitation sessions, and thus provide an appropriate discovery-based learning environment.) This project will contribute to the development of a paradigm for an integrated approach to the teaching of physical modeling and computational simulations.