Experimental study on buckling resistance of Guadua angustifolia bamboo column

Bahtiar, Effendi Tri; Malkowska, Dominika; Trujillo, David; Nugroho, Naresworo

doi:10.1016/j.engstruct.2020.111548

Cited by 34 publications

(15 citation statements)

References 20 publications

(45 reference statements)

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“…The warm, humid, and rainy environments result in wood's high equilibrium moisture content. This study measured that the specimen's average air-dry moisture contents ranged from 15.92% to 17.13%, in line with some research reports on wood [17,[56][57][58][59] or bamboo [60][61][62][63][64][65] located in Bogor (ID), but wetter than the equilibrium moisture content (EMC) in the subtropical region such as Coventry (UK) [66,67]. The air-dry timber is wetter than mortar [68].…”

Section: The Physical Propertiessupporting

confidence: 82%

Comparing the Building Code Sawn Lumber’s Wet Service Factors (CM) with Four Commercial Wood Species Laboratory Tests

Bahtiar

Denih

Priadi

et al. 2022

Forests

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Indonesian Wooden Building Code (SNI 7973-2013) has adopted the National Design Specification (NDS) for Wood Construction since 2013. A periodic harmonization of the building-code-designated values (i.e., reference design values and adjustment factors) with the experimental data of commercial wood species is necessary. This study aimed to compare the building code’s wet service factors (CM) with the laboratory test of some commercial wood species. Since wood is weaker when its moisture content is high, the wet service factor (CM) must adjust the sawn lumber reference design values if the building serves in wet or aquatic environments. Four commercial wood species, namely pine (Pinus merkusii), agathis (Agathis dammara), red meranti (Shorea leprosula), and mahogany (Swietenia mahagoni), were subjected to mechanical property tests. To calculate the empirical CM values, the mechanical properties tests were conducted on air-dry and wet wood. Instead of testing the full-sized timber, which contains the growth characteristics and defects, this study chose clear-wood specimens to resemble the boundary condition of the ceteris paribus (other things being equal). The wet (water-saturated) specimens were immersed in water for 65 days, and the test was carried out when the specimen was still immersed. The test arrangement imitated the submerged wood as the worst-case scenario of the wet environment where the construction serves, rather than green or partially immersed timber. As many as 40 specimens were tested to compare each mechanical property’s wet service factor; thus, this study reported 200 specimens’ laboratory test results. The empirical CM values to adjust the modulus of elasticity, modulus of rupture, shear strength parallel-to-grain, tensile strength parallel-to-grain, and maximum crushing strength (CM = 0.59, 0.76, 0.65, 0.73, and 0.67, respectively) were significantly lower than SNI 7973-2013 designated values (CM = 0.9, 0.85, 0.97, 1, and 0.8, respectively). The empirical CM for the compression stress perpendicular-to-grain at the proportional limit and that at the 0.04″ deformation (CM = 0.66) were slightly lower than the designated values (CM = 0.67), although they were not significantly different. This study resulted in lower empirical CM values than the designated ones, which found that the building code lacked conservativeness. The lacked conservativeness is mainly attributed to the building code’s recent choices, e.g., (1) the wet service environment basis is the green timber rather than the fully water-saturated one, and (2) the ratio of near minimum (5% lower) distribution value is chosen as the CM value rather than the average of wet timber’s mechanical property divided by the air-dry one. This study proposes changing both recent choices to alternative ones to develop more safe and reliable designated CM values.

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Section: The Physical Propertiessupporting

confidence: 82%

Comparing the Building Code Sawn Lumber’s Wet Service Factors (CM) with Four Commercial Wood Species Laboratory Tests

Bahtiar

Denih

Priadi

et al. 2022

Forests

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“…ISO 22156:2021 adopts the member compression capacity promulgated by Ylinen (1956). This approach has been used in North American (AWS 2018) timber design practice since 1991 and shown to be effective at predicting the behaviour of G. angustofia (Bahtiar et al 2021). The Ylinen equation, given here as Equation 3, presents column capacity (Ncr) as a continuous function of slenderness which inherently accounts for the interaction between crushing and global buckling failure modes.…”

Section: Compression Capacitymentioning

confidence: 99%

Development of load tables for design of full-culm bamboo

et al. 2022

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“…Finally, linear mass is one of the parameters, which is the mass divided by the length. The larger the value of the linear mass, the more strength can be obtained [ 21 , 29 , 31 , 32 , 33 ]. The linear mass has the strongest correlation with the external diameter and culm wall thickness.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Non-Destructive Indicating Properties for Predicting Compressive Strengths of Dendrocalamus sericeus Munro Bamboo Culms

et al. 2023

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Bamboo is a natural material with the potential for being used in sustainable construction. However, uncertainty in the bearing capacity of the bamboo results in nonstandard values for structural engineering design. This research studied the simple and multiple linear regression analyses for indicating properties to predict the axial compressive load capacity and strength of bamboo culms, which will be useful information for quality control during building construction and further structural grading. First, twelve basic physical properties were measured from 111 samples of Dendrocalamus sericeus Munro bamboo culms, and axial compressive load tests of the bamboo culms were performed. Then, the correlation significance of the physical properties to axial load capacity and strength (load per area) were analyzed by the Pearson correlation method. The results show that five parameters, i.e., linear mass, culm wall thickness, external diameter, moisture content, and density, were statistically significant with the responses (compressive load capacity and compressive strength) and then defined as “candidates for indicating properties”. Next, simple linear and multiple linear regression were analyzed to formulate the relationship between the significant indicating properties and the responses. From the simple linear regression analysis, linear mass can be best used as an indicating property for predicting the maximum compressive load. The maximum compressive strength was well associated with density. The multiple linear regression analysis shows an improvement in the response predictions with respect to the simple linear regression analysis with the higher R2-values. Finally, structural grading of the bamboo is determined.

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Experimental study on buckling resistance of Guadua angustifolia bamboo column

Cited by 34 publications

References 20 publications

Comparing the Building Code Sawn Lumber’s Wet Service Factors (CM) with Four Commercial Wood Species Laboratory Tests

Comparing the Building Code Sawn Lumber’s Wet Service Factors (CM) with Four Commercial Wood Species Laboratory Tests

Development of load tables for design of full-culm bamboo

Analysis of Non-Destructive Indicating Properties for Predicting Compressive Strengths of Dendrocalamus sericeus Munro Bamboo Culms

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