Second Workshop on Predictive Methods of Analysis for Complex Jointed Structures

在理解复杂节理结构的动力学行为方面已经取得了进展。由于节理单元之间的滑动和碰撞，结构具有强烈的非线性和时变特性；然而，它们可以在制造的所有部件和系统中找到。重要的理解主要是通过美国和欧洲的研究项目，通过在一定范围内结合分析、计算和物理实验来实现的。然而，对于复杂的节理结构，完全预测分析方法的概念仍然是难以捉摸的。2006年10月，由美国国家科学基金会（National Science Foundation）和桑迪亚国家实验室（Sandia National Laboratories）赞助，在弗吉尼亚州阿灵顿成功举办了一次研讨会，第二次研讨会将于2009年4月27日至29日在英国举行，主要有两个重点：(1)指导先进建模的发展，使工程结构中使用的关节和界面的动力学能够得到可靠的预测；(2)利用新的分析方法探索和发展接头设计的新概念，以减少不确定性和可变性。这样做的好处是结构可靠，抗动载荷能力提高。经济方面将得到解决，反映出改进的设计方法将导致经济和技术的改进。由于参加者的多样性，讲习班将是独一无二的。将鼓励一部分年轻研究人员，特别是那些来自代表性不足群体的研究人员参加并参与研究路线图的制定。结果的广泛传播将吸引研究人员研究这一具有挑战性的问题。

There has been progress toward understanding dynamic behavior of complex, jointed structures. Due to slip and impact between joint elements, structures are strongly nonlinear and time-varying; yet, they can be found across the full range of manufactured components and systems. Significant understanding has been achieved principally through research programs in the US and Europe by combining analysis, computation and physical experiments over a range of scales. Still, the notion of fully predictive methods of analysis for complex, jointed structures remains elusive. A successful workshop addressing the issue of joints modeling, sponsored by the National Science Foundation and Sandia National Laboratories, was held in October, 2006, in Arlington, VA. A second workshop is proposed, in the UK, during the period April 27-29, 2009, having two major thrusts: (1) guide the development of advanced modeling allowing reliable prediction of the dynamics of joints and interfaces used in engineering structures; and (2) explore and develop new concepts for joint design using new analysis methods to achieve reduced uncertainty and variability. The benefit will be reliable structures with improved resistance to dynamic loads. Economic aspects will be addressed reflecting the belief that improved design methods will result in both economic and technical improvements. The workshop will be unique by virtue of the diversity of its participants. A subset of younger researchers, particularly those from underrepresented groups, will be encouraged to attend and participate in the development of the research road map. Broad dissemination of results will attract researchers to this challenging problem.