An estimate of tornado loads on a wood-frame building using database-assisted design methodology

Author(s):  
David B. Roueche ◽  
David O. Prevatt ◽  
Fred L. Haan ◽  
Peter L. Datin
Buildings ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 333
Author(s):  
Lin Wang ◽  
Maurice Defo ◽  
Zhe Xiao ◽  
Hua Ge ◽  
Michael A. Lacasse

Previous studies have shown that the effects of climate change on building structures will increase the mould growth risk of the wood-frame building envelope in many circumstances. This risk can be controlled by wind-driven rain deflection, improving water tightness of the exterior facade, and improving cladding ventilation. However, the effectiveness of these risk mitigation strategies are subject to various uncertainties, such as the uncertainties of wall component properties and micro-climatic conditions. The objective of this paper is to apply stochastic hygrothermal simulation to evaluate the mould growth risk of a brick veneer-clad wood-frame wall with a drainage cavity under historical and future climatic conditions of Ottawa, a Canadian city located in a cold climate zone. An extensive literature review was conducted to quantify the range of stochastic variables including rain deposition factor, rain leakage moisture source, cladding ventilation rate and material properties of brick. The randomised Sobol sequence-based sampling method, one of the Randomized Quasi-Monte Carlo (RQMC) methods, was applied for risk assessment and error estimation. It was found that, under the climatic condition of Ottawa, limiting the amount of wind-driven rain to which walls are subjected is a more robust mitigation measure than improving cladding ventilation in controlling mould growth risk, the improving of water tightness of exterior façade is not as robust as wind-driven rain deflection and cladding ventilation, however, the reduction of rainwater penetration can reduce the mould growth risk at different levels of rain deposition factor and cladding ventilation rate.


Author(s):  
Pouria Bahmani ◽  
John W. van de Lindt ◽  
Gary L. Mochizuki ◽  
Mikhail Gershfeld ◽  
Steven E. Pryor

2019 ◽  
pp. 875529301987818
Author(s):  
Luis Moya ◽  
Erick Mas ◽  
Fumio Yamazaki ◽  
Wen Liu ◽  
Shunichi Koshimura

Debris scattering is one of the main causes of road/street blockage after earthquakes in dense urban areas. Therefore, the evaluation of debris scattering is crucial for decision-makers and for producing an effective emergency response. In this vein, this paper presents the following: (1) Statistical data concerning the debris extent of collapsed buildings caused by the 2016 Mw 7.0 Kumamoto earthquake in Japan; (2) An investigation of the factors influencing the extent of debris; (3) Probability functions for debris extent; and (4) Applications in the evaluation of road networks. To accomplish these tasks, LiDAR data and aerial photos acquired before and after the mainshock (April 16, 2016) were used. This valuable dataset gives us the opportunity to accurately quantify the relationship between the debris extent and the geometrical properties of buildings.


2012 ◽  
Vol 518-523 ◽  
pp. 4425-4430
Author(s):  
Li Ping He ◽  
Yu Chen ◽  
Xue Ru Wang

The enormous consumption of resources and energy of construction industry results in severe environmental pollution. From both the views of energy consumption and environmental footprint, this article analyzed theoretically the energy consumption and environmental benefits on life cycle of wood-frame building, in order to determine the general impact on environment by appropriate building materials, so that some ideas for development of wood-frame architecture can be concluded.


1991 ◽  
Vol 15 (1) ◽  
pp. 8-19 ◽  
Author(s):  
J. Timusk ◽  
A.L. Seskus ◽  
N. Ary

1992 ◽  
Vol 19 (5) ◽  
pp. 886-895 ◽  
Author(s):  
Raymond J. Cole ◽  
David Rousseau ◽  
Stephen Taylor

This paper presents example environmental audits for four alternate structural systems used in typical warehouse buildings: concrete masonry, tilt-up wall, steel system, and wood. An environmental audit as defined in this work is an evaluation of the "debit side" impacts, in terms of energy consumption and environmental emissions, incurred in the extraction and processing of materials for building products to the point where they are ready to install in a building.Though comprehensive auditing methods will eventually become available, the work reported in this paper incorporates energy and air pollution audits as the most currently accessible and quantifiable indicators based on available data.The analysis shows that massive structural systems are inherently more energy intensive than lightweight ones by virtue of the mass of material in the walls which dominates the relatively lightweight horizontal structures common to all. Moreover, their CO2 and other air pollution indices are also significantly higher. The long span members are the dominant single energy and pollution component in the environmental audit of a structural system, accounting for between 74% and 79% of the total energy required for production of materials, and contributing from 59% to 79% of the aggregate air pollution from manufacturing industries. Of the lightweight examples, the steel frame building was the least energy intensive by a small margin, while the wood frame contributed least to CO2 emission by a substantial margin. Key words: audit, energy, environment, pollution, structure, warehouse.


2021 ◽  
Author(s):  
Wai Ki Wu

When performing hygrothermal analysis for building envelopes, climate data is required as boundary conditions. This study investigates the effect of the microclimatic conditions using Toronto Pearson Airport and downtown hourly data. The results showed that the average water content of the wood frame building façade were similar throughout the study period. The high moisture content peaks reduced to average within days. The arithmetic averaged hourly weather data may also affect the analysis’ results. 5-minute weather data is collected from the Ryerson weather network. The hourly data is constructed from the 5-minute data by arithmetic averaging. The simulation results from both dataset followed closely to each other throughout the study period. The averaging of hourly data removed some details form the raw meteorological data. However, it does not affect the overall trend of the climate condition and the impact to the hygrothermal analysis of building components is very limited.


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