Sensitivity of censored data analysis to determine the characteristic value of structural timber

Pang, Sung-Jun; Lee, Hyeon-Jeong; Ahn, Kyung-Sun; Oh, Jung-Kwon

doi:10.1186/s10086-020-01885-0

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…Wang et al [29] investigated the mechanical performances of a hybrid CLT composed of solid wood and laminated strand lumber (LSL). Pang et al [30] investigated the bending capacities a hybrid CLT composed of solid wood and plywood lamina. Aicher et al [31] investigated structural properties of a hybrid CLT composed of softwood (spruce) and hardwood (beech).…”

Section: Introductionmentioning

confidence: 99%

Prediction of withdrawal resistance for a screw in hybrid cross-laminated timber

et al. 2020

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The aim of this study was to predict the withdrawal resistance of a screw in hybrid cross-laminated timber (CLT) composed of two types of lamina layers. A theoretical model to predict the withdrawal resistance was developed from the shear mechanism between a screw and the layers in hybrid CLT. The parameters for the developed model were the withdrawal stiffness and strength that occurs when a screw is withdrawn, and the penetration depth of a screw in layers of a wood material. The prediction model was validated with an experimental test. Screws with two different diameters and lengths (Ø6.5 × 65 mm and Ø8.0 × 100 mm) were inserted in a panel composed of solid wood and plywood layers, and the withdrawal resistances of the screws were evaluated. At least 30 specimens for each group were tested to derive the lower 5th percentile values. As a result, the developed model predictions were 86–88% of the lower 5th percentile values of hybrid CLT from the properties of the lamina layer. This shows that the withdrawal resistance of hybrid CLT can be designed from the properties of its layer.

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Section: Introductionmentioning

confidence: 99%

Prediction of withdrawal resistance for a screw in hybrid cross-laminated timber

et al. 2020

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“…On the other hand, findings from an exhaustive study involving roughly 6,700 specimens of structural timber (Sørensen and Hoffmeyer 2001) showed that the Weibull PDF provided the best fit to the ambienttemperature strength data. Finally, the Weibull PDF has been also assumed in several works to describe timber strength at ambient temperature (Christoforo et al 2020;Moshtaghin et al 2016a;Pang et al 2020). Thus, the Weibull PDF was selected to define the probabilistic models for both compressive and tensile strengths of timber at elevated temperatures.…”

Section: Model Selection and Definitionmentioning

confidence: 99%

Probabilistic Models for Temperature-Dependent Compressive and Tensile Strengths of Timber

2023

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Reliable reduction factors for timber mechanical properties at elevated temperatures are needed to design timber structures for fire safety as well as to assess the safety of historic timber structures against fire hazards. In this paper, a compilation of the available data on the compressive and tensile strengths of timber at elevated temperatures is carried out. Then, a probabilistic modeling approach to predict the temperature-dependent reduction factors applicable to fire design is proposed. The collected data cover both solid and engineered timber at temperatures from 20°C to 300°C, with a variety of sample sizes, wood species, test protocols, and moisture content used in the experiments. The data revealed a large scatter in elevated temperature strengths, and a large conservativeness of the relationships of the current European standard, which is commonly used for the advanced design of timber structures under fire. To address this variability, multiple probability density functions were calibrated across the temperature range, quantifying the goodness of fit with statistical criteria. Two-parameter Weibull functions provided the best fit, and continuous temperature-dependent relationships were derived for the parameters of the distribution. The proposed probabilistic models can be implemented in a numerical code, facilitating their use in analytical and computational approaches, and can be applied to the probabilistic assessment of the structural performance and reliability of timber structures against fire.

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Prediction of bending performance for a separable CLT-concrete composite slab connected by notch connectors

Pang

Ahn

Jeong

et al. 2022

Journal of Building Engineering

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Sensitivity of censored data analysis to determine the characteristic value of structural timber

Cited by 4 publications

References 19 publications

Prediction of withdrawal resistance for a screw in hybrid cross-laminated timber

Prediction of withdrawal resistance for a screw in hybrid cross-laminated timber

Probabilistic Models for Temperature-Dependent Compressive and Tensile Strengths of Timber

Prediction of bending performance for a separable CLT-concrete composite slab connected by notch connectors

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