A comprehensive framework for model validation and reliability assessment of container crane structures is pursued in this paper. The framework is composed of three phases. In phase I, a parameterized finite element model (FEM) of a typical type of container crane structure at Yangshan deep-water port, Shanghai, is developed for simulating the structure performance at controllable input/parameter settings. Full-scale experiments are conducted at multiple locations of the container crane for the validation assessment of the parameterized FEM. In phase II, high fidelity reliability model (HFRM) of the crane structure is constructed by incorporating the parameterized FEM, failure criteria, and uncertainty from multiple sources. To alleviate the computational burden for running finite element analysis at each function evaluation, surrogate modeling techniques, i.e., the polynomial response surface (PRS) and artificial neural networks (ANN) are applied to build lower fidelity reliability models (LFRM) using simulations generated from the high fidelity reliability model. Quantitative validation metrics, i.e., the area metric and u-pooling metric are applied to assess the degree to which the surrogates represent the high fidelity model in presence of uncertainty. Finally in phase III, the reliability of the container crane structure is assessed by estimating the probability of failure based on the surrogates of the high fidelity reliability model through structure reliability methods. The proposed framework provides a scientific and organized procedure for model validation activities, surrogate model building, and efficient reliability assessment to container cranes and other complex structures in engineering if necessary.

本文寻求集装箱起重机结构模型验证和可靠性评估的综合框架。该框架由三个阶段组成。在第一阶段，开发了上海洋山深水港典型类型的集装箱起重机结构的参数化有限元模型（FEM），以模拟可控输入/参数设置下的结构性能。在集装箱起重机的多个位置进行了全面试验，以对参数化有限元法进行有效性评估。在第二阶段，通过结合参数化有限元，破坏准则和来自多个来源的不确定性，构建起重机结构的高保真可靠性模型（HFRM）。为了减轻每次功能评估时进行有限元分析的计算负担，替代建模技术（即多项式响应面（PRS）和人工神经网络（ANN））被用于使用从高保真度可靠性模型生成的仿真来构建低保真度可靠性模型（LFRM）。定量验证度量（即面积度量和u池度量）适用于评估在存在不确定性的情况下代理代表高保真度模型的程度。最后，在阶段III中，通过高可靠度可靠性模型的替代方法，通过结构可靠性方法，通过估计失效概率来评估集装箱起重机结构的可靠性。拟议的框架为模型验证活动，替代模型构建，