Optimal design of trusses with geometric imperfections: Accounting for global instability

By Mehdi Jalalpour, Takeru Igusa, James K. Guest. 2011

75 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/1321ab69ef5156cf52fd053b697dbd6c142723c0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

In Computational Theory and Mathematics

In Mechanics of Materials

Citations in the corpus

An efficient approach to reliability-based topology optimization for continua under material uncertainty (2015, methodology): “…research in this direction has focused on robust topology optimization (RTO) under uncertainty (Guest and Igusa 2008; Chen et al. 2010; Asadpoure et al. 2010, 2011; Jalalpour et al. 2011; Schevenels et al. 2011; Lazarov et al. 2012a, b; Tootkaboni et al. 2012; Jang et al. 2012; Jansen et al. 2013).”
Reliability-based Topology Optimization of Trusses with Stochastic Stiffness (2013, methodology): “This is consis tent with previous findings [30,32,33].”
Robust topology optimization of structures with imperfect geometry based on geometric nonlinear analysis (2015, background): “[13] presented a robust approach to truss topology design which takes into account the influence of imperfections on the structural stability by means of an approximate scheme for the redistribution of forces.”
Buckling strength topology optimization of 2D periodic materials based on linearized bifurcation analysis (2018, methodology): “Proposed techniques for reducing imperfection sensitivity utilize small structural misalignments in the optimization [43], or more comprehensive stochastic models based on Monte Carlo simulations to cover a wider range of geometric uncertainties [44].”
Robust topology optimization accounting for misplacement of material (2012, methodology): “Jalalpour et al. (2011) added a first order non-linear term to this method in order to account for global instabilities.”