Non-linear dynamic analysis to assess the seismic performance of cross-laminated timber structures

Porcu, Maria Cristina; Bosu, Claudio; Gavrić, Igor

doi:10.1016/j.jobe.2018.06.008

Cited by 17 publications

(11 citation statements)

References 17 publications

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“…Among the methods covered by the design regulations, the non-linear dynamic analysis is the most accurate to assess the seismic performance of ductile dissipative structures, although it requires higher computational burden and designer skill [3,4]. It can be successfully applied to both the design of new buildings [5] and the seismic retrofit of existing structures [6,7]. Artificial neural networks (ANNs) have been successfully applied for different purposes in Civil Engineering, from the early warning of ground settlements in urban areas [8] to the control of dynamic effects in bridges and the development of decision support systems for industrialized manufacturing of buildings [9].…”

Section: Reference Multi-story Buildingmentioning

confidence: 99%

“…2021, 11, 4654 2 of 14 covered by the design regulations, the non-linear dynamic analysis is the most accurate to assess the seismic performance of ductile dissipative structures, although it requires higher computational burden and designer skill [3,4]. It can be successfully applied to both the design of new buildings [5] and the seismic retrofit of existing structures [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Optimal Design of Earthquake-Resistant Buildings Based on Neural Network Inversion

2021

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An effective seismic design entails many issues related to the capacity-based assessment of the non-linear structural response under strong earthquakes. While very powerful structural calculation programs are available to assist the designer in the code-based seismic analysis, an optimal choice of the design parameters leading to the best performance at the lowest cost is not always assured. The present paper proposes a procedure to cost-effectively design earthquake-resistant buildings, which is based on the inversion of an artificial neural network and on an optimization algorithm for the minimum total cost under building code constraints. An exemplificative application of the method to a reinforced-concrete multi-story building, with seismic demands corresponding to a medium-seismicity Italian zone, is shown. Three design-governing parameters are assumed to build the input matrix, while eight capacity-design target requirements are assigned for the output dataset. A non-linear three-dimensional concentrated plasticity model of the structure is implemented, and time-history dynamic analyses are carried out with spectrum-consistent ground motions. The results show the promising ability of the proposed approach for the optimal design of earthquake-resistant structures.

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Section: Reference Multi-story Buildingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Design of Earthquake-Resistant Buildings Based on Neural Network Inversion

2021

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“…The mechanical properties of the homogenized CLT material, reported in Table 2, have been directly estimated from timber mechanical properties (Table 1) by adopting the simple homogenization approach proposed in [34], as usually made in literature (see e.g. [38,39]).…”

Section: Numerical Analyses Of the Diagonal Compression Testmentioning

confidence: 99%

An experimental and numerical study on CLT panels used as infill shear walls for RC buildings retrofit

Stazi

Serpilli

Maracchini

et al. 2019

Construction and Building Materials

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“…Different techniques have been implemented to evaluate and enhance the earthquake resistance of timber structures. X-Lam buildings’ ductile behavior has been measured under dynamic loads, and the buildings were modeled to perform non-linear time-history analyses for design purposes [ 19 ]. Furthermore, CLT (Cross Laminate Timber) wall panels have been tested to understand their behavior under a quasi-static lateral load [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Openings’ Size and Location on Selected Dynamical Properties of Typical Wood Frame Walls

et al. 2022

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The wooden frame constructions are now popular in many developed countries of the world. Many of these locations where such buildings are constructed are exposed to seismic and other shocks which are generated by human activities. This paper discusses the effect of the size and location of openings in the wooden frame walls under dynamic loadings. Natural frequencies of such frames with and without openings have been determined. Three 14 m high walls with different widths, including 3, 6, and 12 m, have been considered. Dynamic analysis has been made using finite element method structural analysis software Dlubal RFEM 5.17. The results show that the effect of the size and location of the openings on the natural frequency is significant. Numerically speaking, the relative change of the natural frequencies of a wall without and with an opening in a specific place could be up to 30%. In addition, the change of the natural frequency for the location of the openings is more sensitive than that to the sizes. Furthermore, the appropriate sizes and locations of openings of the wooden frame walls have been suggested. The appropriate size and place were found to be small openings in the top of the walls.

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Non-linear dynamic analysis to assess the seismic performance of cross-laminated timber structures

Cited by 17 publications

References 17 publications

Optimal Design of Earthquake-Resistant Buildings Based on Neural Network Inversion

Optimal Design of Earthquake-Resistant Buildings Based on Neural Network Inversion

An experimental and numerical study on CLT panels used as infill shear walls for RC buildings retrofit

The Effect of Openings’ Size and Location on Selected Dynamical Properties of Typical Wood Frame Walls

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