EAGER: Next Generation Hybrid Simulation - Evaluation and Theory

EAGER奖的目的是探索新的想法，以克服过去十年混合仿真研究的启发式方法。 在混合仿真中，结构通常被理想化为几个子结构，其中一些子结构被分析建模，其余子结构被物理测试，并且它们的测量响应被用于数值积分的计算算法中。 本研究旨在建立混合仿真的基础，使其成为一种可靠的方法，模拟结构和结构系统。在计算力学的最新进展将被用来创建混合仿真算法，通过一个综合的方法，涉及理论和实验。在这方面，将使用修正的变分原理来改变控制方程的几何结构，以便进行时间步进。该研究将使用验证和验证范式进行，其中实验，在乔治E。小布朗地震工程模拟网络（NEES）和土木和环境工程结构实验室在加州大学伯克利分校，将被用来确定正确的理论模型和算法的混合模拟通过不同的测试结构和定制的实验程序。这种探索性的方法汇集了混合测试和计算力学这两个领域，以协同的方式，旨在该领域的跨学科发展。如果成功的话，这项工作将代表一个重大的概念转变，从目前的混合模拟技术，并将建立一个彻底的基础，混合模拟植根于健全的实验，加上理论和应用多尺度力学。建筑环境的结构安全对所有公民至关重要。当面临建造桥梁、建筑物、发电厂和其他基础设施以抵御地震、飓风和其他自然灾害的极端力量的挑战时，工程师需要能够以安全可靠的方式测试新想法，而不必建造全尺寸原型。该研究旨在为工程师提供一种强大的方法，以可靠地测试新设计的组件，而不必仅为测试目的构建完整的结构系统，从而为每个人带来更安全，更可靠的结构。该奖项还旨在培养新一代工程师，使他们在混合仿真的理论和实践方面都有丰富的知识。

The objective of this Early-Concept Grant for Exploratory Research (EAGER) award is to explore new ideas to overcome the heuristic approaches of hybrid simulation research of the past decade. In hybrid simulation, the structure is typically idealized into several substructures, where some of the substructures are modeled analytically and the remaining substructures are physically tested and their measured responses are used in the computational algorithm for the numerical integration. This research aims at establishing the fundamentals of hybrid simulation to allow it to become a reliable method for simulation of structures and structural systems. Recent advances in computational mechanics will be used to create algorithms for hybrid simulation through an integrated approach involving both theory and experiments. In that regard, modified variational principles will be used to change the geometric structure of the governing equations for the purposes of time stepping. The research will be conducted using a verification and validation paradigm in which experiments, conducted in the George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES) and the Civil and Environmental Engineering Structural laboratories at the University of California, Berkeley, will be used to identify the correct theoretical models and algorithms for hybrid simulation by means of different test structures and a tailored experimental program. This exploratory approach brings together the two fields of hybrid testing and computational mechanics, in a synergistic fashion, aiming at the interdisciplinary advancement of the field. If successful, this work will represent a major conceptual shift from the present hybrid simulation techniques and will establish a thorough basis for hybrid simulations rooted on sound experimentation coupled with theoretical and applied multi-scale mechanics. The structural safety of the built environment is critical to all citizens. When faced with the challenges of constructing bridges, buildings, power plants, and other infrastructure to withstand the extreme forces from earthquakes, hurricanes, and other natural disasters, engineers need to be able to test new ideas in a safe and reliable manner without having to construct full-scale prototypes. The research aims at providing engineers a robust methodology to reliably test components for new designs without having to build complete structural systems solely for test purposes, leading to safer and more reliable structures for everyone. This award also aims to train a new generation of engineers to be knowledgeable in both the theory and practice of hybrid simulation.