Abstract
As the engineering profession moves from prescriptive or ‟deemed-to-satisfy” approaches
towards design methodologies based on quantification of performance,
sophisticated modelling tools are increasingly needed, especially when complex combinations
of demand and capacity are encountered. Recourse is invariably made to
advanced computational tools to provide high fidelity solutions to large and complex
problems, such as the response of structural systems or components to thermomechanical
actions. Software packages based on the finite element method are most
commonly used for such analyses. There are some essential prerequisites to effective
use of advanced computational software for complex nonlinear problems, which
are often ignored, particularly in professional practice. These include a thorough
understanding of the underlying mechanics of the problem under consideration; a
good appreciation of the approximation methods for modelling the problem properly
(e.g. the choice between elements, continuum or structural, low or high order interpolation,
degree of mesh refinement necessary and so on); and perhaps most importantly
ensuring that the software is reliable and is able to reproduce established fundamental
solutions to an acceptable degree of accuracy.
This thesis attempts to address most of these issues but focusses primarily on the last
mentioned prerequisite and provides a range of novel and unprecedented fundamental
solutions for beams, plates, and shallow shells subject to moderate or extreme
thermomechanical loads such as those resulting from a fire. Geometric and material
nonlinearities are included in the proposed formulations along with the most
common idealised boundary conditions. Thermally induced deformations generate
large displacements and require the solutions to account for geometric nonlinearity,
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while material nonlinearity arises from the degradation of the material at elevated
temperatures. In the context of structural performance under extreme thermal action
(such as fire), a finite element procedure is employed to analytically characterise
generic temperature distributions through the thickness of a structural component
arising from different types of fire exposure conditions including: a ‟short hot” fire
leading to a high compartment temperature over a relatively short duration; and a
‟long cool” fire with lower compartment temperatures, but over a longer duration.
Results have shown that despite the larger area under the long cool fire time-temperature
curve, which traditionally represented the fire severity, the effect of the short hot fire
on the nonlinear responses of beams, plates, and shallow shells is more pronounced.
Also, the effect of temperature-dependent material properties is found to be more
pronounced during the short hot fire rather than the long cool fire. Comparison
studies have confirmed that while the current numerical and theoretical approaches
for analysing of thin plates and shells are often computationally intensive, the proposed
approach offers an adequate level of accuracy with a rapid convergence rate
for such structures. The solutions developed can be used to: verify software used
for modelling structural response to thermomechanical actions; help students and
professionals appreciate the fundamental mechanics better; provide relatively quick
solutions for component level analyses; and visualise internal load paths and stress
trajectories in complex structural components such as composite shells that can help
engineers develop deeper insights into the relevant mechanics. The formulations
developed are versatile and can be used for other applications such as laminated
composite or orthotropic shallow shells. A very significant by-product of developing
such fundamental solutions is their potential use in the development of highly accurate
hybrid elements for very efficient modelling of large problems. While this has not
been fully developed and implemented in the current work, the requisite theoretical
framework has been developed and reported in one of the appendices, which can be
used to develop such elements and implement on an appropriate software platform.
| Original language | English |
|---|---|
| Qualification | Doctor of Philosophy (PhD) |
| Awarding Institution |
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| Publication status | Accepted/In press - 2015 |
Bibliographical note
Physical Location: This item is held in stock at Kingston University library.PhD type
- Standard route