Optimized identification of earlywood and latewood stiffnesses in loblolly pine in simulated experiments
Optimized identification of earlywood and latewood stiffnesses in loblolly pine in simulated experiments
Knowledge of local mechanical behaviour of wood is especially important as silvicultural practices are modified to allow wood to compete as a relevant material in high technology applications. Challenges associated with identification of local mechanical behaviour have resulted in simplified test geometries designed to determine one or two constitutive parameters. The objective of this work was to design and simulate an entire experiment developed to simultaneously identify the earlywood and latewood orthotropic stiffnesses in loblolly pine in a single specimen and load geometry. The virtual experiment was capable of evaluating optimal orthotropy orientation for reduced identification errors and indicating most favourable choices for data smoothing filters and identification methodology. Additionally, certain ring spacing and latewood percentages were shown to produce large errors, but those combinations are unlikely to occur naturally. The simulation was able to identify (Formula presented.), and (Formula presented.) with approximately (Formula presented.) error; the (Formula presented.) error was larger with more scatter. The methodology presented here contributes to the best practices available for heterogeneous stiffness identification.
Iosipescu, Loblolly Pine, Virtual Fields Method (VFM), grid, simulation, loblolly pine, virtual fields method (VFM)
Considine, J.M.
17bb8381-2f4d-473f-a3d1-873c1c625e0c
Bechle, N.J.
7081d54b-96a8-4ea4-bdb4-c49c1cfc7310
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Kretschmann, D.E.
1d3ded9c-4d03-4c4f-bf54-5ccb9c8250f2
Considine, J.M.
17bb8381-2f4d-473f-a3d1-873c1c625e0c
Bechle, N.J.
7081d54b-96a8-4ea4-bdb4-c49c1cfc7310
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Kretschmann, D.E.
1d3ded9c-4d03-4c4f-bf54-5ccb9c8250f2
Considine, J.M., Bechle, N.J., Pierron, Fabrice and Kretschmann, D.E.
(2022)
Optimized identification of earlywood and latewood stiffnesses in loblolly pine in simulated experiments.
Strain, [e12432].
(doi:10.1111/str.12432).
Abstract
Knowledge of local mechanical behaviour of wood is especially important as silvicultural practices are modified to allow wood to compete as a relevant material in high technology applications. Challenges associated with identification of local mechanical behaviour have resulted in simplified test geometries designed to determine one or two constitutive parameters. The objective of this work was to design and simulate an entire experiment developed to simultaneously identify the earlywood and latewood orthotropic stiffnesses in loblolly pine in a single specimen and load geometry. The virtual experiment was capable of evaluating optimal orthotropy orientation for reduced identification errors and indicating most favourable choices for data smoothing filters and identification methodology. Additionally, certain ring spacing and latewood percentages were shown to produce large errors, but those combinations are unlikely to occur naturally. The simulation was able to identify (Formula presented.), and (Formula presented.) with approximately (Formula presented.) error; the (Formula presented.) error was larger with more scatter. The methodology presented here contributes to the best practices available for heterogeneous stiffness identification.
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Strain - 2022 - Considine - Optimized identification of earlywood and latewood stiffnesses in loblolly pine in simulated (1)
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Accepted/In Press date: 21 November 2022
e-pub ahead of print date: 5 December 2022
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© 2022 John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
Keywords:
Iosipescu, Loblolly Pine, Virtual Fields Method (VFM), grid, simulation, loblolly pine, virtual fields method (VFM)
Identifiers
Local EPrints ID: 474463
URI: http://eprints.soton.ac.uk/id/eprint/474463
ISSN: 1475-1305
PURE UUID: c8cc6dd2-1385-43bf-9fb1-a4e218b96f45
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Date deposited: 22 Feb 2023 20:15
Last modified: 17 Mar 2024 07:36
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Author:
J.M. Considine
Author:
N.J. Bechle
Author:
D.E. Kretschmann
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