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Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods

机译:通过层次模型和概率方法对结构木构件进行现场评估

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摘要

One of the main motivations for hierarchical modelling is to understand how properties, composition and structure at lower scale levels may influence and be used to predict the material properties at macroscopic and structural engineering scales. Structural timber is, in most cases, characterized by three parameters usually designated as reference properties: density, bending modulus of elasticity and bending strength.The present paper addresses a review on different possibilities for obtaining reliable data about the mechanical behaviour of timber elements by collecting information at different levels and by organizing that information into a hierarchy of sequential levels (from lowest to highest). The applicability and limitations of statistic and probabilistic methods on the prediction and inference of timber’s reference material properties are discussed and exemplified.
机译:层次建模的主要动机之一是了解较低尺度级别的属性,成分和结构如何影响并用于预测宏观和结构工程尺度的材料属性。在大多数情况下,结构木材的特征是通常被指定为参考特性的三个参数:密度,弯曲弹性模量和弯曲强度。本文概述了通过收集来获得有关木材元素力学性能的可靠数据的各种可能性的综述。信息并通过将信息组织成一系列连续的级别(从最低到最高)来实现。讨论并举例说明了统计和概率方法在木材参考材料特性的预测和推断中的适用性和局限性。

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