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Embedment test analysis and data in the context of phenomenological modeling for dowelled timber joint design
Linnaeus University, Faculty of Technology, Department of Building Technology.ORCID iD: 0000-0001-7203-5948
Linnaeus University, Faculty of Technology, Department of Building Technology.ORCID iD: 0000-0002-7829-4630
University of Lorraine, France.
University of Lorraine, France.
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2019 (English)In: INTER: International Network on Timber Engineering Research: Proceedings, Meeting 52, 26-29 August 2019, Tacoma, USA, Karlsruhe, Germany: Timber Scientific Publishing, KIT Holzbau und Baukonstruktionen , 2019, article id 52-7-8Conference paper, Published paper (Refereed)
Abstract [en]

Numerical models, like the phenomenological Beam-On-Foundation (BOF) approach, have proven to be an efficient alternative to the analytical European Yield Model (EYM) for the design of dowelled timber joints according to EN 1995-1-1 (2004) (EC 5) (see e.g. Lemaître et al. (2018), Bader et al. (2016)). In contrast to the EYM, BOF-models allow not only for prediction of the load-carrying capacity, but also for prediction of the load-displacement behavior of single-dowel connections, and thus of their stiffness. This makes BOF-models predestined for the design of joints in advanced modern timber structures, which for reason of their complexity rely on a reliable prediction of the jointload-deformation behavior.

BOF-models are used since the early thirties of the last century (Hager, 1930). Models of different complexity were used from simplified (i) rigid-ideal plastic models, which allow only for strength prediction (cf. Johansen (1949)); to (ii) bi-linear elastic approaches, being able to predict stiffness and strength (Sawata and Yasumura (2003), Cachim and Franssen (2009)), and (iii) nonlinear elastic models, which are optimized for numerical simulations (Lemaître et al., 2018). BOF-models might be even used for earthquake design by application of plastic, or even hysteresis models (Izzi et al. (2018), Girhammar et al. (2017)). Developers and users of such phenomenological models face the challenge to find reliable input data on the load-deformation behavior of steel dowels embedded in wood or wood-based products.

Lack of input data for numerical models, like BOF, is one of the main reasons which hinders application of such models in engineering practice and in research. Since the EYM of EC 5 uses only the embedment strength (fh,EC5) but no stiffness, as input, the related European standard for embedment testing, EN 383 (2007), focuses mainly on the embedment strength determination. However, numerical modeling requires information on the entire load-displacement curve from embedment tests.The aim of this contribution is to

  1. present methods to analyze and parameterize experimental load-displacement curves for BOF-models, with embedment parameters suitable for this purpose;
  2. provide a database of embedment parameters for different wood spieces and wood products, and try to find correlations between parameters;
  3. give recommendations for embedment testing, with the aim to exploit data in numerical models.
Place, publisher, year, edition, pages
Karlsruhe, Germany: Timber Scientific Publishing, KIT Holzbau und Baukonstruktionen , 2019. article id 52-7-8
Keywords [en]
Dowelled timber joints, Embedment tests, Load-displacement curves, Numerical analysis, Database
National Category
Building Technologies
Research subject
Technology (byts ev till Engineering), Civil engineering
Identifiers
URN: urn:nbn:se:lnu:diva-89339OAI: oai:DiVA.org:lnu-89339DiVA, id: diva2:1355482
Conference
6th meeting of INTER (International Network on Timber Engineering Research), Tacoma, USA, August 26-29, 2019
Part of project
Hardwood_joint: Innovative joints in hardwoods, Vinnova, Swedish Research Council Formas, Swedish Energy AgencyAvailable from: 2019-09-29 Created: 2019-09-29 Last updated: 2019-10-01Bibliographically approved

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Schweigler, MichaelBader, Thomas K.

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Schweigler, M. (2019). Database of embedment parameters from soft- and hardwoods. Växjö, Sweden: Linnaeus University

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