Abstract:
Structural optimization of solids aims to find the optimal designs of structures by
minimizing a constrained objective function such as the material compliance within a
given problem domain. This constrained optimization problem is subjected to a set of
displacement and load boundary conditions which in turn will be minimized with
respect to a structural parameter. Although various structural optimization techniques
have a sound mathematical basis, the practical constructability of optimal designs
poses a great challenge in the manufacturing stage. The recent development in additive
manufacturing partially side-steps this problem predominantly in the domain of
Mechanical Engineering. However, in Civil Engineering structures, there is a great
possibility of utilizing these optimization tools, especially in precast constructions.
Currently, there is only a limited number of unified frameworks which output ready to
manufacture parametric Computer-Aided Design (CAD) of the optimal designs. From
a generative design perspective, it is essential to have a single platform that outputs a
structurally optimized CAD model because CAD models are an integral part of most
industrial product development and manufacturing stages.
This study focuses on developing a novel unified workflow handling topology, layout
and size optimization in a single parametric platform (Rhino-Grasshopper) which
outputs a ready-to-manufacture CAD model with the assessment of their structural
integrity. In the proposed method, the first topology optimized pixel model is
generated for any two-dimensional problem and converted into a one-pixel-wide chain
model using skeletonization. From the obtained skeleton, a spatial frame structure is
extracted, and then its member sizes and layout are optimized. Finally, the CAD model
is generated using Constructive Solid Geometry (CSG) trees and its structural
performance is assessed. In addition, industry-standard structural sections can be
assigned to the CAD model to be analyzed and designed in accordance with standard
codes of practice.
Citation:
Lowhikan, S.S. (2023). Analysis and initial design of civil engineering structures using structural optimization [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/22093